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Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries

Authors:

Aaron Brookhouse,

H. Russell Bernard,

Jiliang TangAuthors Info & Claims

HT '21: Proceedings of the 32nd ACM Conference on Hypertext and Social Media

Pages 57 - 66

https://doi.org/10.1145/3465336.3475115

Published: 29 August 2021 Publication History

Abstract

Information is crucial to the function of a democratic society where well-informed citizens can make rational political decisions. While in the past political entities primarily utilized newspapers and later radio and television to inform the public, the political arena has transformed into a more complex structure with the rise of the Internet and online social media. Now, more than ever, people express themselves online while mainstream news agencies attempt to utilize the power of the Internet to spread their articles as much as possible. To grasp the political coexistence of mainstream media and online social media, in this paper, we analyze these two sources of information in the context of the U.S. 2020 presidential election. In particular, we collected data during the 2020 Democratic Party presidential primaries pertaining to the candidates, and, by analyzing this data, we highlight similarities and differences between these two main types of sources, detect the potential impact they have on each other, and understand how this impact relationship can change over time.

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Cited By

Farokhi SFoumani AQi XDerr TKarimi H(2025)EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social NetworksSocial Networks Analysis and Mining10.1007/978-3-031-78541-2_2(20-39)Online publication date: 24-Jan-2025
https://doi.org/10.1007/978-3-031-78541-2_2
Kheiri KKarimi H(2024)SentimentGPT: Leveraging GPT for Advancing Sentiment Analysis2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10825350(7051-7060)Online publication date: 15-Dec-2024
https://doi.org/10.1109/BigData62323.2024.10825350
Kheiri KKhan MDerr TKarimi H(2023)An Analysis of the Dynamics of Ties on Twitter2023 IEEE International Conference on Big Data (BigData)10.1109/BigData59044.2023.10386839(5809-5817)Online publication date: 15-Dec-2023
https://doi.org/10.1109/BigData59044.2023.10386839

Index Terms

Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries
1. Networks
  1. Network types
    1. Overlay and other logical network structures
      1. Social media networks

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cover image ACM Conferences

HT '21: Proceedings of the 32nd ACM Conference on Hypertext and Social Media

August 2021

306 pages

ISBN:9781450385510

DOI:10.1145/3465336

General Chair:
Owen Conlan
Trinity College Dublin, Ireland
,
Program Chair:
Eelco Herder
Radboud Universiteit Nijmegen, Netherlands

Copyright © 2021 ACM.

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Published: 29 August 2021

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HT '21: 32nd ACM Conference on Hypertext and Social Media

August 30 - September 2, 2021

Virtual Event, USA

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Cited By

Farokhi SFoumani AQi XDerr TKarimi H(2025)EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social NetworksSocial Networks Analysis and Mining10.1007/978-3-031-78541-2_2(20-39)Online publication date: 24-Jan-2025
https://doi.org/10.1007/978-3-031-78541-2_2
Kheiri KKarimi H(2024)SentimentGPT: Leveraging GPT for Advancing Sentiment Analysis2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10825350(7051-7060)Online publication date: 15-Dec-2024
https://doi.org/10.1109/BigData62323.2024.10825350
Kheiri KKhan MDerr TKarimi H(2023)An Analysis of the Dynamics of Ties on Twitter2023 IEEE International Conference on Big Data (BigData)10.1109/BigData59044.2023.10386839(5809-5817)Online publication date: 15-Dec-2023
https://doi.org/10.1109/BigData59044.2023.10386839

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