29
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      "Narco" Emotions: Affect and Desensitization in Social Media during the Mexican Drug War

      Preprint
      , ,

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Social media platforms have emerged as prominent information sharing ecosystems in the context of a variety of recent crises, ranging from mass emergencies, to wars and political conflicts. We study affective responses in social media and how they might indicate desensitization to violence experienced in communities embroiled in an armed conflict. Specifically, we examine three established affect measures: negative affect, activation, and dominance as observed on Twitter in relation to a number of statistics on protracted violence in four major cities afflicted by the Mexican Drug War. During a two year period (Aug 2010-Dec 2012), while violence was on the rise in these regions, our findings show a decline in negative emotional expression as well as a rise in emotional arousal and dominance in Twitter posts: aspects known to be psychological markers of desensitization. We discuss the implications of our work for behavioral health, facilitating rehabilitation efforts in communities enmeshed in an acute and persistent urban warfare, and the impact on civic engagement.

          Related collections

          Author and article information

          Journal
          05 July 2015
          Article
          10.1145/2556288.2557197
          1507.01287
          e1701dd3-fbb8-496a-8c0c-cab31d9c236f

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          History
          Custom metadata
          In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI 2014). ACM, New York, NY, USA, pages 3563-3572
          Best paper award at the 32nd annual ACM conference on Human factors in computing systems (CHI '14). ACM, New York, NY, USA, pages 3563-3572
          cs.CY cs.HC cs.SI

          Comments

          Comment on this article