IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v5y2019i1d10.1057_s41599-019-0330-x.html
   My bibliography  Save this article

Guns on social media: complex interpretations of gun images posted by Chicago youth

Author

Listed:
  • Desmond U. Patton

    (Columbia School of Social Work)

  • William R. Frey

    (Columbia School of Social Work)

  • Michael Gaskell

    (Columbia School of Social Work)

Abstract

How should we interpret gun images on social media? Take for example the shooting at Stoneman Douglas High School. Media articles revealed that the gunman, a white adolescent male, posted images of firearms and other weapons on his social media profile prior to the shooting. On the other hand, when it comes to Black communities, digital policing strategies often intercept images with guns and individuals thought to be associated with gangs before a crime is ever committed. In this study, we use a mixed methods approach, situated in social systems theory, to make meaning of gun posting behavior among Black youth who associate with gangs in Chicago. We collected and examined a corpus of Twitter images (1851) through snowball sampling of a well-known deceased gang member in Chicago and users in their Twitter network. We identified 560 images that contain guns and asked two distinct groups to annotate images: formerly gang-involved outreach workers, known as community domain experts, at a local Chicago violence prevention organization and Master of Social Work students at Columbia University. After comparing their results, findings highlighted the prevalence and frequency of gun image posting within this corpus and critical differences in how community domain experts and social work annotators perceive guns. The various underlying intents provide a rich source of knowledge for understanding the symbolic nature of guns in the digital age.

Suggested Citation

  • Desmond U. Patton & William R. Frey & Michael Gaskell, 2019. "Guns on social media: complex interpretations of gun images posted by Chicago youth," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0330-x
    DOI: 10.1057/s41599-019-0330-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-019-0330-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-019-0330-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kate Crawford & Ryan Calo, 2016. "There is a blind spot in AI research," Nature, Nature, vol. 538(7625), pages 311-313, October.
    2. Santilli, A. & Duffany, K.O. & Carroll-Scott, A. & Thomas, J. & Greene, A. & Arora, A. & Agnoli, A. & Gan, G. & Ickovics, J., 2017. "Bridging the response to mass shootings and urban violence: Exposure to violence in new haven, Connecticut," American Journal of Public Health, American Public Health Association, vol. 107(3), pages 374-379.
    3. Gravel, Jason & Bouchard, Martin & Descormiers, Karine & Wong, Jennifer S. & Morselli, Carlo, 2013. "Keeping promises: A systematic review and a new classification of gang control strategies," Journal of Criminal Justice, Elsevier, vol. 41(4), pages 228-242.
    4. repec:aph:ajpbhl:10.2105/ajph.2016.303613_5 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Salih Tutun & Marina E. Johnson & Abdulaziz Ahmed & Abdullah Albizri & Sedat Irgil & Ilker Yesilkaya & Esma Nur Ucar & Tanalp Sengun & Antoine Harfouche, 2023. "An AI-based Decision Support System for Predicting Mental Health Disorders," Information Systems Frontiers, Springer, vol. 25(3), pages 1261-1276, June.
    2. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
    3. Veljko Dubljevic & George List & Jovan Milojevich & Nirav Ajmeri & William A Bauer & Munindar P Singh & Eleni Bardaka & Thomas A Birkland & Charles H W Edwards & Roger C Mayer & Ioan Muntean & Thomas , 2021. "Toward a rational and ethical sociotechnical system of autonomous vehicles: A novel application of multi-criteria decision analysis," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-17, August.
    4. Fábio Duarte & Ricardo Álvarez, 2019. "The data politics of the urban age," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
    5. Noah Castelo & Adrian F Ward, 2021. "Conservatism predicts aversion to consequential Artificial Intelligence," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
    6. Jon Truby, 2020. "Governing Artificial Intelligence to benefit the UN Sustainable Development Goals," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 946-959, July.
    7. Buhmann, Alexander & Fieseler, Christian, 2021. "Towards a deliberative framework for responsible innovation in artificial intelligence," Technology in Society, Elsevier, vol. 64(C).
    8. Naudé, Wim & Dimitri, Nicola, 2021. "Public Procurement and Innovation for Human-Centered Artificial Intelligence," IZA Discussion Papers 14021, Institute of Labor Economics (IZA).
    9. Latham, Alan & Nattrass, Michael, 2019. "Autonomous vehicles, car-dominated environments, and cycling: Using an ethnography of infrastructure to reflect on the prospects of a new transportation technology," Journal of Transport Geography, Elsevier, vol. 81(C).
    10. Peter John Mennear & Alison Hurst & Katrina Mary Wyatt, 2024. "Charting the Characteristics of Public Health Approaches to Preventing Violence in Local Communities: A Scoping Review of Operationalised Interventions," IJERPH, MDPI, vol. 21(10), pages 1-20, October.
    11. Shani A. L. Buggs & Nicole D. Kravitz-Wirtz & Julia J. Lund, 2022. "Social and Structural Determinants of Community Firearm Violence and Community Trauma," The ANNALS of the American Academy of Political and Social Science, , vol. 704(1), pages 224-241, November.
    12. Roman Lukyanenko & Wolfgang Maass & Veda C. Storey, 2022. "Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1993-2020, December.
    13. Peter Seele & Mario D. Schultz, 2022. "From Greenwashing to Machinewashing: A Model and Future Directions Derived from Reasoning by Analogy," Journal of Business Ethics, Springer, vol. 178(4), pages 1063-1089, July.
    14. Solarte-Vásquez María Claudia & Nyman-Metcalf Katrin, 2017. "Smart Contracting: A Multidisciplinary and Proactive Approach for the EU Digital Single Market," TalTech Journal of European Studies, Sciendo, vol. 7(2), pages 208-246, October.
    15. Jaimee Mallion & Jane Wood, 2020. "Street Gang Intervention: Review and Good Lives Extension," Social Sciences, MDPI, vol. 9(9), pages 1-24, September.
    16. Rhys Samuel Davies & Marianne Julia Davies & David Groves & Keith Davids & Eric Brymer & Allan Trench & John Paul Sykes & Michael Dentith, 2021. "Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective," IJERPH, MDPI, vol. 18(18), pages 1-18, September.
    17. Khalid Alshehhi & Ali Cheaitou & Hamad Rashid, 2024. "Procurement of Artificial Intelligence Systems in UAE Public Sectors: An Interpretive Structural Modeling of Critical Success Factors," Sustainability, MDPI, vol. 16(17), pages 1-20, September.
    18. Emilio M. Santandreu & Joaquín López Pascual & Salvador Cruz Rambaud, 2020. "Determinants of Repayment among Male and Female Microcredit Clients in the USA. An Approach Based on Managers’ Perceptions," Sustainability, MDPI, vol. 12(5), pages 1-17, February.
    19. Hemant Jain & Balaji Padmanabhan & Paul A. Pavlou & T. S. Raghu, 2021. "Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society," Information Systems Research, INFORMS, vol. 32(3), pages 675-687, September.
    20. Metzl, Jonathan M. & McKay, Tara & Piemonte, Jennifer L., 2021. "Structural competency and the future of firearm research," Social Science & Medicine, Elsevier, vol. 277(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0330-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.