Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
110 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Do Sports and Politics Mix? Cross-Analysis of Fan Bases of Major League Sports and Presidential Candidates (2004.10142v1)

Published 21 Apr 2020 in cs.SI and physics.soc-ph

Abstract: Considering the fact that sports and politics interact in a very complex way, this interdisciplinary area remains largely untouched in data science research. Given the fact that huge fan bases exist for the major sports leagues such as NBA and NFL, it would be important for us to understand the hidden relationship between sports fans and their political preferences, and how do these preferences affect their behaviors in supporting different candidates during the presidential election. Taking advantage of the rich user data from Twitter, we propose a new metric, Congressional Devotedness Score, to model candidate preferences more accurately. Using the proposed metric, a fine-grained analysis is conducted at sport-level, state-level, and team-level for fans with strong political affiliation. While some of the findings conform to previous studies and reports, we also offer newer insights and quantitative evidences for all the findings.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (3)
  1. Shuaidong Pan (1 paper)
  2. Faner Lin (1 paper)
  3. Jiebo Luo (355 papers)

Summary

We haven't generated a summary for this paper yet.