19 citations · 36 across the 6 of their papers we have counts for
8 papers
Applying Word Embeddings to Measure Valence in Information Operations Targeting Journalists in Brazil
David A. Broniatowski
Among the goals of information operations are to change the overall information environment vis-á-vis specific actors. For example, "trolling campaigns" seek to undermine the credi…
Predicting Directionality in Causal Relations in Text
Pedram Hosseini, David A. Broniatowski, Mona Diab
In this work, we test the performance of two bidirectional transformer-based language models, BERT and SpanBERT, on predicting directionality in causal pairs in the textual content…
A Multi-Modal Method for Satire Detection using Textual and Visual Cues
Lily Li, Or Levi, Pedram Hosseini +1
Satire is a form of humorous critique, but it is sometimes misinterpreted by readers as legitimate news, which can lead to harmful consequences. We observe that the images used in…
The Role of Individual User Differences in Interpretable and Explainable Machine Learning Systems
Lydia P. Gleaves, Reva Schwartz, David A. Broniatowski
There is increased interest in assisting non-expert audiences to effectively interact with machine learning (ML) tools and understand the complex output such systems produce. Here,…
Detecting East Asian Prejudice on Social Media
Bertie Vidgen, Austin Botelho, David Broniatowski +6
The outbreak of COVID-19 has transformed societies across the world as governments tackle the health, economic and social costs of the pandemic. It has also raised concerns about t…
Automatically Characterizing Targeted Information Operations Through Biases Present in Discourse on Twitter
Autumn Toney, Akshat Pandey, Wei Guo +2
This paper considers the problem of automatically characterizing overall attitudes and biases that may be associated with emerging information operations via artificial intelligenc…