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“She Seems More Human”: Understanding Twitter Users’ Credibility Assessments of Dementia-Related Information

Alhayan, Fatimah; Pennington, Diane Rasmussen; Ruthven, Ian

Authors

Fatimah Alhayan

Ian Ruthven



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 contribute 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 understand and help users evaluate information.

Presentation Conference Type Conference Paper (Published)
Conference Name iConference 2022
Start Date Feb 28, 2022
End Date Mar 4, 2022
Acceptance Date Nov 25, 2021
Online Publication Date Feb 23, 2022
Publication Date 2022
Deposit Date Feb 6, 2023
Publisher Springer
Pages 292-313
Series Title Lecture Notes in Computer Science
Series Number 13193
Series ISSN 0302-9743
Book Title Information for a Better World: Shaping the Global Future: iConference 2022
ISBN 978-3-030-96959-2
DOI https://doi.org/10.1007/978-3-030-96960-8_20
Keywords Credibility, Health information, Twitter, Dementia, Bot