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Reflections of Social Support on Twitter: The Case of the Soma Mine Disaster in Turkey
Linnaeus University, School of Business and Economics, Department of Marketing and Tourism Studies (MTS).ORCID iD: 0000-0003-2248-0802
Sabancı University, Türkiye.ORCID iD: 0000-0001-5435-6633
Sabancı University, Türkiye.
Sabancı University, Türkiye.
2023 (English)In: Digitalisation: Opportunities and Challenges for Business. ICBT 2022 / [ed] Alareeni, B., Hamdan, A., Khamis, R., Khoury, R.E., Cham: Springer, 2023, Vol. 621, p. 79-88Conference paper, Published paper (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]

Tweets posted during the Soma mine disaster that took place in Turkey provide a better understanding of the potential that social networks have for social support. The social media analytics framework and the text categorization methodology using CovNets were used to analyze 6.3 million tweets containing the keyword “soma” posted between 13 May 2014 and 23 March 2015 in Turkish. According to the findings, people used Twitter more after hearing about the terrible and tragic event. In reaction to the demand for a public day of mourning, Twitter was used to express grief and outrage. Twitter usage has expanded in unison with the involvement of charity and assistance organizations. Regardless, none of the support efforts posted on Twitter garnered widespread public participation. The results, on the other hand, showed that deep learning could accurately predict if a tweet would garner a substantial number of retweets. The findings could be beneficial for people interested in how social support organizations and policymakers use Twitter to keep the public informed during significant disasters.

Place, publisher, year, edition, pages
Cham: Springer, 2023. Vol. 621, p. 79-88
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 621
Keywords [en]
Soma Mine Disaster, Twitter, Tweet, Social Media Analysis, Social Support, deep learning, big data
National Category
Computer Sciences Information Systems, Social aspects Business Administration Human Computer Interaction
Research subject
Computer and Information Sciences Computer Science, Computer Science; Economy, Business administration
Identifiers
URN: urn:nbn:se:lnu:diva-119981DOI: 10.1007/978-3-031-26956-1_8Scopus ID: 2-s2.0-85152527147ISBN: 9783031269554 (print)ISBN: 9783031269561 (electronic)OAI: oai:DiVA.org:lnu-119981DiVA, id: diva2:1746290
Conference
International Conference on Business and Technology, ICBT 2022, Manama, Bahrain, 23-24 March 2022
Available from: 2023-03-28 Created: 2023-03-28 Last updated: 2024-10-23Bibliographically approved

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Ozturkcan, Selcen

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