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Anatomy of news consumption on Facebook.
Schmidt, Ana Lucía; Zollo, Fabiana; Del Vicario, Michela; Bessi, Alessandro; Scala, Antonio; Caldarelli, Guido; Stanley, H Eugene; Quattrociocchi, Walter.
Afiliação
  • Schmidt AL; Laboratory of Computational Social Science, Networks Department, IMT Alti Studi Lucca, 55100 Lucca, Italy.
  • Zollo F; Laboratory of Computational Social Science, Networks Department, IMT Alti Studi Lucca, 55100 Lucca, Italy.
  • Del Vicario M; Laboratory of Computational Social Science, Networks Department, IMT Alti Studi Lucca, 55100 Lucca, Italy.
  • Bessi A; IUSS Institute for Advanced Study, 27100 Pavia, Italy.
  • Scala A; Laboratory of Computational Social Science, Networks Department, IMT Alti Studi Lucca, 55100 Lucca, Italy.
  • Caldarelli G; ISC-CNR Uos "Sapienza," 00185 Rome, Italy.
  • Stanley HE; Laboratory of Computational Social Science, Networks Department, IMT Alti Studi Lucca, 55100 Lucca, Italy.
  • Quattrociocchi W; ISC-CNR Uos "Sapienza," 00185 Rome, Italy.
Proc Natl Acad Sci U S A ; 114(12): 3035-3039, 2017 03 21.
Article em En | MEDLINE | ID: mdl-28265082
ABSTRACT
The advent of social media and microblogging platforms has radically changed the way we consume information and form opinions. In this paper, we explore the anatomy of the information space on Facebook by characterizing on a global scale the news consumption patterns of 376 million users over a time span of 6 y (January 2010 to December 2015). We find that users tend to focus on a limited set of pages, producing a sharp community structure among news outlets. We also find that the preferences of users and news providers differ. By tracking how Facebook pages "like" each other and examining their geolocation, we find that news providers are more geographically confined than users. We devise a simple model of selective exposure that reproduces the observed connectivity patterns.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article