The intertwined cyberbalkanizations of Facebook pages and their audience: an analysis of Facebook pages and their audience during the 2014 Hong Kong Occupy Movement

Chung-hong Chan*, Junior Yuner Zhu, Cassius Siu-lun Chow, King-wa Fu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study tests a hypothesis that information sources (e.g., Facebook pages) that share information more frequently with each other have high level of audience overlapping. This association is also hypothesized to be politically motivated. To test the empirical relationship, a Facebook pages sharing network was created using the information shared between 1453 Facebook pages during a social movement in Hong Kong. The sharing frequency between two pages was denoted as the page-level edge weight. The audience of Facebook pages—commenters and likers of the page’s posts—were collected. The Jaccard similarity coefficient between two pages was measured as the audience-level edge weight. Using network regression analysis, the page-level and audience-level edge weights were significantly associated. To show this relationship is politically motivated, 1076 audience members were randomly selected and with their political preferences labeled by inferring from their Facebook profile pictures. Using machine learning models, the repertoires of Facebook pages that they have interacted with can predict their political preferences. Our study demonstrated that selective sharing between information source is associated with the division of their audiences into enclaved subgroups with similar political ideologies.
Original languageEnglish
Pages (from-to)183–205
Number of pages23
JournalJournal of Computational Social Science
Volume2
Issue number2
DOIs
Publication statusPublished - 1 Jul 2019

User-Defined Keywords

  • Cyberbalkanization
  • Social media
  • Political polarization
  • Audience analysis

Fingerprint

Dive into the research topics of 'The intertwined cyberbalkanizations of Facebook pages and their audience: an analysis of Facebook pages and their audience during the 2014 Hong Kong Occupy Movement'. Together they form a unique fingerprint.

Cite this