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Information Diffusion Power of Political Party Twitter Accounts During Japan’s 2017 Election

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Social Informatics (SocInfo 2018)

Abstract

In modern election campaigns, political parties utilize social media to advertise their policies and candidates and to communicate to electorates. In Japan’s latest general election in 2017, the 48th general election for the Lower House, social media, especially Twitter, was actively used. In this paper, we perform a detailed analysis of social graphs and users who retweeted tweets of political parties during the election. Our aim is to obtain accurate information regarding the diffusion power for each party rather than just the number of followers. The results indicate that a user following a user who follows a political party account tended to also follow the account. This means that it does not increase diversity because users who follow each other tend to share similar values. We also find that followers of a specific party frequently retweeted the tweets. However, since users following the user who follow a political party account are not diverse, political parties delivered the information only to a few political detachment users.

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Notes

  1. 1.

    https://twitter.com/.

  2. 2.

    Bloomberg (2017): A 3-Day-Old Japanese Political Party Has Already Overtaken Abe’s on Twitter.

  3. 3.

    The Lower House in Japan was dissolved on this day.

  4. 4.

    We constantly searched by query “RT lang:ja”.

References

  1. Adamic, L.A., Glance, N.: The political blogosphere and the 2004 U.S. election: divided they blog. In: Proceedings of the 3rd International Workshop on Link Discovery, pp. 36–43 (2005)

    Google Scholar 

  2. Bakshy, E., Hofman, J.M., Mason, W.A., Watts, D.J.: Everyone’s an influencer: quantifying influence on Twitter. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, pp. 65–74 (2011)

    Google Scholar 

  3. Barberá, P., Jost, J.T., Nagler, J., Tucker, J.A., Bonneau, R.: Tweeting from left to right: is online political communication more than an echo chamber? Psychol. Sci. 26(10), 1531–1542 (2015)

    Article  Google Scholar 

  4. Batorski, D., Grzywińska, I.: Three dimensions of the public sphere on Facebook. Inf. Commun. Soc. 21(3), 356–374 (2018)

    Article  Google Scholar 

  5. Cha, M., Haddadi, H., Benevenuto, F., Gummadi, K.P.: Measuring user influence in Twitter: the million follower fallacy. In: Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp. 10–17 (2010)

    Google Scholar 

  6. Comarela, G., Crovella, M., Almeida, V., Benevenuto, F.: Understanding factors that affect response rates in Twitter. In: Proceedings of the 23rd ACM Conference on Hypertext and Social Media, pp. 123–132 (2012)

    Google Scholar 

  7. Dahlgren, P.: The internet, public spheres, and political communication: dispersion and deliberation. Polit. Commun. 22(2), 147–162 (2005)

    Article  MathSciNet  Google Scholar 

  8. Hayat, T., Samuel-Azran, T.: “You too, Second Screeners?” Second screeners’ echo chambers during the 2016 U.S. elections primaries. J. Broadcast. Electron. Media 61(2), 291–308 (2017)

    Article  Google Scholar 

  9. Hyun, K.D., Moon, S.J.: News media’s role in the issue-voting process: news attention, issue proximity, and vote choice. Journalism Mass Commun. Q. 91(4), 687–705 (2014)

    Article  Google Scholar 

  10. Iyengar, S., Hahn, K.S.: Red media, blue media: evidence of ideological selectivity in media use. J. Commun. 59(1), 19–39 (2009)

    Article  Google Scholar 

  11. Rodriguez, M.G., Gummadi, K., Schoelkopf, B.: Quantifying information overload in social media and its impact on social contagions. In: Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media, pp. 170–179 (2014)

    Google Scholar 

  12. Stringhini, G., et al.: Follow the green: growth and dynamics in Twitter follower markets. In: Proceedings of the 2013 Internet Measurement Conference, pp. 163–176 (2013)

    Google Scholar 

  13. Tumasjan, A., Sprenger, T., Sandner, P., Welpe, I.: Predicting elections with Twitter: what 140 characters reveal about political sentiment. In: Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp. 178–185 (2010)

    Google Scholar 

  14. Williams, H.T., McMurray, J.R., Kurz, T., Hugo Lambert, F.: Network analysis reveals open forums and echo chambers in social media discussions of climate change. Global Environ. Change 32, 126–138 (2015)

    Article  Google Scholar 

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Correspondence to Mitsuo Yoshida .

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Yoshida, M., Toriumi, F. (2018). Information Diffusion Power of Political Party Twitter Accounts During Japan’s 2017 Election. In: Staab, S., Koltsova, O., Ignatov, D. (eds) Social Informatics. SocInfo 2018. Lecture Notes in Computer Science(), vol 11186. Springer, Cham. https://doi.org/10.1007/978-3-030-01159-8_32

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  • DOI: https://doi.org/10.1007/978-3-030-01159-8_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01158-1

  • Online ISBN: 978-3-030-01159-8

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