Abul-Fottouh D.

Ahmadian S.

Anstead N.

Berman R.

Bimber B.

Boerman S.

Borge R.

Casero-Ripollés A.

Ceron A.

Chadwick A.

Corcoran P. E.

Cwalina W.

Dryzek J. S.

Eltantawy N.

Enli G.

Epstein R.

Esteve Del Valle M.

Gerodimos. R.

Gil de Zúñiga H.

Gruzd A.

Grčar M.

Halupka M.

Helmbrecht J.

Hogan B.

Johnson T. J.

Jordan K. N.

Karpf D.

Kreiss D.

Labrecque L. I.

Lakoff R. T.

Larsson A. O.

Larsson O.

Lilleker D. G.

Lim M.

Miller V.

Scott G. H.

Sherif M.

Skoric M. M.

Sweetser K. D.

Tausczik Y. R.

Thaler R.

Theocharis Y.

Turcotte J.

Utz S.

Valerio G.

Verba S.

White B.

White M.

Wilson J.

Youyou W.

English

Facebook “likes” are often used as a proxy of users’ attention and an affirmation of what is posted on Facebook (Gerodimos &amp; Justinussen, 2015). To determine what factors predict “likes,” the authors analyzed Facebook posts made by the campaigns of Hillary Clinton, Bernie Sanders, and Donald Trump, the top three candidates from the 2016 US primary election. Several possible factors were considered, such as the types of posts, the use of pronouns and emotions, the inclusion of slogans and hashtags, references made to opponents, as well as candidate’s mentions on national television. The results of an ordinary least-squared regression analysis showed that the use of highly charged (positive or negative) emotions and personalized posts (first-person singular pronouns) increased “likes” across all three candidates’ Facebook pages, whereas visual posts (posts containing either videos or photos) and the use of past tenses were liked more often by Hillary Clinton and Bernie Sanders’ followers than by Trump’s followers. Television mentions boosted likes on Clinton and Sanders’ posts but had a negative effect on Trump’s. The study contributes to the growing literature on digitally networked participation (Theocharis, 2015) and supports the emerging notion of the new “hybrid media” system (Chadwick, 2013) for political communication. The study also raises questions as to the relevance of platforms such as Facebook to deliberative democratic processes since Facebook users are not necessarily engaging with the content in an organic way, but instead might be guided to specific content by the Facebook timeline algorithm and targeted ads

Esteve Del Valle, Marc

Wanless-Berk, Alicia

Gruzd, Anatoliy

Mai, Philip

ARTS repository - University of Groningen

I Click, Therefore I am:Predicting Clicktivist-Like Actions on Candidates’ Facebook Posts During the 2016 US Primary Election

Crossref

Chapter 8 I Click, Therefore I Am: Predicting Clicktivist-Like Actions on Candidates’ Facebook Posts During the 2016 US Primary Election

University of Groningen

https://pure.rug.nl/ws/files/133801128/Chapter_I_Click_Therefore_I_Am.pdf

I Click, Therefore I am:Predicting Clicktivist-Like Actions on Candidates’ Facebook Posts During the 2016 US Primary Election

Abstract

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ARTS repository - University of Groningen

Crossref

University of Groningen