lnu.sePublikationer
Ändra sökning
Avgränsa sökresultatet
12 1 - 50 av 77
RefereraExporteraLänk till träfflistan
Permanent länk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Träffar per sida
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sortering
  • Standard (Relevans)
  • Författare A-Ö
  • Författare Ö-A
  • Titel A-Ö
  • Titel Ö-A
  • Publikationstyp A-Ö
  • Publikationstyp Ö-A
  • Äldst först
  • Nyast först
  • Skapad (Äldst först)
  • Skapad (Nyast först)
  • Senast uppdaterad (Äldst först)
  • Senast uppdaterad (Nyast först)
  • Disputationsdatum (tidigaste först)
  • Disputationsdatum (senaste först)
  • Standard (Relevans)
  • Författare A-Ö
  • Författare Ö-A
  • Titel A-Ö
  • Titel Ö-A
  • Publikationstyp A-Ö
  • Publikationstyp Ö-A
  • Äldst först
  • Nyast först
  • Skapad (Äldst först)
  • Skapad (Nyast först)
  • Senast uppdaterad (Äldst först)
  • Senast uppdaterad (Nyast först)
  • Disputationsdatum (tidigaste först)
  • Disputationsdatum (senaste först)
Markera
Maxantalet träffar du kan exportera från sökgränssnittet är 250. Vid större uttag använd dig av utsökningar.
  • 1.
    Tyrkkö, Jukka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Legutko, Justyna
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    “Bongswore, mesdarms et messures”:Code-Switching and Multimodality in Punch Magazine during Victorian Times and Beyond2023Ingår i: Multilingualism from Manuscript to 3D: Intersections of Modalities from Medieval to Modern Times / [ed] Matylda Włodarczyk, Jukka Tyrkkö, Elżbieta Adamczyk, Routledge, 2023, s. 141-169Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This chapter explores the signalling of social otherness in Punch magazine through the use of non-standard orthography, semi-phonetic spelling, and typographic shifts. Building on the concepts of “orthographic aesthetics” (Jaffe 2000) and “zone of social meaning” (Sebba 2007), we use a corpus of 550 issues of Punch, published between the 1840s and 1920s, to discover how often and in what ways both foreign languages and dialects of English were featured in the periodical. The results show that the decision to use visually salient shifts in the written code to mark voices that deviate from the presumed standard was frequently motivated by humour and the desire to highlight a specific speaker’s membership of a distinct social group that was typically defined by nationality, ethnicity, regional background, or class.

  • 2.
    Nevala, Minna
    et al.
    University of Helsinki, Finland.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    From criminal lunacy to mental disorder: The changing lexis of mental health in the British parliament2023Ingår i: Exploring Language and Society with Big Data: Parliamentary discourse across time and space / [ed] Minna Korhonen, Haidee Kotze, Jukka Tyrkkö, John Benjamins Publishing Company, 2023, s. 194-226Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This chapter investigates discourses of mental health in the British parliament over two centuries (1800–2020). A pattern-driven approach is used to explore terminology related to mentally ill people, mental institutions, and mental health in general. The study focuses on lexical trends in parliamentary discourse, the extent to which mental health discourse was discussed in general, and the way in which the lexis of modern mental health care has developed. The results show that the major shifts in the entire lexical field have happened in specific time periods, the turning points being in the 1840s, 1930s and 1950s. The general attitude also seems to have shifted, and the data show an increasing concern for legally protecting people with mental illness.

  • 3.
    Wlodarczyk, Matylda
    et al.
    Adam Mickiewicz University in Poznan, Poland.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Adamczyk, Elzbieta
    Bergische Universität Wuppertal, Germany.
    Intersections of Modalities from Medieval to Modern Times2023Ingår i: Multilingualism from Manuscript to 3D: Intersections of Modalities from Medieval to Modern Times / [ed] Matylda Włodarczyk, Jukka Tyrkkö, Elżbieta Adamczyk, Routledge, 2023, s. 1-16Kapitel i bok, del av antologi (Övrigt vetenskapligt)
    Abstract [en]

    This chapter argues that the integration of the multimodal and the multilingual which pre-exists modern digital media is all but haphazard. Thus, their dynamics and trends that have endured and developed over centuries call for systematic scholarly exploration. For instance, in historical texts and contemporary social media alike pre-attentive engagement techniques are implemented by content producers in order to guide processing. Other manifestations of the multimodal and multilingual interplay involve orthographic aesthetics which encodes social evaluation and commentary of (linguistic) otherness in late modernity, while visual diamorphs, brevigraphs and non-alphabetic symbols embody the prestige of medieval de-luxe manuscripts. Bilingualism in contemporary social media is as purposeful and commercially devised a tool as the graphics and photos placed in blogs and vlogs by micro-influencers. The chapter offers an approach that paves the way for generalisations and extension to cover further data representing other languages and periods.

  • 4.
    Wlodarczyk, Matilda
    et al.
    Adam Mickiewicz University in Poznan, Poland.
    Tyrkkö, JukkaLinnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).Adamczyk, ElzbietaBergische Universität Wuppertal, Germany.
    Multilingualism from Manuscript to 3D: Intersections of Modalities from Medieval to Modern Times2023Samlingsverk (redaktörskap) (Övrigt vetenskapligt)
    Abstract [en]

    This collection explores the links between multimodality and multilingualism, charting the interplay between languages, channels and forms of communication in multilingual written texts from historical manuscripts through to the new media of today and the non-verbal associations they evoke.

    The volume argues that features of written texts such as graphics, layout, boundary marking and typography are inseparable from verbal content. Taken together, the chapters adopt a systematic historical perspective to investigate this interplay over time and highlight the ways in which the two disciplines might further inform one another in the future as new technologies emerge. The first half of the volume considers texts where semiotic resources are the sites of modes, where multiple linguistic codes interact on the page and generate extralinguistic associations through visual features and spatial organizaisation. The second half of the book looks at texts where this interface occurs not in the text but rather in the cultural practices involved in social materiality and text transmission.

    Enhancing our understandings of multimodal resources in both historical and contemporary communication, this book will be of interest to scholars in multimodality, multilingualism, historical communication, discourse analysis and cultural studies.

  • 5.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Network graphs to the rescue, or how to visualise distributions and networks in corpora and language2023Ingår i: Data Visualization in Corpus Linguistics: Critical Reflections and Future Directions / [ed] Sönning, Lukas;Schützler, Ole, Helsinki: VARIENG, University of Helsinki , 2023Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Whether we are talking about the structural properties of corpora or the dispersion of linguistic phenomena within corpora or the language system, corpus-based analyses almost invariably deal with complex and relational data. However, due in part to the design of online and standalone corpus tools, corpora are often treated exclusively from the so-called bag-of-words perspective. As corpora have increased in size, it has become increasingly difficult to understand their structures and metadata, and associations between linguistic features are almost impossible to grasp from tabular data and test statistics alone. In recent years, data visualisation methods developed in the natural sciences have become a part of the digital humanist’s toolkit for gaining insights into complex data, understanding their structure, for identifying outliers and noteworthy categories, and for communicating findings in a way that readers and audiences will remember. In this paper, I will focus on network visualisations, which are highly suited for both exploring and presenting complex linked data. The main tool discussed is Cytoscape, an open-access network visualisation tool widely used in bioinformatics and supported by a large user-base. I will present a series of case studies of how network visualisations can assist in both exploratory analysis and descriptive visualisation of corpora and linguistic data. First, I will demonstrate their utility for exploring the structures of corpora and their metadata. Second, I will show how visualisation methods can clarify collocate relationships and how such visualisations can be designed to represent association strengths in a way that does not mislead the reader. And third, I use network graphing to explore the distribution of multilingual elements across millions of tweets, combining linguistic data and metadata to produce an overview that could not be represented otherwise.

    Ladda ner fulltext (pdf)
    fulltext
  • 6.
    Tyrkkö, Jukka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Kotze, Haidee
    Utrecht University, Nederlands;North-West university, South Africa.
    Perspectives on parliamentary discourse: From corpus linguistics to cultural analytics2023Ingår i: Exploring Language and Society with Big Data: Parliamentary discourse across time and space / [ed] Minna Korhonen; Haidee Kotze; Jukka Tyrkkö, John Benjamins Publishing Company, 2023, s. 1-16Kapitel i bok, del av antologi (Övrigt vetenskapligt)
  • 7.
    Kucher, Kostiantyn
    et al.
    Linköpings University, Sweden.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Linköpings University, Sweden.
    Supporting University Research and Administration via Interactive Visual Exploration of Bibliographic Data2023Ingår i: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '23): Volume 3: IVAPP / [ed] Christophe Hurter, Helen Purchase, and Kadi Bouatouch, SciTePress, 2023, s. 248-255Konferensbidrag (Refereegranskat)
    Abstract [en]

    Bibliographic data and bibliometric analyses play an important role in the professional life of academic researchers, and the quality of the respective publication records is essential for establishing the big picture of the relationships between particular publications, their authors and affiliations, or further data facets associated with publications. In this paper, we report on the design and outcomes of an interactive visual data exploration project conducted within the scope of a university with the goal of gaining overview of the university publication data. The project has been carried out by information visualization researchers in collaboration with several groups of stakeholders, including the university library and administration staff. We describe the design considerations, the resulting interactive visual interface, and the feedback received from the stakeholders with respect to the tool functionality and the insights discovered in the bibliographic data.

  • 8.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Linköping University, Sweden.
    Sultanum, Nicole
    University of Toronto, Canada.
    Daza, Angel
    Vrije Universiteit Amsterdam, Netherlands.
    Simaki, Vasiliki
    Lund University, Sweden.
    Skeppstedt, Maria
    Uppsala University, Sweden.
    Plank, Barbara
    LMU Munich, Germany;IT University of Copenhagen, Denmark.
    Fekete, Jean-Daniel
    Inria, France;Université Paris-Saclay, France.
    Mahyar, Narges
    UMass Amherst, USA.
    An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper2022Ingår i: Proceedings of the 2022 IEEE Workshop on Evaluation and Beyond — Methodological Approaches to Visualization (BELIV '22), IEEE, 2022, s. 28-37Konferensbidrag (Refereegranskat)
    Abstract [en]

    Appropriate evaluation and experimental design are fundamental for empirical sciences, particularly in data-driven fields. Due to the successes in computational modeling of languages, for instance, research outcomes are having an increasingly immediate impact on end users. As the gap in adoption by end users decreases, the need increases to ensure that tools and models developed by the research communities and practitioners are reliable, trustworthy, and supportive of the users in their goals. In this position paper, we focus on the issues of evaluating visual text analytics approaches. We take an interdisciplinary perspective from the visualization and natural language processing communities, as we argue that the design and validation of visual text analytics include concerns beyond computational or visual/interactive methods on their own. We identify four key groups of challenges for evaluating visual text analytics approaches (data ambiguity, experimental design, user trust, and "big picture" concerns) and provide suggestions for research opportunities from an interdisciplinary perspective.

  • 9.
    Laitinen, Mikko
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Big and rich social networks in computational sociolinguistics2022Ingår i: Social and Regional Variation in World Englishes: Local and Global Perspectives / [ed] Paula Rautionaho, Hanna Parviainen, Mark Kaunisto & Arja Nurmi, Routledge, 2022, s. 166-189Kapitel i bok, del av antologi (Refereegranskat)
  • 10.
    Tyrkkö, Jukka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Mäkinen, Ilkka
    Tampere University, Finland.
    Culturomic explorations of literary prominence using Google Books: A pilot study2022Ingår i: Knygotyra, ISSN 0204-2061, E-ISSN 2345-0053, Vol. 78, s. 111-139Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The availability of databases of digitised literary materials, such as Google Books, Europeana and historical newspaper databases, has revolutionised many disciplines, e.g., linguistics and history. So far, the use of digitised materials has not been very frequent in the history of books and the history of reading. This article presents tools, methodologies and practices that offer new possibilities in the study of book history and the history of reading. The use of these tools makes it possible to study vast amounts of data quickly and effectively, to present results in helpful visualisations, to make it possible to follow the line of reasoning and, if necessary, to check the reliability of the research by presenting the data for control. The examples presented are drawn from the Google Books database using a simple piece of software that exploits the API of the Google Books Ngram Viewer tool that is available free of charge.

    Ladda ner fulltext (pdf)
    fulltext
  • 11.
    Tyrkkö, Jukka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Alkenäs, Pauline
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Richardson-Owen, Esme Katherine
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Widegren, Johannes
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    From Symptomes of Martirdome to Symptoms of Inclination: An Investigation of Symptom in Non-medical Writing in Early Modern English2022Ingår i: Nordic Journal of English Studies, ISSN 1502-7694, E-ISSN 1654-6970, Vol. 21, nr 2, s. 108-137Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The signifier term symptom is strongly associated with the medical register, and its history in English medical writing has been studied quite extensively. This study contributes to our knowledge of the non-medical uses of symptom during the Early Modern period. Drawing on the 1.4-billion-word Early English Books Online corpus, the study examines all extant occurrences of symptom and categorises their usage. The diachronic study shows that non-medical uses of symptom emerged almost immediately after the word came into common use, and that despite its semantic association with medical prognostication and ailments of various kinds, symptom has always been used to some extent as a signifier term referring to positive events and states of being.

    Ladda ner fulltext (pdf)
    fulltext
  • 12.
    Tyrkkö, Jukka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Rudanko, Juhani
    University of Tampere, Finland.
    Grammar, text type, and diachrony as factors influencing complement choice in historical American English2022Ingår i: Earlier North American Englishes / [ed] Merja Kytö; Lucia Siebers, Amsterdam: John Benjamins Publishing Company, 2022, s. 123-146Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    A key task in the study of the system of English predicate complementation is to account for the variation between to infinitive and gerundial complements of verbs and adjectives in recent English. This chapter examines to infinitive and to ‑ing complements of the adjective accustomed, with data from the Corpus of Historical American English (COHA), in order to assess the impact of factors of different types on the variation in question. The grammatical factors are the Extraction and Choice Principles, and attention is also paid to the possible role of insertions. Following a discussion of the key theoretical concepts and a description of the primary data, a logistic regression model is used to analyse the role of independent variables on complement selection of the adjective accustomed.

  • 13.
    Alantie, Sonja
    et al.
    University of Turku, Finland;Tampere University Hospital, Finland.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Makkonen, Tanja
    University of Turku, Finland;Tampere University Hospital, Finland.
    Renvall, Kati
    University of Turku, Finland;Macquarie University, Australia.
    Is Old Age Just a Number in Language Skills?: Language Performance and Its Relation to Age, Education, Gender, Cognitive Screening, and Dentition in Very Old Finnish Speakers2022Ingår i: Journal of Speech, Language and Hearing Research, ISSN 1092-4388, E-ISSN 1558-9102, Vol. 65, nr 1, s. 274-291Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Purpose:This study reports on how very old (VO) Finnish people without dementia perform in the Western Aphasia Battery (WAB) and two verbal fluency tasks and which demographic factors predict the performance.

    Method:The study included fifty 80- to 100-year-old community-dwelling Finnish speakers with no dementing illnesses or speech-language disabilities, who completed the WAB and two verbal fluency tasks. Multifactorial statistical analyses with recursive partitioning were carried out to determine the significant predictors out of five predictor variables (age, gender, education, dentition, and Mini-Mental State Examination [MMSE]) for four response variables (WAB Aphasia Quotient [AQ], Language Quotient [LQ], semantic, and phonemic word fluencies).

    Results:Overall, individual variation was notable in VO speakers. All predictor variables were statistically significantly associated with one or more of the language skills. Age was the most significant predictor; the critical age of 85–86 years was associated with a decline in WAB-AQ and semantic fluency. Poor dentition and the MMSE score both predicted a decline in WAB-LQ and phonemic fluency. A high level of education was positively associated with the skills of the best-performing individuals in WAB-AQ, WAB-LQ, and semantic fluency.

    Conclusions:VO age is a significant factor contributing to language performance. However, a younger age, a good cognitive performance, intact teeth, and a higher educational level also seem to have a preservative power as regards language skills. Gender differences should be interpreted with caution. The results of this study provide culture- and language-specific normative data, which aids in differentiating typical aging from the signs of acute or degenerative neuropathology to ensure appropriate medical and therapeutic interventions.

  • 14.
    Laitinen, Mikko
    University of Eastern Finland, Finland.
    Sofia Rüdiger and Daria Dayter (eds.), Corpus approaches to social media (Studies in Corpus Linguistics 98). Amsterdam and Philadelphia: John Benjamins, 2020. Pp. vi + 210. ISBN 9789027207944.2022Ingår i: English Language and Linguistics, ISSN 1360-6743, Vol. 27, nr 1, s. 209-214Artikel, recension (Refereegranskat)
  • 15.
    Yantseva, Victoria
    et al.
    Uppsala University, Sweden.
    Kucher, Kostiantyn
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Linköping University, Sweden.
    Stance Classification of Social Media Texts for Under-Resourced Scenarios in Social Sciences2022Ingår i: Data, E-ISSN 2306-5729, Vol. 7, nr 11, artikel-id 159Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In this work, we explore the performance of supervised stance classification methods for social media texts in under-resourced languages and using limited amounts of labeled data. In particular, we focus specifically on the possibilities and limitations of the application of classic machine learning versus deep learning in social sciences. To achieve this goal, we use a training dataset of 5.7K messages posted on Flashback Forum, a Swedish discussion platform, further supplemented with the previously published ABSAbank-Imm annotated dataset, and evaluate the performance of various model parameters and configurations to achieve the best training results given the character of the data. Our experiments indicate that classic machine learning models achieve results that are on par or even outperform those of neural networks and, thus, could be given priority when considering machine learning approaches for similar knowledge domains, tasks, and data. At the same time, the modern pre-trained language models provide useful and convenient pipelines for obtaining vectorized data representations that can be combined with classic machine learning algorithms. We discuss the implications of their use in such scenarios and outline the directions for further research.

    Ladda ner fulltext (pdf)
    fulltext
  • 16.
    Tyrkkö, Jukka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Levin, Magnus
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Laitinen, Mikko
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). Univ Eastern Finland, Finland.
    Actually in Nordic tweets2021Ingår i: World Englishes, ISSN 0883-2919, E-ISSN 1467-971X, Vol. 40, nr 4, s. 631-649Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    ‘Native-like’ use of discourse markers is a good indicator of language proficiency. Analysing four subcorpora of English-language tweets posted by Twitter users from the Nordic countries of Finland, Norway, and Sweden, this study considers the effects of discursive context and L1 influence on the correlation between semantic function and sentence position of the discourse marker actually. The study shows that both predictors appear to have a significant effect. A more formal context predicts more standard punctuation, distribution of the pragmatic functions, and placement of the discourse marker, and L1 influence is reflected in the preferred sentence position, with a substantial and significant difference observed between the Finnic and Germanic L1s. Furthermore, the study shows that while the discourse marker actually is significantly more frequent in colloquial Twitter language than in spoken English, the frequency is significantly lower and in line with spoken English in more constrained contexts.

    Ladda ner fulltext (pdf)
    fulltext
  • 17.
    Golub, Koraljka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Automated Subject Indexing: An Overview2021Ingår i: Cataloging & Classification Quarterly, ISSN 0163-9374, E-ISSN 1544-4554, Vol. 59, nr 8, s. 702-719Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In the face of the ever-increasing document volume, libraries around the globe are more and more exploring (semi-) automated approaches to subject indexing. This helps sustain bibliographic objectives, enrich metadata, and establish more connections across documents from various collections, effectively leading to improved information retrieval and access. However, generally accepted automated approaches that are functional in operative systems are lacking. This article aims to provide an overview of basic principles used for automated subject indexing, major approaches in relation to their possible application in actual library systems, existing working examples, as well as related challenges calling for further research.

  • 18.
    Säily, Tanja
    et al.
    University of Helsinki, Finland.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Challenges of combining structured and unstructured data in corpus development2021Ingår i: Research in Corpus Linguistics (RiCL), ISSN 1064-4857, E-ISSN 2243-4712, Vol. 9, nr 1, s. I-viiiArtikel i tidskrift (Övrigt vetenskapligt)
    Abstract [en]

    Recent advances in the availability of ever larger and more varied electronic datasets, both historical and modern, provide unprecedented opportunities for corpus linguistics and the digital humanities. However, combining unstructured text with images, video, audio as well as structured metadata poses a variety of challenges to corpus compilers. This paper presents an overview of the topic to contextualise this special issue of Research in Corpus Linguistics. The aim of the special issue is to highlight some of the challenges faced and solutions developed in several recent and ongoing corpus projects. Rather than providing overall descriptions of corpora, each contributor discusses specific challenges they faced in the corpus development process, summarised in this paper. We hope that the special issue will benefit future corpus projects by providing solutions to common problems and by paving the way for new best practices for the compilation and development of rich-data corpora. We also hope that this collection of articles will help keep the conversation going on the theoretical and methodological challenges of corpus compilation.

  • 19.
    Yantseva, Victoria
    et al.
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Kucher, Kostiantyn
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Linköping University, Sweden.
    Machine Learning for Social Sciences: Stance Classification of User Messages on a Migrant-Critical Discussion Forum2021Ingår i: Proceedings of the 2021 Swedish Workshop on Data Science (SweDS) / [ed] Rafael M. Martins, Morgan Ericsson, Danny Weyns, Kostiantyn Kucher, IEEE, 2021, s. 1-8Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we present our methodology for supervised stance classification of sparse and imbalanced social media data. We test our framework on a manually labeled dataset of 5700 messages about immigration in the Swedish language posted on the Flashback forum, a controversial online discussion platform. Our proposed approach currently achieves a macro- averaged F1-score of 0.72 for test data on a two-class problem compared against 0.27 for a baseline four-class model. Since effective classification of imbalanced and sparse textual data in under-resourced languages presents certain methodological challenges, our study contributes to a discussion on the best pathways to achieve highest model performance given the character of the data and unavailability of large training datasets for this task. Moreover, this work exemplifies the application of ML methodology to social media data, which can be particularly relevant for social scientists working in this area and interested in leveraging the possibilities of machine learning in their research field. This methodology and the obtained results provide a foundation for further in-depth analyses of social media texts in the Swedish language following a data-driven approach.

  • 20.
    Martins, Rafael Messias
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ericsson, MorganLinnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).Weyns, DannyLinnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Katholieke Universiteit Leuven, Belgium.Kucher, KostiantynLinnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Linköping University, Sweden.
    Proceedings of the 2021 Swedish Workshop on Data Science (SweDS): Växjö, SwedenDecember 2–3, 20212021Proceedings (redaktörskap) (Refereegranskat)
    Abstract [en]

    Welcome to the 9th Swedish Workshop on Data Science (SweDS21) held (virtually) in Växjö, Sweden during December 2–3, 2021. SweDS is a national event with a focus of maintaining and developing Swedish data science research and its applications by fostering the exchange of ideas and promoting collaboration within and across disciplines. This annual workshop brings together researchers and practitioners of data science working in a variety of academic, commercial, industrial, or other sectors. The current and past workshops have included presentations from a variety of domains, e.g., computer science, linguistics, eco- nomics, archaeology, environmental science, education, journalism, medicine, healthcare, biology, sociology, psychology, history, physics, chemistry, geography, forestry, design, and music. SweDS is hosted by Linnaeus University (Växjö, Sweden) this year. Due to the yet ongoing COVID-19 pandemic, travel restrictions, and public health concerns, the workshop is conducted online-only, which has allowed authors both within and outside of Sweden to submit and present their work. 

  • 21.
    Hansson, Joacim
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Golub, Koraljka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Ahlström, Ida
    Linnéuniversitetet, Universitetsbiblioteket.
    Publication Practices in the Humanities: An in-depth Study of a Swedish Arts and Humanities Faculty 2010-20182021Ingår i: Nordic Journal of Library and Information Studies, ISSN 2597-0593, Vol. 2, nr 2, s. 41-64Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper is a case study of research publication practices at the Faculty of Arts and Humanities at Linnaeus University, a young, mid-sized university in the south-east of Sweden. Research output was measured from publications in the local institutional repository following the guidelines of local research policy as defined in university documentation. The data collection comprised 3,316 metadata records of publications self-registered by authors affiliated with the faculty during the period of 2010–2018. A statistical analysis of research output was conducted, focusing on preferred publication types, disciplinary specificity, level of co-authorship, and the language of the publication as registered in the local repository. The analysis focused on two main research questions: 1) how do the local research practices stand in relation to traditional publication patterns in the humanities? 2) how do the observed publication patterns relate to local university policy on publication and research evaluation? The empirical results suggest a limited correlation between publication practices and research incentives from university management, a finding that is corroborated by previous research on the scholarly character of the humanities and university policies. Overall, traditional humanities publication patterns were largely maintained throughout the period under investigation.

    Ladda ner fulltext (pdf)
    fulltext (pdf)
  • 22.
    Fatemi, Masoud
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). University of Eastern Finland, Finland.
    Kucher, Kostiantyn
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Linköping University, Sweden.
    Laitinen, Mikko
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). University of Eastern Finland, Finland.
    Fränti, Pasi
    University of Eastern Finland, Finland.
    Self-Similarity of Twitter Users2021Ingår i: Proceedings of the 2021 Swedish Workshop on Data Science (SweDS) / [ed] Rafael M. Martins, Morgan Ericsson, Danny Weyns, Kostiantyn Kucher, IEEE, 2021, s. 1-7Konferensbidrag (Refereegranskat)
    Abstract [en]

    Earlier studies have established that the (perceived) similarity of users is highly subjective and reflects more on how people respect/admire others rather than their characteristics or behavioral similarities. We study this phenomenon among Twitter users, and while confirm that it is indeed the case, we further explore the components of similarity by investigating it using data from three categories (interactions between egos and alters, profile-based activity history, and linguistic content in the messages). We use interactions as estimation for admiration and observe that it has more impact and a higher correlation to the perceived similarity than other objective measures, including similarity based on user profiles and their use of hashtags.

  • 23.
    Ozturkcan, Selcen
    Linnéuniversitetet, Ekonomihögskolan (FEH), Institutionen för marknadsföring (MF). Sabancı University, Turkey.
    Service innovation: Using augmented reality in the IKEA Place app2021Ingår i: Journal of Information Technology Teaching Cases, E-ISSN 2043-8869, Vol. 11, nr 1, s. 8-13Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    IKEA, a worldwide known “Assemble & Install-It-Yourself” furniture company with Swedish origin, launched an augmented reality app, namely, IKEA Place, that aimed to solve practical problems surrounding furniture shopping in September 2017. The IKEA Place, which used augmented reality to allow its users to visualize how furniture will look in their own home, is examined in this article. Discussion is centered around how the app allowed IKEA to create a service-centered value as it signaled that it understood the hurdles involved in the furniture shopping process for investing to extend technology-based support to its customers.

    Ladda ner fulltext (pdf)
    fulltext
  • 24.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Fatemi, Masoud
    University of Eastern Finland, Finland.
    Laitinen, Mikko
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). University of Eastern Finland, Finland.
    Towards Visual Sociolinguistic Network Analysis2021Ingår i: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '21): Volume 3: IVAPP, Online Streaming, February 8-10, 2021 / [ed] Christophe Hurter, Helen Purchase, Jose Braz, Kadi Bouatouch, SciTePress, 2021, Vol. 3, s. 248-255Konferensbidrag (Refereegranskat)
    Abstract [en]

    Investigation of social networks formed by individuals in various contexts provides numerous interesting and important challenges for researchers and practitioners in multiple disciplines. Within the field of variationist sociolinguistics, social networks are analyzed in order to reveal the patterns of language variation and change while taking the social, cultural, and geographical aspects into account. In this field, traditional approaches usually focusing on small, manually collected data sets can be complemented with computational methods and large digital data sets extracted from online social network and social media sources. However, increasing data size does not immediately lead to the qualitative improvement in the understanding of such data. In this position paper, we propose to address this issue by a joint effort combining variationist sociolinguistics and computational network analyses with information visualization and visual analytics. In order to lay the foundation for this interdisciplinary collaboration, we analyse the previous relevant work and discuss the challenges related to operationalization, processing, and exploration of such social networks and associated data. As the result, we propose a roadmap towards realization of visual sociolinguistic network analysis.

    Ladda ner fulltext (pdf)
    fulltext
  • 25.
    Ozturkcan, Selcen
    et al.
    Linnéuniversitetet, Ekonomihögskolan (FEH), Institutionen för marknadsföring (MF).
    Özdinc, Mesut
    Åbo Akademi University, Finland;Mimar Sinan Fine Arts University, Turkey.
    A deadly game user experience: the case of #BlueWhaleChallenge2020Ingår i: Game user experience and player-centered design / [ed] Barbaros Bostan, Cham: Springer, 2020, s. 395-407Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Lately, the Blue Whale Challenge, which is also known as the Blue Whale Game, received public attention via the countless news about teenagers all around the world harming themselves as they engage with the so-called game (Balhara et al., Asia Pac Psychiatry, 10(3), 2018; Sousa et al., Int J Soc Psychiatry, 63(8), 796–797, 2017). Though referred to as a game, it involves a series of self-harming tasks (Narayan etal., Indian J Psychiatry, 61(1), 2019), which spread via social media for completion in 50 days.The final task reported as to commit suicide (Khattar et al., White or Blue, the Whale gets its Vengeance: A Social Media Analysis of the Blue Whale Challenge, 2018). The victims of the Blue Whale Challenge, being mostly teenagers and young adults, the significant concern rising from the families calls for the topic to treated as that of a severe public health issue (Kumar et al., Psychobiological determinants of ‘Blue Whale Suicide Challenge’ victimization: A proposition for the agency mediated mental health risk in new media age, 2017). To this date, the blue whale challenge is perhaps the only game that demands its user to end his/her life for completing the game (Mukhra et al., Sci Eng Ethics, 25(1), 285–291, 2019). This chapter aims to explore the collection of news that involved the often-deadly game user experiences. Contributions are in several folds starting from the game user experience field to the gamer psychology as well as public health policy development and text analysis of broadcasted news surrounding a critical public concern.

  • 26.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hagelbäck, Johan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ardö, Anders
    Lund University, Sweden.
    Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches2020Ingår i: Journal of Data and Information Science, ISSN 2096-157X, Vol. 5, nr 1, s. 18-38Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Purpose

    With more and more digital collections of various information resources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey Decimal Classification (DDC) classes for Swedish digital collections, the paper aims to evaluate the performance of six machine learning algorithms as well as a string-matching algorithm based on characteristics of DDC.

    Design/methodology/approach

    State-of-the-art machine learning algorithms require at least 1,000 training examples per class. The complete data set at the time of research involved 143,838 records which had to be reduced to top three hierarchical levels of DDC in order to provide sufficient training data (totaling 802 classes in the training and testing sample, out of 14,413 classes at all levels).

    Findings

    Evaluation shows that Support Vector Machine with linear kernel outperforms other machine learning algorithms as well as the string-matching algorithm on average; the string-matching algorithm outperforms machine learning for specific classes when characteristics of DDC are most suitable for the task. Word embeddings combined with different types of neural networks (simple linear network, standard neural network, 1D convolutional neural network, and recurrent neural network) produced worse results than Support Vector Machine, but reach close results, with the benefit of a smaller representation size. Impact of features in machine learning shows that using keywords or combining titles and keywords gives better results than using only titles as input. Stemming only marginally improves the results. Removed stop-words reduced accuracy in most cases, while removing less frequent words increased it marginally. The greatest impact is produced by the number of training examples: 81.90% accuracy on the training set is achieved when at least 1,000 records per class are available in the training set, and 66.13% when too few records (often less than 100 per class) on which to train are available—and these hold only for top 3 hierarchical levels (803 instead of 14,413 classes).

    Research limitations

    Having to reduce the number of hierarchical levels to top three levels of DDC because of the lack of training data for all classes, skews the results so that they work in experimental conditions but barely for end users in operational retrieval systems.

    Practical implications

    In conclusion, for operative information retrieval systems applying purely automatic DDC does not work, either using machine learning (because of the lack of training data for the large number of DDC classes) or using string-matching algorithm (because DDC characteristics perform well for automatic classification only in a small number of classes). Over time, more training examples may become available, and DDC may be enriched with synonyms in order to enhance accuracy of automatic classification which may also benefit information retrieval performance based on DDC. In order for quality information services to reach the objective of highest possible precision and recall, automatic classification should never be implemented on its own; instead, machine-aided indexing that combines the efficiency of automatic suggestions with quality of human decisions at the final stage should be the way for the future.

    Originality/value

    The study explored machine learning on a large classification system of over 14,000 classes which is used in operational information retrieval systems. Due to lack of sufficient training data across the entire set of classes, an approach complementing machine learning, that of string matching, was applied. This combination should be explored further since it provides the potential for real-life applications with large target classification systems.

  • 27.
    Golub, Koraljka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Automatic Identification of Topics: Applications and Challenges2020Ingår i: Doing Digital Humanities: Concepts, Approaches, Cases / [ed] Joacim Hansson, Jonas Svensson, Växjö: Linnaeus University Press, 2020, s. 5-26Kapitel i bok, del av antologi (Refereegranskat)
  • 28.
    Tyrkkö, Jukka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Frisk, Irina
    Mid Sweden University, Sweden.
    Crooked Hillary, Lyin’ Ted, and Failing New York Times: Nicknames in Donald Trump’s Tweets2020Ingår i: Linguistic Inquiries into Donald Trump’s Language: From 'Fake News' to 'Tremendous Success' / [ed] Ulrike Schneider, Matthias Eitelmann, London: Bloomsbury Academic, 2020, s. 109-129Kapitel i bok, del av antologi (Refereegranskat)
  • 29.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Göransson, Elisabet
    Lund University, Sweden.
    Foka, Anna
    Uppsala University, Sweden;Umeå University, Sweden.
    Huvila, Isto
    Uppsala University, Sweden.
    Digital humanities in Sweden and its infrastructure: Status quo and the sine qua non2020Ingår i: Digital Scholarship in the Humanities, ISSN 2055-7671, E-ISSN 2055-768X, Vol. 35, nr 3, s. 547-556Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The article offers a state-of-the-art overview of a number of Digital Humanities (DH) initiatives that have emerged in Sweden over the past decade. We identify two major developments that seem to be taking place within DH, with a specific focus on the infrastructural aspects of the development: (1) a strive to open up and broaden the research output and (2) multi-disciplinary collaboration and its effects. The two major components accentuate the new infrastructural patterns that are developing and the challenges these infer on universities. While current research is at large multi-disciplinary, developing infrastructures also enable the move towards post-disciplinarity, bringing the universities closer to the surrounding society. At five universities in Sweden, individual-sited infrastructures supporting DH research have been built today. They are complemented by national and international infrastructures, thus supporting developments and tackling some of the major challenges. In the article, the relations between individual disciplines, the question of multi- and post-disciplinarity, and the field of Digital Humanities are discussed, while stressing the factors necessary—sine qua non—for a fruitful development of the scholarly infrastructures.

    Ladda ner fulltext (pdf)
    Fulltext (After review)
    Ladda ner fulltext (pdf)
    Fulltext (Before review)
  • 30.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Early Modern Medicine in Manuscript and Print: A Triangulation Approach to Analysing Spelling Standardisation2020Ingår i: International Journal of English Studies (IJES), ISSN 1578-7044, E-ISSN 1989-6131, Vol. 20, nr 2, s. 67-93Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The standardisation process of English spelling largely came to its conclusion during the Early Modern period. While the progress of standardisation has been studied in both printed and manuscript texts, few studies have looked at these processes side by side, especially focusing on the same genre of writing and by using corpora that are sufficiently large for quantitative comparison. Using two Early Modern medical corpora, one based on manuscripts and the other on printed sources, this paper compares the trajectories of spelling standardisation in the two textual domains and shows that while spelling standardisation progressed in an almost linear fashion in printed texts, the manuscripts reveal a much more varied and shallow cline toward standardisation.

  • 31.
    Laitinen, Mikko
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). University of Eastern Finland, Finland.
    Lundberg, Jonas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). University of Eastern Finland, Finland.
    ELF, language change and social networks: Evidence from real-time social media data2020Ingår i: Language Change: The Impact of English as a Lingua Franca / [ed] Anna Mauranen, Svatlana Vetchinnikova, Cambridge: Cambridge University Press, 2020, s. 179-204Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This article extends ELF studies towards variationist and computational sociolinguistics. It uses social network theory to explore how ELF is embedded in the social structures in which it is used and explores the size and nature of social networks in ELF. The empirical part investigates if multilingual and often mobile ELF users have larger networks and more weak ties than others, and if they therefore could be more likely to act as innovators or early adopters of change than the other speaker groups. Our empirical material consists of real-time social media data from Twitter. The results show that, statistically speaking, social embedding of ELF creates conditions that favor change. ELF users have larger networks and more weak ties than the other groups examined here. With regard to methods, social embedding needs to be taken into account in future studies, and we illustrate that variationist and computational sociolinguistics offers a useful theoretical and methodological toolbox for this task.

    Ladda ner fulltext (pdf)
    fulltext
  • 32.
    Laitinen, Mikko
    University of Eastern Finland, Finland.
    Empirical perspectives on English as a lingua franca (ELF) grammar2020Ingår i: World Englishes, ISSN 0883-2919, E-ISSN 1467-971X, Vol. 39, nr 3, s. 427-442Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This article focuses on grammatical variation in English as a lingua franca (ELF). Calling for more systematic corpus studies, it presents three empirical perspectives that broaden and deepen the study of grammatical variability in ELF. These approaches focus on tracing how ongoing grammatical change in core and emergent modal auxiliaries is adopted in ELF. The empirical evidence is drawn from various ELF corpora that cover multiple genres. Utilizing the quantitative paradigm and building on corpus-based variationist methods, the three perspectives highlight and call for more studies (1) in which the object of study consist of broad grammatical categories and which compare quantitative patterns between ELF and other types of Englishes, (2) combine quantitative methods with close-up qualitative analyses, and (3) investigate probabilistic constraints in ELF grammar. The results show that ELF is shaped by the same natural evolutionary processes that affect the established varieties. The role of these natural processes needs to be taken into account in future ELF studies.

  • 33.
    Tyrkkö, Jukka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Räikkönen, Jenni
    Tampere University, Finland.
    On the dynamic interaction between peritext and epitext: Punch magazine as a case study2020Ingår i: The Dynamics of Text and Framing Phenomena: Historical approaches to paratext and metadiscourse in English / [ed] Matti Peikola, Birte Bös, Amsterdam: John Benjamins Publishing Company, 2020, s. 33-61Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Originally introduced in literary theory, Gerard Genette’s concept of paratext has been increasingly adopted in historical linguistics as a collective term for features other than the so-called ‘body text’. While this development and the renewed attention to these features is welcome, we argue that Genette’s original concept has been simplified and at least partly misrepresented in the linguistic context. Using a newly compiled corpus of Punch magazine as our primary data, we discuss how and why the two constituent terms of paratext, peritext and epitext, can be useful in the linguistic context. More specifically, we demonstrate that when considered from a diachronic perspective, the interactions between the concepts may afford new insights into textual interpretation.

  • 34.
    Şengün, Sercan
    et al.
    Illinois State University, USA.
    Ozturkcan, Selcen
    Linnéuniversitetet, Ekonomihögskolan (FEH), Institutionen för marknadsföring (MF). Sabancı University, Turkey.
    Re-shaped by mobile technologies’ disruption: the videogame industry in Turkey2020Ingår i: Studies on Marketing Insights, E-ISSN 2667-6591, Vol. 4, nr 1, s. 44-56Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Purpose - In this paper, we investigate the business disruption effects of mobile technologies for the videogame industry in Turkey. Previous research shows that before mobile gaming became prevalent globally, Turkish videogame industry was extremely small and lacked any success stories for either console or PC platforms.

    Design/methodology/approach - To capture the nuances of this disruptive transition, we performed structured interviews with industry experts and analyzed prominent discussion forums. We especially focused on answering the following questions: (1) how prepared were Turkish videogame development companies in handling the mobile disruptive change; (2) what kind of transformations they experienced in their business plans and practices; (3) how the disruption affected the way they viewed their customer base; and (4) what future disruptions they expect in their industry.

    Findings - Analysis of interview and discussion data revealed some recurring themes that we discussed in detail: (1) ability to handle disruptive change (e.g., technical resources and fast-changing industry trends); (2) business transformations (e.g., agile vs. slow development, marketing-oriented business practices, and market burn-outs); (3) re-definition of the customer base (e.g., generalizations, niche categories, piracy, and clone games); (4) future disruptions (e.g., AR/VR and the maturity of mobile gamers); and (5) other general themes (e.g, stigma about gaming and localization of global titles vs. local production of original IPs).

    Social/Economic/Sectoral value - In order to create a stronger local industry, state bodies and non-governmental organizations can facilitate positive outcomes from these disruption periods by addressing and creating solutions for the issues revealed in this work. Originality – This paper offers unique insights to understand the videogame industry in Turkey. 

    Ladda ner fulltext (pdf)
    fulltext
  • 35.
    Laitinen, Mikko
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). University of Eastern Finland, Finland.
    Fatemi, Masoud
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). University of Eastern Finland, Finland.
    Lundberg, Jonas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Size matters: digital social networks and language change2020Ingår i: Frontiers in Artificial Intelligence, E-ISSN 2624-8212, Vol. 3, s. 1-15, artikel-id 46Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Social networks play a role in language variation and change, and the social network theory has offered a powerful tool in modeling innovation diffusion. Networks are characterized by ties of varying strength which influence how novel information is accessed. It is widely held that weak-ties promote change, whereas strong ties lead to norm-enforcing communities that resist change. However, the model is primarily suited to investigate small ego networks, and its predictive power remains to be tested in large digital networks of mobile individuals. This article revisits the social network model in sociolinguistics and investigates network size as a crucial component in the theory. We specifically concentrate on whether the distinction between weak and strong ties levels in large networks over 100 nodes. The article presents two computational methods that can handle large and messy social media data and render them usable for analyzing networks, thus expanding the empirical and methodological basis from small-scale ethnographic observations. The first method aims to uncover broad quantitative patterns in data and utilizes a cohort-based approach to network size. The second is an algorithm-based approach that uses mutual interaction parameters on Twitter. Our results gained from both methods suggest that network size plays a role, and that the distinction between weak ties and slightly stronger ties levels out once the network size grows beyond roughly 120 nodes. This finding is closely similar to the findings in other fields of the study of social networks and calls for new research avenues in computational sociolinguistics.

    Ladda ner fulltext (pdf)
    fulltext
  • 36.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Hansson, Joacim
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Ahlström, Ida
    Linnéuniversitetet, Universitetsbiblioteket.
    Subject indexing in humanities: A comparison between a local university repository and an international bibliographic service2020Ingår i: Journal of Documentation, ISSN 0022-0418, E-ISSN 1758-7379, Vol. 76, nr 6, s. 1193-1214Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Purpose – As the humanities develop in the realm of increasingly more pronounced digital scholarship, it isimportant to provide quality subject access to a vast range of heterogeneous information objects in digitalservices. The study aims to paint a representative picture of the current state of affairs of the use of subjectindex terms in humanities journal articles with particular reference to the well-established subject access needsof humanities researchers, with the purpose of identifying which improvements are needed in this context.

    Design/methodology/approach – The comparison of subject metadata on a sample of 649 peer-reviewedjournal articles from across the humanities is conducted in a university repository, against Scopus, the formerreflecting local and national policies and the latter being the most comprehensive international abstract andcitation database of research output.

    Findings – The study shows that established bibliographic objectives to ensure subject access for humanitiesjournal articles are not supported in either the world’s largest commercial abstract and citation databaseScopus or the local repository of a public university in Sweden. The indexing policies in the two services do notseem to address the needs of humanities scholars for highly granular subject index terms with appropriatefacets; no controlled vocabularies for any humanities discipline are used whatsoever.

    Originality/value – In all, not much has changed since 1990s when indexing for the humanities was shown tolag behind the sciences. The community of researchers and information professionals, today working togetheron digital humanities projects, as well as interdisciplinary research teams, should demand that their subjectaccess needs be fulfilled, especially in commercial services like Scopus and discovery services.

    Ladda ner fulltext (pdf)
    fulltext
  • 37.
    Ozturkcan, Selcen
    Linnéuniversitetet, Ekonomihögskolan (FEH), Institutionen för marknadsföring (MF).
    The deadly gamification challenge of #BlueWhale2020Ingår i: Presented at 8th EAI International Conference on ArtsIT, Interactivity and Game Creation, ArtsIT 2019, and the 4th EAI International Conference on Design, Learning, and Innovation, DLI 2019; Aalborg; Denmark; 6-8 November 2019 / [ed] Brooks A., Brooks E.I., Springer, 2020, s. 785-787Konferensbidrag (Refereegranskat)
    Abstract [en]

    This manuscript reviews the past literature on the Blue Whale Challenge, which is known to be a dangerous gamification activity that spreads on social media to target vulnerable teenagers. It aims to nurture workshop discussion for collaborative future research directions on the matter.

    Ladda ner fulltext (pdf)
    fulltext
  • 38.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    The War Years: Distant Reading British Parliamentary Debates2020Ingår i: Doing Digital Humanities: Concepts, Approaches, Cases / [ed] Joacim Hansson, Jonas Svensson, Växjö: Linnaeus University Press, 2020, s. 169-199Kapitel i bok, del av antologi (Övrig (populärvetenskap, debatt, mm))
  • 39.
    Skeppstedt, Maria
    et al.
    The Institute for Language and Folklore, Sweden.
    Ahltorp, Magnus
    The Institute for Language and Folklore, Sweden.
    Kucher, Kostiantyn
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Rzepka, Rafal
    Hokkaido University, Japan;RIKEN Center for Advanced Intelligence Project (AIP), Japan.
    Araki, Kenji
    Hokkaido University, Japan.
    Topic modelling applied to a second language: A language adaption and tool evaluation study2020Ingår i: Selected Papers from the CLARIN Annual Conference 2019 / [ed] Kiril Simov and Maria Eskevich, Linköping University Electronic Press, 2020, s. 145-156, artikel-id 17Konferensbidrag (Refereegranskat)
    Abstract [en]

    The Topics2Themes tool, which enables text analysis on the output of topic modelling, was originally developed for the English language. In this study, we explored and evaluated adaptations required for applying the tool to Japanese texts. That is, we adapted Topics2Themes to a language that is very different from the one for which the tool was originally developed. To apply Topics2Themes to Japanese texts, in which white space is not used for indicating word boundaries, the texts had to be pre-tokenised and white space inserted to indicate a token segmentation. Topics2Themes was also extended by the addition of word translations and phonetic readings to support users who are second-language speakers of Japanese. To evaluate the adaptation to a second language, as well as the reading support, we applied the tool to a corpus consisting of short Japanese texts. Twelve different topics were automatically identified, and a total of 183 texts representative for the twelve topics were extracted. A learner of Japanese carried out a manual analysis of these representative texts, and identified 35 reoccurring, fine-grained themes.

  • 40.
    Lundberg, Jonas
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Laitinen, Mikko
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). University of Eastern Finland, Finland.
    Twitter trolls: A linguistic profile of anti-democratic discourse2020Ingår i: Language sciences (Oxford), ISSN 0388-0001, E-ISSN 1873-5746, Vol. 79, s. 1-14, artikel-id 101268Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This article focuses on anti-democratic discourse and investigates the linguistic profile of Twitter trolls. The troll data consist of some 3.5 million messages in English obtained through Twitter in late 2018. These data originate from potentially state-backed information operations aimed at sowing discord in Western societies. The baseline data, against which the troll data are compared, contain circa 4.4 million messages in English drawn from the Nordic Tweet Stream corpus. A machine learning application that enables us to select genuine personal messages in this corpus is used to prune the data. The empirical part investigates frequency-based characteristics of the two datasets. We utilize a set of automatically-extracted word-list information and the observed frequencies of personal pronouns. Our empirical findings show considerable quantitative differences so that the troll data are shorter, make use of a smaller number of lexical types and tokens, and resemble more formal registers, while the personal messages are more spoken-like. The results could be used to improve automated detection systems whose purpose is to identify troll accounts.

    Ladda ner fulltext (pdf)
    fulltext
  • 41.
    Ozturkcan, Selcen
    et al.
    Linnéuniversitetet, Ekonomihögskolan (FEH), Institutionen för marknadsföring (MF).
    Kasap, Nihat
    Sabanci University, Turkey.
    Tanaltay, Altug
    Sabanci University, Turkey.
    Özdinc, Mesut
    Mimar Sinan FA University, Turkey.
    Analysis of tweets about football: 2013 and 2018 leagues in Turkey2019Ingår i: Behavior and Information Technology, ISSN 0144-929X, E-ISSN 1362-3001, Vol. 38, nr 9, s. 887-899Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Football has recently developed into a unique sector with complex management and marketing functions, where novel communication technologies are employed. In this paper, we aim to contribute to the numerous fields involving emerging European sports marketing literature, social media analytics, and digital consumer behaviour. Our purpose is to explore Twitter use related with football by analysing real-time streamed data in offering a longitudinal perspective by focusing on 2013 and 2018 leagues in Turkey via the use of social media analytics framework. Retrieved dataset involved randomly selected publicly available 370 thousand and 6.8 million real-time tweets in 2013 and 2018 leagues, respectively. We report that majority of tweets about the football was posted within the three-hour window before the match independent of the match result and the importance of the result. Moreover, pre-match tweeting volume was almost a crystal ball signalling match winning. Our findings are valuable for sports managers and marketers where some key suggestions provided are to involve particular contexts of winning or losing in their after-match marketing plans, to value weekdays as much as the weekends, and to utilise the after-work prime time of social media engagement.

    Ladda ner fulltext (pdf)
    fulltext
  • 42.
    Skeppstedt, Maria
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). The Institute for Language and Folklore, Sweden;Hokkaido University, Japan.
    Ahltorp, Magnus
    The Institute for Language and Folklore, Sweden.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Rzepka, Rafal
    Hokkaido University, Japan;RIKEN Center for Advanced Intelligence Project (AIP), Japan.
    Araki, Kenji
    Hokkaido University, Japan.
    Application of a topic model visualisation tool to a second language2019Ingår i: CLARIN 2019 Book of absracts, CLARIN, Common Language Resources and Technology Infrastructure , 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    We explored adaptions required for applying a topic modelling tool to a language that is very different from the one for which the tool was originally developed. The tool, which enables text analysis on the output of topic modelling, was developed for English, and we here applied it on Japanese texts. As white space is not used for indicating word boundaries in Japanese, the texts had to be pre-tokenised and white space inserted to indicate a token segmentation, before the texts could be imported into the tool. The tool was also extended by the addition of word translations and phonetic readings to support users who are second-language speakers of Japanese.

    Ladda ner fulltext (pdf)
    fulltext
  • 43.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hagelbäck, Johan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ardö, Anders
    Automatic classification Using DDC on the Swedish Union Catalogue2019Ingår i: European DDC Users Group, EDUG, Annual Meeting 9-10 May 2019: National Library of Sweden, Stockholm, Sweden, 2019Konferensbidrag (Övrigt vetenskapligt)
  • 44.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hagelbäck, Johan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ardö, Anders
    Automatic subject classification of Swedish DDC: Impact of tuning and training data set2019Ingår i: 19th European NKOS Workshop, 23rd TPDL: Oslo, 12 September 2019, Networked Knowledge Organization Systems/Services/Structures, NKOS , 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    The presentation builds on the NKOS 2018 presentation of automatically produced Dewey Decimal Classification (DDC) classes for Swedish union catalogue (LIBRIS). Based on a dataset of 143,838 records, Support Vector Machine with linear kernel outperforms Multinomial Naïve Bayes algorithm. Impact of features shows that using keywords or combining titles and keywords gives better results than using only titles as input. Stemming only marginally improves the results. Removed stop-words reduced accuracy in most cases, while removing less frequent words increased it marginally. Word embeddings combined with different types of neural networks (Simple linear network, Standard neural network, 1D convolutional neural network, Recurrent neural network) produced worse results than Naïve Bayes /Support Vector Machine, but reach close results. The greatest impact is produced by the number of training examples: 81.37% accuracy on the training set is achieved when at least 1,000 records per class are available, and 66.13% when few records on which to train are available.

  • 45.
    Laitinen, Mikko
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Levin, Magnus
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Lakaw, Alexander
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Charting New Sources of elf Data: A Multi-Genre Corpus Approach2019Ingår i: From Data to Evidence in English Language Research / [ed] Carla Suhr, Terttu Nevalainen, Irma Taavitsainen, Leiden: Brill Academic Publishers, 2019, s. 326-350Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    The article discusses research that charts new lingua franca English data and broadensthe scope of written elf corpora. We illustrate that, apart from the academic domain,there exist various written genres in non-native contexts in which English is used as asecond language resource alongside native languages. These uncharted data can provideus with new ways of approaching the ongoing globalization of English. The newapproach incorporates a broader perspective on elf than previously, seeing it as onestage in the long diachronic continuum of Englishes rather than as an entity emergingin interaction. The first part details a corpus project that produces written multi-genrecorpora suitable for real-time studies of how ongoing variability is reflected in linguafranca use. It is followed by three case studies investigating quantitative patterns ofongoing change in elf. The conclusions suggest that a diachronically-informed angleto lingua franca use offers a new vantage point not only to elf but also to ongoinggrammatical variability. It shows that the traditional and canonized way of seeing nonnativespeakers/writers is not sufficient, nor is the simplified view of norm dependency of non-native individuals.

  • 46.
    Ozturkcan, Selcen
    et al.
    Linnéuniversitetet, Ekonomihögskolan (FEH), Institutionen för marknadsföring (MF).
    Kasap, Nihat
    Sabanci University, Turkey.
    Ozdinc, Mesut
    Åbo Akademi University, Finland.
    Tanaltay, Altug
    Sabanci University, Turkey.
    Digital national currency: example of Sweden and e-Krona2019Ingår i: Paper presented at the 2nd International Conference on Digital Innovation, Entrepreneurship and Financing, Valencia, Spain, December 2-3, 2019, Valencia, Spain, 2019, s. 1-7Konferensbidrag (Refereegranskat)
    Abstract [en]

    Financial Institutions all around the world are recently discussing possibilities to launch national digital currencies to replace the cash as we know it since the Lydians invention. In this paper, we review the concept by visiting the core definitions and focus on the Scandinavian market to understand the example of Sweden and the ongoing e-Krona project. We conclude by pointing out some research questions and call upon developing future collaborative research.

    Ladda ner fulltext (pdf)
    fulltext
  • 47.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Kinship References in the British Parliament, 1800-20052019Ingår i: Reference and Identify in Public Discourses / [ed] Ursula Lutzky, Minna Nevala, Amsterdam: John Benjamins Publishing Company, 2019, s. 97-124Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Family and kinship are fundamental concepts of human society and of political governance. Proceeding from the notion that frequency of reference can be taken as a simple measure of visibility and representation, this study examines diachronic trends of kinship reference in British parliamentary debates from 1800 to 2005. Using the Hansard Corpus and pattern-driven corpus linguistic methods, I show that changes in the frequencies of reference to kin reflect societal attitudes to gender roles.

  • 48.
    Hiltunen, Turo
    et al.
    University of Helsinki, Finland.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Manual to the LMEMT corpus2019Ingår i: Late Modern English Medical Texts: Writing medicine in the eighteenth century / [ed] Irma Taavitsainen, Turo Hiltunen, Amsterdam: John Benjamins Publishing Company, 2019, s. 337-358Kapitel i bok, del av antologi (Övrigt vetenskapligt)
  • 49.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Ahlström, Ida
    Linnéuniversitetet, Universitetsbiblioteket.
    Hansson, Joacim
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Subject metadata for humanities journal articles: Indexing consistency between a local repository and an external bibliographic database2019Ingår i: Presented at DCMI 2019: Metadata Innovation. Seoul, South Korea - September 23rd-26th, 2019, Dublin Core Metadata Initiative , 2019Konferensbidrag (Refereegranskat)
    Ladda ner (pdf)
    presentation
  • 50.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Surgical and anatomical texts2019Ingår i: Late Modern English Medical Texts: Writing Medicine in the Eighteenth Century / [ed] Irma Taavitsainen, Turo Hiltunen, Amsterdam: John Benjamins Publishing Company, 2019, s. 299-306Kapitel i bok, del av antologi (Refereegranskat)
12 1 - 50 av 77
RefereraExporteraLänk till träfflistan
Permanent länk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf