COPSS-NISS COVID-19 Data Science Webinar Series

[Please Note: This event has already occurred.  Go to the News Story to read about what happened and to access a recording and speaker slides.]

Misinformation and Attitude Formation Among the Canadian Public

About this Webinar Series

The COPSS-NISS COVID-19 Data Science webinar series is co-organized by the Committee of the Presidents of Statistical Societies (COPSS) and its five charter member societies (ASA, ENAR, IMS, SSC, and WNAR), as well as NISS.  This bi-weekly seminar features the latest research that is positioned on the cusp of new understanding and analysis of COVID-19 pandemic data, and promotes data-driven research and decision making to combat COVID-19. Find out more about this series and view all the previous sessions on the Webinar Series page.

Overview

Information about masks, social distancing, vaccinations must reach and inform the mass public to help mitigate the deadly consequences of the pandemic. However, we are operating in an increasingly complex, fractured, and siloed information ecosystem where messages often don’t reach or influence their target populations. Understanding where and how Canadians get their information and form opinions is therefore critical. Aengus Bridgman will present consolidated findings from 3 papers on the role that political elites and social media play in attitude formation. Come to learn about how politicians have responded to COVID-19, how social media has contributed to misperceptions, and see unpublished findings on the ways in which the infodemic has infected Canadians.

Participants

Speaker

Aengus Bridgman, McGill University

Aengus Bridgman is currently a research fellow at the Center for the Study of Democratic Citizenship and work with the Media Ecosystem Observatory. He is also affiliated with the Centre for Media Technology and Democracy, the Max Bell School for Public Policy and the Network Dynamics Lab.

Moderator / Session Organizer

Nathaniel Stevens, University of Waterloo

Register for this Event Here!

Organizing Committee

Xihong Lin (Chair) (IMS), Harvard University 
Karen Bandeen-Roche (NISS), Johns Hopkins University 
Chris Barker (ASA), Statistical Planning and Analysis Services, Inc
Gary Chan (WNAR), University of Washington 
Rob Deardon (SSC), University of Calgary 
Natalie Dean (COPSS), University of Florida
Debashree Ray (COPSS), Johns Hopkins University
Jie Peng (WNAR), University of California at Davis 
Nathaniel Stevens (SSC), University of Waterloo 
Elizabeth Stuart (ENAR), Johns Hopkins University 
Ryan Tibshirani (IMS), Carnegie Mellon University  
Lily Wang (ASA), Iowa State University 
Lingzhou Xue (NISS), Pennsylvania State University
Lili Zhao (ENAR), University of Michigan 
Glenn Johnson (Web Communications), NISS