"She seems more human": understanding Twitter users' credibility assessments of dementia-related information

Fatimah Alhayan, Diane Pennington, Ian Ruthven

Research output: Contribution to conferencePaperpeer-review

8 Downloads (Pure)

Abstract

The presence of incorrect, medically uncorroborated information on social media may be harmful if people believe it. The purpose of this qualitative study was to identify how Twitter users evaluate the credibility of dementia-related information sources. It used a think-aloud protocol via semi-structured interviews with 13 caregivers. It identified main credibility dimensions, including 13 factors. Participants deployed a combination of heuristics to assess information sources, and engaged in intensive systematic content review based on prior knowledge and relevance. The findings con-tribute to a nuanced understanding of how users evaluate Twitter sources in the health domain. Some of these are discussed in light of the MAIN Model, and prove significant in how practitioners and developers can better under-stand and help users evaluate information.
Original languageEnglish
Number of pages24
Publication statusPublished - 2 Mar 2022
EventiConference 2022 - Virtual/Online
Duration: 28 Feb 20224 Mar 2022
https://ischools.org/iConference

Conference

ConferenceiConference 2022
Period28/02/224/03/22
Internet address

Keywords

  • credibility
  • health information
  • Twitter
  • dementia
  • bot

Fingerprint

Dive into the research topics of '"She seems more human": understanding Twitter users' credibility assessments of dementia-related information'. Together they form a unique fingerprint.

Cite this