CYHCAug 4, 2020

Analyzing Twitter Users' Behavior Before and After Contact by the Internet Research Agency

arXiv:2008.01273v2
AI Analysis

This addresses election interference and misinformation spread on social media, providing insights into user susceptibility, but it is incremental as it builds on known IRA activities.

The study investigated whether Twitter users changed their behavior after first contact by the Internet Research Agency, finding statistically significant changes in metrics like tweet count and sentiment, with greater effects in users who engaged with the IRA.

Social media platforms have been exploited to conduct election interference in recent years. In particular, the Russian-backed Internet Research Agency (IRA) has been identified as a key source of misinformation spread on Twitter prior to the 2016 U.S. presidential election. The goal of this research is to understand whether general Twitter users changed their behavior in the year following first contact from an IRA account. We compare the before and after behavior of contacted users to determine whether there were differences in their mean tweet count, the sentiment of their tweets, and the frequency and sentiment of tweets mentioning @realDonaldTrump or @HillaryClinton. Our results indicate that users overall exhibited statistically significant changes in behavior across most of these metrics, and that those users that engaged with the IRA generally showed greater changes in behavior.

Foundations

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