{"id":"https://openalex.org/W4383557924","doi":"https://doi.org/10.1145/3580507.3597769","title":"Blockchain Mediated Persuasion","display_name":"Blockchain Mediated Persuasion","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4383557924","doi":"https://doi.org/10.1145/3580507.3597769"},"language":"en","primary_location":{"id":"doi:10.1145/3580507.3597769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580507.3597769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047803413","display_name":"Kimon Drakopoulos","orcid":"https://orcid.org/0000-0001-8288-5874"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kimon Drakopoulos","raw_affiliation_strings":["University of Southern California, Los Angeles, California, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-8288-5874","affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California, United States of America","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085852122","display_name":"Irene Lo","orcid":"https://orcid.org/0000-0002-0678-3494"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Irene Lo","raw_affiliation_strings":["Stanford University, Stanford, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-0678-3494","affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, California, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045930894","display_name":"Justin Mulvany","orcid":"https://orcid.org/0000-0003-2625-4511"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Mulvany","raw_affiliation_strings":["University of Southern California, Los Angeles, California, USA"],"raw_orcid":"https://orcid.org/0000-0003-2625-4511","affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047803413"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.4931,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67693136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"538","last_page":"538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/communication-source","display_name":"Communication source","score":0.9076428413391113},{"id":"https://openalex.org/keywords/persuasion","display_name":"Persuasion","score":0.7875925302505493},{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.7840089797973633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322112321853638},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.47099632024765015},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.4582142233848572},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.45491528511047363},{"id":"https://openalex.org/keywords/cheap-talk","display_name":"Cheap talk","score":0.43816930055618286},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27607274055480957},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.18776240944862366},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18248581886291504},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.14649838209152222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.131092369556427},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10156503319740295}],"concepts":[{"id":"https://openalex.org/C198104137","wikidata":"https://www.wikidata.org/wiki/Q974688","display_name":"Communication source","level":2,"score":0.9076428413391113},{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.7875925302505493},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.7840089797973633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322112321853638},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.47099632024765015},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.4582142233848572},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.45491528511047363},{"id":"https://openalex.org/C106485872","wikidata":"https://www.wikidata.org/wiki/Q5088884","display_name":"Cheap talk","level":2,"score":0.43816930055618286},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27607274055480957},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.18776240944862366},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18248581886291504},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.14649838209152222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.131092369556427},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10156503319740295},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580507.3597769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580507.3597769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2491046942","https://openalex.org/W3121486233","https://openalex.org/W3159257170","https://openalex.org/W2800341468","https://openalex.org/W3121547760","https://openalex.org/W3134970591","https://openalex.org/W2014794908","https://openalex.org/W4320164762","https://openalex.org/W2127920220","https://openalex.org/W3141526907"],"abstract_inverted_index":{"In":[0,118],"the":[1,16,23,40,44,71,92,100,104],"classic":[2],"Bayesian":[3],"Persuasion":[4],"model":[5],"studied":[6],"by":[7,52],"[Kamenica":[8],"and":[9,98],"Gentzkow,":[10],"2011],":[11],"there":[12],"are":[13,123],"two":[14],"players:":[15],"first,":[17],"called":[18,25],"Sender,":[19],"wishes":[20],"to":[21,27,63,78,90,96,116],"persuade":[22],"second,":[24],"Receiver,":[26],"take":[28],"a":[29,57,79],"desired":[30],"action.":[31],"Provided":[32],"that":[33,73,102],"Sender":[34,46,74,89],"is":[35,84],"ex-post":[36,86],"better":[37],"informed":[38],"about":[39],"underlying":[41],"state":[42],"of":[43],"world,":[45],"can":[47,75],"leverage":[48],"their":[49],"informational":[50],"advantage":[51],"communicating":[53],"with":[54],"Receiver":[55,108],"via":[56],"signal":[58,80],"mechanism.":[59,81],"However,":[60],"Sender's":[61,114],"ability":[62,115],"effectively":[64],"manage":[65],"Receiver's":[66],"beliefs":[67],"largely":[68],"hinges":[69],"on":[70],"assumption":[72],"credibly":[76],"commit":[77],"Usually,":[82],"it":[83],"not":[85,110],"optimal":[87],"for":[88],"follow":[91],"mechanism,":[93],"but":[94],"instead":[95],"deviate":[97],"send":[99],"message":[101],"generates":[103],"highest":[105],"payoff.":[106],"Consequently,":[107],"may":[109],"have":[111],"faith":[112],"in":[113],"commit.":[117],"this":[119],"case,":[120],"all":[121],"bets":[122],"off:":[124],"persuasion":[125],"devolves":[126],"into":[127],"cheap":[128],"talk.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}