1 citations · 3 across the 4 of their papers we have counts for
4 papers
How Does Empowering Users with Greater System Control Affect News Filter Bubbles?
Ping Liu, Karthik Shivaram, Aron Culotta +2
While recommendation systems enable users to find articles of interest, they can also create ``filter bubbles'' by presenting content that reinforces users' pre-existing beliefs. U…
Forecasting Political News Engagement on Social Media
Karthik Shivaram, Mustafa Bilgic, Matthew Shapiro +1
Understanding how political news consumption changes over time can provide insights into issues such as hyperpartisanship, filter bubbles, and misinformation. To investigate long-t…
Characterizing Online Criticism of Partisan News Media Using Weakly Supervised Learning
Karthik Shivaram, Mustafa Bilgic, Matthew Shapiro +1
We propose novel methods to identify tweets that criticize partisan news sources. Prior work suggests that criticism, ridicule, and distrust of news media all play important roles…
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach
Ruo Yang, Binghui Wang, Mustafa Bilgic
Numerous explanation methods have been recently developed to interpret the decisions made by deep neural network (DNN) models. For image classifiers, these methods typically provid…