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08/23/2023
The Challenges of Machine Learning for Trust and Safety: A Case Study on Misinformation Detection
We examine the disconnect between scholarship and practice in applying m...
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04/28/2023
Account Verification on Social Media: User Perceptions and Paid Enrollment
We study the gap between user perceptions of social media verification i...
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03/07/2023
SoK: Content Moderation for End-to-End Encryption
Popular messaging applications now enable end-to-end-encryption (E2EE) b...
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11/04/2022
Rally and WebScience: A Platform and Toolkit for Browser-Based Research on Technology and Society Problems
Empirical technology and society research is in a methodological crisis....
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10/20/2022
Self-Censorship Under Law: A Case Study of The Hong Kong National Security Law
We study how aggressive legislation can increase self-censorship and alt...
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01/13/2021
What Makes a Dark Pattern... Dark? Design Attributes, Normative Considerations, and Measurement Methods
There is a rapidly growing literature on dark patterns, user interface d...
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08/25/2020
Adapting Security Warnings to Counter Online Disinformation
Online platforms are using warning messages to counter disinformation, b...
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08/20/2020
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset
Automated analysis of privacy policies has proved a fruitful research di...
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06/23/2020
Classifying Network Vendors at Internet Scale
In this paper, we develop a method to create a large, labeled dataset of...
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02/28/2020
Supporting Early and Scalable Discovery of Disinformation Websites
Online disinformation is a serious and growing sociotechnical problem th...
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07/16/2019