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Virginia Tech

Framing Crime: An Analysis of News Media Twitter Data

Abstract

dc:description.abstract

With the increased social attention to active shooting events in the United States, news outlets are featuring news briefs through social media platforms like Twitter. Using this method of information sharing, news organizations can instantly reach consumers as events unfold in real time. With character limitations with Twitter, one may assume news organizations use words carefully and succinctly to report vital information to the public. By implementing a content analysis of news organization Twitter contributions, messages provided by both legacy and digital native news outlets were evaluated. Using Department of Justice reports specifically covering active shooting events, 32 specific incidents covering the years of 2014-2018 were selected for analysis. This resulted in the identification of over 14,000 individual Tweets. These Tweets were then analyzed using a content analysis to identify overarching themes. Apparent from the onset was the clear priority of news organizations to report on the perpetrators of active shooting events while focusing noticeably less on the victims of these violent events. Further, policy advocation or calls to change current policy was noticeably absent from Twitter discussions. The focus of this paper is to explore the characteristics of emphasized by legacy and digital native news media outlets. This analysis has direct implications on the culture of gun violence, as well as market models which influence the news production process when reporting on active shooting incidents in the United States.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Sociology
Department dc:contributor.department
Sociology
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Callahan, Jason T.
Chair dc:contributor.committeechair
  • Shoemaker, Donald J.
Committee members dc:contributor.committeemember
  • Harrison, Anthony Kwame
  • Ryan, John W.
  • Hawdon, James E.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:24913
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/105399

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Callahan, Jason T.. Framing Crime: An Analysis of News Media Twitter Data. doctoral thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/105399