41 citations · 50 across the 6 of their papers we have counts for
6 papers
Inductive detection of Influence Operations via Graph Learning
Nicholas A. Gabriel, David A. Broniatowski, Neil F. Johnson
Influence operations are large-scale efforts to manipulate public opinion. The rapid detection and disruption of these operations is critical for healthy public discourse. Emergent…
GisPy: A Tool for Measuring Gist Inference Score in Text
Pedram Hosseini, Christopher R. Wolfe, Mona Diab +1
Decision making theories such as Fuzzy-Trace Theory (FTT) suggest that individuals tend to rely on gist, or bottom-line meaning, in the text when making decisions. In this work, we…
Knowledge-Augmented Language Models for Cause-Effect Relation Classification
Pedram Hosseini, David A. Broniatowski, Mona Diab
Previous studies have shown the efficacy of knowledge augmentation methods in pretrained language models. However, these methods behave differently across domains and downstream ta…
Twitter and Facebook posts about COVID-19 are less likely to spread false and low-credibility content compared to other health topics
David A. Broniatowski, Daniel Kerchner, Fouzia Farooq +4
On February 2, 2020, the World Health Organization declared a COVID-19 social media "infodemic", with special attention to misinformation -- frequently understood as false claims.…
Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP
Pedram Hosseini, Poorya Hosseini, David A. Broniatowski
Iran, along with China, South Korea, and Italy was among the countries that were hit hard in the first wave of the COVID-19 spread. Twitter is one of the widely-used online platfor…
The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets
Paiheng Xu, Mark Dredze, David A. Broniatowski
Social distancing is an important component of the response to the novel Coronavirus (COVID-19) pandemic. Minimizing social interactions and travel reduces the rate at which the in…