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Twitter Reflections on Syrian Conflict from Turkey
Linnaeus University, School of Business and Economics, Department of Marketing. Emlyon School of Business, France;Sabancı Business School, Turkey. (DISA ; DISA-IDP)ORCID iD: 0000-0003-2248-0802
Sabancı University, Turkey.
Sabancı University, Turkey.
Sabancı University, Turkey.
2022 (English)In: Financial Technology (FinTech), Entrepreneurship, and Business Development. ICBT 2021 / [ed] Bahaaeddin Alareeni;Allam Hamdan, Springer, 2022, p. 833-857Chapter in book (Refereed)
Sustainable development
SDG 16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Abstract [en]

The Syrian conflict is a well-known regional conflict, where Turkey is among the most affected countries in political, social, and economic terms. This study explores the Turkish public reflections on the Syria conflict by analyzing 450,000 Tweets posted in the Turkish language between Feb 1, 2015, and Feb 27, 2016. This chapter contributes to the literature by providing a broader perspective with the main research questions of: (1) What are the widely discussed topics on Twitter about Syria by the Turkish users? (2) Were these topics attracting more users to Twitter or encouraging the further engagement of the already existing users? (3) How can the fading-out characteristics of the most popular topics be described? (4) Why - under which conditions and with which features - Tweets about Syria end up extensively re-Tweeted by Turkish users? The authors report a predictive model of 86.12% accuracy to classify high and low Tweets based on the number of re-Tweets received via seven features. The analysis reveals that armed fighting, religious, and political sensitivities within the Turkish public inflate the volume of posted Tweets.

Place, publisher, year, edition, pages
Springer, 2022. p. 833-857
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 486
Keywords [en]
Twitter Usage, Turkey, Syrian Conflict, Big Data, Classification, Clustering
National Category
Economics and Business
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-107576DOI: 10.1007/978-3-031-08087-6_58Scopus ID: 2-s2.0-85135033699ISBN: 9783031080869 (print)ISBN: 9783031080876 (electronic)OAI: oai:DiVA.org:lnu-107576DiVA, id: diva2:1604262
Available from: 2021-10-19 Created: 2021-10-19 Last updated: 2023-05-02Bibliographically approved

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Ozturkcan, Selcen

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CiteExportLink to record
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Citation style
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Output format
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