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Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems for Social Media

Social media platforms are increasingly adopting features that display crowdsourced context alongside posts, a technique pioneered by X's Community Notes. These systems---which we term \textit{Crowdsourced Context Systems} (CCS)---have the potential to reshape the information ecosystem as major platforms embrace them…

Travis Lloyd et al.Cornell University

Lost in Transcription: Subtitle Errors in Automatic Speech Recognition Reduce Speaker and Content Evaluations

Researchers have demonstrated that Automatic Speech Recognition (ASR) systems perform differently across demographic groups. In this work, we examined how subtitle errors affect evaluations of speakers and their content using a preregistered online experiment (N=207, U.S.-based crowdworkers). Participants watched spea…

Kowe Kadoma et al.Cornell University

Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas

Emerging evidence shows that writing with AI assistance can change both the views people express and the opinions they hold. Yet, we lack a substantive understanding of behavioral and process-level changes in co-writing with AI that underlie the opinion-shaping power of these tools. We conducted a mixed-methods study,…

Advait Bhat et al.University of Washington

"There Has To Be a Lot That We're Missing'': Moderating AI-Generated Content on Reddit

Generative AI has begun to alter how we work, learn, communicate, and participate in online communities. How might our online communities be changed by generative AI? To start addressing this question, we focused on online community moderators' experiences with AI-generated content (AIGC). We performed fifteen in-dept…

Travis Lloyd et al.Cornell University

Content Moderation

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AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content

How are Reddit communities responding to AI-generated content? We explored this question through a large-scale analysis of subreddit community rules and their change over time. We collected the metadata and community rules for over 300,000 public subreddits and measured the prevalence of rules governing AI. We labeled…

Travis Lloyd et al.Cornell University

Generative AI and Perceptual Harms: Who’s Suspected of using LLMs?

Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools, they may risk causing a variety of harms, potentially disproportionately burdening historically marginalized group…

Kowe Kadoma et al.Cornell University

Stop the [Image] Steal: The Role and Dynamics of Visual Content in the 2020 U.S. Election Misinformation Campaign

Images are powerful. Visual information can be useful in attracting attention, improve persuasion, trigger stronger emotions, and is easy to share and spread. We examine the characteristics of the popular images shared on Twitter as part of ``Stop the Steal'', the widespread misinformation campaign during the 2020 U.S…

Hana Matatov et al.Technion - Israel Institute of Technology

Politics, Polarization and Partisanship; Politics, Polarization and Partisanship

Characterizing Reddit Participation of Users who Engage in the QAnon Conspiracy Theories

Widespread conspiracy theories may significantly impact our society. In this short paper, we focus on the QAnon conspiracy theory, a consequential conspiracy theory that started on and disseminated successfully through social media. Our work characterizes how Reddit users who have participated in QAnon-focused subredd…

Kristen Engel et al.Cornell University

Misinformation, Fake News & Conspiracy Theories; Misinformation, Fake News & Conspiracy Theories

Trend Alert: A Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election

Political organizations worldwide keep innovating their use of social media technologies. This study describes a novel configuration of technologies and organizational forms for the manipulation of Twitter trends. In the 2019 Indian general election, campaign organizers used a network of WhatsApp groups to coordinate…

Maurice Jakesch et al.Cornell University

Misinformation, Conspiracies, and Manipulations

The Government's Dividend: Complex Perceptions of Social Media Misinformation in China

The social media environment in China has become the dominant source of information and news over the past decade. This news environment has naturally suffered from challenges related to mis- and dis-information, encumbered by an increasingly complex landscape of factors and players including social media services, fa…

Zhicong Lu et al.University of Toronto

A Multi-site Investigation of Community Awareness Through Passive Location Sharing

Local community ties are an important social resource, but research shows that these ties have been declining. The social significance of location information offers an opportunity address this decline and support local community building. Through this research, we aim to understand if and how passive location sharing…

Emily Sun et al.Cornell University

Paper Title	Authors	Research Topics
Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems for Social Media Social media platforms are increasingly adopting features that display crowdsourced context alongside posts, a technique pioneered by X's Community Notes. These systems---which we term \textit{Crowdsourced Context Systems} (CCS)---have the potential to reshape the information ecosystem as major platforms embrace them…	TL Travis Lloyd et al.Cornell University
Lost in Transcription: Subtitle Errors in Automatic Speech Recognition Reduce Speaker and Content Evaluations Researchers have demonstrated that Automatic Speech Recognition (ASR) systems perform differently across demographic groups. In this work, we examined how subtitle errors affect evaluations of speakers and their content using a preregistered online experiment (N=207, U.S.-based crowdworkers). Participants watched spea…	KK Kowe Kadoma et al.Cornell University
Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas Emerging evidence shows that writing with AI assistance can change both the views people express and the opinions they hold. Yet, we lack a substantive understanding of behavioral and process-level changes in co-writing with AI that underlie the opinion-shaping power of these tools. We conducted a mixed-methods study,…	AB Advait Bhat et al.University of Washington
emoji_events "There Has To Be a Lot That We're Missing'': Moderating AI-Generated Content on Reddit Generative AI has begun to alter how we work, learn, communicate, and participate in online communities. How might our online communities be changed by generative AI? To start addressing this question, we focused on online community moderators' experiences with AI-generated content (AIGC). We performed fifteen in-dept…	TL Travis Lloyd et al.Cornell University	Content Moderation
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content How are Reddit communities responding to AI-generated content? We explored this question through a large-scale analysis of subreddit community rules and their change over time. We collected the metadata and community rules for over 300,000 public subreddits and measured the prevalence of rules governing AI. We labeled…	TL Travis Lloyd et al.Cornell University
Generative AI and Perceptual Harms: Who’s Suspected of using LLMs? Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools, they may risk causing a variety of harms, potentially disproportionately burdening historically marginalized group…	KK Kowe Kadoma et al.Cornell University
Stop the [Image] Steal: The Role and Dynamics of Visual Content in the 2020 U.S. Election Misinformation Campaign Images are powerful. Visual information can be useful in attracting attention, improve persuasion, trigger stronger emotions, and is easy to share and spread. We examine the characteristics of the popular images shared on Twitter as part of ``Stop the Steal'', the widespread misinformation campaign during the 2020 U.S…	HM Hana Matatov et al.Technion - Israel Institute of Technology	Politics, Polarization and Partisanship; Politics, Polarization and Partisanship
Characterizing Reddit Participation of Users who Engage in the QAnon Conspiracy Theories Widespread conspiracy theories may significantly impact our society. In this short paper, we focus on the QAnon conspiracy theory, a consequential conspiracy theory that started on and disseminated successfully through social media. Our work characterizes how Reddit users who have participated in QAnon-focused subredd…	KE Kristen Engel et al.Cornell University	Misinformation, Fake News & Conspiracy Theories; Misinformation, Fake News & Conspiracy Theories
Trend Alert: A Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election Political organizations worldwide keep innovating their use of social media technologies. This study describes a novel configuration of technologies and organizational forms for the manipulation of Twitter trends. In the 2019 Indian general election, campaign organizers used a network of WhatsApp groups to coordinate…	MJ Maurice Jakesch et al.Cornell University	Misinformation, Conspiracies, and Manipulations
The Government's Dividend: Complex Perceptions of Social Media Misinformation in China The social media environment in China has become the dominant source of information and news over the past decade. This news environment has naturally suffered from challenges related to mis- and dis-information, encumbered by an increasingly complex landscape of factors and players including social media services, fa…	ZL Zhicong Lu et al.University of Toronto
A Multi-site Investigation of Community Awareness Through Passive Location Sharing Local community ties are an important social resource, but research shows that these ties have been declining. The social significance of location information offers an opportunity address this decline and support local community building. Through this research, we aim to understand if and how passive location sharing…	ES Emily Sun et al.Cornell University