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“please. do. not. share. videos. share. cats.”: Counteracting terrorist and violent extremist content on twitter during terrorist attacks
Umeå University, Faculty of Arts, Department of culture and media studies.ORCID iD: 0000-0003-3665-2476
2023 (English)In: Journalism and Media, ISSN 2673-5172, Vol. 4, no 1, p. 364-376Article in journal (Refereed) Published
Abstract [en]

Obtaining accurate information from social media during a crisis can be difficult, but should all information really be disseminated? Social media platforms actively filter out terrorist and violent extremist content (TVEC), but how are users themselves counteracting its spread? This paper aims to connect the research on media events with studies currently being conducted in information science and digital media research through a case study of tweets during the Vienna terror attack in late 2020. These tweets were manually coded in accordance with Braun and Clarke’s reflexive thematic analysis. This study shows that during the 2020 Vienna attack, GIFs shared on Twitter served three functions: amplification, personalisation and ethical practice. The paper ends with a discussion on the ways cats may function as a countermeasure against the prevalence of TVEC on social media during terrorist attacks and the implications of such countermeasures.

Place, publisher, year, edition, pages
MDPI, 2023. Vol. 4, no 1, p. 364-376
Keywords [en]
terrorist attacks, content moderation, ethics, social media, TVEC, cats
National Category
Media and Communications Sociology
Research subject
media and communication studies; Sociology
Identifiers
URN: urn:nbn:se:umu:diva-205683DOI: 10.3390/journalmedia4010024ISI: 001118847400001Scopus ID: 2-s2.0-85168596592OAI: oai:DiVA.org:umu-205683DiVA, id: diva2:1743265
Funder
The Swedish Crime Victim Compensation and Support Authority, 09413/2020Available from: 2023-03-14 Created: 2023-03-14 Last updated: 2025-04-24Bibliographically approved

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Eriksson Krutrök, Moa

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf