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  • About Us
    • Data Analytics in the Social Sciences
  • Projects
    • Applied Data Analytics Training Program
    • Big Data and Antropology
    • Big Data and Politics
    • Big Data and Terrorism Studies
    • International Program in Survey and Data Science
  • People
    • Centers and Institutes
      • Center for Advances in Data and Measurement
      • Center for Geospatial Information Science
    • Faculty and Researchers
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  • Workshops and Education
    • Undergraduate Training
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New publication: Time to #Protest: Selective Exposure, Cascading Activation, and Framing in Social Media

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Check out the new work by Professor Ernesto Calvo (GVPT) coauthored with Professor Natalia Aruguete (UNQ-Argentina) published in the Journal of Communication. The paper describes how
social media users frame political events by selectively sharing content that is cognitively congruent with their beliefs. We model cognitive dissonance modeling time-to-retweet
and exemplify the proposed theory with a study of recent protest events in Argentina. 

Using social media data about the the #Tarifazo protests in Argentina, the paper uses survival analysis  to model faster or slower time-to-retweet for content that is cognitively congruent or dissonant with the users’ prior beliefs. "As we show, social media featured prominently in the organization of the #Tarifazo demonstrations and in the delivery of protest messages. Users in well-defined pro- and anti-government communities framed the great rate hike by selecting or discarding posts that included words, hyperlinks, and hashtags, they agreed with."

Read the full article Time to #Protest: Selective Exposure, Cascading Activation, and Framing in Social Media here. 

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