Political Leanings in Web3 Betting: Decoding the Interplay of Political and Profitable Motives

Harnessing blockchain's transparent user behavior data, we construct the Political Betting Leaning Score (PBLS) to measure political leanings in Web3 prediction markets.Focusing on Polymarket, we analyze behaviors across more than 15,000 addresses, 4,500 events, and 8,500 markets, capturing the intensity and direction of their political leanings by the PBLS.We validate PBLS through internal consistency checks and external comparisons and explore its relationships with over 800 behavioral features.A 2022 U.S. Senate election case demonstrates our measurement's effectiveness while decoding the interaction between political and profitable motives.The insights contribute to understanding decentralized market behavior, demonstrate blockchain's potential in innovative studies, and advance the broader development of prediction markets. CCS Concepts Human-centered computing Empirical studies in collaborative and social computing.

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Publication Details

Published
2025-05-19
DOI
https://doi.org/10.1145/3717867.3717884
Citations
2
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
6.26

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article

Political Leanings in Web3 Betting: Decoding the Interplay of Political and Profitable Motives

Hongzhou Chen, Xiaolin Duan, Wei Cai, Abdulmotaleb El Saddik
2 citations
Sports Analytics and Performance
6.26
article

Political Leanings in Web3 Betting: Decoding the Interplay of Political and Profitable Motives

Hongzhou Chen, Xiaolin Duan, Wei Cai, Abdulmotaleb El Saddik
article en
2 citations

Abstract

Harnessing blockchain's transparent user behavior data, we construct the Political Betting Leaning Score (PBLS) to measure political leanings in Web3 prediction markets.Focusing on Polymarket, we analyze behaviors across more than 15,000 addresses, 4,500 events, and 8,500 markets, capturing the intensity and direction of their political leanings by the PBLS.We validate PBLS through internal consistency checks and external comparisons and explore its relationships with over 800 behavioral features.A 2022 U.S. Senate election case demonstrates our measurement's effectiveness while decoding the interaction between political and profitable motives.The insights contribute to understanding decentralized market behavior, demonstrate blockchain's potential in innovative studies, and advance the broader development of prediction markets. CCS Concepts Human-centered computing Empirical studies in collaborative and social computing.

University of Ottawa (CA), Chinese University of Hong Kong, Shenzhen (CN), University of Washington Tacoma (US)
Ministry of Industry and Information Technology of the People's Republic of China
Decent work and economic growth
Openalex Percentile: Top 4%
Sports Analytics and Performance
6.26
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