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Crime and its fear in social media

Author

Listed:
  • Rafael Prieto Curiel

    (University of Oxford, Radcliffe Observatory Quarter)

  • Stefano Cresci

    (National Research Council (IIT-CNR))

  • Cristina Ioana Muntean

    (National Research Council (ISTI-CNR))

  • Steven Richard Bishop

    (University College London)

Abstract

Social media posts incorporate real-time information that has, elsewhere, been exploited to predict social trends. This paper considers whether such information can be useful in relation to crime and fear of crime. A large number of tweets were collected from the 18 largest Spanish-speaking countries in Latin America, over a period of 70 days. These tweets are then classified as being crime-related or not and additional information is extracted, including the type of crime and where possible, any geo-location at a city level. From the analysis of collected data, it is established that around 15 out of every 1000 tweets have text related to a crime, or fear of crime. The frequency of tweets related to crime is then compared against the number of murders, the murder rate, or the level of fear of crime as recorded in surveys. Results show that, like mass media, such as newspapers, social media suffer from a strong bias towards violent or sexual crimes. Furthermore, social media messages are not highly correlated with crime. Thus, social media is shown not to be highly useful for detecting trends in crime itself, but what they do demonstrate is rather a reflection of the level of the fear of crime.

Suggested Citation

  • Rafael Prieto Curiel & Stefano Cresci & Cristina Ioana Muntean & Steven Richard Bishop, 2020. "Crime and its fear in social media," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:6:y:2020:i:1:d:10.1057_s41599-020-0430-7
    DOI: 10.1057/s41599-020-0430-7
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    References listed on IDEAS

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    Cited by:

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    2. Mantilla, Cesar & Gelvez Ferreira, Juan David Gelvez & Nieto, Maria Paula, 2022. "Costly Norm Enforcement through Sanctions and Rewards: An Experiment with Colombian Future Police Officers," OSF Preprints aebxy, Center for Open Science.

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