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Journalists on Twitter: self-branding, audiences, and involvement of bots

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Abstract

Spread of news and misinformation on social networks have been a topic of extensive study in the recent years. There are concerns about the possibility of ongoing information operations, which has lead to studies on a wide scope including the truthfulness of content and the participation of social bots in the process. Studying how online entities of journalists is embedded in the Twitter network is crucial for understanding the core of this problem, since they hold a valuable broadcast platform in informing the public. In this work, we collected over 290,000 accounts that self-identify as a journalist or a reporter and analyzed their professional and follower networks on the platform. Twitter follower composition of journalists reflect their potential audiences and who disseminates their messages further on the network. It is essential for a journalist to reach a broad, organic readership as opposed to a following of bots and bot-assisted accounts. We looked at the followers of journalists for an analysis of the composition and evolution of their audiences, particularly looking out for social bot involvement. We found the trends for verified and non-verified accounts to be opposite of each other; among verified accounts bot follower tend to target more popular ones, whereas unverified accounts have a higher fraction of bot followers early on when they have fewer followers, possibly indicating attempts at boosting apparent popularity artificially. Outcomes of this research emphasize the importance of editorial oversight and that the prestige of journalists should not be confused with their apparent popularity online.

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Notes

  1. https://help.twitter.com/en/managing-your-account/about-twitter-verified-accounts.

  2. https://nominatim.openstreetmap.org/.

  3. http://botometer.iuni.iu.edu.

  4. https://www.nytimes.com/interactive/2018/01/27/technology/social-media-bots.html.

  5. https://twitter.com/TwitterSupport/status/930926225517719552.

  6. https://hoaxy.iuni.iu.edu/.

  7. http://osome.iuni.iu.edu/.

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Authors and Affiliations

  1. Center for Complex Network Research, Northeastern University, Boston, USA

    Onur Varol

  2. University of South Florida, Tampa, USA

    Ismail Uluturk

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  1. Onur Varol
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  2. Ismail Uluturk
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Correspondence to Onur Varol.

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Varol, O., Uluturk, I. Journalists on Twitter: self-branding, audiences, and involvement of bots. J Comput Soc Sc 3, 83–101 (2020). https://doi.org/10.1007/s42001-019-00056-6

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