{"id":"https://openalex.org/W4256346759","doi":"https://doi.org/10.1145/2492002.2482571","title":"Incentives, gamification, and game theory","display_name":"Incentives, gamification, and game theory","publication_year":2013,"publication_date":"2013-06-11","ids":{"openalex":"https://openalex.org/W4256346759","doi":"https://doi.org/10.1145/2492002.2482571"},"language":"en","primary_location":{"id":"doi:10.1145/2492002.2482571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492002.2482571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourteenth ACM conference on Electronic commerce","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/A5017669758","display_name":"David Easley","orcid":"https://orcid.org/0000-0002-6405-4134"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Easley","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100607328","display_name":"Arpita Ghosh","orcid":"https://orcid.org/0000-0001-6700-0409"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arpita Ghosh","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":9.7688,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.9784395,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9972000122070312,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9941999912261963,"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/incentive","display_name":"Incentive","score":0.8394488096237183},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5836001634597778},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5536165237426758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5507012605667114},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5072886347770691},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4635201394557953},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.4456093907356262},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34856826066970825},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23220792412757874},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.13728490471839905},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10280552506446838}],"concepts":[{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.8394488096237183},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5836001634597778},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5536165237426758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5507012605667114},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5072886347770691},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4635201394557953},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.4456093907356262},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34856826066970825},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23220792412757874},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.13728490471839905},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10280552506446838},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2492002.2482571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492002.2482571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourteenth ACM conference on Electronic commerce","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1939024164","https://openalex.org/W1980700045","https://openalex.org/W1994790816","https://openalex.org/W2022454695","https://openalex.org/W2035683813","https://openalex.org/W2043634452","https://openalex.org/W2050904362","https://openalex.org/W2058495110","https://openalex.org/W2086170941","https://openalex.org/W2096563796","https://openalex.org/W2118869559","https://openalex.org/W2124810512","https://openalex.org/W2127576207","https://openalex.org/W2166418979","https://openalex.org/W3105231985"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2560936962","https://openalex.org/W2788727012","https://openalex.org/W4388203630","https://openalex.org/W2367468089","https://openalex.org/W2358591856","https://openalex.org/W2526386912","https://openalex.org/W2098133976","https://openalex.org/W2347416728","https://openalex.org/W2468219149"],"abstract_inverted_index":{"Gamification":[0],"is":[1],"growing":[2],"increasingly":[3],"prevalent":[4],"as":[5,26,72],"a":[6,34,38,104,118,141],"means":[7],"to":[8,32,42,103,117],"incentivize":[9],"user":[10,19],"engagement":[11],"of":[12,80,97,107],"social":[13],"media":[14],"sites":[15,56,70],"that":[16,29,110,115],"rely":[17],"on":[18,37,99,140],"contributions.":[20],"Badges,":[21],"or":[22],"equivalent":[23],"rewards":[24],"such":[25,71],"top-contributor":[27],"lists":[28],"are":[30,67,124],"used":[31],"recognize":[33],"user's":[35],"contributions":[36],"site,":[39,101],"clearly":[40],"appear":[41],"be":[43],"valued":[44],"by":[45],"users":[46,90,111,139],"who":[47],"actively":[48],"pursue":[49],"and":[50,63,86,114,130,134],"compete":[51],"for":[52,64,76,91],"them.":[53],"However,":[54],"different":[55,58],"use":[57],"badge":[59],"designs,":[60],"varying":[61],"how,":[62],"what,":[65],"badges":[66,75,123],"awarded---":[68],"some":[69,94],"StackOverflow":[73],"award":[74],"meeting":[77],"fixed":[78],"levels":[79],"contribution,":[81],"while":[82],"others":[83],"like":[84],"Amazon":[85],"Y!":[87],"Answers":[88],"reward":[89],"being":[92],"amongst":[93],"top":[95],"set":[96],"contributors":[98],"the":[100,128,132],"corresponding":[102],"competitive":[105],"standard":[106],"performance.":[108],"Given":[109],"value":[112],"badges,":[113],"contributing":[116],"site":[119],"requires":[120],"effort,":[121],"how":[122],"designed":[125],"will":[126],"affect":[127],"incentives---":[129],"therefore":[131],"participation":[133],"effort---":[135],"elicited":[136],"from":[137],"strategic":[138],"site.":[142]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
