{"id":"https://openalex.org/W4410486484","doi":"https://doi.org/10.1145/3717867.3717884","title":"Political Leanings in Web3 Betting: Decoding the Interplay of Political and Profitable Motives","display_name":"Political Leanings in Web3 Betting: Decoding the Interplay of Political and Profitable Motives","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4410486484","doi":"https://doi.org/10.1145/3717867.3717884"},"language":"en","primary_location":{"id":"doi:10.1145/3717867.3717884","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3717867.3717884","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3717867.3717884","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Web Science Conference 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3717867.3717884","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022661905","display_name":"Hongzhou Chen","orcid":"https://orcid.org/0000-0002-8310-3202"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhou Chen","raw_affiliation_strings":["The Chinese University of Hong Kong, Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8310-3202","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032485847","display_name":"Xiaolin Duan","orcid":"https://orcid.org/0000-0002-7284-9586"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Duan","raw_affiliation_strings":["The Chinese University of Hong Kong, Shenzhen, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-7284-9586","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109797436","display_name":"Abdulmotaleb El Saddik","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdulmotaleb El Saddik","raw_affiliation_strings":["MCRLab, University of Ottawa, Ottawa, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7690-8547","affiliations":[{"raw_affiliation_string":"MCRLab, University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053432286","display_name":"Wei Cai","orcid":"https://orcid.org/0000-0002-4658-0034"},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Cai","raw_affiliation_strings":["University of Washington, Tacoma, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-4658-0034","affiliations":[{"raw_affiliation_string":"University of Washington, Tacoma, Washington, USA","institution_ids":["https://openalex.org/I4210150356"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11705","display_name":"Gambling Behavior and Treatments","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.8525018095970154},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.791032075881958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42872172594070435},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.41597533226013184},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.33429354429244995},{"id":"https://openalex.org/keywords/law-and-economics","display_name":"Law and economics","score":0.3233596682548523},{"id":"https://openalex.org/keywords/political-economy","display_name":"Political economy","score":0.3227279782295227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15790432691574097},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.14818096160888672}],"concepts":[{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.8525018095970154},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.791032075881958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42872172594070435},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.41597533226013184},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.33429354429244995},{"id":"https://openalex.org/C190253527","wikidata":"https://www.wikidata.org/wiki/Q295354","display_name":"Law and economics","level":1,"score":0.3233596682548523},{"id":"https://openalex.org/C138921699","wikidata":"https://www.wikidata.org/wiki/Q47555","display_name":"Political economy","level":1,"score":0.3227279782295227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15790432691574097},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.14818096160888672}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3717867.3717884","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3717867.3717884","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3717867.3717884","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Web Science Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3717867.3717884","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3717867.3717884","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3717867.3717884","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Web Science Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410486484.pdf","grobid_xml":"https://content.openalex.org/works/W4410486484.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1655203505","https://openalex.org/W1914388215","https://openalex.org/W1971654961","https://openalex.org/W2015489921","https://openalex.org/W2015736731","https://openalex.org/W2036229720","https://openalex.org/W2108525416","https://openalex.org/W2120832833","https://openalex.org/W2120922266","https://openalex.org/W2129719636","https://openalex.org/W2161666106","https://openalex.org/W2304816766","https://openalex.org/W2323086467","https://openalex.org/W2342270822","https://openalex.org/W2345368148","https://openalex.org/W2524941151","https://openalex.org/W2532415581","https://openalex.org/W2882764048","https://openalex.org/W3006723314","https://openalex.org/W3122013492","https://openalex.org/W3123058965","https://openalex.org/W3124503851","https://openalex.org/W3125571537","https://openalex.org/W4249407388","https://openalex.org/W4294786836","https://openalex.org/W4312820073","https://openalex.org/W4388196927"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W3203142394","https://openalex.org/W2351061015","https://openalex.org/W4220731478","https://openalex.org/W1974101135","https://openalex.org/W2017509870","https://openalex.org/W4251141768","https://openalex.org/W4360952157"],"abstract_inverted_index":{"Harnessing":[0],"blockchain's":[1,93],"transparent":[2],"user":[3],"behavior":[4],"data,":[5],"we":[6,24],"construct":[7],"the":[8,38,47,78,100],"Political":[9],"Betting":[10],"Leaning":[11],"Score":[12],"(PBLS)":[13],"to":[14,87],"measure":[15],"political":[16,44,81],"leanings":[17,45],"in":[18,95,112],"Web3":[19],"prediction":[20,104],"markets.Focusing":[21],"on":[22],"Polymarket,":[23],"analyze":[25],"behaviors":[26],"across":[27],"more":[28],"than":[29],"15,000":[30],"addresses,":[31],"4,500":[32],"events,":[33],"and":[34,40,55,58,82,98,114],"8,500":[35],"markets,":[36],"capturing":[37],"intensity":[39],"direction":[41],"of":[42,103],"their":[43],"by":[46],"PBLS.We":[48],"validate":[49],"PBLS":[50],"through":[51],"internal":[52],"consistency":[53],"checks":[54],"external":[56],"comparisons":[57],"explore":[59],"its":[60],"relationships":[61],"with":[62],"over":[63],"800":[64],"behavioral":[65],"features.A":[66],"2022":[67],"U.S.":[68],"Senate":[69],"election":[70],"case":[71],"demonstrates":[72],"our":[73],"measurement's":[74],"effectiveness":[75],"while":[76],"decoding":[77],"interaction":[79],"between":[80],"profitable":[83],"motives.The":[84],"insights":[85],"contribute":[86],"understanding":[88],"decentralized":[89],"market":[90],"behavior,":[91],"demonstrate":[92],"potential":[94],"innovative":[96],"studies,":[97],"advance":[99],"broader":[101],"development":[102],"markets.":[105],"CCS":[106],"Concepts":[107],"Human-centered":[108],"computing":[109],"Empirical":[110],"studies":[111],"collaborative":[113],"social":[115],"computing.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
