Librarian
Librarian for History
Jason Schultz
He/him/his
Contact:
Office: 800FL Central Library
Zoom Office Hours Mondays: 1pm to 3pm
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Zoom Office Hours Mondays: 1pm to 3pm
(Click Blue Zoom Icon Below)
(615) 875-8311
Website
Six Questions to Ask
Here are six worthwhile questions from the American Press Institute to ask yourself about every news story or piece you come across:
- What kind of content is this?
- Who and what are the sources cited, and why should I believe them?
- What's the evidence, and how was it vetted?
- Is the main point of the piece proven by the evidence?
- What's missing?
- Am I learning every day what I need?
How to Identify Red Flags
Courtesy New York City School Library System
Other Resources
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4 Tips for Spotting a Fake News StoryFrom Harvard Summer School.
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How to Spot Fake NewsFrom digitaltrends.com.
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Fake News: How to Spot ItFrom Pratt Library.
Recent Academic Papers on Fake News
You can use settings to direct Google Scholar to create automatic alerts to retrieve new journal articles and papers that come out about fake news (or any other topic).
Find out more here.
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The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016"Fake news has an intricately entwined relationship with online partisan media, both responding and setting its issue agenda. In 2016, partisan media appeared to be especially susceptible to the agendas of fake news, perhaps due to the election." 2018. Chris Vargo et al., authors.
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How the Supply of Fake News Affected Consumer Behavior During the 2016 US Election"Producers of verifiably false news [are] effective at directing users to similar sites." 2018. Anil Doshi et al., authors.
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Lazy, Not Biased: Susceptibility to Partisan Fake News Is Better Explained by Lack of Reasoning than by Motivated Reasoning"Susceptibility to fake news is driven more by lazy thinking than it is by partisan bias per se – a finding that opens potential avenues for fighting fake news." 2018. Gordon Pennycook and David Rand, authors.
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Seeing through Misinformation: A Framework for Identifying Fake Online NewsDiagnostic framework "allows lay people to identify potential fake news without the use of calculators or complex statistics by looking out for three simple cues." 2018. Murphy Choy and Mark Chong, authors.
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Unsupervised Content-Based Identification of Fake News Articles with Tensor Decomposition Ensembles"How can we accurately distinguish different categories of false news, solely based on the content?" 2018. Seyedmehdi Hosseinimotlagh and Evangelos Papalexakis, authors.
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