2,429
Views
14
CrossRef citations to date
0
Altmetric
Research Articles

Social media affordances in the context of police transparency: An analysis of the first public archive of police body camera videos

Pages 621-640 | Received 02 Oct 2017, Accepted 30 Jul 2018, Published online: 04 Oct 2018
 

ABSTRACT

As more police departments adopt body cameras (BCs), there is a hope that the devices will help usher in a new era of police accountability. Turning to the first online archive of BC footage, this article examines the emergent possibilities and problems that arise when human actors interact with technical designs in applied contexts. Communication affordance theory is used as a framework to situate the archive within discussions about police use of social media, visibility, transparency, and police–community relations. A web application using YouTube’s public API was used to analyze the usage and interaction statistics of the archive. Then, a focus group was conducted to discuss the usability of the archive and its benefits and drawbacks for police–community relations. Findings show that despite the visibility of social media, the videos have low view counts, little interaction, are not easily searchable, and raise more questions about police–community relations than they answer.

Acknowledgments

Special thanks to Nicholas Earwood for his assistance in writing the web application used to retrieve the YouTube data. Thanks also to the anonymous reviewers for their valuable comments and thoughtful suggestions.

Disclosure statement

No potential conflict of interest was reported by the author.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 192.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.