{"id":"https://openalex.org/W3176799022","doi":"https://doi.org/10.1145/3447535.3462512","title":"Trick and Please. A Mixed-Method Study On User Assumptions About the TikTok Algorithm","display_name":"Trick and Please. A Mixed-Method Study On User Assumptions About the TikTok Algorithm","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3176799022","doi":"https://doi.org/10.1145/3447535.3462512","mag":"3176799022"},"language":"en","primary_location":{"id":"doi:10.1145/3447535.3462512","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447535.3462512","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447535.3462512","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th ACM Web Science Conference 2021","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/10.1145/3447535.3462512","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052798560","display_name":"Daniel Klug","orcid":"https://orcid.org/0000-0003-2320-3321"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Klug","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066247656","display_name":"Yiluo Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiluo Qin","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087808529","display_name":"Morgan C. Evans","orcid":"https://orcid.org/0009-0002-2030-9155"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Morgan Evans","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001206045","display_name":"Geoff Kaufman","orcid":"https://orcid.org/0000-0002-0123-3792"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geoff Kaufman","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052798560"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":43.6278,"has_fulltext":true,"cited_by_count":174,"citation_normalized_percentile":{"value":0.99852353,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10355","display_name":"Impact of Technology on Adolescents","score":0.9897000193595886,"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/T10355","display_name":"Impact of Technology on Adolescents","score":0.9897000193595886,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9868000149726868,"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/computer-science","display_name":"Computer science","score":0.746421754360199},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6384270191192627},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5456649661064148},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4809924364089966},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4802553951740265},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36764779686927795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746421754360199},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6384270191192627},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5456649661064148},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4809924364089966},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4802553951740265},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36764779686927795},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447535.3462512","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447535.3462512","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447535.3462512","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th ACM Web Science Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3447535.3462512","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447535.3462512","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447535.3462512","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th ACM Web Science Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3176799022.pdf","grobid_xml":"https://content.openalex.org/works/W3176799022.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1540016313","https://openalex.org/W1604857681","https://openalex.org/W1914972138","https://openalex.org/W1989630473","https://openalex.org/W2039590313","https://openalex.org/W2100047082","https://openalex.org/W2109741756","https://openalex.org/W2122036089","https://openalex.org/W2140553307","https://openalex.org/W2149252982","https://openalex.org/W2149868499","https://openalex.org/W2151572696","https://openalex.org/W2343579646","https://openalex.org/W2346730719","https://openalex.org/W2349968624","https://openalex.org/W2398039823","https://openalex.org/W2405896853","https://openalex.org/W2464017393","https://openalex.org/W2610506437","https://openalex.org/W2773044688","https://openalex.org/W2783918171","https://openalex.org/W2784259015","https://openalex.org/W2796239588","https://openalex.org/W2809815139","https://openalex.org/W2926845718","https://openalex.org/W2958157799","https://openalex.org/W2964282041","https://openalex.org/W2981070927","https://openalex.org/W3002257861","https://openalex.org/W3005107068","https://openalex.org/W3005813060","https://openalex.org/W3015240284","https://openalex.org/W3017863658","https://openalex.org/W3023481589","https://openalex.org/W3035388041","https://openalex.org/W3037169037","https://openalex.org/W3041322165","https://openalex.org/W3041943284","https://openalex.org/W3047638643","https://openalex.org/W3082567345","https://openalex.org/W3091951882","https://openalex.org/W3097964452","https://openalex.org/W3099162419","https://openalex.org/W3111534565","https://openalex.org/W3115897354","https://openalex.org/W3116296706","https://openalex.org/W3117869560","https://openalex.org/W3119733760","https://openalex.org/W3123415290","https://openalex.org/W3163097514","https://openalex.org/W4244505267","https://openalex.org/W4248794748"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2952704802","https://openalex.org/W2093123876","https://openalex.org/W4388192780","https://openalex.org/W2217604302"],"abstract_inverted_index":{"The":[0],"short-form":[1],"video":[2,17,111,157,174],"sharing":[3],"app":[4,252],"TikTok":[5,64,98,128,245],"is":[6,254],"characterized":[7],"by":[8,20,145],"content-based":[9],"interactions":[10],"that":[11,33,155,182,204,253],"largely":[12],"depend":[13],"on":[14,51,237,267],"individually":[15],"customized":[16],"feeds":[18],"curated":[19],"the":[21,63,75,108,127,170,176,189,200,224,273],"app\u2019s":[22],"recommendation":[23],"algorithm.":[24],"Algorithms":[25],"are":[26],"generally":[27],"invisible":[28],"mechanisms":[29],"within":[30],"socio-technical":[31,276],"systems":[32,277],"can":[34],"influence":[35,107],"how":[36,44,62,70],"we":[37,45],"perceive":[38],"online":[39],"and":[40,43,55,68,73,100,115,117,131,138,162,194,214,270,278,283],"offline":[41],"reality,":[42],"interact":[46],"with":[47,97],"each":[48],"other.":[49],"Based":[50],"experiences":[52],"from":[53,126],"consuming":[54],"creating":[56],"videos,":[57],"users":[58,99],"develop":[59],"assumptions":[60],"about":[61,69],"algorithm":[65,76,171,208],"might":[66],"work,":[67],"to":[71,77,86,140,165,175,223,234],"trick":[72],"please":[74],"make":[78],"their":[79],"videos":[80,125,184,222],"trend":[81],"so":[82],"it":[83,192],"pushes":[84],"them":[85],"other":[87],"users\u2019":[88],"\u2018for":[89],"you\u2019":[90],"pages.":[91],"We":[92,121,179],"conducted":[93],"28":[94],"qualitative":[95],"interviews":[96],"identified":[101],"three":[102],"main":[103],"criteria":[104,147],"they":[105],"assume":[106],"platform\u2019s":[109],"algorithm:":[110],"engagement,":[112],"posting":[113,183],"time,":[114],"adding":[116],"piling":[118,215],"up":[119,216],"hashtags.":[120],"then":[122],"collected":[123],"300,617":[124],"trending":[129,149,177,193,206,217,225],"section":[130,226],"performed":[132],"a":[133,166,173,250,264],"series":[134],"of":[135,169,191,240,275],"data":[136,152],"exploration":[137],"analysis":[139,153],"test":[141],"these":[142],"user":[143,238,268],"assumption":[144,203],"determining":[146],"for":[148,249],"videos.":[150],"Our":[151,231,261],"confirms":[154],"higher":[156,167,196],"engagement":[158],"through":[159],"comments,":[160],"likes,":[161],"shares":[163],"leads":[164],"chance":[168],"pushing":[172],"section.":[178],"also":[180],"find":[181],"at":[185],"certain":[186],"times":[187],"increases":[188],"chances":[190],"reaching":[195],"popularity.":[197],"In":[198],"contrast,":[199],"highly":[201],"common":[202],"using":[205,244],"hashtags,":[207],"related":[209],"hashtags":[210,218],"(e.g.":[211],"#fyp,":[212],"#foryou),":[213],"would":[219],"significantly":[220],"push":[221],"was":[227],"found":[228],"not":[229],"applicable.":[230],"results":[232,262],"contribute":[233],"existing":[235],"research":[236],"understanding":[239],"social":[241,279],"media":[242,280],"algorithms":[243],"as":[246],"an":[247],"example":[248],"short-video":[251],"explicitly":[255],"built":[256],"around":[257],"algorithmic":[258],"content":[259,281],"recommendation.":[260],"provide":[263],"broader":[265],"perspective":[266],"beliefs":[269],"behavior":[271],"in":[272],"context":[274],"creation":[282],"consumption.":[284]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":50},{"year":2024,"cited_by_count":43},{"year":2023,"cited_by_count":45},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
