most citedControversy and Sentiment in Online News

62 citations · 213 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV202319 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.HC20238 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.HC202341 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.HC202345 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.HC202338 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.CY201462 cited

Controversy and Sentiment in Online News

Yelena Mejova, Amy X. Zhang, Nicholas Diakopoulos +1

How do news sources tackle controversial issues? In this work, we take a data-driven approach to understand how controversy interplays with emotional expression and biased language…