66 citations · 110 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
Leaders or Followers? A Temporal Analysis of Tweets from IRA Trolls
Siva K. Balasubramanian, Mustafa Bilgic, Aron Culotta +3
The Internet Research Agency (IRA) influences online political conversations in the United States, exacerbating existing partisan divides and sowing discord. In this paper we inves…
Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions
Ehsan Mohammady Ardehaly, Aron Culotta
Opinion mining and demographic attribute inference have many applications in social science. In this paper, we propose models to infer daily joint probabilities of multiple latent…