Speaker:

Yingdan Lu, Assistant Professor, Department of Communication Studies, Northwestern University

Title:

The Evolution of Authoritarian Propaganda in the Digital Age

Abstract:

How can authoritarian governments capture public attention in the digital era? This research talk explores the transformed landscape of information control in authoritarian regimes, which face the dual challenges of audience fragmentation across diverse media channels and heightened competition with non-governmental actors for public attention. In this talk, I will present two fundamental shifts that illustrate the evolution of authoritarian propaganda in the digital age. First, I theorize a decentralized model for producing and disseminating propaganda on social media and identify evidence of this model in China through a computational analysis of nearly five million videos from Douyin (Chinese TikTok). Second, I discuss how authoritarian regimes have been harnessing entertainment media platforms and influential actors to amplify the visibility of state-created content, with empirical evidence from China. Together, these studies contribute to our understanding of how digital technologies are changing not only the content of propaganda, but also the way in which propaganda materials are produced and disseminated.

Speaker Bio:

Yingdan Lu is an Assistant Professor in the Department of Communication Studies at Northwestern University, and co-director of the Computational Multimodal Communication Lab. Her research focuses on digital technology, political communication, and information manipulation. She uses computational and qualitative methods to understand the evolution and engagement of digital propaganda in authoritarian regimes and how individuals encounter and communicate multimodal (mis)information in AI-mediated environments. Her work has appeared in leading peer-reviewed journals across communication, political science, and human-computer interaction. Before joining Northwestern, Yingdan received her Ph.D. in Communication and a Ph.D. minor in Political Science from Stanford University.

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/92346340083
Passcode: NICO24

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

Related Info

Speaker:

Guy Aridor, Assistant Professor of Marketing, Kellogg School of Management, Northwestern University

Title:

The Value of Belief Data in Online Recommendation Systems

Abstract:

Designing algorithmic recommendation systems on online platforms is simultaneously a data collection and an algorithmic problem, though most work has focused on the algorithmic aspects. In this talk, I’ll describe several recent papers that show the value of collecting data not just on consumption behavior, but also on pre-consumption attitudes — what consumers think about items they have not consumed. I’ll discuss how an economic model of user consumption choices in environments that incorporates these attitudes can rationalize empirical consumption patterns on a movie recommendation platform, MovieLens. We then test the assumptions of and the hypotheses generated by this model in a field experiment on MovieLens that collects such belief data in order to decompose the mechanisms that drive the effectiveness of recommendations. Finally, I’ll discuss a practical procedure and a resulting open-source dataset collected via this procedure that we implement on the MovieLens platform that allows for the collection of such data at scale that can enable the incorporation of such data into the design of recommendation systems.

Speaker Bio:

Guy Aridor is an Assistant Professor of Marketing at Northwestern Kellogg School of Management and a research affiliate at CESifo. His research employs tools from economics and quantitative marketing to investigate policy and antitrust issues in the digital economy, as well as the effects of new technologies on consumer behavior. He has a particular interest in consumer privacy, recommendation systems, and social media platforms. He holds a PhD in economics from Columbia University and a BA in pure/applied mathematics, computer science, and economics from Boston University.

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/99906995637
Passcode: NICO24

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

Related Info

NOVEMBER MEETING: Tuesday, November 26, 2024 at 5:20pm (US Central)

LOCATION:
In person: Chambers Hall, Lower Level
600 Foster Steet, Evanston Campus

AGENDA:
TBA

SPEAKERS:
TBA

DATA SCIENCE NIGHTS are monthly talks on data science techniques or applications, organized by Northwestern University graduate students and scholars. Aspiring, beginning, and advanced data scientists are welcome! For more information: http://bit.ly/nico-dsn

Related Info