#116 Matt Jackson on Social Learning and Game Theory
#116 Matt Jackson on Social Learning and Game Theory

#116 Matt Jackson on Social Learning and Game Theory

Nektunez

36 min
Success & Inspiration
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<p><span style="font-weight: 400;">The Cognitive Crucible is a forum that presents different perspectives and emerging thought leadership related to the information environment. The opinions expressed by guests are their own, and do not necessarily reflect the views of or endorsement by the Information Professionals Association.</span></p> <p><span style="font-weight: 400;">During this episode, Prof Matt Jackson of Stanford University discusses social learning, game theory, and an optimization methodology for minimizing the spread of disinformation. </span></p> <p><span style="font-weight: 400;">Research Question</span><span style="font-weight: 400;">: </span></p> <ul> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">There’s a difference between entertainment and becoming informed.  How do we produce systems which are both entertaining & informing?</span></li> </ul> <p><strong>Resources</strong><span style= "font-weight: 400;">:</span></p> <ul> <li style="font-weight: 400;" aria-level="1"><a href= "https://web.stanford.edu/~jacksonm/"><span style= "font-weight: 400;">Matt Jackson’s Stanford Web Page</span></a></li> <li style="font-weight: 400;" aria-level="1"><a href= "https://arxiv.org/pdf/1812.03354.pdf"><span style= "font-weight: 400;">Learning through the grapevine and the impact of the breadth and depth of social networks</span></a> <span style= "font-weight: 400;">by Matthew O. Jackson, Suraj Malladi, and David McAdams</span></li> <li style="font-weight: 400;" aria-level="1"><a href= "https://web.stanford.edu/~jacksonm/books.html#book2"><span style= "font-weight: 400;">The Human Network</span></a> <span style= "font-weight: 400;">by Matthew Jackson</span></li> <li style="font-weight: 400;" aria-level="1"><a href= "https://scholar.harvard.edu/files/shapiro/files/politext.pdf"><span style="font-weight: 400;"> Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech</span></a> <span style= "font-weight: 400;">by Matthew Gentzkow, Jesse

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