lynx   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v60y2019icp35-46.html
   My bibliography  Save this article

Police use of force and its video coverage: An experimental study of the impact of media source and content on public perceptions

Author

Listed:
  • Miethe, Terance D.
  • Venger, Olesya
  • Lieberman, Joel D.
Abstract
To explore the influence of media source, suspect's alleged criminal activity, and the rater's socio-demographic attributes on public ratings of video incidents of police use of force (PUF).

Suggested Citation

  • Miethe, Terance D. & Venger, Olesya & Lieberman, Joel D., 2019. "Police use of force and its video coverage: An experimental study of the impact of media source and content on public perceptions," Journal of Criminal Justice, Elsevier, vol. 60(C), pages 35-46.
    • Handle: RePEc:eee:jcjust:v:60:y:2019:i:c:p:35-46
    DOI: 10.1016/j.jcrimjus.2018.10.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047235218303702
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jcrimjus.2018.10.006?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Gabriele Paolacci & Jesse Chandler & Panagiotis G. Ipeirotis, 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 411-419, August.
    2. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    3. Paolacci, Gabriele & Chandler, Jesse & Ipeirotis, Panagiotis G., 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Cambridge University Press, vol. 5(5), pages 411-419, August.
    4. Richard, Marie-Odile & Habibi, Mohammad Reza, 2016. "Advanced modeling of online consumer behavior: The moderating roles of hedonism and culture," Journal of Business Research, Elsevier, vol. 69(3), pages 1103-1119.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yasir Aleem & Sanan Waheed Khan & Saima Jamroze, 2021. "Media'S Portrayal Of Crime And Public Perception Toward The Criminal Justice System," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 10(4), pages 167-175, December.
    2. Patricia J Dixon & Lauren Dundes, 2020. "Exceptional Injustice: Facebook as a Reflection of Race- and Gender-Based Narratives Following the Death of George Floyd," Social Sciences, MDPI, vol. 9(12), pages 1-24, December.
    3. Keith Monique G Prontes & John Micheal B Alforte & Adrian A Neri & Teopisto Y Culanag Jr & Jose F Cuevas Jr, 2025. "Examining the Relationship between Media Portrayals of Crime Scenes and the Fear of Engaging in Criminal Behavior: A Correlational Study," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 4766-4775, January.

    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. Sweldens, Steven & Puntoni, Stefano & Paolacci, Gabriele & Vissers, Maarten, 2014. "The bias in the bias: Comparative optimism as a function of event social undesirability," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(2), pages 229-244.
    2. Hsu, Dan K. & Burmeister-Lamp, Katrin & Simmons, Sharon A. & Foo, Maw-Der & Hong, Michelle C. & Pipes, Jesse D., 2019. "“I know I can, but I don't fit”: Perceived fit, self-efficacy, and entrepreneurial intention," Journal of Business Venturing, Elsevier, vol. 34(2), pages 311-326.
    3. Lutz, Christoph & Newlands, Gemma, 2018. "Consumer segmentation within the sharing economy: The case of Airbnb," Journal of Business Research, Elsevier, vol. 88(C), pages 187-196.
    4. Mariconda, Simone & Lurati, Francesco, 2015. "Does familiarity breed stability? The role of familiarity in moderating the effects of new information on reputation judgments," Journal of Business Research, Elsevier, vol. 68(5), pages 957-964.
    5. Tobias Schlager & Ashley V. Whillans, 2022. "People underestimate the probability of contracting the coronavirus from friends," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    6. Charness, Gary & Gneezy, Uri & Kuhn, Michael A., 2013. "Experimental methods: Extra-laboratory experiments-extending the reach of experimental economics," Journal of Economic Behavior & Organization, Elsevier, vol. 91(C), pages 93-100.
    7. Orazi, Davide C. & Pizzetti, Marta, 2015. "Revisiting fear appeals: A structural re-inquiry of the protection motivation model," International Journal of Research in Marketing, Elsevier, vol. 32(2), pages 223-225.
    8. Cantarella, Michele & Strozzi, Chiara, 2019. "Workers in the Crowd: The Labour Market Impact of the Online Platform Economy," IZA Discussion Papers 12327, Institute of Labor Economics (IZA).
    9. Gökçe Esenduran & James A. Hill & In Joon Noh, 2020. "Understanding the Choice of Online Resale Channel for Used Electronics," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1188-1211, May.
    10. Azzam, Tarek & Harman, Elena, 2016. "Crowdsourcing for quantifying transcripts: An exploratory study," Evaluation and Program Planning, Elsevier, vol. 54(C), pages 63-73.
    11. repec:cup:judgdm:v:9:y:2014:i:3:p:287-296 is not listed on IDEAS
    12. Ronayne, David & Sgroi, Daniel & Tuckwell, Anthony, 2021. "Evaluating the sunk cost effect," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 318-327.
    13. Gandullia, Luca & Lezzi, Emanuela & Parciasepe, Paolo, 2020. "Replication with MTurk of the experimental design by Gangadharan, Grossman, Jones & Leister (2018): Charitable giving across donor types," Journal of Economic Psychology, Elsevier, vol. 78(C).
    14. Prissé, Benjamin & Jorrat, Diego, 2022. "Lab vs online experiments: No differences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    15. Efrat Dressler & Yevgeny Mugerman, 2023. "Doing the Right Thing? The Voting Power Effect and Institutional Shareholder Voting," Journal of Business Ethics, Springer, vol. 183(4), pages 1089-1112, April.
    16. Valerio Capraro & Hélène Barcelo, 2021. "Punishing defectors and rewarding cooperators: Do people discriminate between genders?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(1), pages 19-32, September.
    17. Gupta, Vishal K. & Goktan, A. Banu & Gunay, Gonca, 2014. "Gender differences in evaluation of new business opportunity: A stereotype threat perspective," Journal of Business Venturing, Elsevier, vol. 29(2), pages 273-288.
    18. Garbarino, Ellen & Slonim, Robert & Villeval, Marie Claire, 2019. "Loss aversion and lying behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 379-393.
    19. Lefgren, Lars J. & Sims, David P. & Stoddard, Olga B., 2016. "Effort, luck, and voting for redistribution," Journal of Public Economics, Elsevier, vol. 143(C), pages 89-97.
    20. Dahling, Jason J. & Wiley, Shaun & Fishman, Zachary A. & Loihle, Amber, 2016. "A stake in the fight: When do heterosexual employees resist organizational policies that deny marriage equality to LGB peers?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 132(C), pages 1-15.
    21. Lingmont, Derek N.J. & Alexiou, Andreas, 2020. "The contingent effect of job automating technology awareness on perceived job insecurity: Exploring the moderating role of organizational culture," Technological Forecasting and Social Change, Elsevier, vol. 161(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:jcjust:v:60:y:2019:i:c:p:35-46. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jcrimjus .

    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.
    Лучший частный хостинг