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20162020
most citedHow Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers

15 citations · 32 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.SI2017★ 15 cited

How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers

Yu Wang, Yang Feng, Zhe Hong +2

Polarization in American politics has been extensively documented and analyzed for decades, and the phenomenon became all the more apparent during the 2016 presidential election, w…

cs.SI2016★ 1 cited

Tactics and Tallies: Inferring Voter Preferences in the 2016 U.S. Presidential Primaries Using Sparse Learning

Yu Wang, Yang Feng, Xiyang Zhang +1

In this paper, we propose a web-centered framework to infer voter preferences for the 2016 U.S. presidential primaries. Using Twitter data collected from Sept. 2015 to March 2016,…

cs.SI2016★ 1 cited

Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach

Yu Wang, Yang Feng, Xiyang Zhang +1

Gender is playing an important role in the 2016 U.S. presidential election, especially with Hillary Clinton becoming the first female presidential nominee and Donald Trump being fr…

cs.SI2016

Will Sanders Supporters Jump Ship for Trump? Fine-grained Analysis of Twitter Followers

Yu Wang, Yang Feng, Xiyang Zhang +2

In this paper, we study the likelihood of Bernie Sanders supporters voting for Donald Trump instead of Hillary Clinton. Building from a unique time-series dataset of the three cand…

cs.SI2016

Voting with Feet: Who are Leaving Hillary Clinton and Donald Trump?

Yu Wang, Yuncheng Li, Quanzeng You +3

From a crowded field with 17 candidates, Hillary Clinton and Donald Trump have emerged as the two front-runners in the 2016 U.S. presidential campaign. The two candidates each boas…