Abstract
Coordinated campaigns in the digital realm have become an increasingly important area of study due to their potential to cause political polarization and threats to security through real-world protests and riots. In this paper, we introduce a methodology to profile two case studies of coordinated actions in Indonesian Twitter discourse. Combining network and narrative analysis techniques, this six-step pipeline begins with DISCOVERY of coordinated actions through hashtag-hijacking; identifying WHO are involved through the extraction of discovered agents; framing of what these actors did (DID WHAT) in terms of information manipulation maneuvers; TO WHOM these actions were targeted through correlation analysis; understanding WHY through narrative analysis and description of IMPACT through analysis of the observed conversation polarization. We describe two case studies, one international and one regional, in the Indonesian Twittersphere. Through these case studies, we unearth two seemingly related coordinated activities, discovered by deviating hashtags that do not fit the discourse, characterize the coordinated group profile and interaction, and describe the impact of their activity on the online conversation.
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References
Al-khateeb S, Agarwal N: Examining botnet behaviors for propaganda dissemination: A case study of isil’s beheading videos-based propaganda. In: 2015 IEEE international conference on data mining workshop (ICDMW), pp. 51–57 (2015). https://doi.org/10.1109/ICDMW.2015.41
Alaphilippe A: Adding a ’D’ to the ABC disinformation framework. Brookings (2020). https://www.brookings.edu/techstream/adding-a-d-to-the-abc-disinformation-framework/
Alassad, M., Hussain, M.N., Agarwal, N.: Developing graph theoretic techniques to identify amplification and coordination activities of influential sets of users. In: international conference on social computing, behavioral-cultural modeling and prediction and behavior representation in modeling and simulation, pp. 192–201 (2020). Springer
Alizadeh M, Shapiro JN, Buntain C, Tucker JA (2020) Content-based features predict social media influence operations. Sci Adv 6(30):5824. https://doi.org/10.1126/sciadv.abb5824
Arif A, Stewart L, Starbird K (2018) Acting the part. Proc ACM Human-Comput Interact 2:1–27
Awan I: Cyber-extremism: Isis and the power of social media. Society 54(2): 138–149 (2017)
Beskow, D.M., Carley, K.M.: Bot-hunter: a tiered approach to detecting & characterizing automated activity on twitter. In: Conference Paper. SBP-BRiMS: international conference on social computing, behavioral-cultural modeling and prediction and behavior representation in modeling and simulation, vol. 3, p. 3 (2018)
Blane JT, Bellutta D, Carley KM (2022) Social-cyber maneuvers during the Covid-19 vaccine initial rollout: content analysis of tweets. J Med Internet Res 24(3):34040
Blazek S: SCOTCH: A framework for rapidly assessing influence operations (2021). https://www.atlanticcouncil.org/blogs/geotech-cues/scotch-a-framework-for-rapidly-assessing-influence-operations/
Bond RM, Fariss CJ, Jones JJ, Kramer ADI, Marlow C, Settle JE, Fowler JH (2012) A 61-million-person experiment in social influence and political mobilization. Nature 489(7415):295–298. https://doi.org/10.1038/nature11421
Carley KM (2020) Social cybersecurity: an emerging science. Comput Math Organ Theory 26(4):365–381. https://doi.org/10.1007/s10588-020-09322-9
Fealy G: Islamic radicalism in indonesia: The faltering revival? Southeast Asian Affairs, 104–121 (2004)
Hadgu AT, Garimella K, Weber I: Political hashtag hijacking in the US. In: proceedings of the 22nd international conference on world wide web, pp. 55–56 (2013)
Hadgu AT, Garimella K, Weber I: Political hashtag hijacking in the US. In: Proceedings of the 22nd international conference on world wide web. WWW ’13 Companion, pp. 55–56. Association for computing machinery, New York, USA (2013). https://doi.org/10.1145/2487788.2487809
Hong L, Convertino G, Chi EH: Language matters in twitter: a large scale study. In: ICWSM (2011)
Hui JY: Social media and the 2019 indonesian elections: Hoax takes the centre stage. Southeast Asian Affairs, 155–172 (2020)
Jackson SJ, Foucault Welles B (2015) Hijacking# mynypd: social media dissent and networked counterpublics. J Commun 65(6):932–952
Jungkunz S (2021) Political polarization during the Covid-19 pandemic. Frontiers Political Sci 3:6. https://doi.org/10.3389/fpos.2021.622512
Krackhardt D, Stern RN (1988) Informal networks and organizational crises: an experimental simulation. Social Psychol Quarter 1(2):123–140
Lamb K: West Papua: thousands take to streets after week of violence. Guardian news and media (2019). https://www.theguardian.com/world/2019/aug/26/west-papua-thousands-expected-at-fresh-protests-after-week-of-violence
Lee FL (2016) Impact of social media on opinion polarization in varying times. Commun Publ 1(1):56–71
Lipman V: The world’s most active twitter city? You Won’t Guess It. Forbes Magazine (2015). https://www.forbes.com/sites/victorlipman/2012/12/30/the-worlds-most-active-twitter-city-you-wont-guess-it/?sh=11f942bd55c6
Magelinski T, Ng L, Carley K (2022) A synchronized action framework for detection of coordination on social media. J Online Trust Saf 1(2). https://doi.org/10.54501/jots.v1i2.30
Menchik J: CO16294: Politics, plurality and inter-group relations in indonesia – strengthening tolerance in Indonesia. S. Rajaratnam School of International Studies (2021). https://www.rsis.edu.sg/rsis-publication/rsis/co16294-politics-plurality-and-inter-group-relations-in-indonesia-strengthening-tolerance-in-indonesia/#.YMO7zzZKhQI
Muthiariny D: Jokowi revokes policy on alcoholic drink investment. Tempo (2021)
News B: Capitol riots timeline: What happened on 6 Jan one year ago? BBC (2022). https://www.bbc.com/news/world-us-canada-56004916
Ng LHX, Carley KM (2021) Bot-based emotion behavior differences in images during Kashmir black day event. In: Thomson R, Hussain MN, Dancy C, Pyke A (eds) Soc Cult Behav Model. Springer, Cham, pp 184–194
Ng LHX, Carley KM (2022) Online coordination: methods and comparative case studies of coordinated groups across four events in the United States. In: Proceedings of the 14th ACM web science conference 2022 (WebSci '22). Association for Computing Machinery, New York, NY, USA, pp 12–21. https://doi.org/10.1145/3501247.3531542
Nimmo B: The breakout scale: measuring the impact of influence operations. Brookings Institution (2020). https://apo.org.au/node/308478
Nizzoli L, Tardelli S, Avvenuti M, Cresci S, Tesconi M (2021) Coordinated behavior on social media in 2019 UK general election. Proc Int AAAI Conf Web Soc Media 15(1):443–454
Nugroho J: How Gaza occupies Indonesia’s identity wars. Lowy Institute (2021). https://www.lowyinstitute.org/the-interpreter/how-gaza-occupies-indonesias-identity-wars
Nur J: Indonesia calls for international support to resolve Israel-Palestine crisis (2021). https://www.thejakartapost.com/news/2021/05/16/indonesia-calls-for-international-support-to-resolve-israel-palestine-crisis.html
Overbey LA, Ek B, Pinzhoffer K, Williams B: Using common enemy graphs to identify communities of coordinated social media activity. In: international conference on social computing, behavioral-cultural modeling and prediction and behavior representation in modeling and simulation, pp. 92–102 (2019). Springer
Praet S, Martens D, Van Aelst P (2021) Patterns of democracy? social network analysis of parliamentary twitter networks in 12 countries. Online Soc Network Media 24:100154. https://doi.org/10.1016/j.osnem.2021.100154
Sokolsky R, Rabasa A, Neu CR: The role of Southeast Asia in U.S. strategy toward China. RAND Corporation, Santa Monica, CA (2001). https://doi.org/10.7249/MR1170
Thompson R (2011) Radicalization and the use of social media. J Strategic Security 4(4):167–190. https://doi.org/10.5038/1944-0472.4.4.8
Thompson N: Islam and identity politics in Indonesia. The diplomat (2017). https://thediplomat.com/2017/11/islam-and-identity-politics-in-indonesia/
Traag VA, Waltman L, Eck N.JV: From louvain to leiden: guaranteeing well-connected communities. Sci Reports 9(1) (2019). https://doi.org/10.1038/s41598-019-41695-z
Uyheng J, Magelinski T, Villa-Cox R, Sowa C, Carley KM (2020) Interoperable pipelines for social cyber-security: assessing twitter information operations during nato trident juncture 2018. Comput Math Organ Theory 26(4):465–483. https://doi.org/10.1007/s10588-019-09298-1
Uyheng J, Ng LHX, Carley KM (2021) Active, aggressive, but to little avail: characterizing bot activity during the 2020 Singaporean elections. Comput Math Organ Theory. https://doi.org/10.1007/s10588-021-09332-1
VanDam C, Tan P-N: Detecting hashtag hijacking from twitter. In: proceedings of the 8th ACM conference on web science, pp. 370–371 (2016)
VanDam C, Tan P.-N: Detecting hashtag hijacking from twitter. In: proceedings of the 8th ACM conference on web science. WebSci ’16, pp. 370–371. Association for computing machinery, New York, USA (2016). https://doi.org/10.1145/2908131.2908179
Vargas L, Emami P, Traynor P: On the detection of disinformation campaign activity with network analysis. arXiv preprint arXiv:2005.13466 (2020)
Warburton E: Political polarization in south and southeast Asia: Old divisions, new dangers. Technical report, Carnegie Endowment for International Peace (2020). http://www.jstor.org/stable/resrep26920.8
Weber D, Falzon L: Temporal nuances of coordination networks. CoRR arXiv: abs/2107.02588 (2021)
Widianto S, Potkin F: Hashtags and Hong Kong protest tips: how indonesian students mobilised to stop new laws. Thomson Reuters (2019). https://www.reuters.com/article/uk-indonesia-politics-rights-internet/hashtags-and-hong-kong-protest-tips-how-indonesian-students-mobilised-to-stop-new-laws-idUKKBN1WC17J
Yoshida M, Sakaki T, Kobayashi T, Toriumi F (2021) Japanese conservative messages propagate to moderate users better than their liberal counterparts on twitter. Sci Rep 11(1):19224. https://doi.org/10.1038/s41598-021-98349-2
Zahrah F, Nurse JR, Goldsmith M: # isis vs# actioncountersterrorism: a computational analysis of extremist and counter-extremist twitter narratives. In: 2020 IEEE European symposium on security and privacy workshops (EuroS &PW), pp. 438–447 (2020). IEEE
Zhou C, Zhao Q, Lu W: Impact of repeated exposures on information spreading in social networks. Plos One 10(10) (2015). https://doi.org/10.1371/journal.pone.0140556
Acknowledgements
Adya Danaditya would like to thank Lembaga Pengelola Dana Pendidikan, the Indonesian government scholarship grantor that funded the author’s study at Carnegie Mellon University. The views and conclusions are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of any government or organization.
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All authors contributed to the conception of the study. Adya Danaditya performed the data collection, analysis and writing edits. Lynnette Hui Xian Ng contributed to the analysis and writing. All authors read and approved the final manuscript.
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Danaditya, A., Ng, L.H.X. & Carley, K.M. From curious hashtags to polarized effect: profiling coordinated actions in indonesian twitter discourse. Soc. Netw. Anal. Min. 12, 105 (2022). https://doi.org/10.1007/s13278-022-00936-2
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DOI: https://doi.org/10.1007/s13278-022-00936-2