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Information literacy and fake news: How the field of librarianship can help combat the epidemic of fake news
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This paper studies how the field of librarianship can help counteract the phenomenon of fake news and misinformation. A literature review was conducted to identify the current themes, patterns, correlations and gaps within the existing literature on fake news, information literacy and librarianship. Findings centre on defining fake news, analysing contemporary and emerging information literacy frameworks, and outlining the current efforts and initiatives exercised by libraries to refute the spread of fake news and educate communities on how to navigate through an era of untruth and disinformation. The paper outlines effective initiatives developed by those within the Library and Information Systems (LIS) profession while highlighting considerations and recommendations as to how librarians can continue to enhance their role in the digital age and make successful contributions to the professional field.
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“For consumers in their everyday lives, a rather generalized but crucial protection mechanism involves developing the capabilities necessary for analyzing and interpreting the legitimacy of online content (Bulger & Davison, 2018; De Paor & Heravi, 2020; Viviani & Pasi, 2017).”
From Deepfakes: Deceptions, mitigations, and opportunities (2023) · cites this paper as De Paor & Heravi, 2020
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Metadata
- Authors
- De Paor, S., & Heravi, B.
- Affiliations
- University College Dublin (IE)
- Corresponding author
- Heravi, Bahareh
- ORCID
- Heravi, Bahareh
- Venue
- The Journal of Academic Librarianship
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 46
- Issue
- 5
- Pages
- 102218
- ISSN
- 0099-1333 (ISSN-L)
- OpenAlex
- W3044695834
- Cited by
- 191
- References
- 30
- Citations by year
- 2026: 12 · 2025: 45 · 2024: 48 · 2023: 36 · 2022: 32 · 2021: 15 · 2020: 3
- FWCI
- 28.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Journal of Academic Librarianship (publishedVersion, cc-by)
- Maynooth University ePrints and eTheses Archive (Maynooth University) (acceptedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Social Sciences › Library and Information Sciences › Information Science and Libraries
- Keywords
- fake news, misinformation, disinformation, information literacy, librarianship, libraries, information literacy framework, librarian roles, digital era
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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