IdeoTrace: A Framework for Ideology Tracing with a Case Study on the 2016 U.S. Presidential Election
arXiv:1905.08831
Abstract
The 2016 United States presidential election has been characterized as a period of extreme divisiveness that was exacerbated on social media by the influence of fake news, trolls, and social bots. However, the extent to which the public became more polarized in response to these influences over the course of the election is not well understood. In this paper we propose IdeoTrace, a framework for (i) jointly estimating the ideology of social media users and news websites and (ii) tracing changes in user ideology over time. We apply this framework to the last two months of the election period for a group of 47508 Twitter users and demonstrate that both liberal and conservative users became more polarized over time.
arXiv comment9 pages, 4 figures, submitted to ASONAM 2019
References in corpus (9)
- A Tutorial on Modeling and Analysis of Dynamic Social Networks. Part I
- Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign
- Measuring Political Polarization: Twitter shows the two sides of Venezuela
- Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump
- PU Learning for Matrix Completion
- A Long-Term Analysis of Polarization on Twitter
- People are Strange when you're a Stranger: Impact and Influence of Bots on Social Networks
- Impact of Social Media Posts in Real life Violence: A Case Study in Bangladesh
- Who Falls for Online Political Manipulation?