Software Power as Soft Power. A Literature Review on Computational Propaganda Effects in Public Opinion and Political Process


Abstract


This article draws on a systematic literature review of recently-published material to investigate the state of the art of research into how social network profiles are being used to manipulate public opinion on political issues. The aim of this review is to discuss how the use of these profiles impacts on constructing consensus, authority, legitimacy and representativeness of politicians, parties, hegemonic and minority groups. In total, 369 articles were obtained following a bibliographic search on four different scientific citation indexing databases. Of those, 16 were considered relevant to the research question. In order to identify general trends and specific results, the pertinent papers were subjected to descriptive and critical analysis. Five main approaches were observed: A) Usage policies and platform neutrality; B) Definition, detection and description of the manipulation agents; C) Political role of agents on social networks; D) Attempted electoral predictions via social networks; and E) Network dynamics and strategies for disseminating information. In the conclusion, the results of the literature review are discussed.

DOI Code: 10.1285/i20356609v11i2p332

Keywords: Bots; manipulation; politics; public opinion; social media; systematic literature review

References


Abril E. P. (2016), “Unmasking Trolls: Political Discussion on Twitter during the Parliamentary Election in Catalonia”, Trípodos, 39: 53-69.

Ascher W. (1982), “Political forecasting: The missing link”, Journal of Forecasting, 1(3): 227-239.

Barbrook R. (2009), Futuros Imaginários: das Máquinas Pensantes à Aldeia Global. São Paulo: Peiropolis.

Ben-David A., A. Matamoros-Fernandéz (2016), “Hate speech and covert discrimination on social media: Monitoring the Facebook pages of extreme-right political parties in Spain”, International Journal of Communication, 10: 1167-1193.

Bessi A., E. Ferrara (2016), “Social bots distort the 2016 U.S. Presidential election online discussion” First Monday, 21(11).

Bolsover G., P. Howard (2017), “Computational Propaganda and Political Big Data: Moving Toward a More Critical Research Agenda”, Big Data, 5 (4): 273-276.

Bradshaw S., P. N. Howard (2017), “Troops, Trolls and Troublemakers: A Global Inventory of Organized Social Media Manipulation”. In: S. Woolley and P. N. Howard (eds). Working Paper 2017.12. Oxford, UK: Project on Computational Propaganda. comprop.oii.ox.ac.uk. 37pp.

Cerón-Guzmán J. A., E. León (2015), “Detecting Social Spammers in Colombia 2014 Presidential Election”. In: Lagunas O, Figueroa G. and O. Alcántara (eds.) Advances in Artificial Intelligence and Its Applications, 14th Mexican International Conference on Artificial Intelligence, MICAI 2015: Cuernavaca, Morelos, Mexico, October 25–31, 2015 Proceedings, Part II, Springer, Cham, pp. 121-141.

Dacombe R. (2017), “Systematic Reviews in Political Science: What Can the Approach Contribute to Political Research?”, Political Studies Review, 16(2): 148-157.

Davies D., Jindal-Snape D., Collier C. Digby R., Hay P., A. Howe (2013), “Creative learning environments in education—A systematic literature review”, Thinking Skills and Creativity, 8: 80-91.

Dayen D. (2017), “How twitter secretly benefits from bots and fake accounts”. The Intercept [online]. November 6th. Retrieved March 1st , 2018

(https://theintercept.com/2017/11/06/how-twitter-secretly-benefits-from-bots-and-fake-accounts/).

Facebook Newsroom (2017), Company info. Retrieved March 1st , 2018

(https://newsroom.fb.com/company-info/).

Ferrara E., Varol O., Davis C., Menczer F., A. Flammini (2016), “The rise of social bots”, Communications of the ACM, 59 (7 ): 96-104.

Ferrara E., Varol O., Davis C., Menczer F., A. Flammini (2017), “Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election”. First Monday, 22 (8).

Ford H., Dubois E., C. Puschmann (2016), “Keeping Ottawa honest - One tweet at a time? Politicians, Journalists, Wikipedians and Their Twitter Bots”. International Journal of Communication, 10: 4891–4914.

Gimenez C., E. M. Tachizawa (2012), “Extending sustainability to suppliers: a systematic literature review”, Supply Chain Management: An International Journal, 17(5): 531-543.

Ibrahim M., Abdillah O., Wicaksono A. F., M. Adriani (2015), “Buzzer Detection and Sentiment Analysis for Predicting Presidential Election Results in A Twitter Nation”. In: IEEE 15th International Conference on Data Mining Workshops, Atlantic City, pp.1348-1353.

Jin S. A., J. Phua (2014), “Following Celebrities’ Tweets About Brands: The Impact of Twitter-Based Electronic Word-of-Mouth on Consumers’ Source Credibility Perception, Buying Intention, and Social Identification With Celebrities”, Journal of Advertising, 43(2), 181–195

Knappenberger B. (2012), “We Are Legion: The Story of the Hacktivists”. Documentary Film, 93 min. Retrieved March 1st , 2018 (https://www.youtube.com/watch?v=-zwDhoXpk90&t=99s).

Kim A. E., Hansen H. M., Murphy J., Richards A. K., Duke J., J. A.

Allen (2013), “Methodological Considerations in Analyzing Twitter Data”, JNCI Monographs, 2013 (47): 140–146.

Kitchenham B., Brereton P., Budgen D., Turner M., Bailey J., S.

Linkman (2009), “Systematic literature reviews in software engineering—a systematic literature review”, Inf Softw Technol, 51(1): 7–15.

Mager A. (2012), “Algorithmic Ideology”, Information, Communication & Society, 15(5): 769–87.

Marechal N. (2016), “When Bots Tweet: Toward a Normative Framework for Bots on Social Networking Sites”, International Journal of Communication, 10: 522-531.

Molina B. (2017), “Twitter overcounted active users since 2014, shares surge on profit hopes”. USA Today [online]. Retrieved March 1st , 2018

(https://www.usatoday.com/story/tech/news/2017/10/26/twitter-overcounted-active-users-since-2014-shares-surge/801968001/).

Murthy D., Powell A. B., Tinati R., Anstead N., Carr L., S. Halford et al. (2016), “Bots and Political Influence: A Sociotechnical Investigation of Social Network Capital”, International Journal of Communication , 10, 4952-4971.

Mustafaraj E., P.T. Metaxas (2017), “The fake news spreading plague: was it preventable?”, Proceedings of the 2017 ACM on Web Science Conference (pp. 235-239). ACM.

Najafabadi M. K., M.N. Mahrin (2016), “A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedback”, Artificial Intelligence Review, 45(2): 167-201.

Nye J. (2012), “China's Soft Power Deficit”. The Wall Street Journal [online]. May 8. Retrieved March 1st , 2018

(https://www.wsj.com/articles/SB10001424052702304451104577389923098678842).

Oliveira E. C., França F., Goya D., C. Penteado (2016), “The Influence of Retweeting Robots During Brazilian Protests” In 49th Hawaii International Conference on System Sciences (HICSS), Koloa, pp. 2068-2076.

Petticrew M., H. Roberts (2006), Systematic reviews in the social sciences: a practical guide. Hoboken: Blackwell Publishing.

Rains S. A., S. R. Brunner (2015), “What can we learn about social network sites by studying Facebook? A call and recommendations for research on social network sites”, New Media & Society, 17(1): 114–131.

Recalde L., Mendieta J., Boratto L., Terán L., Vaca C., G. Baquerizo (2017), “Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations”, IEEE Transactions On Emerging Topics In Computing, XX(XX).

Sadiq S., Yan Y., Taylor A., Shyu M. L., Chen S. C., D. Feaster (2017), “AAFA: Associative Affinity Factor Analysis for Bot Detection and Stance Classification in Twitter”, IEEE International Conference on Information Reuse and Integration (IRI), San Diego, pp.356-265.

Sanger D. E., (2018), The Perfect Weapon: War, Sabotage, and Fear in the Cyber Age. New York: Crown Publishers.

Shane S., M. Mazzetti (2018), “Inside a 3-Year Russian Campaign to Influence U.S. Voters”, The New York Times [online]. February 16th 2018. Retrieved July 4th 2018. (https://www.nytimes.com/2018/02/16/us/politics/russia-mueller-election.html).

Stieglitz S., Brachten F., Berthelé D., Schlaus M., Venetopoulou C., D. Veutgen (2017), “Do Social Bots (Still) Act Different to Humans? – Comparing Metrics of Social Bots with Those of Humans”, In: Meiselwitz G. (ed), Social Computing and Social

Media. Human Behavior. SCSM 2017. Lecture Notes in Computer Science (LNCS), vol 10282, Springer, Cham, pp. 379–395.

The Economist (2017), Social Media’s threat to democracy. November, 4th-10th, 2017, pp. 20.

Uricchio W. (2011), “The algorithmic turn: Photosynth, augmented reality and the changing implications of the image”. Visual Studies, 26(1): 25–35.

Véras D., Prota T., Bispo A., Prudêncio R., C. Ferraz (2015), “A literature review of recommender systems in the television domain”, Expert Systems With Applications, 42 (22): 9046–9076.

Woolley S. C., P. N. Howard (2016), “Automating power: Social bot interference in global politics”, First Monday, 21 (4).

Woolley S. C., P. N. Howard (2017), “Computational Propaganda Worldwide: Executive Summary” In: “S. Woolley and P. N. Howard (eds.) Working Paper 2017.11. Oxford, UK: Project on Computational Propaganda. comprop.oii.ox.ac.uk. 14 pp.

Woolley S. C., P. N. Howard (2018), “The Political Economy of Bots: Theory and Method in the Study of Social Automation” In: R. Kiggins (ed.), The Political Economy of Robots: Prospects for Prosperity and Peace in the Automated 21st Century, International Political Economy Series. Cham, Switzerland: Palgrave Macmillan, pp.127-155.

Zeifman I. (2017), “Bot Trafic Report 2016: Bots & DDOS, Performance, Security”. Imperva Incapsula. January 24, 2017. Retrieved March 1st , 2018 (https://www.incapsula.com/blog/bot-traffic-report-2016.html).


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