When Data Meets Disinformation (Public Keynote Lecture Summer School ‘Data in Democracy’)
- Andrew Guess (Princeton University)
- Wednesday 4 July 2018
Pieter de la Court
2333 AK Leiden
Studying online misinformation
Who gets exposed to online misinformation, and how? Who shares it? What kinds of responses are effective in reducing misperceptions? Andrew Guess will discuss his approach to research on these questions—a combination of large datasets, machine learning, and online experiments—and share thoughts on how the data science toolbox can help us understand the effects of technological developments on our social world.
About the speaker
Andrew Guess is an assistant professor of politics and public affairs at Princeton University. His research sits at the intersection of political communication, public opinion, and political behaviour. His current or recent projects investigate online selective exposure, how to accurately measure media exposure on the internet, the dynamics of interest group mobilization over Twitter, and the persuasive effect of new information on individuals’ attitudes and beliefs.
Although this lecture is part of the Data in Democracy Summer School, all interested students and staff are welcome.