Visual Prebunking Advertisements Perform Better Than Their Audio-Only Counterpart for Improving Information Literacy / Daly, D., & Jarrette, K. (2025). Design of audio ads to prebunk misinformation and promote civil discourse. Information Research: An International Electronic Journal, 30(iConf), 249–259. https://doi.org/10.47989/ir30iConf47359

Grams, Kathy

doi:https://doi.org/10.18438/eblip30847

Barker, T. H., Habibi, N., Aromataris, E., Stone, J. C., Leonardi-Bee, J., Sears, K., Hasanoff, S., Klugar, M., Tufanaru, C., Moola, S., & Munn, Z. (2024). The revised JBI critical appraisal tool for the assessment of risk of bias for quasi-experimental studies. JBI Evidence Synthesis, 22(3), 378–388. https://doi.org/10.11124/JBIES-23-00268

10.11124/JBIES-23-00268 Google Scholar

Maertens, R., Götz, F. M., Golino, H. F., Roozenbeek, J., Schneider, C. R., Kyrychenko, Y., Kerr, J. R., Stieger, S., McClanahan, W. P., Drabot, K., He, J., & van der Linden, S. (2024). The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment. Behavior Research Methods, 56(3), 1863–1899. https://doi.org/10.3758/s13428-023-02124-2

10.3758/s13428-023-02124-2 Google Scholar

Revez, J., & Corujo, L. (2021). Librarians against fake news: A systematic literature review of library practices (Jan. 2018–Sept. 2020). Journal of Academic Librarianship, 47(2). Scopus. https://doi.org/10.1016/j.acalib.2020.102304

10.1016/j.acalib.2020.102304 Google Scholar

Sanders, L. (2023, June 29). How well can Americans distinguish real news headlines from fake ones? https://today.yougov.com/politics/articles/45855-americans-distinguish-real-fake-news-headline-poll

Google Scholar

University of Cambridge. (n.d.). Misinformation Susceptibility Test (MIST). https://yourmist.streamlit.app/

Google Scholar

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