Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arai, K.: How to transmit disaster information effectively: a linguistic perspective on Japan’s tsunami warnings and evacuation instructions. Int. J. Disaster Risk Sci. 4(3), 150–158 (2013)
Bahir, E., Peled, A.: Real-time major events monitoring and alert system through social networks. J. Contingencies Crisis Manage. 23(4), 210–220 (2015)
Bautista, J.R., Lin, T.T.C.: Tweeting social support messages after a non-celebrity’s death: the case of the Philippines’ #Fallen44. Cyberpsychol. Behav. Soc. Netw. 18(11), 641–646 (2015)
Brockie, L., Miller, E.: Older adults’ disaster lifecycle experience of the 2011 and 2013 Queensland floods. Int. J. Disaster Risk Reduction 22, 21–218 (2016). https://doi.org/10.1016/j.ijdrr.2016.08.001
Butler, D.: . (17 May 2014). In: Williams, A. (ed.) Turkish mine disaster town under lockdown as death toll rises to 301. Reuters. Retrieved from: http://www.reuters.com/article/us-turkey-mine-idUSBREA4C0KO20140518. Retrieved 17 Apr 2017
Corley, C.D., Farber, R.M., Reynolds, W.N.: Thought leaders during crises in massive social networks. Stat. Anal. Data Min. 5, 205–217 (2012)
Fan, W., Gordon, M.D.: The power of social media analytics. Commun. ACM 57(6), 74–81 (2014). https://doi.org/10.1145/2602574
Helsloot, I., Groenendaal, J.: Twitter: an underutilized potential during sudden crises. J. Contingencies Crisis Manage. 21(3), 178–183 (2013)
Houston, J.B., et al.: Social media and disasters: a functional framework for social media use in disaster planning, response, and research. Disasters 39(1), 1–22 (2015)
Inoue, Y., Havard, C.T.: Sport and disaster relief: a content analysis. Disaster Prev. Manag. 24(3), 355–368 (2015)
Jacobs, A.: The pathologies of big data. Commun. ACM 52(8), 36–44 (2009). https://doi.org/10.1145/1536616.1536632
Jung, J.Y., Moro, M.: Multi-level functionality of social media in the aftermath of the Great East Japan Earthquake. Disasters 38(2), 123–143 (2014)
Kim, Y.: Convolutional Neural Networks for Sentence Classification. Paper presented at the Conference on Empirical Methods in Natural Language Processing, Doha, Qatar (2014)
Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Paper presented at the 25th International Conference on Neural Information Processing Systems, Lake Tahoe, NV – USA (2012)
Szymczak, H., Kucukbalaban, P., Lemanski, S., Knuth, D., Schmidt, S.: Trusting facebook in crisis situations: the role of general use and general trust toward facebook. Cyberpsychol. Behav. Soc. Netw. 19(1), 23–27 (2016)
Uribe, R., Hidalgo, P., Martinez, C.: Developing campaigns in the context of a disaster. Disaster Prev. Manag. 24(1), 100–114 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ozturkcan, S., Kasap, N., Arın, İ., Saygın, Y. (2023). Reflections of Social Support on Twitter: The Case of the Soma Mine Disaster in Turkey. In: Alareeni, B., Hamdan, A., Khamis, R., Khoury, R.E. (eds) Digitalisation: Opportunities and Challenges for Business. ICBT 2022. Lecture Notes in Networks and Systems, vol 621. Springer, Cham. https://doi.org/10.1007/978-3-031-26956-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-031-26956-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-26955-4
Online ISBN: 978-3-031-26956-1
eBook Packages: EngineeringEngineering (R0)