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Bir Etki Ajanı Olarak Twitter: Rusya-Ukrayna Savaşında Twitter Botları

Year 2024, Volume: 20 Issue: 47, 99 - 122, 26.04.2024
https://doi.org/10.17752/guvenlikstrtj.1396705

Abstract

Rusya’nın 24 Şubat 2022’de başlattığı saldırıdan bu yana dünya Ukrayna’da bir savaşa tanıklık ediyor. Bu savaşta Rusya’nın sadece askerlerini konuşlandırmakla kalmadığını, aynı zamanda Twitter botlarını da devreye soktuğuna tanıklık etmekteyiz. Rusya-Ukrayna savaşı bu açıdan hem geleneksel hem de sosyal medya gibi geleneksel olmayan alanlarda süregelmektedir. Bu bağlamda, çalışmamız savaşın ilk 8 gününde botların Rusya tarafından ne ölçüde kullanıldığını anlamayı amaçlamaktadır. Bu amaçla 24 Şubat ile 4 Mart tarihleri arasında Twitter’dan veri toplanmıştır. Veriler toplandıktan sonra, elde edilen tweetler için bir bot tahmini gerçekleştirilmiştir. Bulgular, Twitter’ın botlara oldukça hızlı tepki verdiğini ve Rusya’nın Rus Twitter atmosferini eskisi kadar istismar edemediğini göstermektedir. Bu açıdan düşünüldüğünde Rusya’nın Twitter’ı neden engellemeyi seçtiği daha iyi anlaşılmaktadır.

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Social Media as an Agent of Influence: Twitter Bots in Russia - Ukraine War

Year 2024, Volume: 20 Issue: 47, 99 - 122, 26.04.2024
https://doi.org/10.17752/guvenlikstrtj.1396705

Abstract

The world has been witnessing a war in Ukraine since Russia started its attacks on 24 February 2022. At this point, Russia has not only deployed its troops but also put its Twitter bots to work. The war has both covered conventional spaces and unconventional spaces like social media. In this regard, our study aims to understand to what extent bots were used by Russia during the first eight days of the war. To this end, we collect data between the 24th of February and the 4th of March. On data collection, we carry out a bot prediction for collected tweets. Findings suggest that Twitter reacted to bots quite quickly and that Russia could not manage to exploit the Russian Twitter sphere as much as it did before. Therefore, Russia chose to block Twitter.

References

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  • ATABEK Ümit (2020). “Twitterda Yerel Siyasal İletişim: Türkiye’de İki Farklı Tarz”, Galatasaray Üniversitesi İletişim Dergisi, 33, 32-54.
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  • BARRIE Christopher and JUSTIN Ho (2021). “AcademictwitteR: An R Package to Access the Twitter Academic Research Product Track v2 API Endpoint”, Journal of Open Source Software, 6:62, 3272.
  • BASTOS Marco T. and MERCEA Dan (2017). “The Brexit Botnet and User-Generated Hyperpartisan News”, Social Science Computer Review, 37:1, 38-54.
  • BESSI Alessandro and FERRARA Emilio (2016). “Social Bots Distort the 2016 US Presidential Election Online Discussion”, First Monday, 21:11.
  • BLANK Stephen (2013). “Russian Information Warfare as Domestic Counterinsurgency”, American Foreign Policy Interests, 35:1, 31-44.
  • BRADSHAW Samantha and HOWARD Philip N. (2018). “The Global Organization of Social Media Disinformation Campaigns.” Journal of International Affairs, 71:1.5, 23-32.
  • BRONIATOWSKI David A. JAMISON Amelia M. SIHUA Qi ALKULAIB Lulwah TAO Chen, BENTON Adrian QUINN Sandra C. and DREDZE Mark (2018). “Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate”, American Journal of Public Health, 108:10, 1378-1384.
  • CALDARELLI Guido DE NICOLA Rocco VIGNA Fabio Del PETROCCHI Marinella and SARACCO Fabio (2020). “The Role of Bot Squads in the Political Propaganda on Twitter”, Communications Physics, 3:1, 1-15.
  • CAM Handan CAM Alper Veli DEMIREL Ugur and SANA Ahmed (2024). “Sentiment Analysis of Financial Twitter Posts on Twitter with the Machine Learning Classifiers”, Heliyon, 10:1, e23784.
  • CHAVOSHI Nikan HAMOONI Hossein and MUEEN Abdullah (2016). “Identifying Correlated Bots in Twitter”, Emma Spiro & Yong-Yeol Ahn (eds.), Social Informatics, Springer International Publishing, Cham, 14-21.
  • CHOWDHURY Farhan Asif LAWRENCE Allen YOUSUF Mohammad and MUEEN Abdullah (2020). “On Twitter Purge: A Retrospective Analysis of Suspended Users",In Companion Proceedings of the Web Conference, Taipei Taiwan, 371-378.
  • CHU Zi, GIANVECCHIO Steven, WANG Haining and JAJODIA Sushil (2010). “Who Is Tweeting on Twitter: Human, Bot, or Cyborg?”, In Proceedings of the 26th Annual Computer Security Applications Conference on - ACSAC. Austin, Texas: ACM Press.
  • CORNELISSEN Laurenz A., BARNETT Richard J., SCHOONWINKEL Petrus, EICHSTADT Brent D. and MAGODLA Hluma B. (2018). “A Network Topology Approach to Bot Classification”, In Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, Port Elizabeth South Africa, 79-88.
  • CRESCI Stefano LILLO Fabrizio REGOLI Daniele TARDELLI Serena and TESCONI Maurizio (2019). “Cashtag Piggybacking: Uncovering Spam and Bot Activity in Stock Microblogs on Twitter”, ACM Transactions on the Web, 13:2, 1-27.
  • CRESCI Stefano DI PIETRO Roberto PETROCCHI Marinella SPOGNARDI Angelo and TESCONI Maurizio (2015). “Fame for Sale: Efficient Detection of Fake Twitter Followers.” Decision Support Systems, 80, 56-71.
  • CSARDI Gabor and NEPUSZ Tamas (2006). “The Igraph Software Package for Complex Network Research”, InterJournal Complex Systems,1695-1704.
  • DAVIS Clayton Allen VAROL Onur FERRARA Emilio FLAMMINI Alessandro and MENCZER Filippo (2016). “BotOrNot: A System to Evaluate Social Bots.” In Proceedings of the 25th International Conference Companion on World Wide Web, Montreal: Canada, 273-274.
  • DICKERSON John P., KAGAN Vadim and SUBRAHMANIAN V.S. (2014). “Using Sentiment to Detect Bots on Twitter: Are Humans More Opinionated than Bots?” In 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 620-627.
  • EFTHIMION Phillip George PAYNE Scott and PROFERES Nicholas (2018). “Supervised Machine Learning Bot Detection Techniques to Identify Social Twitter Bots”, SMU Data Science Review, 1:2, 1-70.
  • FERRARA Emilio VAROL Onur DAVIS Clayton MENCZER Filippo and FLAMMINI Alessandro (2016). “The Rise of Social Bots”, Communications of the ACM, 59:7, 96-104.
  • GILANI Zafar, KOCHMAR Ekaterina and CROWCROFT Jon (2017). “Classification of Twitter Accounts into Automated Agents and Human Users.” In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Sydney Australia, 489-496.
  • GOLOVCHENKO Yevgeniy HARTMANN Mareike and ADLER-NISSEN Rebecca (2018). “State, Media and Civil Society in the Information Warfare over Ukraine: Citizen Curators of Digital Disinformation”, International Affairs, 94:5, 975-994.
  • GORODNICHENKO Yuriy PHAM Tho and TALAVERA Oleksandr (2021). “Social Media, Sentiment and Public Opinions: Evidence from #Brexit and #USElection”, European Economic Review, 136, 103772.
  • GUESS Andrew M. and LYONS Benjamin A. (2020). “Misinformation, Disinformation, and Online Propaganda”, Nathaniel Persily & Joshua A. Tucker (eds.), Social Media and Democracy: The State of the Field, Prospects for Reform (1st ed.), Cambridge University Press, Cambridge, 10-33.
  • HEGELICH Simon and JANETZKO Dietmar (2016). “Are Social Bots on Twitter Political Actors? Empirical Evidence from a Ukrainian Social Botnet”, Proceedings of the International AAAI Conference on Web and Social Media, 10:1, 579-582.
  • HEIDARI Maryam, JONES James H. and UZUNER Özlem (2020). “Deep Contextualized Word Embedding for Text-Based Online User Profiling to Detect Social Bots on Twitter”, In 2020 International Conference on Data Mining Workshops (ICDMW), Sorrento, Italy, 480-487.
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There are 83 citations in total.

Details

Primary Language English
Subjects Defence Studies, International Security
Journal Section Articles
Authors

Muhammed Hayati Taban 0000-0003-1785-9965

İsmail Gür 0000-0001-7014-4606

Publication Date April 26, 2024
Submission Date November 27, 2023
Acceptance Date January 31, 2024
Published in Issue Year 2024 Volume: 20 Issue: 47

Cite

Chicago Taban, Muhammed Hayati, and İsmail Gür. “Social Media As an Agent of Influence: Twitter Bots in Russia - Ukraine War”. Güvenlik Stratejileri Dergisi 20, no. 47 (April 2024): 99-122. https://doi.org/10.17752/guvenlikstrtj.1396705.