• Publications
  • Influence
Stance Classification of Twitter Debates: The Encryption Debate as A Use Case
Stance classification is a relatively new and challenging approach to deepen opinion mining by classifying a user's stance in a debate. Expand
  • 10
  • 3
Linguistic Cues to Deception: Identifying Political Trolls on Social Media
The ease with which information can be shared on social media has opened it up to abuse and manipulation. Expand
  • 12
  • 2
"What Is Your Evidence?" A Study of Controversial Topics on Social Media
A Support Vector Machine (SVM) classifier trained with n-gram and additional features is capable of capturing the different forms of representing evidence on Twitter, and exhibits significant improvements over the unigram baseline. Expand
  • 21
  • 1
  • PDF
Characterizing the 2016 Russian IRA influence campaign
We explore the effects of this manipulation campaign, taking a closer look at users who re-shared the posts produced on Twitter by the Russian troll accounts publicly disclosed by U.S. Congress. Expand
  • 16
  • PDF
Telling Apart Tweets Associated with Controversial versus Non-Controversial Topics
We evaluate the predictability of tweets associated with controversial versus non-controversial topics. Expand
  • 8
  • PDF
Usage of Scientific References in MMR Vaccination Debates on Twitter
  • Aseel Addawood
  • Psychology, Computer Science
  • IEEE/ACM International Conference on Advances in…
  • 1 August 2018
This research analyzes scientific information sharing behaviors on Twitter. Over an eleven-month period, we collected tweets related to the controversy over the supposed linkage between the MMRExpand
  • 1
Women's driving in Saudi Arabia-analyzing the discussion of a controversial topic on twitter
Twitter provides a window into peoples’ opinions about issues of public interest. In this paper, we analyzed the stance, gender and location of tweets and tweeters related to the controversial issueExpand
Predicting Community Engagement on Twitter on Environmental Health Hazards
In this empirical study, a framework was developed for binary and multi-class classification of Twitter data. Expand
  • 1