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相关论文: Voting with Feet: Who are Leaving Hillary Clinton …

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In this paper, we study follower demographics of Donald Trump and Hillary Clinton, the two leading candidates in the 2016 U.S. presidential race. We build a unique dataset US2016, which includes the number of followers for each candidate…

社会与信息网络 · 计算机科学 2016-03-11 Yu Wang , Yuncheng Li , Jiebo Luo

In this paper, we propose a data-driven method to measure the impact of the 'woman card' exchange between Hillary Clinton and Donald Trump. Building from a unique dataset of the two candidates' Twitter followers, we first examine the…

社会与信息网络 · 计算机科学 2016-05-19 Yu Wang , Yang Feng , Yuncheng Li , Xiyang Zhang , Richard Niemi , Jiebo Luo

The 2016 U.S. presidential election has witnessed the major role of Twitter in the year's most important political event. Candidates used this social media platform extensively for online campaigns. Meanwhile, social media has been filled…

社会与信息网络 · 计算机科学 2017-04-11 Zhiwei Jin , Juan Cao , Han Guo , Yongdong Zhang , Yu Wang , Jiebo Luo

We applied complex network analysis to ~27,000 tweets posted by the 2016 presidential election's principal participants in the USA. We identified the stages of the election campaigns and the recurring topics addressed by the candidates.…

社会与信息网络 · 计算机科学 2020-09-30 Dmitry Zinoviev

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 candidates' Twitter followers, which we make public here, we…

社会与信息网络 · 计算机科学 2016-06-01 Yu Wang , Yang Feng , Xiyang Zhang , Richard Niemi , Jiebo Luo

Measuring and forecasting opinion trends from real-time social media is a long-standing goal of big-data analytics. Despite its importance, there has been no conclusive scientific evidence so far that social media activity can capture the…

社会与信息网络 · 计算机科学 2018-09-12 Alexandre Bovet , Flaviano Morone , Hernan A. Makse

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, where Trump and Clinton depicted two radically different…

社会与信息网络 · 计算机科学 2017-11-03 Yu Wang , Yang Feng , Zhe Hong , Ryan Berger , Jiebo Luo

Motivated by the two paradoxical facts that the marginal cost of following one extra candidate is close to zero and that the majority of Twitter users choose to follow only one or two candidates, we study the Twitter follow behaviors…

社会与信息网络 · 计算机科学 2017-02-02 Yu Wang , Xiyang Zhang , Jiebo Luo

In this paper, we provide a quantitative and qualitative analyses of the viral tweets related to the US presidential election. In our study, we focus on analyzing the most retweeted 50 tweets for everyday during September and October 2016.…

社会与信息网络 · 计算机科学 2016-11-04 Walid Magdy , Kareem Darwish

Polls posted on social media have emerged in recent years as an important tool for estimating public opinion, e.g., to gauge public support for business decisions and political candidates in national elections. Here, we examine nearly two…

社会与信息网络 · 计算机科学 2024-06-06 Stephen Scarano , Vijayalakshmi Vasudevan , Chhandak Bagchi , Mattia Samory , JungHwan Yang , Przemyslaw A. Grabowicz

In almost every election cycle, the validity of the United States Electoral College is brought into question. The 2016 Presidential Election again brought up the issue of a candidate winning the popular vote but not winning the Electoral…

综合经济学 · 经济学 2019-01-24 Robert Chuchro , Kyle D'Souza , Darren Mei

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 frequently accused of sexism. In this paper, we introduce…

社会与信息网络 · 计算机科学 2016-11-10 Yu Wang , Yang Feng , Xiyang Zhang , Jiebo Luo

We propose a framework to measure, evaluate, and rank campaign effectiveness in the ongoing 2016 U.S. presidential election. Using Twitter data collected from Sept. 2015 to Jan. 2016, we first uncover the tweeting tactics of the candidates…

社会与信息网络 · 计算机科学 2017-04-10 Yu Wang , Xiyang Zhang , Jiebo Luo

The 2024 U.S. presidential election has sparked widespread online discussions about the presidential candidates. Joe Biden's withdrawal from the race and Kamala Harris's subsequent entry as the Democratic candidate likely alter the dynamics…

社会与信息网络 · 计算机科学 2024-10-22 Yuwei Chuai , Gabriele Lenzini

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, we first uncover the tweeting tactics of the candidates and…

社会与信息网络 · 计算机科学 2016-11-11 Yu Wang , Yang Feng , Xiyang Zhang , Jiebo Luo

Individuals engaging on social media often tend to establish online communities where interactions predominantly occur among like-minded peers. While considerable efforts have been devoted to studying and delineating these communities,…

社会与信息网络 · 计算机科学 2024-08-16 Federico Albanese , Esteban Feuerstein , Pablo Balenzuela

In this paper, we present quantitative and qualitative analysis of the top retweeted tweets (viral tweets) pertaining to the US presidential elections from September 1, 2016 to Election Day on November 8, 2016. For everyday, we tagged the…

社会与信息网络 · 计算机科学 2017-07-12 Kareem Darwish , Walid Magdy , Tahar Zanouda

Social media provides a critical communication platform for political figures, but also makes them easy targets for harassment. In this paper, we characterize users who adversarially interact with political figures on Twitter using…

人机交互 · 计算机科学 2020-05-12 Yiqing Hua , Mor Naaman , Thomas Ristenpart

Thanks to their name recognition and popularity, celebrities play an important role in American politics. Celebrity endorsements could add to the momentum of a politician's campaign and win the candidate extensive media coverage. There is…

社会与信息网络 · 计算机科学 2017-12-29 Yu Wang , Jiebo Luo

Demographics, in particular, gender, age, and race, are a key predictor of human behavior. Despite the significant effect that demographics plays, most scientific studies using online social media do not consider this factor, mainly due to…

社会与信息网络 · 计算机科学 2016-03-08 Jisun An , Ingmar Weber
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