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Predicting Audience Engagement Across Social Media Platforms in the News Domain

  • Kholoud Khalil AldousEmail author
  • Jisun An
  • Bernard J. Jansen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11864)

Abstract

We analyze cross-platform factors for posts on both single and multiple social media platforms for numerous news outlets to better predict audience engagement, precisely the number of likes and comments. We collect 676,779 social media posts from 53 news outlets during eight months on four social media platforms (Facebook, Instagram, Twitter, and YouTube), along with the associated comments (more than 31 million) and the number of likes (more than 840 million). We develop a framework for predicting the audience engagement based on both linguistic features of the post and social media platform factors. Among other findings, results show that content with high engagement on one platform does not guarantee high engagement on another platform, even when news outlets use similar cross-platform posts; however, for some content, cross-sharing posts on a platform will increase overall audience engagement on another platform. As one of the few multiple social media platform studies, the findings have implications for the news domain, as well as other fields that distribute online content via social media.

Keywords

Audience engagement News outlets Social media 

References

  1. 1.
    The Top 25 (2011). https://www.journalism.org/2011/05/09/top-25/. Accessed 15 Apr 2019
  2. 2.
    Aldous, K.K., An, J., Jansen, B.J.: The challenges of creating engaging content : results from a focus group study of a popular news media organization. In: ACM CHI (2019)Google Scholar
  3. 3.
    Aldous, K.K., An, J., Jansen, B.J.: View, like, comment, post: analyzing user engagement by topic at 4 levels across 5 social media platforms for 53 news organizations. In: ICWSM (2019)Google Scholar
  4. 4.
    Alvarez, J.J., Mendoza, F.A., Labrador, M.: An accurate way to cross reference users across social networks. In: SoutheastCon. IEEE (2017)Google Scholar
  5. 5.
    An, J., Cha, M., Gummadi, P.K., Crowcroft, J.: Media landscape in Twitter: a world of new conventions and political diversity. In: ICWSM (2011)Google Scholar
  6. 6.
    An, J., Quercia, D., Crowcroft, J.: Partisan sharing: Facebook evidence and societal consequences. In: COSN. ACM (2014)Google Scholar
  7. 7.
    An, J., Weber, I.: Diversity in online advertising: a case study of 69 brands on social media. In: Staab, S., Koltsova, O., Ignatov, D.I. (eds.) SocInfo 2018. LNCS, vol. 11185, pp. 38–53. Springer, Cham (2018).  https://doi.org/10.1007/978-3-030-01129-1_3CrossRefGoogle Scholar
  8. 8.
    Balbi, S., Misuraca, M., Scepi, G.: Combining different evaluation systems on social media for measuring user satisfaction. Inf. Process. Manag. 54(4), 674–685 (2018)CrossRefGoogle Scholar
  9. 9.
    Barrón-Cedeo, A., Jaradat, I., Martino, G.D.S., Nakov, P.: Proppy: organizing the news based on their propagandistic content. Inf. Process. Manag. 56(5), 1849–1864 (2019)Google Scholar
  10. 10.
    Brems, C., Temmerman, M., Graham, T., Broersma, M.: Personal branding on Twitter. Digit. J. 5(4), 443–459 (2017)Google Scholar
  11. 11.
    Castillo, C., El-Haddad, M., Pfeffer, J., Stempeck, M.: Characterizing the life cycle of online news stories using social media reactions. In: CSCW. ACM (2014)Google Scholar
  12. 12.
    Constantinides, M., Dowell, J.: A framework for interaction-driven user modeling of mobile news reading behaviour. In: UMAP. ACM (2018)Google Scholar
  13. 13.
    Dragoni, M., Federici, M., Rexha, A.: An unsupervised aspect extraction strategy for monitoring real-time reviews stream. Inf. Process. Manag. 56(3), 1103–1118 (2019)CrossRefGoogle Scholar
  14. 14.
    Farahbakhsh, R., Cuevas, A., Crespi, N.: Characterization of cross-posting activity for professional users across Facebook, Twitter and Google+. Soc. Netw. Anal. Min. 6(1), 33 (2016)CrossRefGoogle Scholar
  15. 15.
    Fletcher, R., Nielsen, R.K.: Are people incidentally exposed to news on social media? a comparative analysis. New Media Soc. 20(7), 2450–2468 (2018)CrossRefGoogle Scholar
  16. 16.
    Gottfried, J., Sheare, E.: News use across social media platforms 2016. State of the News Media, pp. 1–20 (2016)Google Scholar
  17. 17.
    Hladk, R., Štětka, V.: The powers that tweet. J. Stud. 18(2), 154–174 (2017)Google Scholar
  18. 18.
    Hussein, R., Hassan, S.: Customer engagement on social media: how to enhance continuation of use. Online Inf. Rev. 41(7), 1006–1028 (2017)CrossRefGoogle Scholar
  19. 19.
    Kallas, P.: Top 15 most popular social networking sites, July 2017 (2017). http://www.ebizmba.com/articles/social-networking-websites. Accessed 19 Aug 2018
  20. 20.
    Kim, S.M., et al.: Twitter content eliciting user engagement: a case study on Australian organisations. In: WWW. ACM (2017)Google Scholar
  21. 21.
    Ksiazek, T.B., Peer, L., Lessard, K.: User engagement with online news: conceptualizing interactivity and exploring the relationship between online news videos and user comments. New Media Soc. 18(3), 502–520 (2016)CrossRefGoogle Scholar
  22. 22.
    Lalmas, M., O’Brien, H., Yom-Tov, E.: Measuring user engagement. Synth. Lect. Inf. Concepts, Retrieval Serv. 6(4), 1–132 (2014)Google Scholar
  23. 23.
    Lee, R.K.W., Hoang, T.A., Lim, E.P.: On analyzing user topic-specific platform preferences across multiple social media sites. In: WWW (2017)Google Scholar
  24. 24.
    Lim, B.H., Lu, D., Chen, T., Kan, M.Y.: # mytweet via instagram: exploring user behaviour across multiple social networks. In: ASONAM. ACM (2015)Google Scholar
  25. 25.
    Mele, I., Bahrainian, S.A., Crestani, F.: Event mining and timeliness analysis from heterogeneous news streams. Inf. Process. Manag. 56(3), 969–993 (2019)CrossRefGoogle Scholar
  26. 26.
    Mitchell, A., Holcomb, J., Weisel, R.: Data and trends about key sectors in the U.S. news media industry. State of the News Media, pp. 1–118 (2016)Google Scholar
  27. 27.
    Mukherjee, P., Jansen, B.J.: Conversing and searching: the causal relationship between social media and web search. Internet Res. 27(5), 1209–1226 (2017)CrossRefGoogle Scholar
  28. 28.
    Mukherjee, P., Jansen, B.J.: Information sharing by viewers via second screens for in-real-life events. Trans. Web 11(1), 1:1–1:24 (2017)Google Scholar
  29. 29.
    Muñoz Expósito, M., Oviedo-García, M., Castellanos-Verdugo, M.: How to measure engagement in Twitter: advancing a metric. Internet Res. 27, 1122–1148 (2017)CrossRefGoogle Scholar
  30. 30.
    Napoli, P.M.: Audience Evolution: New Technologies and the Transformation of Media Audiences. Columbia University Press, New York (2011)Google Scholar
  31. 31.
    Nicolae, M.: 2016’s best news sites (2016). https://wallethub.com/blog/best-news-sites/21699/. Accessed 15 Apr 2019
  32. 32.
    O’Brien, H.L., Toms, E.G.: What is user engagement? a conceptual framework for defining user engagement with technology. Am. Soc. Inf. Sci. Technol. 59(6), 938–955 (2008)CrossRefGoogle Scholar
  33. 33.
    Picone, I., Courtois, C., Paulussen, S.: When news is everywhere: understanding participation, cross-mediality and mobility in journalism from a radical user perspective. J. Pract. 9(1), 35–49 (2015)Google Scholar
  34. 34.
    Schlagwein, D., Hu, M.: How and why organisations use social media: five use types and their relation to absorptive capacity. J. Inf. Technol. 32(2), 194–209 (2017)CrossRefGoogle Scholar
  35. 35.
    Shearer, E., Gottfried, J.: News use across social media platforms 2017. Pew Research Center (2017)Google Scholar
  36. 36.
    Smith, A.N., Fischer, E., Yongjian, C.: How does brand-related user-generated content differ across Youtube, Facebook, and Twitter? J. Interact. Mark. 26(2), 102–113 (2012)CrossRefGoogle Scholar
  37. 37.
    Stocking, G.: Digital news fact sheet. State of the News Media, pp. 1–2 (2017)Google Scholar
  38. 38.
    Swart, J., Peters, C., Broersma, M.: Navigating cross-media news use: media repertoires and the value of news in everyday life. J. Stud. 18(11), 1343–1362 (2017)Google Scholar
  39. 39.
    Zhong, C., Chan, H.w., Karamshuk, D., Lee, D., Sastry, N.: Wearing many (social) hats: how different are your different social network personae? In: ICWSM (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Kholoud Khalil Aldous
    • 1
    Email author
  • Jisun An
    • 2
  • Bernard J. Jansen
    • 2
  1. 1.College of Science and EngineeringHamad Bin Khalifa UniversityDohaQatar
  2. 2.Qatar Computing Research InstituteHamad Bin Khalifa UniversityDohaQatar

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