19 citations · 44 across the 9 of their papers we have counts for
9 papers
How to Train Your YouTube Recommender to Avoid Unwanted Videos
Alexander Liu, Siqi Wu, Paul Resnick
YouTube provides features for users to indicate disinterest when presented with unwanted recommendations, such as the "Not interested" and "Don't recommend channel" buttons. These…
Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?
Shubham Atreja, Libby Hemphill, Paul Resnick
To reduce the spread of misinformation, social media platforms may take enforcement actions against offending content, such as adding informational warning labels, reducing distrib…
'Walking Into a Fire Hoping You Don't Catch': Strategies and Designs to Facilitate Cross-Partisan Online Discussions
Ashwin Rajadesingan, Carolyn Duran, Paul Resnick +1
While cross-partisan conversations are central to a vibrant democracy, these are hard conversations to have, especially in the United States amidst unprecedented levels of partisan…
Searching For or Reviewing Evidence Improves Crowdworkers' Misinformation Judgments and Reduces Partisan Bias
Paul Resnick, Aljohara Alfayez, Jane Im +1
Can crowd workers be trusted to judge whether news-like articles circulating on the Internet are misleading, or does partisanship and inexperience get in the way? And can the task…
Principled Evaluation with Human Labels: One Rater at a Time and Rater Equivalence
Paul Resnick, Yuqing Kong, Grant Schoenebeck +1
In many classification tasks, there is no definitive ground truth, only human judgments that may disagree. We address two challenges that arise in such settings: (1) how to use hum…
Political Discussion is Abundant in Non-political Subreddits (and Less Toxic)
Ashwin Rajadesingan, Ceren Budak, Paul Resnick
Research on online political communication has primarily focused on content in explicitly political spaces. In this work, we set out to determine the amount of political talk misse…
Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives
Siqi Wu, Paul Resnick
We present the first large-scale measurement study of cross-partisan discussions between liberals and conservatives on YouTube, based on a dataset of 274,241 political videos from…
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
Samuel Carton, Qiaozhu Mei, Paul Resnick
We introduce an adversarial method for producing high-recall explanations of neural text classifier decisions. Building on an existing architecture for extractive explanations via…
GuessTheKarma: A Game to Assess Social Rating Systems
Maria Glenski, Greg Stoddard, Paul Resnick +1
Popularity systems, like Twitter retweets, Reddit upvotes, and Pinterest pins have the potential to guide people toward posts that others liked. That, however, creates a feedback l…