THE ROLE OF SOCIAL MEDIA ALGORITHMS IN SHAPING AND CONFLICT RESOLUTION

Rido Dominggus Latuheru
Communication Studies Program FISIP Indonesian Christian University Maluku
Indonesia
Hafied Cangara
Department of Communication Studies, Faculty of Social and Political Sciences, Hasanuddin University.
Indonesia

Abstract

This research aims to explore the dual role of social media algorithms in conflict formation and resolution. Using a systematic literature review method, this research analyses how algorithms can amplify polarization and spread misinformation, as well as their potential to be leveraged in mitigating conflict and promoting constructive dialogue. The results show that algorithms designed to maximise user engagement often contribute to conflict escalation through the formation of "filter bubbles" and the spread of misinformation. However, recent research has also revealed the potential of algorithms, if designed with ethical and social principles in mind, to be instrumental in early conflict detection and the promotion of dialogue across groups. This study highlights the implications of these findings for technology companies, policymakers, and civil society, and emphasises the need for an interdisciplinary approach, proactive regulation, and increased digital literacy in addressing algorithm challenges. In conclusion, social media algorithms are flexible tools, and their impact depends on the values, principles, and goals embedded in their design. A holistic and collaborative approach is needed to harness the potential of algorithms in mitigating conflict while minimising their role in deepening social divisions.

Keywords
social media algorithms; conflict resolution; polarisation; misinformation; algorithm ethics
References

Boell, S. K., & Cecez-Kecmanovic, D. (2014). A Hermeneutic Approach for Conducting Literature Reviews and Literature Searches. Communications of the Association for Information Systems, 34. https://doi.org/10.17705/1CAIS.03412

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Bucher, T. (2012). Want to be on the top? Algorithmic power and the threat of invisibility on Facebook. New Media & Society, 14(7), 1164–1180. https://doi.org/10.1177/1461444812440159

Bucher, T. (2018). If...Then: Algorithmic Power and Politics (Vol. 1). Oxford University Press. https://doi.org/10.1093/oso/9780190493028.001.0001

Chadefaux, T. (2012). Early Warning Signals for War in the News. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2197324

Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms. MIT press.

DeVito, M. A. (2017). From Editors to Algorithms: A values-based approach to understanding story selection in the Facebook news feed. Digital Journalism, 5(6), 753–773. https://doi.org/10.1080/21670811.2016.1178592

Elson, S. B., Khanabdali, R., Jain, S., & Shanthakumar, S. K. (2020). Conflict resolution using social media analytics. In Social Networking and Computational Intelligence (pp. 405–427). Springer.

Eslami, M., Rickman, A., Vaccaro, K., Aleyasen, A., Vuong, A., Karahalios, K., Hamilton, K., & Sandvig, C. (2015). “I always assumed that I wasn’t really that close to [her].” Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 153–162. https://doi.org/10.1145/2702123.2702556

Firchow, P., Martin-Shields, C., Omer, A., & Ginty, R. Mac. (2016). PeaceTech: The Liminal Spaces of Digital Technology in Peacebuilding. International Studies Perspectives, ekw007. https://doi.org/10.1093/isp/ekw007

Garimella, K., De Francisci Morales, G., Gionis, A., & Mathioudakis, M. (2018). Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship. The 2018 World Wide Web Conference, 913–922.

Gillespie, T. (2014). The relevance of algorithms. In Media Technologies: Essays on Communication, Materiality, and Society (pp. 167–194). MIT Press.

Guess, A., Nagler, J., & Tucker, J. (2019). Less than you think: Prevalence and predictors of fake news dissemination on Facebook. Science Advances, 5(1). https://doi.org/10.1126/sciadv.aau4586

Hirblinger, A. T. (2020). Digital inclusion in peacemaking: A strategic perspective. Journal of Peacebuilding & Development, 15(2), 194–209.

Knuth, D. E. (1997). The art of computer programming. Pearson Education.

Leetaru, K. (2019). Social media algorithms and conflict resolution: Opportunities and challenges. In Digital Transformation of Society and Culture in the Information Age (pp. 167–182). Routledge.

Levitin, A. (2012). Introduction to the design & analysis of algorithms. Pearson Education.

Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations. Scientometrics, 126(1), 871–906. https://doi.org/10.1007/s11192-020-03690-4

Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2010). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. International Journal of Surgery, 8(5), 336–341. https://doi.org/10.1016/j.ijsu.2010.02.007

Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.

Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis. International Journal of Qualitative Methods, 16(1), 160940691773384. https://doi.org/10.1177/1609406917733847

O’Neil, C. (2016). Weapons of maths destruction: How big data increases inequality and threatens democracy. Broadway Books.

Pariser, E. (2011). The filter bubble: What the Internet is hiding from you . Penguin UK.

Pasquale, F. (2015). The black box society: The secret algorithms that control money and information. Harvard University Press.

Sandvig, C., Hamilton, K., Karahalios, K., & Langbort, C. (2014). Auditing Algorithms : Research Methods for Detecting Discrimination on Internet Platforms. The 64th Annual Meeting of the International Communication Association.

Saunders, B., Sim, J., Kingstone, T., Baker, S., Waterfield, J., Bartlam, B., Burroughs, H., & Jinks, C. (2018). Saturation in qualitative research: exploring its conceptualization and operationalization. Quality & Quantity, 52(4), 1893–1907. https://doi.org/10.1007/s11135-017-0574-8

Sedgewick, R., & Wayne, K. (2011). Algorithms. Addison-wesley professional.

Skiena, S. S. (2008). The algorithm design manual. Springer Science & Business Media.

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Ullmann, S., & Tomalin, M. (2020). Quarantining online hate speech: technical and ethical perspectives. Ethics and Information Technology, 22(1), 69–80. https://doi.org/10.1007/s10676-019-09516-z

Van Dijck, J., & Poell, T. (2013). Understanding Social Media Logic. Media and Communication, 1(1), 2–14. https://doi.org/10.17645/mac.v1i1.70

Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/science.aap9559

Information
PDF
402 times PDF : 189 times