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  1. Twitter and crime
    the effect of social movements on gender-based violence
    Autor*in: Battisti, Michele; Kauppinen, Ilpo; Rude, Britta
    Erschienen: November 2022
    Verlag:  ifo Institute - Leibniz Institute for Economic Research at the University of Munich, Munich, Germany

    This paper asks whether social movements taking place on Twitter affect gender-based violence (GBV). Using Twitter data and machine learning methods, we construct a novel data set on the prevalence of Twitter conversations about GBV. We then link... mehr

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    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 402
    Fernleihe:
    keine Fernleihe

     

    This paper asks whether social movements taking place on Twitter affect gender-based violence (GBV). Using Twitter data and machine learning methods, we construct a novel data set on the prevalence of Twitter conversations about GBV. We then link this data to weekly crime reports at the federal state level from the United States. We exploit the high-frequency nature of our data and an event study design to establish a causal impact of Twitter social movements on GBV. Our results point out that Twitter tweets related to GBV lead to a decrease in reported crime rates. The evidence shows that perpetrators commit these crimes less due to increased social pressure and perceived social costs. The results indicate that social media could significantly decrease reported GBV and might facilitate the signaling of social norms.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/266258
    Schriftenreihe: Ifo working papers ; 381 (2022)
    Schlagworte: Economics of gender; US; domestic abuse; public policy; criminal law; illegal behavior and the enforcement of law
    Umfang: 1 Online-Ressource (circa 66 Seiten), Illustrationen
  2. The critical role of social leaders in the spread of social movements against gender-based violence on Twitter
    Autor*in: Rude, Britta
    Erschienen: November 2022
    Verlag:  ifo Institute - Leibniz Institute for Economic Research at the University of Munich, Munich, Germany

    This paper asks how social movements against gender-based violence (GBV) spread on Twitter. To this end, I construct a novel dataset measuring 10 large social movements against GBV on Twitter. I show that these movements start suddenly and fade out... mehr

    Zugang:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 402
    Fernleihe:
    keine Fernleihe

     

    This paper asks how social movements against gender-based violence (GBV) spread on Twitter. To this end, I construct a novel dataset measuring 10 large social movements against GBV on Twitter. I show that these movements start suddenly and fade out quickly and that there is considerable variation at the sub-national level in the US. Twitter users are more likely to share content created by other users instead of creating original content. Text mining the text of tweets reveals that polarization is low and that most users express fear and sadness. Neither polarized nor emotional content does generate more traction in form of likes, retweets, replies or quotes. I develop a novel instrumental variable strategy and show that Twitter users with an established network play a major role in the spread of tweets. An analysis of users' profile pictures and names reveals low social inclusiveness of these movements. Users are on average female, young, and White. Tweets posted by non-white users generate less traction. Moreover, women are more prone to reference content by women, while the reverse applies to men.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/266260
    Schriftenreihe: Ifo working papers ; 383 (2022)
    Schlagworte: Economics of gender; non-labor discrimination; demographic economics; public policy; social choice; clubs; committees; associations; economic sociology
    Umfang: 1 Online-Ressource (circa 61 Seiten), Illustrationen