Search Results for author:
Found 3 papers, 1 papers with code
Lumen: A Machine Learning Framework to Expose Influence Cues in Text
Phishing and disinformation are popular social engineering attacks with attackers invariably applying influence cues in texts to make them more appealing to users.
Facebook Ad Engagement in the Russian Active Measures Campaign of 2016
This paper examines 3, 517 Facebook ads created by Russia's Internet Research Agency (IRA) between June 2015 and August 2017 in its active measures disinformation campaign targeting the 2016 U. S. general election.
People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation--A Comparison Between COVID and General Narratives on Twitter
We found that (i) factual tweets, regardless of whether COVID-related, were more engaging than misinformation tweets; and (ii) features that most heavily correlated with engagement varied depending on the veracity and content of the tweet.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
