Fake News, Misinformation and Disinformation - Learning to Critically Evaluate Sources of Information: Critical Data Analysis

EAVI is a non-profit organization based in Brussels. We work i to empower individuals to be active, engaged citizens in today’s increasingly challenging media environment.

Tracking retractions as a window into the scientific process. List of the top 10 most highly cited retracted papers.

This is what happens when you let the data ramble on and on and on…

Presentation by Jessie Casella, VA Clinical Librarian for Northampton, Central Western Mass Medical Center, on the Edward Tufte One Day course on Presenting Data and Information workshop. Edward Tufte’s course has a focus on fundamental design strategies for information displays such as tables, diagrams, charts and data visualizations. Jessie will focus on Mr. Tufte’s evaluation of data visualizations, ethics of data visualization design, and the pitfalls of PowerPoint.

This interactive resource and archive aims to help people make sense of data visualizations.

Verification Handbook 2. (n.d.). DataJournalism.Com. Retrieved February 25, 2021, from https://datajournalism.com/read/handbook/verification-2

Woolston, C. (2015). Bar graphs criticized for misrepresenting data. Nature (London), 520(7549), 589–589. https://doi.org/10.1038/520589f

Torabi Asr, F., & Taboada, M. (2019). Big Data and quality data for fake news and misinformation detection. Big Data & Society, 6(1), 205395171984331–. https://doi.org/10.1177/2053951719843310

Weissgerber, T., Garovic, V., Savic, M., Winham, S., & Milic, N. (2016). From static to interactive: transforming data vsualization to improve transparency. PLoS Biology, 14(6), e1002484–e1002484. https://doi.org/10.1371/journal.pbio.1002484

Lauer, C., & O’Brien, S. (2020). How people are influenced by deceptive tactics in everyday charts and graphs. IEEE Transactions on Professional Communication, 63(4), 327–340. https://doi.org/10.1109/TPC.2020.3032053

Raschke, R., & Steinbart, J. (2008). Mitigating the effects of misleading graphs on decisions by educating users about the principles of graph design. The Journal of Information Systems, 22(2), 23–52. https://doi.org/10.2308/jis.2008.22.2.23

Kitchenham, B., Jeffery, D., & Connaughton, C. (2007). Misleading metrics and unsound analyses. IEEE Software, 24(2), 73–78. https://doi.org/10.1109/MS.2007.49