{"id":"https://openalex.org/W4412394926","doi":"https://doi.org/10.1145/3726302.3729972","title":"Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop","display_name":"Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412394926","doi":"https://doi.org/10.1145/3726302.3729972"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3729972","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729972","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729972","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/10.1145/3726302.3729972","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102010069","display_name":"Yuqi Zhou","orcid":"https://orcid.org/0009-0008-2453-9138"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqi Zhou","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075518954","display_name":"Sunhao Dai","orcid":"https://orcid.org/0009-0002-7549-0860"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sunhao Dai","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004759804","display_name":"Liang Pang","orcid":"https://orcid.org/0000-0003-1161-8546"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Pang","raw_affiliation_strings":["CAS Key Laboratory of AI Safety, Institute of Computing Technology Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of AI Safety, Institute of Computing Technology Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002333577","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-8795-8953"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021124418","display_name":"Zhenhua Dong","orcid":"https://orcid.org/0000-0002-2231-4663"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Dong","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020766468","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-7170-111X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102010069"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":6.1,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.96140536,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1676","last_page":"1686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.994700014591217,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.994700014591217,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9830999970436096,"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"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9695000052452087,"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/recommender-system","display_name":"Recommender system","score":0.7574649453163147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7453150749206543},{"id":"https://openalex.org/keywords/feedback-loop","display_name":"Feedback loop","score":0.7312897443771362},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.48174357414245605},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4076942205429077},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3470647633075714},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32462525367736816}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7574649453163147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453150749206543},{"id":"https://openalex.org/C186886427","wikidata":"https://www.wikidata.org/wiki/Q5441213","display_name":"Feedback loop","level":2,"score":0.7312897443771362},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.48174357414245605},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4076942205429077},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3470647633075714},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32462525367736816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3729972","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729972","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729972","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3729972","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729972","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729972","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4947962372","display_name":null,"funder_award_id":"62472426, 62276248","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7128300003","display_name":null,"funder_award_id":"2023YFA1008704","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G8394619546","display_name":null,"funder_award_id":"2023111","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G986537704","display_name":null,"funder_award_id":"62276248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412394926.pdf","grobid_xml":"https://content.openalex.org/works/W4412394926.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2027731328","https://openalex.org/W2090883204","https://openalex.org/W2187089797","https://openalex.org/W2747329762","https://openalex.org/W2750779823","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W3130740428","https://openalex.org/W4288079542","https://openalex.org/W4368755500","https://openalex.org/W4386728933","https://openalex.org/W4388955642","https://openalex.org/W4389519918","https://openalex.org/W4392367398","https://openalex.org/W4392384604","https://openalex.org/W4392846385","https://openalex.org/W4394947904","https://openalex.org/W4394994587","https://openalex.org/W4396722682","https://openalex.org/W4396758712","https://openalex.org/W4400528177","https://openalex.org/W4400529824","https://openalex.org/W4400606525","https://openalex.org/W4401213616","https://openalex.org/W4401834466","https://openalex.org/W4401857670","https://openalex.org/W4401863498","https://openalex.org/W4403220611","https://openalex.org/W4404534210","https://openalex.org/W4407953173","https://openalex.org/W4412377295","https://openalex.org/W6614377781"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386728952","https://openalex.org/W4213045373","https://openalex.org/W2375499102","https://openalex.org/W2381125525","https://openalex.org/W3084132679","https://openalex.org/W4301401229","https://openalex.org/W3089214483","https://openalex.org/W2024563306","https://openalex.org/W4311118063"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"are":[2,86,237],"essential":[3],"for":[4,13,121],"information":[5],"access,":[6],"allowing":[7],"users":[8],"to":[9,49,71,141,185,204],"present":[10],"their":[11],"content":[12,24,39,153,176,207,229],"recommendation.":[14],"With":[15],"the":[16,28,38,54,90,94,101,118,125,132,145,175,231],"rise":[17],"of":[18,30,37,58,96,104],"large":[19],"language":[20],"models":[21,82],"(LLMs),":[22],"AI-generated":[23],"(AIGC),":[25],"primarily":[26],"in":[27,89,188,230],"form":[29],"text,":[31],"has":[32],"become":[33],"a":[34,108,164,179,186,197,211,223],"central":[35],"part":[36],"ecosystem.":[40,232],"As":[41],"AIGC":[42,70,85,122,129,150,156,173,215,226],"becomes":[43],"increasingly":[44],"prevalent,":[45],"it":[46,52,182],"is":[47],"important":[48],"understand":[50],"how":[51],"affects":[53],"performance":[55],"and":[56,131,158,227,235],"dynamics":[57],"recommender":[59,91],"systems.":[60],"To":[61,98,191],"this":[62],"end,":[63],"we":[64,106,195],"construct":[65],"an":[66],"environment":[67,213],"that":[68,84,117,171],"incorporates":[69],"explore":[72,100],"its":[73],"short-term":[74],"impact.":[75],"The":[76,114,233],"results":[77,115],"from":[78],"popular":[79],"sequential":[80],"recommendation":[81,189],"reveal":[83],"ranked":[87],"higher":[88],"system,":[92],"reflecting":[93],"phenomenon":[95],"source.":[97],"further":[99],"long-term":[102,165,206],"impact":[103],"AIGC,":[105],"introduce":[107],"feedback":[109,180],"loop":[110],"with":[111,214],"realistic":[112],"simulators.":[113],"show":[116,170],"model's":[119],"preference":[120],"increases":[123],"as":[124],"user":[126],"clicks":[127],"on":[128,135,201],"rises":[130],"model":[133],"trains":[134],"simulated":[136],"click":[137],"data.":[138],"This":[139],"leads":[140],"two":[142],"issues:":[143],"In":[144,210],"short":[146],"term,":[147],"bias":[148],"toward":[149],"encourages":[151],"LLM-based":[152],"creation,":[154],"increasing":[155],"content,":[157],"causing":[159],"unfair":[160],"traffic":[161],"distribution.":[162],"From":[163],"perspective,":[166],"our":[167,220],"experiments":[168],"also":[169],"when":[172],"dominates":[174],"ecosystem":[177,208],"after":[178],"loop,":[181],"can":[183],"lead":[184],"decline":[187],"performance.":[190],"address":[192],"these":[193],"issues,":[194],"propose":[196],"debiasing":[198],"method":[199,221],"based":[200],"L1-loss":[202],"optimization":[203],"maintain":[205],"balance.":[209],"real-world":[212],"generated":[216],"by":[217],"mainstream":[218],"LLMs,":[219],"ensures":[222],"balance":[224],"between":[225],"human-generated":[228],"code":[234],"dataset":[236],"available":[238],"at":[239],"https://github.com/Yuqi-Zhou/Rec_SourceBias.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
