{"id":"https://openalex.org/W4405464764","doi":"https://doi.org/10.1145/3670865.3673455","title":"Calibrated Forecasting and Persuasion","display_name":"Calibrated Forecasting and Persuasion","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4405464764","doi":"https://doi.org/10.1145/3670865.3673455"},"language":"en","primary_location":{"id":"doi:10.1145/3670865.3673455","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3670865.3673455","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3670865.3673455?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3670865.3673455?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099513106","display_name":"Atulya Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I83860666","display_name":"HEC Paris","ror":"https://ror.org/0423jsj19","country_code":"FR","type":"education","lineage":["https://openalex.org/I83860666"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Atulya Jain","raw_affiliation_strings":["HEC Paris, Jouy-en-Josas, France"],"raw_orcid":"https://orcid.org/0009-0006-6422-9519","affiliations":[{"raw_affiliation_string":"HEC Paris, Jouy-en-Josas, France","institution_ids":["https://openalex.org/I83860666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067550667","display_name":"Vianney Perchet","orcid":"https://orcid.org/0000-0002-9333-264X"},"institutions":[{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]},{"id":"https://openalex.org/I84009706","display_name":"ENSAE Paris","ror":"https://ror.org/01fz7mn40","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108488","https://openalex.org/I4210145102","https://openalex.org/I84009706"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vianney Perchet","raw_affiliation_strings":["Criteo AI Lab, Paris, France","ENSAE, Palaiseau, France","Fairplay joint team, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-9333-264X","affiliations":[{"raw_affiliation_string":"Criteo AI Lab, Paris, France","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"ENSAE, Palaiseau, France","institution_ids":["https://openalex.org/I84009706"]},{"raw_affiliation_string":"Fairplay joint team, Paris, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5099513106"],"corresponding_institution_ids":["https://openalex.org/I83860666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2140688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"489","last_page":"489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.11900000274181366,"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"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.11900000274181366,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.10329999774694443,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/persuasion","display_name":"Persuasion","score":0.8668714165687561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5530961155891418},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19161775708198547},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08898547291755676}],"concepts":[{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.8668714165687561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5530961155891418},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19161775708198547},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08898547291755676}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670865.3673455","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3670865.3673455","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3670865.3673455?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3670865.3673455","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3670865.3673455","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3670865.3673455?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405464764.pdf","grobid_xml":"https://content.openalex.org/works/W4405464764.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1193337282","https://openalex.org/W1662240627","https://openalex.org/W2161303371","https://openalex.org/W3169835994","https://openalex.org/W1546646725","https://openalex.org/W1974065322","https://openalex.org/W1536610849"],"abstract_inverted_index":{"How":[0],"should":[1],"an":[2,22,98],"expert":[3,23,102,127],"send":[4],"forecasts":[5,26,66],"to":[6,11,27,42,58,120],"maximize":[7],"her":[8],"utility":[9],"subject":[10],"passing":[12],"a":[13,18,28,35,59,70,79,108,135],"calibration":[14,36,118,141],"test?":[15],"We":[16,47,89,123],"consider":[17,107],"dynamic":[19,56],"game":[20,57],"where":[21],"sends":[24],"probabilistic":[25],"decision":[29,32,109],"maker.":[30],"The":[31],"maker":[33,110],"uses":[34,112],"test":[37],"based":[38],"on":[39],"past":[40],"outcomes":[41],"verify":[43],"the":[44,49,55,83,91,117,126,131,140],"expert's":[45],"forecasts.":[46],"characterize":[48,90],"optimal":[50],"forecasting":[51],"strategy":[52,72],"by":[53,69,95],"reducing":[54],"static":[60],"persuasion":[61],"problem.":[62],"A":[63],"distribution":[64,84],"of":[65,82,85,93,116],"is":[67,78],"implementable":[68],"calibrated":[71],"if":[73,76],"and":[74,100,143],"only":[75],"it":[77],"mean-preserving":[80],"contraction":[81],"conditionals":[86],"(honest":[87],"forecasts).":[88],"value":[92],"information":[94],"comparing":[96],"what":[97],"informed":[99],"uninformed":[101],"can":[103,128,148],"attain.":[104],"Moreover,":[105],"we":[106],"who":[111],"regret":[113,136],"minimization,":[114],"instead":[115],"test,":[119,142],"take":[121],"actions.":[122],"show":[124],"that":[125],"always":[129],"achieve":[130,149],"same":[132],"payoff":[133],"against":[134],"minimizer":[137],"as":[138],"under":[139],"in":[144],"some":[145],"instances,":[146],"she":[147],"strictly":[150],"more.":[151],"URL:":[152],"https://atulya-jain.github.io/files/calibration.pdf":[153]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}