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CITP Seminar: The Social Production of “Accurate” Personal Financial Data

Date and Time
Tuesday, March 21, 2023 - 12:30pm to 1:30pm
Location
Sherrerd Hall 306
Type
CITP
Speaker
Jordan Brensinger, from Columbia University

Jordan Brensinger
In the United States, financial institutions leverage personal data for countless decisions impacting individual wellbeing, ranging from managing access to existing accounts to deciding who to offer credit and on what terms. The legitimacy, and arguably the efficacy, of those decision-making processes therefore hinges partly on the accuracy of the underlying personal data. But what does it mean for personal financial data to be “accurate?” Technical and legal definitions often define data accuracy as an objective quality of the information—it either reflects the correct value, or it does not—thereby merely replacing accuracy with other ambiguous terms like correctness. We are left with the questions: what counts as “correct,” and how are such determinations made? In this paper, a phenomenological account of data accuracy is offered.

Drawing on an original qualitative study of identity theft resolution—including (1) over a hundred interviews with victims and organizational personnel, (2) observations in financial industry and nonprofit advocacy settings, and (3) analysis of organizational and legal documents—it is argued that “accurate” personal financial data is the product of a sociotechnical process of negotiation between potentially conflicting subjectivities. Yet the law empowers financial institutions to adjudicate these disputes with consumers, tilting the negotiation table against the latter in ways that often reinforce existing marginalities. Disputes thus serve to alert institutions to potential gaps between data and data subjects without fundamentally challenging their financial interest—thereby shoring up the legitimacy, if not always the efficacy, of consumer surveillance.

Bio: Harnessing qualitative and quantitative methods, Jordan Brensinger’s research primarily explores how organizations uniquely identify people and the social, economic, and policy implications of those processes.

In his dissertation, Brensinger investigated consumer identification through a multi-site, multi-method study of financial identity theft—including interviews with victims and professionals; observations at industry events, a nonprofit call center, and the fraud department of a large credit union; and analysis of organizational and policy documents. By juxtaposing organizational expertise and techniques with consumer accounts of data disputes, his dissertation documented the sociotechnical work that goes into constructing “accurate” personal data and consumer identities while revealing how personal data generates new forms of labor and insecurity for the public as they go about their everyday lives. Insights from this project have been presented at conferences like the Annual Meeting of the American Sociological Association (ASA), the Privacy Law Scholars Conference (PLSC), and the Society for the Advancement of Socio Economics (SASE), as well as published in Sociological Theory.

Brensinger’s work leverages partnerships with public, private, and non-profit organizations—including federal agencies, financial institutions, and legal aid offices—to generate compelling questions, amplify on-the-ground expertise, and produce actionable insights. These partnerships have so far produced internal reports, presentations to practitioner groups, and a coauthored thought leadership piece on data justice.

Brensinger completed his Ph.D. in sociology from Columbia University, where he also earned Master’s degrees in sociology and urban and social policy. His intellectual outlook and commitment to seeking a more just and equitable world also derive from extensive experience living, working, and learning on five continents.


To request accommodations for a disability please contact Jean Butcher, butcher@princeton.edu, at least one week prior to the event.

This seminar will not be recorded.

Watch the webinar here.

CITP Distinguished Lecture Series: Who Benefits from the Data Economy?

Date and Time
Wednesday, March 1, 2023 - 4:30pm to 6:00pm
Location
Friend Center Convocation Room
Type
CITP
Speaker
Alessandro Acquisti, from Carnegie Mellon University

Please register here to attend in person.


In collaboration with the Department of Computer Science and the Department of Electrical and Computer Engineering

Alessandro Acquisti
In the public debate around privacy and the data economy, several claims have been made concerning the benefits that multiple stakeholders may accrue from the collection and analysis of consumer data. How many of those claims are empirically validated by independent research? We will review prior work and present a series of ongoing studies that aim at understanding and estimating how the economic value extracted from consumer data is being allocated to different stakeholders, and the way privacy protection may influence those allocations.

Bio: Alessandro Acquisti is the Trustees Professor of Information Technology and Public Policy at the Heinz College, Carnegie Mellon University. He is an Andrew Carnegie Fellow (inaugural class), the director of the PeeX (Privacy Economics Experiments) lab at CMU, a member of the steering committee of CMU’s Center for Behavioral and Decision Research (CBDR), and the Faculty Chair of the Heinz College’s Master of Science in Information Security Policy & Management (MISPM) program. He is the current Chair of CMU Institutional Review Board (IRB). Previously, for four years he was the Faculty Director of the CMU Digital Transformation and Innovation Center sponsored by PwC (where he managed a multi-million dollar budget to fund CMU research in areas including analytics, security, and public policy), and the PwC William W. Cooper Professor of Risk and Regulatory Innovation. He has been a member of the Board of Regents of the U.S. National Library of Medicine (NLM), and a member of the U.S. National Academies’ Committee on public response to alerts and warnings using social media.

Acquisti investigates the economics and behavioral economics of privacy and personal data. While completing his Ph.D. thesis at UC Berkeley, he started contributing to the revival of the research on the economics of privacy. Upon joining Carnegie Mellon, he spearheaded the application of behavioral economics to the study of privacy and security decision making, and the investigation of privacy and disclosure behavior in online social media through the mining and analysis of public profile data. His research in these fields has kept evolving, including the investigation of nudging and behavioral interventions in the privacy domain, the study of value creation and surplus allocation in the data economy, and the examination of the economic impact of novel privacy-preserving analytics. He has published and disseminated interdisciplinary research in leading journals across diverse fields (including Science, Proceedings of the National Academy of Science, Management Science, Journal of Economic Literature, Journal of Consumer Research, Journal of Marketing Research, Marketing Science, Information Systems Research, ACM Transactions, and so forth), as well as through conference proceedings (including USENIX, CHI, CSCW, ACM EC, PETS, SOUPS, and so forth), edited books, and numerous keynotes.

Acquisti has been the recipient of the PET Award for Outstanding Research in Privacy Enhancing Technologies, the IBM Best Academic Privacy Faculty Award, the IEEE Cybersecurity Award for Innovation, the Heinz College School of Information’s Teaching Excellence Award, and numerous Best Paper awards (including best papers awards across journals in the information technology and information systems fields such as Management Science, MISQ, and Information Systems Research). He has held editorial positions across several journals and conference committees, including Information Systems Research (Senior Editor) and Management Science (Associate Editor). His research has been supported by grants from the National Science Foundation, the MacArthur Foundation, the Sloan Foundation, DARPA, the Department of Homeland Security, the National Security Agency, the Transcoop Foundation, Microsoft, and Google. Security education research and tools he developed with colleagues at Carnegie Mellon University were deployed in the CMU start-up Wombat Security Technologies, Inc, which was later acquired by Proofpoint.

He has testified before the U.S. Senate and House committees on issues related to privacy policy and consumer behavior, and has been frequently invited to consult on privacy policy issues by government bodies including the White House’s Office of Science and Technology Policy (OSTP) and the Council of Economic Advisers (CEA), the Federal Trade Commission (FTC), and the National Telecommunications and Information Administration (NTIA), and the European Commission.

Acquisti’s findings have been featured in national and international media outlets, including the Economist, the New Yorker, the New York Times and New York Times Magazine, the Wall Street Journal, the Washington Post, the Financial Times, Wired.com, NPR, CNN, and 60 Minutes. His TED talks on privacy and human behavior have been viewed online over 1.5 million times. His 2009 study on the predictability of Social Security numbers was featured in the “Year in Ideas” issue of the NYT Magazine (the SSNs assignment scheme was changed by the US Social Security Administration in 2011). Connecting his research and musical interests, Alessandro has collaborated as technologist on an interactive musical opera on privacy and surveillance inspired by his own research on social media, face recognition, and inference of sensitive information from public data. The opera, titled “Looking at You,” premiered at New York West Village’s HERE in 2019, and was recently awarded a grant by the Sloan Foundation to go on tour across the United States in 2023.

He holds a Ph.D. from UC Berkeley, and Master’s degrees from UC Berkeley, the London School of Economics, and Trinity College Dublin. He has held visiting positions at the Universities of Rome, Paris, and Freiburg (visiting professor); Harvard University (visiting scholar); University of Chicago (visiting fellow); Microsoft Research (visiting researcher); and Google (visiting scientist).


To request accommodations for a disability please contact Jean Butcher, butcher@princeton.edu, at least one week prior to the event.

The video will be posted to the CITP website, the CITP YouTube channel and the Princeton University Media Central channel.

The livestream will be available here: https://mediacentrallive.princeton.edu/

CITP Seminar: Difficult Conversations Online-Two Empirical Studies and a Design Experiment

Date and Time
Tuesday, February 28, 2023 - 12:30pm to 1:30pm
Location
Sherrerd Hall 306
Type
CITP
Speaker
Amy Bruckman, from Georgia Institute of Technology

Amy Bruckman
Does conversation online often lead to deeper understanding of important issues? In this talk, research will be presented in the School of Interactive Computing at Georgia Tech about understanding and supporting online discussion of difficult issues. In the first study, we interviewed people who had disagreements with others on Facebook. We find that conflict often results not from disagreement but from violation of expectations. Design recommendations for social media platforms will be presented that could help mitigate disagreements, and ideas to help people have productive, hard conversations.

In the second study, we interviewed people who discuss guns and gun policy on Reddit, from both a pro- and anti- gun perspective. We find that members of pro- and anti- gun groups rarely interact. However, many people who post to highly partisan groups admit to actually holding more moderate views on some issues. Unfortunately, they would not feel comfortable posting about moderate views for fear of displeasing their partisan friends. Ways that the design of social media impacts our ability to have civil conversations across political difference will be explored.

Finally, to better understand difficult conversations online, we created a new subreddit for civil, bipartisan discussion of gun issues, r/gunInsights. How this design experiment sheds light on what is hard about civil communication about societal issues will be explained.

Bio: Amy Bruckman is Regents’ Professor and Senior Associate Chair in the School of Interactive Computing at the Georgia Institute of Technology. Her research focuses on social computing with interests in online collaboration, understanding across differences, and content moderation. Bruckman received her Ph.D. from the MIT Media Lab in 1997, and a B.A. in physics from Harvard University in 1987. She is a Fellow of The ACM and a member of the SIGCHI Academy. She is the author of the book “Should You Believe Wikipedia? Online Communities and the Construction of Knowledge” (2022).


To request accommodations for a disability please contact Jean Butcher, butcher@princeton.edu, at least one week prior to the event.

This seminar will be recorded and posted to the CITP website, CITP YouTube channel and Princeton University’s Media Central channel.

Click here to watch the webinar.

CITP Distinguished Lecture Series: Designing Usable and Useful Privacy Choice Interfaces

Date and Time
Thursday, March 30, 2023 - 4:30pm to 6:00pm
Location
Computer Science Small Auditorium (Room 105)
Type
CITP
Speaker
Lorrie Faith Cranor, from Carnegie Mellon University

Please register here to attend in person.


Lorrie Faith Cranor
Users who wish to exercise privacy rights or make privacy choices must often rely on website or app user interfaces. However, too often, these user interfaces suffer from usability deficiencies ranging from being difficult to find, hard to understand, or time-consuming to use, to being deceptive and dangerously misleading. This talk will discuss user-centric approaches to designing and evaluating privacy interfaces that better meet user needs and reduce the overwhelming number of privacy choices. A privacy choice mechanism evaluation framework will be presented and several examples of privacy interface design and evaluation from my research, including more usable cookie consent banners, mobile app privacy nutrition labels, IoT privacy and security labels, and a privacy options icon for the State of California.

Bio: Lorrie Faith Cranor is a professor of Computer Science and of Engineering and Public Policy at Carnegie Mellon University where she is director of the CyLab Usable Privacy and Security Laboratory (CUPS) and co-director of the MSIT-Privacy Engineering masters program. In 2016 she served as Chief Technologist at the US Federal Trade Commission, working in the office of Chairwoman Ramirez. She is also a co-founder of Wombat Security Technologies, Inc, a security awareness training company. She has authored over 150 research papers on online privacy, usable security, and other topics.

She has played a key role in building the usable privacy and security research community, having co-edited the seminal book Security and Usability (O’Reilly 2005) and founded the Symposium On Usable Privacy and Security (SOUPS). She also chaired the Platform for Privacy Preferences Project (P3P) Specification Working Group at the W3C and authored the book Web Privacy with P3P (O’Reilly 2002). She has served on a number of boards, including the Foundation Board of Directors, and on the editorial boards of several journals. In her younger days she was honored as one of the top 100 innovators 35 or younger by Technology Review magazine. More recently she was named an ACM Fellow for her contributions to usable privacy and security research and education, and an IEEE Fellow for her contributions to privacy engineering. She was previously a researcher at AT&T-Labs Research and taught in the Stern School of Business at New York University.

She holds a doctorate in Engineering and Policy from Washington University in St. Louis. In 2012-13 she spent her sabbatical as a fellow in the Frank-Ratchye STUDIO for Creative Inquiry at Carnegie Mellon University where she worked on fiber arts projects that combined her interests in privacy and security, quilting, computers, and technology. She practices yoga, plays soccer, and runs after her three children.


Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

To request accommodations for a disability please contact Jean Butcher, butcher@princeton.edu, at least one week prior to the event.

This seminar will be livestreamed, recorded and posted to the CITP website, CITP YouTube channel and Princeton University’s Media Central channel.

The livestream will be available here: https://mediacentrallive.princeton.edu/

CITP Distinguished Lecture Series: Scaling Arbitrum, from Lab to Product

Date and Time
Wednesday, March 8, 2023 - 4:30pm to 6:00pm
Location
Computer Science Small Auditorium (Room 105)
Type
CITP
Speaker
Ed Felten, from Offchain Labs, Inc.

Please register here to attend in person.


Ed Felten
The Arbitrum blockchain protocol started as a Princeton University research project, and has grown into a robust community hosting hundreds of applications and over 600,000 monthly users. Along the way, the system has evolved through at least three generations to meet the needs of developers and users. This talk will provide a technical description of how Arbitrum works, as an example of a modern blockchain protocol, along with a perspective on the history and future of blockchain technology.

Bio: Ed Felten is the co-founder and chief scientist at Offchain Labs, Inc. He is the Robert E. Kahn Professor Emeritus of Computer Science and Public Affairs and the Founding Director of the Center for Information Technology Policy.

Felten officially retired from Princeton University and transferred to emeritus status on July 1, 2021 after 28 years on the faculty of computer science and the Princeton School of Public and International Affairs (SPIA). He founded CITP and led it for 13 years (apart from two federal government posts) before handing off his leadership role.


Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

To request accommodations for a disability please contact Jean Butcher, butcher@princeton.edu, at least one week prior to the event.

This seminar will be livestreamed, recorded and posted to the CITP website, CITP YouTube channel and Princeton University’s Media Central channel.

The livestream will be available here: https://mediacentrallive.princeton.edu/

CITP Distinguished Lecture Series: Mitigating Technology Abuse in Intimate Partner Violence and Encrypted Messaging

Date and Time
Wednesday, February 22, 2023 - 4:30pm to 6:00pm
Location
Friend Center Convocation Room
Type
CITP
Speaker
Thomas Ristenpart, from Cornell Tech

Please register here to attend in person.


Thomas Ristenpart
Computer security is traditionally about the protection of technology, whereas trust and safety efforts focus on preventing technology abuse from harming people. In this talk, we’ll explore the interplay between security and tech abuse, and make the case that trust and safety represents an important frontier for computer security researchers. To do so, we will draw on examples from two lines of my recent work.

First, an overview our work on technology abuse in the context of intimate partner violence (IPV) will be presented. IPV is a widespread social ill affecting about one in four women and one in ten men at some point in their lives.  Via interviews with survivors and professionals, online measurement studies, and reverse engineering of malicious tools, our research has provided the most granular view to date of technology abuse in IPV contexts. This has helped educate our efforts on intervention design, most notably in the form of what we call clinical computer security: direct, expert assistance to help survivors navigate technology abuse.  Our work led to establishing the Clinic to End Tech Abuse, which has so far worked to help hundreds of survivors of IPV in New York City.

Second, we’ll discuss how basic security tools like encrypted messaging need to be adapted in light of tech abuse. Here we find a fundamental tension between the desire for messaging service providers to help moderate malicious content and the confidentiality goals of encryption, which prevent the platform from seeing content. How we end up reconceptualizing and redesigning basic cryptographic tools to more securely support abuse mitigation will be presented.

The talk will include content on abuse, including discussion of physical, sexual, and emotional violence.

Bio: Thomas Ristenpart is an associate professor at Cornell Tech and a member of the computer science department at Cornell University. Before joining Cornell Tech in May, 2015, he spent four and a half years as an assistant professor at the University of Wisconsin-Madison. He completed his Ph.D. at UC San Diego in 2010. His research spans a wide range of computer security topics, with recent focuses including digital privacy and safety in intimate partner violence, anti-abuse mitigations for encrypted messaging systems, improvements to authentication mechanisms including passwords, and topics in applied and theoretical cryptography.  His work is routinely featured in the media and has been recognized by a number of distinguished paper awards, two ACM CCS test-of-time awards, an Advocate of New York City award, an NSF CAREER Award, and a Sloan Research Fellowship.


Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

To request accommodations for a disability please contact Jean Butcher, butcher@princeton.edu, at least one week prior to the event.

The video will be posted to the CITP website, the CITP YouTube channel and the Princeton University Media Central channel.

The livestream will be available here: https://mediacentrallive.princeton.edu/

CITP Distinguished Lecture Series: – The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization

Date and Time
Wednesday, February 15, 2023 - 4:30pm to 6:00pm
Location
Friend Center Convocation Room
Type
CITP
Speaker
Jon Kleinberg, from Cornell University

Please register here to attend in person.


Jon Kleinberg
Online platforms have a wealth of data, run countless experiments and use industrial-scale algorithms to optimize user experience. Despite this, many users seem to regret the time they spend on these platforms. One possible explanation is that incentives are misaligned: platforms are not optimizing for user happiness. We suggest the problem runs deeper, transcending the specific incentives of any particular platform, and instead stems from a mistaken foundational assumption. To understand what users want, platforms look at what users do. This is a kind of revealed-preference assumption that is ubiquitous in user models. Yet research has demonstrated, and personal experience affirms, that we often make choices in the moment that are inconsistent with what we actually want: we can choose mindlessly or myopically, behaviors that feel entirely familiar on online platforms.

In this work, we develop a model of media consumption where users have inconsistent preferences. We consider what happens when a platform that simply wants to maximize user utility is only able to observe behavioral data in the form of user engagement. Our framework is based on a stochastic model of user behavior, in which users are guided by two conflicting sets of preferences — one that operates impulsively in the moment, and the other of which makes plans over longer time-scales. By linking the behavior of this model to abstractions of platform design choices, we can develop a theoretical framework and vocabulary in which to explore interactions between design, behavioral science, and social media.

The talk is based on joint work with Sendhil Mullainathan and Manish Raghavan.

Bio: Jon Kleinberg is the Tisch University Professor in the Departments of Computer Science and Information Science at Cornell University. His research focuses on the interaction of algorithms and networks, the roles they play in large-scale social and information systems, and their broader societal implications. He is a member of the National Academy of Sciences and National Academy of Engineering, and serves on the National AI Advisory Committee. He has received MacArthur, Packard, Simons, Sloan, and Vannevar Bush research fellowships, as well awards including the Harvey Prize, the Nevanlinna Prize, and the ACM Prize in Computing.


Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

To request accommodations for a disability please contact Jean Butcher, butcher@princeton.edu, at least one week prior to the event. This seminar will be livestreamed, recorded and posted to the CITP website, CITP YouTube channel and Princeton University’s Media Central channel.

The livestream will be available here: https://mediacentrallive.princeton.edu/

CITP Seminar: It Takes Two to Tango: Cooperative Edge-to-Edge Routing

Date and Time
Tuesday, February 7, 2023 - 12:30pm to 1:30pm
Location
Sherrerd Hall 306
Type
CITP
Speaker
Maria Apostolaki, from Princeton University

Maria Apostolaki
In their unrelenting quest for lower latency, cloud providers are deploying servers closer to their customers and enterprises are adopting paid Network-as-a-Service (NaaS) offerings with performance guarantees. Unfortunately, these trends contribute to greater industry consolidation, benefiting larger companies and well-served regions while leaving little room for smaller cloud providers and enterprises to flourish. Instead, we argue that the public Internet could offer good enough performance if only edge networks could control wide-area routing.

More concretely, we envision an incrementally deployable system, namely Tango, that allows individual pairs of edge networks (e.g., access, enterprise, and data-center networks) to optimize Internet paths between them without collaboration from the Internet core. Tango relies on the cooperation between the two edge networks to expose more wide-area paths, and achieve accurate and trustworthy monitoring. Tango has the potential to fight the industry consolidation and the associated privacy, financial, and political risks.

Bio: Maria Apostolaki joined Princeton University as an Assistant Professor of Electrical and Computer Engineering in August 2022. She is associated with the CS Department, CITP and DeCenter. Her research draws from networking, security, blockchain, and machine learning. Overall, her goal is to design and build networked systems that are secure, reliable and performant.


To request accommodations for a disability please contact Jean Butcher, butcher@princeton.edu, at least one week prior to the event.

This seminar will be recorded and posted to the CITP website, CITP YouTube channel and Princeton University’s Media Central channel.

Click here to watch the webinar. https://princeton.zoom.us/j/99294641670

CITP Seminar: Human Bias and Social Algorithms

Date and Time
Tuesday, January 31, 2023 - 12:30pm to 1:30pm
Location
Sherrerd Hall 306
Type
CITP
Speaker
Diag Davenport, from Princeton University, School of Public and International Affairs

Diag Davenport
While the failures of industrial-scale algorithms are often attributed to some failure of machine learning engineering, many of these failures actually stem from something else entirely: the human beings whose behavior generates the data used to build these algorithms. So the solutions to these algorithmic problems are as likely to require tools from behavioral economics as from computer science. For example, research shows that prejudice can arise not just from preferences and beliefs, but also from the way people choose. When people behave automatically, biases creep in: quick, snap decisions are typically more prejudiced than slow, deliberate ones, and can lead to behaviors that users themselves do not want or intend. As a result, algorithms trained on automatic behaviors can misunderstand the prejudice of users: the more automatic the behavior, the greater the error.

We empirically test these ideas in a fully controlled randomized lab experiment, and find that more automatic behavior does indeed lead to more biased algorithms. We also explore the potential economic consequences of this idea by carrying out algorithmic audits of Facebook in its two biggest markets, the US and India, focusing on two algorithms that differ in how users engage with them: News Feed (people interact with friends’ posts fairly automatically) and People You May Know (people choose friends fairly deliberately). We find significant outgroup bias in the News Feed algorithm (e.g., whites are less likely to be shown Black friends’ posts, and Muslims less likely to be shown Hindu friends’ posts), but no detectable bias with the PYMK algorithm. Together, these results suggest a need to rethink how large-scale algorithms use data on human behavior, especially in online contexts where so much of the measured behaviors might be quite automatic.

Bio: Diag Davenport is a Presidential Postdoctoral Research Fellow at the Princeton School of Public and International Affairs, where he studies various topics at the intersection of big data and behavioral economics. Much of his research has been informed by his industry experience as an economic consultant for corporate litigation and as a data scientist at a variety of organizations, ranging from a small DC startup to the Board of Governors of the Federal Reserve. His research blends a variety of methods to understand the societal impacts of imperfect humans interacting with imperfect algorithms and imperfect institutions.

Before Princeton, Diag earned a Ph.D. in behavioral science from the University of Chicago, an MS in mathematics & statistics from Georgetown University, and bachelor’s degrees in economics and management from Penn State.


To request accommodations for a disability please contact Jean Butcher, butcher@princeton.edu, at least one week prior to the event.

This seminar will not be recorded.

Click here to watch the webinar

CITP Special Event: Bringing Transparency to Digital Political Campaigns, a Symposium at Princeton University

Date and Time
Friday, December 2, 2022 - 9:00am to 3:30pm
Location
Robertson Hall 016
Type
CITP

If you plan to attend in person, please register here.


With every election cycle, political campaigns become more and more reliant on online platforms to target voters. Yet, regulatory measures for campaigns have not kept pace with the rapid development of digital campaigning. The public is largely in the dark about the tactics campaigns use on platforms like TikTok, Google and Facebook to distribute their campaign messaging.

In this day-long symposium, we assemble experts to discuss what we know, what we don’t know, and what we should know about the extent of the influence online platforms have on elections.

We will discuss the strategies campaigns use to influence voters, including the use of internet influencers, and how we can develop mechanisms that promote democratic oversight of digital campaigns.

On the heels of the 2022 midterms, we seek to learn from recent elections and help us improve federal and state mechanisms for monitoring online campaigning in time for 2024.

Agenda

  • Session 1 (9 a.m. – 10:15 a.m.): Understanding the Evolving Use of Online Platform Tools in Shaping Campaign Strategies
    Moderator: Andy Guess
  • Session 2 (10:30 a.m. -11:45 a.m.): Addressing the Challenges of Monitoring Campaign Activities Online
    Moderator: Rebecca Weiss
  • Lunch and Keynote (Noon to 1 p.m.)
  • Session 3: (1 p.m. to 2:15 p.m.): Understanding the Potential Harms of Digital Campaigns
    Moderator: Jonathan Mayer
  • Session 4: (2:20 p.m. to 3:30 p.m.): Developing Regulatory Responses that Promote Oversight
    Moderator: Mihir Kshirsagar
  • Closing Reception 3:30 p.m. 

Those who cannot participate in person may watch via our livestream.

This event is co-hosted by the Center for Information Technology Policy (CITP) and the Center for the Study of Democratic Politics (CSDP). 

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