activity
20132026
most citedExploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media

116 citations · 1.2k across the 49 of their papers we have counts for

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Showing 2023Show all

16 papers · 1 filter

cs.HC2023

Misinformation as a harm: structured approaches for fact-checking prioritization

Connie Moon Sehat, Ryan Li, Peipei Nie +2

In this work, we examine how fact-checkers prioritize which claims to fact-check and what tools may assist them in their efforts. Through a series of interviews with 23 professiona…

cs.CV2023★ 1 cited

Semantic and Expressive Variation in Image Captions Across Languages

Andre Ye, Sebastin Santy, Jena D. Hwang +2

Computer vision often treats human perception as homogeneous: an implicit assumption that visual stimuli are perceived similarly by everyone. This assumption is reflected in the wa…

cs.HC2023★ 2 cited

Qlarify: Recursively Expandable Abstracts for Directed Information Retrieval over Scientific Papers

Raymond Fok, Joseph Chee Chang, Tal August +2

Navigating the vast scientific literature often starts with browsing a paper's abstract. However, when a reader seeks additional information, not present in the abstract, they face…

cs.HC2023

Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities

Leijie Wang, Nicolas Vincent, Julija Rukanskaitė +1

Internet users have formed a wide array of online communities with nuanced and diverse community goals and norms. However, most online platforms only offer a limited set of governa…

cs.HC2023★ 17 cited

Papeos: Augmenting Research Papers with Talk Videos

Tae Soo Kim, Matt Latzke, Jonathan Bragg +2

Research consumption has been traditionally limited to the reading of academic papers-a static, dense, and formally written format. Alternatively, pre-recorded conference presentat…

cs.CV2023

Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation

Andre Ye, Quan Ze Chen, Amy Zhang

Medical image segmentation modeling is a high-stakes task where understanding of uncertainty is crucial for addressing visual ambiguity. Prior work has developed segmentation model…

cs.HC2023★ 2 cited

"Is Reporting Worth the Sacrifice of Revealing What I Have Sent?": Privacy Considerations When Reporting on End-to-End Encrypted Platforms

Leijie Wang, Ruotong Wang, Sterling Williams-Ceci +2

User reporting is an essential component of content moderation on many online platforms -- in particular, on end-to-end encrypted (E2EE) messaging platforms where platform operator…

cs.HC2023★ 80 cited

Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and Labor

Shagun Jhaver, Alice Qian Zhang, Quanze Chen +3

Social media platforms moderate content for each user by incorporating the outputs of both platform-wide content moderation systems and, in some cases, user-configured personal mod…

cs.CV2023★ 19 cited

Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets

Teanna Barrett, Quan Ze Chen, Amy X. Zhang

To investigate the well-observed racial disparities in computer vision systems that analyze images of humans, researchers have turned to skin tone as more objective annotation than…

cs.HC2023★ 9 cited

Judgment Sieve: Reducing Uncertainty in Group Judgments through Interventions Targeting Ambiguity versus Disagreement

Quan Ze Chen, Amy X. Zhang

When groups of people are tasked with making a judgment, the issue of uncertainty often arises. Existing methods to reduce uncertainty typically focus on iteratively improving spec…

cs.HC2023★ 8 cited

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

Kyle Lo, Joseph Chee Chang, Andrew Head +52

Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature…

cs.HC2023★ 1 cited

Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions

K. J. Kevin Feng, Nick Ritchie, Pia Blumenthal +2

In recent years, industry leaders and researchers have proposed to use technical provenance standards to address visual misinformation spread through digitally altered media. By ad…

cs.HC2023★ 41 cited

Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations

K. J. Kevin Feng, Tony W. Li, Amy X. Zhang

User experience (UX) has undergone a revolution in collaborative practices, due to tools that enable quick feedback and continuous collaboration with a varied team across a design'…

cs.HC2023★ 45 cited

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context

Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg +4

When reading a scholarly article, inline citations help researchers contextualize the current article and discover relevant prior work. However, it can be challenging to prioritize…

cs.HC2023★ 38 cited

Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections

Srishti Palani, Aakanksha Naik, Doug Downey +3

Scholars who want to research a scientific topic must take time to read, extract meaning, and identify connections across many papers. As scientific literature grows, this becomes…

cs.HC2023★ 1 cited

Do Users Want Platform Moderation or Individual Control? Examining the Role of Third-Person Effects and Free Speech Support in Shaping Moderation Preferences

Shagun Jhaver, Amy Zhang

This study examines social media users' preferences for the use of platform-wide moderation in comparison to user-controlled, personalized moderation tools to regulate three catego…