5 citations · 11 across the 10 of their papers we have counts for
8 papers · 1 filter
Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election
Matteo Serafino, Zhenkun Zhou, Jose S. Andrade +2
The ongoing debate surrounding the impact of the Internet Research Agency s (IRA) social media campaign during the 2016 U.S. presidential election has largely overshadowed the invo…
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach
Xingyu Peng, Zhenkun Zhou, Chong Zhang +1
Public opinion is a crucial factor in shaping political decision-making. Nowadays, social media has become an essential platform for individuals to engage in political discussions…
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks
Chong Zhang, Zhenkun Zhou, Xingyu Peng +1
Given the development and abundance of social media, studying the stance of social media users is a challenging and pressing issue. Social media users express their stance by posti…
Shifting Polarization and Twitter News Influencers between two U.S. Presidential Elections
James Flamino, Alessandro Galezzi, Stuart Feldman +7
Social media are decentralized, interactive, and transformative, empowering users to produce and spread information to influence others. This has changed the dynamics of political…
Why polls fail to predict elections
Zhenkun Zhou, Matteo Serafino, Luciano Cohan +2
In the past decade we have witnessed the failure of traditional polls in predicting presidential election outcomes across the world. To understand the reasons behind these failures…
Artificial intelligence for elections: the case of 2019 Argentina primary and presidential election
Zhenkun Zhou, Hernan A. Makse
We use a method based on machine learning, big-data analytics, and network theory to process millions of messages posted in Twitter to predict election outcomes. The model has achi…