179 citations · 505 across the 46 of their papers we have counts for
7 papers · 1 filter
Propagation from Deceptive News Sources: Who Shares, How Much, How Evenly, and How Quickly?
Maria Glenski, Tim Weninger, Svitlana Volkova
As people rely on social media as their primary sources of news, the spread of misinformation has become a significant concern. In this large-scale study of news in social media we…
GuessTheKarma: A Game to Assess Social Rating Systems
Maria Glenski, Greg Stoddard, Paul Resnick +1
Popularity systems, like Twitter retweets, Reddit upvotes, and Pinterest pins have the potential to guide people toward posts that others liked. That, however, creates a feedback l…
How Humans versus Bots React to Deceptive and Trusted News Sources: A Case Study of Active Users
Maria Glenski, Tim Weninger, Svitlana Volkova
Society's reliance on social media as a primary source of news has spawned a renewed focus on the spread of misinformation. In this work, we identify the differences in how social…
Growing Better Graphs With Latent-Variable Probabilistic Graph Grammars
Xinyi Wang, Salvador Aguinaga, Tim Weninger +1
Recent work in graph models has found that probabilistic hyperedge replacement grammars (HRGs) can be extracted from graphs and used to generate new random graphs with graph proper…
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources
Maria Glenski, Tim Weninger, Svitlana Volkova
In the age of social news, it is important to understand the types of reactions that are evoked from news sources with various levels of credibility. In the present work we seek to…
Visualizing the Flow of Discourse with a Concept Ontology
Baoxu Shi, Tim Weninger
Understanding and visualizing human discourse has long being a challenging task. Although recent work on argument mining have shown success in classifying the role of various sente…
Learning Hyperedge Replacement Grammars for Graph Generation
Salvador Aguinaga, David Chiang, Tim Weninger
The discovery and analysis of network patterns are central to the scientific enterprise. In the present work, we developed and evaluated a new approach that learns the building blo…