Abstract
Social media is transforming Journalism, fading the traditional media and political information access monopoly. In order to discern the new dynamics among Media Directors in relation to other influence groups such as politicians, media and the Citizenship, we searched for patterns via a Machine Learning software to explore big data we then analyzed using data visualization methods. The accounts each user follows on Twitter play a fundamental role in the content to which they will be exposed. Reason why we analyzed who the top 50 followed Spanish Media Directors started following on Twitter from 2017 to 2019 and categorized the accounts in Types of accounts, Institution/Citizenship, Country, Number of followers and Gender. The results of this study show that the most followed Media Directors from Spain started following a majority of Spanish journalists and politicians, despite the fact that the Citizenship is thought to have acquired a more relevant role in the informational process due to digital platforms. On the other hand, results also indicate that Medium-Influencers are the trend among Media Directors, who also present a gender-balanced pattern regarding the accounts they began to follow.
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References
Mahrt, M., Scharkow, M.: The value of big data in digital media research. J. Broadcast. Electron. Media 57(1), 20–33 (2013)
Provost, F., Fawcett, T.: Data science and its relationship to big data and data-driven decision making. Big data 1(1), 51–60 (2013)
Twitter, “About Twitter’s account suggestions,” Twitter Help Center (2019). https://help.twitter.com/en/using-twitter/account-suggestions. Accessed 17 Sept 2019
Gupta, P., Goel, A., Lin, J., Sharma, A., Wang, D., Zadeh, R.: WTF: the who to follow service at Twitter. In: WWW 2013 - Proceedings 22nd International Conference World Wide Web, pp. 505–514 (2013)
Broersma, M., Graham, T.: Tipping the balance of power: social media and the transformation of political journalism. Routledge Companion Soc. Media Polit. 2017, 89–103 (2016)
Vargo, C.J., Guo, L.: Networks, big data, and intermedia agenda setting: an analysis of traditional, partisan, and emerging online U.S. News. J. Mass Commun. Q. 94(4) 1031–1055 (2017)
Chadwick, A.: The Hybrid Media System: Politics and Power. Oxford (2013)
McGregor, S.C., Molyneux, L.: Twitter’s influence on news judgment: an experiment among journalists. Journalism (2018)
Lippmann, W.: Public Opinion, 2nd edn. New Brunswick, London (1998)
Deuze, M.: Managing Media Work. Sage Publications, California (2011)
Feezell, J.T.: Agenda setting through social media: the importance of incidental news exposure and social filtering in the digital era. Polit. Res. Q. 71(2), 482–494 (2018)
Shirky, C.: Here comes everybody: the power of organizing without organizations. Penguin (2008)
Morozov, E.: The net delusion: how not to liberate the world (2011)
McCombs, M. E.: Shaw, D.L.: The agenda-setting function of mass media. Public Opin. Q. 36(2) 176 (1972)s
Meraz, S.: Is there an elite hold ? Traditional media to social media agenda setting influence in blog networks 14, 682–707 (2009)
Bruns, A.: Gatewatching: collaborative online news production, 26th edn. Peter Lang (2005)
Wallace, J.: Modelling contemporary gatekeeping: the rise of individuals, algorithms and platforms in digital news dissemination. Digit. J. 6(3), 274–293 (2018)
Finn, E.: What Algorithms Want. Imagination in the Age of Computing (2017)
Harder, R.A., Sevenans, J., Van Aelst, P.: Intermedia agenda setting in the social media age: how traditional players dominate the news agenda in election times. Int. J. Press. 22(3), 275–293 (2017)
Broersma, M., Graham, T.: Twitter as a news source how Dutch and British newspapers used tweets in their news coverage 2007–2011. J. Pract. 7(4), 446–464 (2013)
Bengoechea, A.G., Muñoz, C.F., Guardia, M.L.G.: Twitter, partisan use and institutional use: comparative analysis between the profiles of Moncloa, Madrid city council and their ruling parties. Commun. Soc. 32(1), 19–37 (2019)
Verweij, P.: Twitter links between politicians and journalists. J. Pract. 6(5–6), 680–691 (2012)
Pérez-Curiel, C., Limón Naharro, P.: Political influencers. a study of Donald Trump’s personal brand on Twitter and its impact on the media and users. Commun. Soc. 32(1) 57–75 (2019)s
Redek, T., Godnov, U.: Twitter as a political tool in eu countries during the economic crisis: a comparative text-mining analysis. Drus. Istraz. 27(4), 691–711 (2018)
Molyneux, L.: What journalists retweet: Opinion, humor, and brand development on Twitter. Journalism 16(7), 920–935 (2015)
Felt, M.: Social media and the social sciences: How researchers employ big data analytics. Big Data Soc. 3, 2053951716645828 (2016)
Kwak, H., Lee, C., Park, H., Moon, S.: What is Twitter, a social network or a news media? In: Proceedings of 19th International Conference World Wide Web - WWW 2010, p. 591 (2010)
Lazarsfeld, P., Merton, R.: Friendship as a social process: A substantive and methodological analysis. In: Berger, M. (ed.) Freedom and Control in Modern Society, pp. 18–66. Van Norstrand, New York (1954)
Mcpherson, M., Smith-lovin, L., Cook, J.M.: Birds of a feather: Homophily in social networks. Annu. Rev. Sociol. 27(1), 415–444 (2001)
Bruns, A., Highfield, T.: Political networks on Twitter. Inform. Commun. Soc. 16(5), 667–691 (2013)
Dubois, E., Gaffney, D.: The multiple facets of influence: identifying political influentials and opinion leaders on Twitter. Am. Behav. Sci. 58(10) 1260–1277 (2014)s
Fuchs, C.: Social Media a Critical Introduction, 2nd edn. Sage, Los Angeles, London, New Delhi, Singapore, Washington DC, Melbourne (2017)
Cha, M., Haddadi, H., Benevenuto, F., Gummadi, K.P.: Measuring user influence in Twitter: the million follower fallacy Meeyoung. In: Fourth International AAAI Conference on Weblogs and Social Media Measuring, pp. 10–17 (2010)
Freberg, K., Graham, K., McGaughey, K., Freberg, L.A.: Who are the social media influencers? A study of public perceptions of personality. Public Relat. Rev. 37(1), 90–92 (2011)s
De Veirman, M., Cauberghe, V., Hudders, L.: Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. Int. J. Advert. 36(5), 798–828 (2017)
Hwang, Y.: Does opinion leadership increase the followers on Twitter. Int. J. Soc. Sci. Human. 5(3), 258–264 (2015)
Tanase, R., Tessone, C.J., Algesheimer, R.: Identification of influencers through the wisdom of crowds. PLoS ONE 13(7), 1–5 (2018)
Maheshwari, S.: Are You Ready for the Nanoinfluencers?,” The New York Times (2018). https://tinyurl.com/y9jgp3zy.
Agrawal, H.: The rise of nano influencers: how many followers do you need to become an Instagram influencer, HypeAuditor Blog (2019). https://tinyurl.com/y5k2kepz.
Langlois, G., Elmer, G.: The Reasearch Politics of Social Media Platforms (2013)
Hawley, D.: 15 best people to follow on Twitter: a guide for 2019, Viral Nation (2019). https://www.viralnation.com/blog/15-best-people-to-follow-on-twitter-a-guide-for-2019/
Lewis, S.C., Zamith, R., Hermida, A.: Content analysis in an era of big data: a hybrid approach to computational and manual methods. J. Broadcast. Electron. Media 57(1), 34–52 (2013)
Vogt, W.P., Vogt, E.R., Gardner, D.C., Haeffele, L.M.: Selecting the Right Analyses for your Data. The Guilford Press, New York, London (2014)
Batrinca, B., Treleaven, P.C.: Social media analytics: A survey of techniques, tools and platforms. AI Soc. Knowl. Cult. Commun. 30(1), 89–116 (2015)
Tankovska, H.: Sweden: minimum number of Instagram influencers’ followers by category 2019 Statistic, Statista (2020). https://tinyurl.com/y55vlz5j.
Butler, J.: Performative Acts and Gender Constitution: An Essay in Phenomenology and Feminist Theory. Johns Hopkins University Press 40(4), 519–531 (1988)
Armstrong, C.L., Gao, F.: Gender, Twitter and news content an examination across platforms and coverage areas. J. Stud. 12(4), 490–505 (2011)
Zoch, L.M., Van Slyke Turk, J.: Women making news: Gender as a variable in source selection and use. J. Mass Commun. Q. 75(4), 762–775 (1998)
Usher, N.: Twitter makes it worse: Political journalists, gendered echo chambers, and the amplification of gender bias. Int. J. Press. 23(3), 324 (2018)
Fernandez, R.: Twitter: usuarios según género España 2019|Statista, Statista 2019 (2019)
Lasorsa, D.L., Lewis, S.C., Holton, A.E.: Normalizing Twitter: Journalism practice in an emerging communication space. J. Stud. 13(1), 19–36 (2012)
Armstrong, C.L., Nelson, M.R.: How newspaper sources trigger gender stereotypes. J. Mass Commun. Q. 82(4), 820–837 (2005)
Connell, R.W.: Gender and Power: Society, The Person and Sexual Politics. John Wiley & Sons (2013)
Acknowledgment
This paper is part of the project “Influencers in political communication in Spain. Analysis of the relatioships among 2.0 opinion leaders, media, parties, institutions, and audiences in the digital environment” (R&D-CS02017–88620-P).
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Israel-Turim, V., Micó-Sanz, JL. (2021). Who Are the Most Followed Following? A Data Analysis Case Study of the Accounts the Top Media Directors from Spain Started Following on Twitter. In: Rocha, Á., Ferrás, C., López-López, P.C., Guarda, T. (eds) Information Technology and Systems. ICITS 2021. Advances in Intelligent Systems and Computing, vol 1331. Springer, Cham. https://doi.org/10.1007/978-3-030-68418-1_22
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