Reflections of social support on Twitter: the case of the Soma mine disaster in Turkey

Ozturkcan, Selcen and Kasap, Nihat and Arın, İnanç and Saygın, Yücel (2023) Reflections of social support on Twitter: the case of the Soma mine disaster in Turkey. In: International Conference on Business and Technology, ICBT 2022, Manama

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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.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: Big data; Deep learning; Social media analysis; Social support; Soma mine disaster; Tweet; Twitter
Divisions: Sabancı Business School
Depositing User: Nihat Kasap
Date Deposited: 09 Aug 2023 11:03
Last Modified: 09 Aug 2023 11:03

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