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Author: 32744

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Taking the control back – An adventure in developing personalized content moderation

Online platforms are riddled with harassment, which significantly impacts the well-being of users. Unfortunately, the content moder- ation solutions provided by platforms often disappoint end-users as they fail to equip individuals with sufficient controls for their personal situations. In this work, the author, who p…

Wenshan Luo et al.University of California - San Diego

Deception at Scale: Deceptive Designs in 1K LLM-Generated E-Commerce Components

Recent work has shown that front-end code generated by Large Language Models (LLMs) can embed deceptive designs. To assess the magnitude of this problem, identify the factors that influence deceptive design production, and test strategies for reducing deceptive designs, we carried out two studies which generated and a…

Ziwei Chen et al.University of California - San Diego

The Balancing Act of Social Audio Facilitators: When Self-Promotion Overshadows Community Care

Voice-based social media platforms, such as X-Spaces, Discord, and Clubhouse have seen considerable growth in recent years. Such platforms enable attendees to have real-time, ephemeral interactions with each other. While prior research on these spaces has predominantly focused on moderating harms, our work seeks to un…

Nazanin Sabri et al.University of California - San Diego

Voice Technology

Placebo Effect of Control Settings in Feeds Are Not Always Strong

Recent work has catalogued a variety of ``dark'' design patterns, including deception, that undermine user intent. We focus on deceptive ``placebo'' control settings for social media that do not work. While prior work reported that placebo controls increase feed satisfaction, we add to this body of knowledge by addr…

Silas Hsu et al.University of Illinois

AdRecommended

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Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

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NewsGuesser: Using Curiosity to Reduce Selective Exposure

Selective exposure has long been a concern of HCI researchers as it can lead to ideological polarization and distrust in society. Efforts have tried to reduce selective exposure online by serving diversified news content, but their effectiveness has been limited by users’ lack of motivation to engage with the diverse…

Lu Sun et al.University of California

Session 2d: Analyzing and Shaping User Behavior on Social Media

Challenges of Moderating Social Virtual Reality

Recent years have seen a rise in social virtual reality (VR) platforms that allow people to interact in real-time through voice and gestures. The ephemeral nature of communication on these platforms can enable new forms of harmful behavior and new challenges for moderators. We performed virtual field research on three…

Nazanin Sabri et al.University of California

Understanding Risks of Privacy Theater with Differential Privacy

Differential privacy is one of the most popular technologies in the growing area of privacy-conscious data analytics. But differential privacy, along with other privacy-enhancing technologies, may enable privacy theater. In implementations of differential privacy, certain algorithm parameters control the tradeoff betw…

Mary Anne Smart et al.University of California - San Diego

Data and Privacy; Data and Privacy

Contestability For Content Moderation

Content moderation systems for social media have had numerous issues of bias, in terms of race, gender, and ability among many others. One proposal for addressing such issues in automated decision making is by designing for contestability, whereby users can shape and influence how decisions are made. In this study, we…

Kristen Vaccaro et al.University of California - San Diego

Content Moderation

“At the End of the Day Facebook Does What It Wants”: How Users Experience Contesting Algorithmic Content Moderation

Interest has grown in designing algorithmic decision making systems for contestability. In this work, we study how users experience contesting unfavorable social media content moderation decisions. A large-scale online experiment tests whether different forms of appeals can improve users’ experiences of automated deci…

Kristen Vaccaro et al.University of California - San Diego

Understanding and Fighting Toxicity / Moderation

Awareness, Navigation, and Use of Feed Control Settings Online

Control settings are abundant and have significant effects on user experiences. One example of an impactful but understudied area is feed settings. In this study, we investigated awareness, navigation, and use of feed settings. We began by creating a taxonomy of feed settings on social media and search sites. Via an o…

Silas Hsu et al.University of Illinois

User Attitudes towards Algorithmic Opacity and Transparency in Online Reviewing Platforms

Algorithms exert great power in curating online information, yet are often opaque in their operation, and even existence. Since opaque algorithms sometimes make biased or deceptive decisions, many have called for increased transparency. However, little is known about how users perceive and interact with potentially bi…

Motahhare Eslami et al.University of Illinois

The Illusion of Control: Placebo Effects of Control Settings

Algorithmic prioritization is a growing focus for social media users. Control settings are one way for users to adjust the prioritization of their news feeds, but they prioritize feed content in a way that can be difficult to judge objectively. In this work, we study how users engage with difficult-to-validate control…

Kristen Vaccaro et al.University of California - San Diego

Designing the Future of Personal Fashion

Advances in computer vision and machine learning are changing the way people dress and buy clothes. Given the vast space of fashion problems, where can data-driven technologies provide the most value? To understand consumer pain points and opportunities for technological interventions, this paper presents the results…

Kristen Vaccaro et al.University of California - San Diego

Paper Title	Authors	Research Topics
emoji_events Taking the control back – An adventure in developing personalized content moderation Online platforms are riddled with harassment, which significantly impacts the well-being of users. Unfortunately, the content moder- ation solutions provided by platforms often disappoint end-users as they fail to equip individuals with sufficient controls for their personal situations. In this work, the author, who p…	WL Wenshan Luo et al.University of California - San Diego
Deception at Scale: Deceptive Designs in 1K LLM-Generated E-Commerce Components Recent work has shown that front-end code generated by Large Language Models (LLMs) can embed deceptive designs. To assess the magnitude of this problem, identify the factors that influence deceptive design production, and test strategies for reducing deceptive designs, we carried out two studies which generated and a…	ZC Ziwei Chen et al.University of California - San Diego
emoji_events The Balancing Act of Social Audio Facilitators: When Self-Promotion Overshadows Community Care Voice-based social media platforms, such as X-Spaces, Discord, and Clubhouse have seen considerable growth in recent years. Such platforms enable attendees to have real-time, ephemeral interactions with each other. While prior research on these spaces has predominantly focused on moderating harms, our work seeks to un…	NS Nazanin Sabri et al.University of California - San Diego	Voice Technology
emoji_events Placebo Effect of Control Settings in Feeds Are Not Always Strong Recent work has catalogued a variety of ``dark'' design patterns, including deception, that undermine user intent. We focus on deceptive ``placebo'' control settings for social media that do not work. While prior work reported that placebo controls increase feed satisfaction, we add to this body of knowledge by addr…	SH Silas Hsu et al.University of Illinois
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
NewsGuesser: Using Curiosity to Reduce Selective Exposure Selective exposure has long been a concern of HCI researchers as it can lead to ideological polarization and distrust in society. Efforts have tried to reduce selective exposure online by serving diversified news content, but their effectiveness has been limited by users’ lack of motivation to engage with the diverse…	LS Lu Sun et al.University of California	Session 2d: Analyzing and Shaping User Behavior on Social Media
Challenges of Moderating Social Virtual Reality Recent years have seen a rise in social virtual reality (VR) platforms that allow people to interact in real-time through voice and gestures. The ephemeral nature of communication on these platforms can enable new forms of harmful behavior and new challenges for moderators. We performed virtual field research on three…	NS Nazanin Sabri et al.University of California
Understanding Risks of Privacy Theater with Differential Privacy Differential privacy is one of the most popular technologies in the growing area of privacy-conscious data analytics. But differential privacy, along with other privacy-enhancing technologies, may enable privacy theater. In implementations of differential privacy, certain algorithm parameters control the tradeoff betw…	MS Mary Anne Smart et al.University of California - San Diego	Data and Privacy; Data and Privacy
Contestability For Content Moderation Content moderation systems for social media have had numerous issues of bias, in terms of race, gender, and ability among many others. One proposal for addressing such issues in automated decision making is by designing for contestability, whereby users can shape and influence how decisions are made. In this study, we…	KV Kristen Vaccaro et al.University of California - San Diego	Content Moderation
“At the End of the Day Facebook Does What It Wants”: How Users Experience Contesting Algorithmic Content Moderation Interest has grown in designing algorithmic decision making systems for contestability. In this work, we study how users experience contesting unfavorable social media content moderation decisions. A large-scale online experiment tests whether different forms of appeals can improve users’ experiences of automated deci…	KV Kristen Vaccaro et al.University of California - San Diego	Understanding and Fighting Toxicity / Moderation
Awareness, Navigation, and Use of Feed Control Settings Online Control settings are abundant and have significant effects on user experiences. One example of an impactful but understudied area is feed settings. In this study, we investigated awareness, navigation, and use of feed settings. We began by creating a taxonomy of feed settings on social media and search sites. Via an o…	SH Silas Hsu et al.University of Illinois
User Attitudes towards Algorithmic Opacity and Transparency in Online Reviewing Platforms Algorithms exert great power in curating online information, yet are often opaque in their operation, and even existence. Since opaque algorithms sometimes make biased or deceptive decisions, many have called for increased transparency. However, little is known about how users perceive and interact with potentially bi…	ME Motahhare Eslami et al.University of Illinois
The Illusion of Control: Placebo Effects of Control Settings Algorithmic prioritization is a growing focus for social media users. Control settings are one way for users to adjust the prioritization of their news feeds, but they prioritize feed content in a way that can be difficult to judge objectively. In this work, we study how users engage with difficult-to-validate control…	KV Kristen Vaccaro et al.University of California - San Diego
Designing the Future of Personal Fashion Advances in computer vision and machine learning are changing the way people dress and buy clothes. Given the vast space of fashion problems, where can data-driven technologies provide the most value? To understand consumer pain points and opportunities for technological interventions, this paper presents the results…	KV Kristen Vaccaro et al.University of California - San Diego