The DOI matches its Crossref record; 133 of the 140 references it cites were found in a registry or an index.
Social media trust: Fighting misinformation in the time of crisis
Open accessAbstract
During crises, the proliferation of misinformation, often termed "infodemics," can severely compromise Shared Situational Awareness (SSA) and impede effective response. With the advent of technology, social media platforms have become crucial tools for response agencies to counteract misinformation and promote SSA. Yet, the intricate dynamics between information dissemination, communication strategies, and trust, especially in the digital realm, remain underexplored. This research looks at the utilisation of technology, specifically social media platforms like Facebook, by response agencies to navigate the challenges of infodemics. Drawing from Seppänen et al. (2013) SSA model, we identified potential risks in digital crisis communication strategies that might undermine public trust and SSA. We used a netnographic analysis of the response agencies’ social media pages, supplemented by field interviews with agency representatives. Our findings contribute to the fields of Information Systems (IS) and communication by 1) highlighting the potential of technology, particularly social media, in crisis communication and misinformation mitigation, 2) identifying the risks and pitfalls of leveraging digital platforms during crises, and 3) underlying the consequences of diminishing public trust in official digital information channels, offering insights into mitigating misinformation and improving crisis response.
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“Fake accounts are used to influence civic belief, change the work atmosphere, and destroy confidence in social networks.”
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“Additionally, frequent exposure to emotionally manipulative content can increase emotions of mistrust and skeptics toward the social media as well as interpersonal connections.”
From The Psycho-Emotive Effects of AI-Generated Fake News on Social Media Users (2026) · cites this paper as Shahbazi & Bunker, 2024
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Metadata
- Authors
- Shahbazi, M., & Bunker, D.
- Affiliations
- UNSW Sydney (AU)
- The University of Sydney (AU)
- Corresponding author
- Shahbazi, Maryam
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 77
- Pages
- 102780
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W4392978142
- Cited by
- 126
- References
- 140
- Citations by year
- 2026: 43 · 2025: 65 · 2024: 18
- FWCI
- 105.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Information Management (publishedVersion, cc-by)
- Topics
- Social Sciences › Communication › Public Relations and Crisis Communication
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Keywords
- trust in social media, misinformation, infodemic, crisis communication, shared situational awareness, Facebook, public trust, netnography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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