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Digital Literacy and Misinformation: Think Critically Tutorial

This library guide functions as a tutorial to combat information overload and misinformation. The tutorial offers a three-part video series with supporting asynchronous learning activities and resources.

Part 2: Social Media & Influence

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  • Beskow, D. M., Kumar, S., & Carley, K. M. (2020). The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning. Information Processing & Management, 57(2), 102170.

  • Barton, N. T.-L., Paul Resnick, and Genie. (2019, May 22). Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms. Brookings. https://www.brookings.edu/research/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/

  • Confessore, N. (2018, April 4). Cambridge Analytica and Facebook: The Scandal and the Fallout So Far (Published 2018). The New York Times. https://www.nytimes.com/2018/04/04/us/politics/cambridge-analytica-scandal-fallout.html

  • Graham, J., Haidt, J., & Nosek, B. A. (2009). Liberals and conservatives rely on different sets of moral foundations. Journal of Personality and Social Psychology, 96(5), 1029–1046.

  • Head, A. J., DeFrain, E., Fister, B., & MacMillan, M. (2019). Across the great divide: How today’s college students engage with news. First Monday, 24(8). https://doi.org/10.5210/fm.v24i8.10166 

  • Hideous hermaphroditical character (Spurious Quotation) | Thomas Jefferson’s Monticello. (n.d.). Retrieved October 19, 2020, from https://www.monticello.org/site/research-and-collections/hideous-hermaphroditical-character-spurious-quotation

  • Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., Rothschild, D., Schudson, M., Sloman, S. A., Sunstein, C. R., Thorson, E. A., Watts, D. J., & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094–1096. https://doi.org/10.1126/science.aao2998

  • Kahneman, D. (2011). Thinking, fast and slow. Macmillan.

  • Pennycook, G., & Rand, D. G. (2019a). Cognitive reflection and the 2016 US Presidential election. Personality and Social Psychology Bulletin, 45(2), 224-239.

  • Pennycook, G., & Rand, D. G. (2019b). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, 188, 39-50.

  • Steiner, T. (2015). Under the macroscope: Convergence in the US television market between 2000 and 2014. Image, (22), 4-21.

  • U. S. Senate Intelligence Committee. (2016). On Russian active measures campaigns and interference in 2016 U. S. Election: Russia’s use of social media with additional views. https://www.intelligence.senate.gov/sites/default/files/documents/Report_Volume2.pdf 

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