{"id":"https://openalex.org/W2899349505","doi":"https://doi.org/10.1145/3274291","title":"Framing Effects","display_name":"Framing Effects","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2899349505","doi":"https://doi.org/10.1145/3274291","mag":"2899349505"},"language":"en","primary_location":{"id":"doi:10.1145/3274291","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3274291","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-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/A5029563909","display_name":"Tal August","orcid":"https://orcid.org/0000-0001-6726-4009"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tal August","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048216582","display_name":"Nigini Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nigini Oliveira","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079270249","display_name":"Chenhao Tan","orcid":"https://orcid.org/0000-0002-3981-2116"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenhao Tan","raw_affiliation_strings":["University of Colorado Boulder, Boulder, CO, USA"],"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088517824","display_name":"Noah A. Smith","orcid":"https://orcid.org/0000-0002-2310-6380"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah Smith","raw_affiliation_strings":["University of Washington &amp; Allen Institute for Artificial Intelligence, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington &amp; Allen Institute for Artificial Intelligence, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210156221","https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076852435","display_name":"Katharina Reinecke","orcid":"https://orcid.org/0000-0001-7897-9325"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katharina Reinecke","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029563909"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":3.9917,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.942665,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":"CSCW","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9929999709129333,"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"}},"topics":[{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9929999709129333,"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"}},{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9771000146865845,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/slogan","display_name":"Slogan","score":0.9777518510818481},{"id":"https://openalex.org/keywords/framing","display_name":"Framing (construction)","score":0.7905632853507996},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6184105277061462},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5432551503181458},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.5325478911399841},{"id":"https://openalex.org/keywords/boredom","display_name":"Boredom","score":0.5048242211341858},{"id":"https://openalex.org/keywords/framing-effect","display_name":"Framing effect","score":0.4453158676624298},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4172183871269226},{"id":"https://openalex.org/keywords/demographics","display_name":"Demographics","score":0.4122299551963806},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.3516765236854553},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.3199993968009949},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.19929596781730652},{"id":"https://openalex.org/keywords/persuasion","display_name":"Persuasion","score":0.1986851990222931},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1342611312866211},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11511051654815674},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11223512887954712}],"concepts":[{"id":"https://openalex.org/C2780619561","wikidata":"https://www.wikidata.org/wiki/Q30515","display_name":"Slogan","level":3,"score":0.9777518510818481},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.7905632853507996},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6184105277061462},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5432551503181458},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.5325478911399841},{"id":"https://openalex.org/C2777589236","wikidata":"https://www.wikidata.org/wiki/Q34255","display_name":"Boredom","level":2,"score":0.5048242211341858},{"id":"https://openalex.org/C136714292","wikidata":"https://www.wikidata.org/wiki/Q1440683","display_name":"Framing effect","level":3,"score":0.4453158676624298},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4172183871269226},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.4122299551963806},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.3516765236854553},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3199993968009949},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.19929596781730652},{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.1986851990222931},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1342611312866211},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11511051654815674},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11223512887954712},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3274291","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3274291","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W159136832","https://openalex.org/W582883670","https://openalex.org/W873683380","https://openalex.org/W1888870946","https://openalex.org/W1942106934","https://openalex.org/W1979775766","https://openalex.org/W1992736048","https://openalex.org/W1994927185","https://openalex.org/W2001442493","https://openalex.org/W2001841448","https://openalex.org/W2018765455","https://openalex.org/W2033198212","https://openalex.org/W2060132316","https://openalex.org/W2061141931","https://openalex.org/W2069363469","https://openalex.org/W2072167211","https://openalex.org/W2073186871","https://openalex.org/W2080757618","https://openalex.org/W2080797804","https://openalex.org/W2080909714","https://openalex.org/W2096452841","https://openalex.org/W2099465598","https://openalex.org/W2106618426","https://openalex.org/W2107026277","https://openalex.org/W2110065044","https://openalex.org/W2114269021","https://openalex.org/W2119298903","https://openalex.org/W2119325477","https://openalex.org/W2119555207","https://openalex.org/W2137467756","https://openalex.org/W2139419413","https://openalex.org/W2142573394","https://openalex.org/W2145070660","https://openalex.org/W2149688032","https://openalex.org/W2150228737","https://openalex.org/W2157985198","https://openalex.org/W2158765536","https://openalex.org/W2170263696","https://openalex.org/W2170857652","https://openalex.org/W2181523240","https://openalex.org/W2221311665","https://openalex.org/W2251617662","https://openalex.org/W2252381086","https://openalex.org/W2295743850","https://openalex.org/W2345861870","https://openalex.org/W2467719244","https://openalex.org/W2501768606","https://openalex.org/W2606092111","https://openalex.org/W2775221904","https://openalex.org/W2785317911","https://openalex.org/W2896439933","https://openalex.org/W2912380945","https://openalex.org/W3121315632","https://openalex.org/W3123895079","https://openalex.org/W4212765250","https://openalex.org/W4401946675"],"related_works":["https://openalex.org/W1982290744","https://openalex.org/W2021163894","https://openalex.org/W2764059427","https://openalex.org/W2134972645","https://openalex.org/W2614102867","https://openalex.org/W3164847636","https://openalex.org/W4307432797","https://openalex.org/W2144803999","https://openalex.org/W2790968293","https://openalex.org/W3115315872"],"abstract_inverted_index":{"Online":[0],"experimentation":[1],"with":[2,69,178],"volunteers":[3],"relies":[4],"on":[5,27,60],"participants'":[6],"non-financial":[7],"motivations":[8,29],"to":[9,15,20,23,30,41,122,126,130,155,166],"complete":[10],"a":[11,51,118,123,131],"study,":[12],"such":[13],"as":[14,142],"altruistically":[16],"support":[17],"science":[18],"or":[19],"compare":[21],"oneself":[22,125,146],"others.":[24],"Researchers":[25],"rely":[26],"these":[28,45],"attract":[31,67,147],"study":[32,46],"participants":[33,101,148],"and":[34,72,169],"often":[35],"use":[36],"incentives,":[37],"like":[38],"performance":[39],"comparisons,":[40],"encourage":[42],"participation.":[43],"Often,":[44],"incentives":[47],"are":[48],"advertised":[49],"using":[50,164],"slogan":[52,76,97,108,115,157],"(e.g.,":[53],"\"What":[54],"is":[55],"your":[56],"thinking":[57],"style?'').":[58],"Research":[59],"framing":[61],"effects":[62],"suggests":[63],"that":[64,107],"advertisement":[65],"slogans":[66,140],"people":[68],"varying":[70],"demographics":[71],"motivations.":[73],"Could":[74],"the":[75,87,114],"advertisements":[77],"for":[78,136,163],"studies":[79],"risk":[80],"attracting":[81],"only":[82],"specific":[83],"users?":[84],"To":[85],"investigate":[86],"existence":[88],"of":[89,172],"potential":[90],"sample":[91,173],"biases,":[92],"we":[93],"measured":[94],"how":[95],"different":[96],"frames":[98,109,165],"affected":[99],"which":[100],"self-selected":[102],"into":[103],"studies.":[104,138],"We":[105,159],"found":[106],"impact":[110],"recruitment":[111,135,168],"significantly;":[112],"changing":[113],"frame":[116,121,128],"from":[117],"'supporting":[119],"science'":[120],"'comparing":[124],"others'":[127],"lead":[129],"9%":[132],"increase":[133],"in":[134,175],"some":[137],"Additionally,":[139],"framed":[141],"learning":[143],"more":[144,150],"about":[145],"significantly":[149],"motivated":[151],"by":[152],"boredom":[153],"compared":[154],"other":[156],"frames.":[158],"discuss":[160],"design":[161],"implications":[162],"improve":[167],"mitigate":[170],"sources":[171],"bias":[174],"online":[176],"research":[177],"volunteers.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-11-09T00:00:00"}
