Join the Program on Democracy and the Internet (PDI) and moderator Nate Persily, in conversation with Aleksandra Kuczerawy for European Developments in Internet Regulation.

This session is part of the Fall Seminar Series, a months-long series designed to bring researchers, policy makers, scholars and industry professionals together to share research, findings and trends in the cyber policy space. Both in-person (Stanford affiliation only) and virtual attendance (open to public) is available; registration is required.

Aleksandra Kuczerawy is a postdoctoral scholar at the Program on Platform Regulation and has been a postdoctoral researcher at KU Leuven’s Centre for IT & IP Law and is assistant editor of the International Encyclopedia of Law (IEL) – Cyber Law. She has worked on the topics of privacy and data protection, media law, and the liability of Internet intermediaries since 2010 (projects PrimeLife, Experimedia, REVEAL). In 2017 she participated in the works of the Committee of experts on Internet Intermediaries (MSI-NET) at the Council of Europe, responsible for drafting a recommendation by the Committee of Ministers on the roles and responsibilties of internet intermediaries and a study on Algorithms and Human Rights.

Join the Program on Democracy and the Internet (PDI) and moderator Nate Persily, in conversation with Chenyan Jia for The Evolving Role of AI In Political News Consumption: The Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation.

This session is part of the Fall Seminar Series, a months-long series designed to bring researchers, policy makers, scholars and industry professionals together to share research, findings and trends in the cyber policy space. Both in-person (Stanford affiliation only) and virtual attendance (open to the public) is available; registration is required.

Chenyan Jia (Ph.D., The University of Texas at Austin) is a postdoctoral scholar in The Program on Democracy and the Internet (PDI) at Stanford University. In 2023 Fall, she will be joining Northeastern University as an Assistant Professor in the School of Journalism in the College of Arts, Media, and Design with a joint appointment in the Khoury College of Computer Sciences. She has been working as a research assistant for UT's Human–AI Interaction Lab.

Her research interests lie at the intersection of communication and human-computer interaction. Her work has examined (a) the influence of emerging media technologies such as automated journalism and misinformation detection algorithms on people’s political attitudes and news consumption behaviors; (b) the political bias in news coverage through NLP techniques; (c) how to leverage AI technologies to reduce bias and promote democracy.

Her research has appeared in mass communication journals and top-tier AI and HCI venues including Human-Computer Interaction Journal (CSCW), Journal of Artificial Intelligence, International Journal of Communication, Media and Communication, ICLR, ICWSM, EMNLP, ACL, and AAAI. Her research has been awarded the Best Paper Award at AAAI 21. She was the recipient of the Harrington Dissertation Fellowship and the Dallas Morning News Graduate Fellowship for Journalism Innovation.

Join the Program on Democracy and the Internet (PDI) and moderator Nate Persily, in conversation with Meicen Sun for Internet Control as A Winning Strategy: How the Duality of Information Consolidates Autocratic Rule in the Digital Age.

This paper advances a new theory on how the Internet as a digital technology helps consolidate autocratic rule. Exploiting a major Internet control shock in China in 2014, this paper finds that Chinese data-intensive firms have gained from Internet control a 10% increase in revenue over other Chinese firms, and about 1-2% over their U.S. competitors. Meanwhile, the same Internet control has incurred an up to 25% reduction in research quality for Chinese scholars conditional on the knowledge-intensity of their discipline. This occurred specifically via a reduction in the access to cutting-edge knowledge from the outside world. These findings suggest that while politically motivated information flow restrictions do take a toll on the country’s long-term capacity for innovation, they lend a short-term benefit to its data-intensive sectors. Conventional wisdom on the inherent limit to information control by autocracies overlooks this crucial protectionist benefit that aids in autocratic power consolidation in the digital age. 

This session is part of the Fall Seminar Series, a months-long series designed to bring researchers, policy makers, scholars and industry professionals together to share research, findings and trends in the cyber policy space. Both in-person and virtual attendance is available; registration is required.

Meicen Sun is a postdoctoral scholar with the Program on Democracy and the Internet at Stanford University. Her research examines the political economy of information and the effect of information policy on the future of innovation and state power. Her writings have appeared in academic and policy outlets including Foreign Policy Analysis, Harvard Business Review, World Economic Forum, the Asian Development Bank Institute, and The Diplomat among others. She had previously conducted research at the Center for Strategic and International Studies and at Georgetown University in Washington, DC, and at the UN Regional Centre for Peace and Disarmament in Africa. Bilingual in English and Chinese, she has also written stories, plays, and music and staged many of her works -- in both languages -- in China, Singapore and the U.S. Sun has served as a Fellow on the World Economic Forum's Global Future Council on China and as a Research Affiliate with the MIT Initiative on the Digital Economy. She holds an A.B. with Honors from Princeton University, an A.M. with a Certificate in Law from the University of Pennsylvania, and a Ph.D from the Massachusetts Institute of Technology.

Join the Program on Democracy and the Internet (PDI) and moderator Nate Persily, in conversation with Rasmus Kleis Nielsen, Director of the Reuters Institute for the Study of Journalism and Professor of Political Communication at the University of Oxford, for a look at how platforms shape the media and society.
 
Based on analysis of the relations between platform companies including Google and Meta, and news publishers in France, Germany, the UK, and the US, the session will explore key aspects of the “platform power” a few technology companies have come to exercise in public life, the reservations news publishers have about platforms—and the reasons why they often embrace them anyway.
 
This session is part of the Fall Seminar Series, a months-long series designed to bring researchers, policy makers, scholars and industry professionals together to share research, findings and trends in the cyber policy space. Both in-person and virtual attendance is available; registration is required.

Rasmus Kleis Nielsen is Director of the Reuters Institute for the Study of Journalism and Professor of Political Communication at the University of Oxford. He was previously Director of Research at the Reuters Institute and Editor-in-Chief of the International Journal of Press/Politics.

His work focuses on changes in the news media, on political communication, and the role of digital technologies in both. He has done extensive research on journalism, American politics, and various forms of activism, and a significant amount of comparative work in Western Europe and beyond.

Join the Program on Democracy and the Internet (PDI) and moderator Nate Persily, in conversation with Dr. Joan Donovan, Research Director of the Shorenstein Center on Media, Politics and Public Policy, and Emily Dreyfuss, a journalist who covers the impact of technology on society, with a focus on social media and information systems.

Memes have long been dismissed as inside jokes with no political importance. Nothing could be further from the truth. Memes are bedrock to the strategy of conspiracists such as Alex Jones, provocateurs like Milo Yiannopoulos, white nationalists like Nick Fuentes, and tacticians like Roger Stone. While the media and most politicians struggle to harness the organizing power of the internet, the “redpill right” weaponizes memes, pushing conspiracy theories and disinformation into the mainstream to drag people down the rabbit hole. These meme wars stir strong emotions, deepen partisanship, and get people off their keyboards and into the streets--and the steps of the US Capitol. 

Meme Wars is the first major account of how “Stop the Steal” went from online to real life, from the wires to the weeds. Leading media expert Joan Donovan, PhD, veteran tech journalist Emily Dreyfuss, and cultural ethnographer Brian Friedberg pull back the curtain on the digital war rooms in which a vast collection of antiesablishmentarians bond over hatred of liberal government and media. Together as a motley reactionary army, they use memes and social media to seek out new recruits, spread ideologies, and remake America according to their desires.

This session is part of the Fall Seminar Series, a months-long series designed to bring researchers, policy makers, scholars and industry professionals together to share research, findings and trends in the cyber policy space. Both in-person and virtual attendance is available; registration is required.

Dr. Joan Donovan is the Research Director of the Shorenstein Center on Media, Politics and Public Policy. Dr. Donovan leads the field in examining internet and technology studies, online extremism, media manipulation, and disinformation campaigns.

Dr. Donovan leads The Technology and Social Change Project (TaSC). TaSC explores how media manipulation is a means to control public conversation, derail democracy, and disrupt society. TaSC conducts research, develops methods, and facilitates workshops for journalists, policy makers, technologists, and civil society organizations on how to detect, document, and debunk media manipulation campaigns.

Emily Dreyfuss is a journalist who covers the impact of technology on society, with a focus on social media and information systems. She is the senior editor of the Technology and Social Change (TaSC) team and the co-lead of the Harvard Shorenstein Center News Leaders summit. Emily got her start in journalism as a local newspaper reporter, then as an editor at an alt-weekly, before entering the tech reporting fray as an editor at CNET. She was a senior writer and editor at WIRED for many years and most recently helped launch the tech news site Protocol. As a 2017-2018 Harvard Nieman Berkman Klein fellow, Emily studied ephemerality and the internet. She is interested in how technology accelerates change.

Join the Program on Democracy and the Internet (PDI) and moderator Nate Persily, for the next seminar in the Fall Seminar Series, Echo Chambers, Rabbit Holes, and Algorithmic Bias: How YouTube Recommends Content to Real Users with Joshua Tucker, Professor of Politics, Director of the Jordan Center for the Advanced Study of Russia, Co-Director of New York University's Center for Social Media and Politics(CSMaP), Affiliated Professor of Russian and Slavic Studies, and Affiliated Professor of Data Science.

To what extent does the YouTube recommendation algorithm push users into echo chambers, ideologically biased content, or rabbit holes? Despite growing popular concern, recent work suggests that the recommendation algorithm is not pushing users into these echo chambers. However, existing research relies heavily on the use of anonymous data collection that does not account for the personalized nature of the recommendation algorithm. We asked a sample of real users to install a browser extension that downloaded the list of videos they were recommended. We instructed these users to start on an assigned video and then click through 20 sets of recommendations, capturing what they were being shown in real time as they used the platform logged into their real accounts. Using a novel method to estimate the ideology of a YouTube video, we demonstrate that the YouTube recommendation algorithm does, in fact, push real users into mild ideological echo chambers where, by the end of the data collection task, liberals and conservatives received different distributions of recommendations from each other, though this difference is small. While we find evidence that this difference increases the longer the user followed the recommendation algorithm, we do not find evidence that many go down `rabbit holes' that lead them to ideologically extreme content. Finally, we find that YouTube pushes all users, regardless of ideology, towards moderately conservative and an increasingly narrow range of ideological content the longer they follow YouTube's recommendations.

This session is part of the Fall Seminar Series, a months-long series from the Program on Democracy and the Internet, designed to bring researchers, policy makers, scholars and industry professionals together to share research, findings and trends in the cyber policy space. Both in-person and virtual attendance is available; registration is required. Lunch will be provided for in-person attendees. 

About the Speaker:

Joshua A. Tucker is Professor of Politics, an affiliated Professor of Russian and Slavic Studies, and an affiliated Professor of Data Science at New York University.  He is the Director of NYU’s Jordan Center for Advanced Study of Russia. He is one of the co-founders and co-Directors of the NYU  Center for Social Media and Politics (CSMaP) and the Social Media and Political Participation (SMaPP) laboratory.