{"id":"https://openalex.org/W2780233113","doi":"https://doi.org/10.1145/3148330.3148332","title":"Pay-per-Question","display_name":"Pay-per-Question","publication_year":2017,"publication_date":"2017-12-22","ids":{"openalex":"https://openalex.org/W2780233113","doi":"https://doi.org/10.1145/3148330.3148332","mag":"2780233113"},"language":"en","primary_location":{"id":"doi:10.1145/3148330.3148332","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148330.3148332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Conference on Supporting Groupwork","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/A5036795344","display_name":"Steve T. K. Jan","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Steve T.K. Jan","raw_affiliation_strings":["Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367585","display_name":"Chun Wang","orcid":"https://orcid.org/0000-0002-8908-9501"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun Wang","raw_affiliation_strings":["Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059150580","display_name":"Qing Zhang","orcid":"https://orcid.org/0000-0003-4279-5967"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Zhang","raw_affiliation_strings":["Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100367418","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-8910-8979"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036795344"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":2.9018,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93051898,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":1.0,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9986000061035156,"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/T10028","display_name":"Topic Modeling","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/ask-price","display_name":"Ask price","score":0.712286114692688},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6985530257225037},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5930671095848083},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.5860153436660767},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5600113272666931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5457058548927307},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5190792083740234},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.47628703713417053},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.4517320394515991},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4510825574398041},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.36685794591903687},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.3381853401660919},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.28571438789367676},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.2531728446483612},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.24451962113380432},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17462942004203796},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.1585928499698639}],"concepts":[{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.712286114692688},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6985530257225037},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5930671095848083},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.5860153436660767},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5600113272666931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5457058548927307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5190792083740234},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.47628703713417053},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.4517320394515991},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4510825574398041},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.36685794591903687},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3381853401660919},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.28571438789367676},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.2531728446483612},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.24451962113380432},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17462942004203796},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.1585928499698639},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3148330.3148332","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148330.3148332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Conference on Supporting Groupwork","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3797189155","display_name":null,"funder_award_id":"CNS-1717028","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1730818938","https://openalex.org/W1781642226","https://openalex.org/W1983653948","https://openalex.org/W1985459297","https://openalex.org/W1987421874","https://openalex.org/W1992364867","https://openalex.org/W2001383399","https://openalex.org/W2009543464","https://openalex.org/W2015237251","https://openalex.org/W2033205624","https://openalex.org/W2035309751","https://openalex.org/W2036127744","https://openalex.org/W2036226015","https://openalex.org/W2057415299","https://openalex.org/W2067022383","https://openalex.org/W2099769844","https://openalex.org/W2101578108","https://openalex.org/W2111141603","https://openalex.org/W2113922316","https://openalex.org/W2119930118","https://openalex.org/W2120196261","https://openalex.org/W2127048411","https://openalex.org/W2129251351","https://openalex.org/W2131486254","https://openalex.org/W2135555017","https://openalex.org/W2136976837","https://openalex.org/W2151401338","https://openalex.org/W2155241566","https://openalex.org/W2165248121","https://openalex.org/W2168071746","https://openalex.org/W2170932771","https://openalex.org/W2185491371","https://openalex.org/W2193899264","https://openalex.org/W2197211043","https://openalex.org/W2286400365","https://openalex.org/W2320528903","https://openalex.org/W2342901387","https://openalex.org/W2405576963","https://openalex.org/W2408574227","https://openalex.org/W2419948625","https://openalex.org/W2508989929","https://openalex.org/W2514077680","https://openalex.org/W2549577425","https://openalex.org/W2603064225","https://openalex.org/W2620644316","https://openalex.org/W2735460460","https://openalex.org/W3102641634","https://openalex.org/W3124384429"],"related_works":["https://openalex.org/W2378318982","https://openalex.org/W2355647380","https://openalex.org/W2380403597","https://openalex.org/W4317927411","https://openalex.org/W2108936692","https://openalex.org/W3121525494","https://openalex.org/W2485779257","https://openalex.org/W2392963341","https://openalex.org/W3123062756","https://openalex.org/W2770332404"],"abstract_inverted_index":{"Online":[0],"question":[1],"and":[2,17,73,146],"answer":[3],"(Q&A)":[4],"services":[5],"are":[6,134,140],"facing":[7],"key":[8],"challenges":[9],"to":[10,14,23,30,39,46,49,76,111,124,129,136,142],"motivate":[11],"domain":[12],"experts":[13,26],"provide":[15],"quick":[16,102],"high-quality":[18],"answers.":[19,36],"Recent":[20],"systems":[21,70],"seek":[22],"engage":[24],"real-world":[25],"by":[27,53],"allowing":[28],"them":[29],"set":[31],"a":[32,40,50,62,86],"price":[33,128],"on":[34,65],"their":[35,127,138,144],"This":[37],"leads":[38],"\"targeted\"":[41],"Q&A":[42,69],"model":[43,120],"where":[44],"users":[45,110,122],"ask":[47],"questions":[48,91],"target":[51],"expert":[52],"paying":[54],"the":[55,113],"price.":[56],"In":[57,117],"this":[58,119],"paper,":[59],"we":[60,96],"perform":[61],"case":[63],"study":[64],"two":[66],"emerging":[67],"targeted":[68],"Fenda":[71],"(China)":[72],"Whale":[74],"(US)":[75],"understand":[77],"how":[78],"monetary":[79],"incentives":[80],"affect":[81],"user":[82],"behavior.":[83],"By":[84],"analyzing":[85],"large":[87],"dataset":[88],"of":[89],"220K":[90],"(worth":[92],"1":[93],"million":[94],"USD),":[95],"find":[97],"that":[98],"payments":[99],"indeed":[100],"enable":[101],"answers":[103],"from":[104],"experts,":[105],"but":[106],"also":[107],"drive":[108],"certain":[109],"game":[112],"system":[114],"for":[115],"profits.":[116,131],"addition,":[118],"requires":[121],"(experts)":[123],"proactively":[125],"adjust":[126],"make":[130],"People":[132],"who":[133],"unwilling":[135],"lower":[137],"prices":[139],"likely":[141],"hurt":[143],"income":[145],"engagement":[147],"over":[148],"time.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-01-05T00:00:00"}