A Structured Mechanism for Identifying Political Influencers on Social Media Platforms: Top 10 Saudi Political Twitter Users
Social media networks, such as Twitter, offer the perfect opportunity to either positively or negatively affect political attitudes on large audiences. The existence of influential users who have developed a reputation for their knowledge and experience of specific topics is a major factor contributing to this impact. Therefore, knowledge of the mechanisms to identify influential users on social media is vital for understanding their effect on their audience. The concept of the influential user is related to the concept of opinion leaders' to indicate that ideas first flow from mass media to opinion leaders and then to the rest of the population. Hence, the objective of this research was to provide reliable and accurate structural mechanisms to identify influential users, which could be applied to different platforms, places, and subjects. Twitter was selected as the platform of interest, and Saudi Arabia as the context for the investigation. These were selected because Saudi Arabia has a large number of Twitter users, some of whom are considerably active in setting agendas and disseminating ideas. The study considered the scientific methods that have been used to identify public opinion leaders before, utilizing metrics software on Twitter. The key findings propose multiple novel metrics to compare Twitter influencers, including the number of followers, social authority and the use of political hashtags, and four secondary filtering measures. Thus, using ratio and percentage calculations to classify the most influential users, Twitter accounts were filtered, analyzed and included. The structured approach is used as a mechanism to explore the top ten influencers on Twitter from the political domain in Saudi Arabia.Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 316
 E. Katz and P. Lazarsfeld, "F.(1955) Personal influence. The part played by people in the flow of mass communications".
 D. Zeng, H. Chen, R. Lusch and S. Li, "Social media analytics and intelligence," IEEE Intelligent Systems, vol. 25, (6), pp. 13-16, 2010.
 A. L. Kavanaugh, E. A. Fox, S. D. Sheetz, S. Yang, L. T. Li, D. J. Shoemaker, A. Natsev and L. Xie, "Social media use by government: From the routine to the critical," Government Information Quarterly, vol. 29, (4), pp. 480-491, 2012.
 C. Paris and S. Wan, "Listening to the community: Social media monitoring tasks for improving government services," in CHI'11 Extended Abstracts on Human Factors in Computing Systems, 2011, pp. 2095-2100.
 S. Stieglitz, T. Brockmann and L. Dang-Xuan, "Usage of social media for political communication." in Pacis, 2012, pp. 22.
 S. S. Bodrunova, A. A. Litvinenko and I. S. Blekanov, "Influencers on the Russian twitter: Institutions vs. people in the discussion on migrants," in Proceedings of the International Conference on Electronic Governance and Open Society: Challenges in Eurasia, 2016, pp. 212-222.
 H. Gil de Ziga, E. Puig-i-Abril and H. Rojas, "Weblogs, traditional sources online and political participation: An assessment of how the Internet is changing the political environment," New Media & Society, vol. 11, (4), pp. 553-574, 2009.
 M. A. Xenos, A. Vromen and B. D. Loader, "The great equalizer? patterns of social media use and youth political engagement in three advanced democracies," in The Networked Young Citizen Anonymous Routledge, 2014, pp. 33-54.
 H. Gil de Ziga, L. Molyneux and P. Zheng, "Social media, political expression, and political participation: Panel analysis of lagged and concurrent relationships," J. Commun., vol. 64, (4), pp. 612-634, 2014.
 B. E. Weeks and R. L. Holbert, "Predicting dissemination of news content in social media: A focus on reception, friending, and partisanship," Journalism & Mass Communication Quarterly, vol. 90, (2), 2013.
 W. Brooker and D. Jermyn, The Audience Studies Reader. Psychology Press, 2003.
 E. Bakshy, J. M. Hofman, W. A. Mason and D. J. Watts, "Everyone's an influencer: Quantifying influence on twitter," in Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, 2011, pp. 65-74.
 E. Keller and B. Fay, "How to use influencers to drive a word-of-mouth strategy," Warc Best Practice, pp. 1-8, 2016.
 M. Cha, H. Haddadi, F. Benevenuto and K. Gummadi, "Measuring user influence in twitter: The million follower fallacy," in Proceedings of the International AAAI Conference on Web and Social Media, 2010, .
 F. B. Soares, R. Recuero and G. Zago, "Influencers in polarized political networks on twitter," in Proceedings of the 9th International Conference on Social Media and Society, 2018, pp. 168-177.
 E. Dubois and D. Gaffney, "The multiple facets of influence: Identifying political influentials and opinion leaders on Twitter," Am. Behav. Sci., vol. 58, (10), pp. 1260-1277, 2014.
 Influencers Marketing Hub, "What is an Influencer?" 2019.
 B. Cammaerts, "Social media and activism," The International Encyclopedia of Digital Communication and Society, pp. 1-8, 2015.
 W. J. Grant, B. Moon and J. Busby Grant, "Digital dialogue? Australian politicians' use of the social network tool Twitter," Australian Journal of Political Science, vol. 45, (4), pp. 579-604, 2010.
 E. Dubois and W. H. Dutton, "The fifth estate in Internet governance: Collective accountability of a Canadian policy initiative," Revue Francaise Detudes Americaines, (4), pp. 81-97, 2012.
 J. Porter, "Relationship symmetry in social networks: Why Facebook will go fully asymmetric," Bokardo:
 M. Vergeer, "Twitter and political campaigning," Sociology Compass, vol. 9, (9), pp. 745-760, 2015.
 Twitter, "Twitter," 2015.
 S. Coleman and J. G. Blumler, The Internet and Democratic Citizenship: Theory, Practice and Policy. Cambridge University Press, 2009.
 Y. Albalawi and J. Sixsmith, "Identifying Twitter influencer profiles for health promotion in Saudi Arabia," Health Promot. Internation., vol. 32, (3), pp. 456-463, 2015.
 S. González-Bailón, J. Borge-Holthoefer and Y. Moreno, "Broadcasters and hidden influentials in online protest diffusion," Am. Behav. Sci., vol. 57, (7), pp. 943-965, 2013.
 H. Kwak, C. Lee, H. Park and S. Moon, "What is twitter, a social network or a news media?" in Proceedings of the 19th International Conference on World Wide Web, 2010, pp. 591-600.
 G. Rattanaritnont, M. Toyoda and M. Kitsuregawa, "Characterizing topic-specific hashtag cascade in twitter based on distributions of user influence," in Asia-Pacific Web Conference, 2012, pp. 735-742.
 S. Wu, J. M. Hofman, W. A. Mason and D. J. Watts, "Who says what to whom on twitter," in Proceedings of the 20th International Conference on World Wide Web, 2011, pp. 705-714.
 J. W. Creswell, A Concise Introduction to Mixed Methods Research. SAGE publications, 2014.
 O. M. Mugenda and A. G. Mugenda, "Quantitative and qualitative approaches," 2003.
 H. Yoganarasimhan, "Impact of social network structure on content propagation: A study using YouTube data," Quantitative Marketing and Economics, vol. 10, (1), pp. 111-150, 2012.
 Y. Feng, "Are you connected? Evaluating information cascades in online discussion about the# RaceTogether campaign," Comput. Hum. Behav., vol. 54, pp. 43-53, 2016.
 Y. Hwang, "Does opinion leadership increase the followers on Twitter," International Journal of Social Science and Humanity, vol. 5, (3), pp. 258, 2015.
 D. M. Romero, W. Galuba, S. Asur and B. A. Huberman, "Influence and passivity in social media," in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2011, pp. 18-33.
 Followerwonk, "Social authority," 2019.
 I. Alfina, D. Sigmawaty, F. Nurhidayati and A. N. Hidayanto, "Utilizing hashtags for sentiment analysis of tweets in the political domain," in Proceedings of the 9th International Conference on Machine Learning and Computing, 2017, pp. 43-47.
 E. M. Rogers, "Diffusion of innovations, 5th edn Tampa," FL: Free Press. (Google Scholar), 2003.
 J. W. Dearing, "Applying diffusion of innovation theory to intervention development," Research on Social Work Practice, vol. 19, (5), pp. 503-518, 2009.
 J. M. Grimshaw, M. P. Eccles, J. N. Lavis, S. J. Hill and J. E. Squires, "Knowledge translation of research findings," Implementation Science, vol. 7, (1), pp. 1-17, 2012.
 A. Gulyas, "The Influence of Professional Variables on Journalists’ Uses and Views of Social Media: A comparative study of Finland, Germany, Sweden and the United Kingdom," Digital Journalism, vol. 1, (2), pp. 270-285, 2013.
 L. Willnat and D. H. Weaver, "Social media and US journalists: Uses and perceived effects on perceived norms and values," Digital Journalism, vol. 6, (7), pp. 889-909, 2018.
 C. Lutz, C. P. Hoffmann and M. Meckel, "Beyond just politics: A systematic literature review of online participation," First Monday, vol. 19, (7), pp. 1-36, 2014.
 K. Strandberg, "A social media revolution or just a case of history repeating itself? The use of social media in the 2011 Finnish parliamentary elections," New Media & Society, vol. 15, (8), pp. 1329-1347, 2013.
 L. Vochocová, V. Štětka and J. Mazák, "Good girls don't comment on politics? Gendered character of online political participation in the Czech Republic," Information, Communication & Society, vol. 19, (10), pp. 1321-1339, 2016.
 E. K. Vraga, K. Thorson, N. Kligler-Vilenchik and E. Gee, "How individual sensitivities to disagreement shape youth political expression on Facebook," Comput. Hum. Behav., vol. 45, pp. 281-289, 2015.
 A. Friedman, "Hashtag journalism The pros and cons to covering Twitter’s trending topics," Columbia Journalism Review, vol. 29, 2014.
 T. Rosenstiel and A. Mitchell, "How mainstream media outlets use Twitter," Pew Research Center Y School of Media and Public Affairs De La Universidad George Washington.Washington. Recuperado El, vol. 2, 2011.
 S. A. Melnyk, D. M. Stewart and M. Swink, "Metrics and performance measurement in operations management: dealing with the metrics maze," J. Oper. Manage., vol. 22, (3), pp. 209-218, 2004.