Michael Schwartz Library Publications
ORCID ID
orcid.org/0000-0003-0477-2828
Document Type
Article
Publication Date
10-2026
Publication Title
Journal of Academic Librarianship
Abstract
Today's complex, algorithmically-driven information landscape can be difficult to navigate. While media literacy skills are important for negotiating this complexity, a pedagogical focus on misinformation and fact-checking can have the unintended effect of increasing already widespread cynicism, including among young people. In this exploratory study, we introduced college students to a new pedagogical concept: bias filters. Bias filters are aspects of the information creation process that help to reduce bias in the final product. The findings suggest that bias filters have considerable promise as an instructional tool, encouraging students to approach information sources with a more nuanced, less cynical perspective. Future potential considerations and implications for bias filters as an instructional inclusion are discussed.
Repository Citation
Goodsett, Mandi; Richards, Ben; and Rapp, David N., "Exploring bias filters as a source evaluation tool" (2026). Michael Schwartz Library Publications. 193.
https://engagedscholarship.csuohio.edu/msl_facpub/193
Original Citation
Goodsett, Mandi, et al. “Exploring Bias Filters as a Source Evaluation Tool.” The Journal of Academic Librarianship, vol. 52, no. 6, Nov. 2026, p. 103354. https://doi.org/10.1016/j.acalib.2026.103354.
DOI
10.1016/j.acalib.2026.103354
Version
Publisher's PDF
Publisher's Statement
This article is published by Elsevier in the Journal of Academic Librarianship. https://www.sciencedirect.com/science/article/pii/S0099133326001564
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume
52
Issue
6
Included in
Educational Methods Commons, Higher Education Commons, Information Literacy Commons, Instructional Media Design Commons
