Spotting fake in the news: an easy task?

Spotting Fake Retweeting Activity in Twitter

Given the retweeting activity around the posts of several Twitter users, how can we spot organic users’ reactions from fake retweets that aim to boost a post’s appearance of popularity? Our main intuition is that organic behavior has more variability, while fraudulent behavior is more synchronized. We refer to the detection of such fraudulent activities as the Retweet Fraud problem and propose:...

The Economics of "Fake News"

Fake News in Social Networks

We model the spread of news as a social learning game on a network. Agents can either endorse or oppose a claim made in a piece of news, which itself may be either true or false. Agents base their decision on a private signal and their neighbors’ past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and receive utility from acting in acco...

Alt-News and Post-Truths in the "Fake News" Era

Spotting Fake Reviews using Positive-Unlabeled Learning

Fake review detection has been studied by researchers for several years. However, so far all reported studies are based on English reviews. This paper reports a study of detecting fake reviews in Chinese. Our review dataset is from the Chinese review hosting site Dianping, which has built a fake review detection system. They are confident that their algorithm has a very high precision, but they...