{"id":"https://openalex.org/W4399913643","doi":"https://doi.org/10.1145/3627043.3659541","title":"Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting","display_name":"Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting","publication_year":2024,"publication_date":"2024-06-22","ids":{"openalex":"https://openalex.org/W4399913643","doi":"https://doi.org/10.1145/3627043.3659541"},"language":"en","primary_location":{"id":"doi:10.1145/3627043.3659541","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627043.3659541","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627043.3659541","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","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/10.1145/3627043.3659541","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101533097","display_name":"Qin Ruan","orcid":"https://orcid.org/0000-0001-5822-9260"},"institutions":[{"id":"https://openalex.org/I168346926","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38","country_code":"IE","type":"funder","lineage":["https://openalex.org/I168346926"]},{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Qin Ruan","raw_affiliation_strings":["School of Computer Science, University College Dublin, Ireland and Science Foundation Ireland Centre for Research Training in Machine Learning, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Ireland and Science Foundation Ireland Centre for Research Training in Machine Learning, Ireland","institution_ids":["https://openalex.org/I168346926","https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007056124","display_name":"Jin Xu","orcid":"https://orcid.org/0000-0002-6644-8217"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]},{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Jin Xu","raw_affiliation_strings":["School of Computer Science, University College Dublin, Ireland and Insight SFI Research Centre for Data Analytics, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Ireland and Insight SFI Research Centre for Data Analytics, Ireland","institution_ids":["https://openalex.org/I42934936","https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026333045","display_name":"Susan Leavy","orcid":"https://orcid.org/0000-0002-3679-2279"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]},{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Susan Leavy","raw_affiliation_strings":["School of Information and Communication, University College Dublin, Ireland and Insight SFI Research Centre for Data Analytics, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, University College Dublin, Ireland and Insight SFI Research Centre for Data Analytics, Ireland","institution_ids":["https://openalex.org/I42934936","https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084251444","display_name":"Brian Mac Namee","orcid":"https://orcid.org/0000-0003-2518-0274"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]},{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Brian Mac Namee","raw_affiliation_strings":["School of Computer Science, University College Dublin, Ireland and Insight SFI Research Centre for Data Analytics, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Ireland and Insight SFI Research Centre for Data Analytics, Ireland","institution_ids":["https://openalex.org/I42934936","https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009000289","display_name":"Ruihai Dong","orcid":"https://orcid.org/0000-0002-2509-1370"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]},{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ruihai Dong","raw_affiliation_strings":["School of Computer Science, University College Dublin, Ireland and Insight SFI Research Centre for Data Analytics, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Ireland and Insight SFI Research Centre for Data Analytics, Ireland","institution_ids":["https://openalex.org/I42934936","https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101533097"],"corresponding_institution_ids":["https://openalex.org/I100930933","https://openalex.org/I168346926"],"apc_list":null,"apc_paid":null,"fwci":4.7255,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.94503632,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13718","display_name":"Media Influence and Politics","score":0.9991000294685364,"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/T13718","display_name":"Media Influence and Politics","score":0.9991000294685364,"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/T10028","display_name":"Topic Modeling","score":0.9951000213623047,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.9672558307647705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7701629400253296},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7245475649833679},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3838251233100891},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21894830465316772}],"concepts":[{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.9672558307647705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701629400253296},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7245475649833679},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3838251233100891},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21894830465316772}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627043.3659541","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627043.3659541","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627043.3659541","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627043.3659541","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627043.3659541","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627043.3659541","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399913643.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1583059097","https://openalex.org/W1990184998","https://openalex.org/W2000311511","https://openalex.org/W2044868209","https://openalex.org/W2092806068","https://openalex.org/W2107108480","https://openalex.org/W2163179583","https://openalex.org/W2171773113","https://openalex.org/W2890953671","https://openalex.org/W2900571251","https://openalex.org/W2955041501","https://openalex.org/W2970793364","https://openalex.org/W3034236656","https://openalex.org/W3039730345","https://openalex.org/W3101295217","https://openalex.org/W3154538081","https://openalex.org/W3199782056","https://openalex.org/W4223982309","https://openalex.org/W4239179583","https://openalex.org/W4287888306","https://openalex.org/W4309076733","https://openalex.org/W4327645608","https://openalex.org/W4385571701","https://openalex.org/W4385891983","https://openalex.org/W4392980985","https://openalex.org/W6930395764","https://openalex.org/W6948647972"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2120204135","https://openalex.org/W2139396251","https://openalex.org/W1796293478","https://openalex.org/W1577544887","https://openalex.org/W2168276503","https://openalex.org/W1573537275","https://openalex.org/W2105713543","https://openalex.org/W4205908955"],"abstract_inverted_index":{"Personalised":[0],"news":[1,8,139,199,209],"recommender":[2,48,141,175,210],"systems":[3,211],"are":[4,125],"effective":[5],"in":[6,85,113,117,198],"disseminating":[7],"content":[9,150,200],"based":[10],"on":[11,148],"users\u2019":[12,108],"reading":[13,109],"histories":[14,110],"but":[15],"can":[16,111,212],"also":[17],"amplify":[18],"and":[19,37,66,156,201],"proliferate":[20],"biased":[21,64,98,121,138,217],"media.":[22,122],"This":[23,189],"work":[24,190],"examines":[25],"the":[26,55,67,74,79,95,118,129,135,163,183,214],"potential":[27],"of":[28,47,57,69,81,97,120,131,137,162,165,182,194,216],"automated":[29,58],"sentence":[30,59,82,105,167],"rewriting":[31,60,83,106,168],"methods,":[32],"utilising":[33],"word":[34],"replacement":[35],"methods":[36,61,169],"large":[38],"language":[39],"models":[40],"(LLMs),":[41],"to":[42,62,89,107,170],"mitigate":[43,94],"this":[44],"side":[45],"effect":[46],"systems.":[49],"We":[50,77],"present":[51],"a":[52,86,114,159,174],"two-step":[53],"workflow:":[54],"application":[56],"rewrite":[63],"sentences,":[65],"integration":[68],"these":[70],"rewritten":[71],"sentences":[72],"into":[73,207],"recommendation":[75,154,202],"process.":[76],"evaluate":[78],"effectiveness":[80,164],"approaches":[84],"simulation":[87],"framework,":[88],"assess":[90],"how":[91,208],"well":[92,178],"they":[93],"spread":[96,136],"news.":[99],"Our":[100,123],"study":[101],"demonstrates":[102],"that":[103,145],"applying":[104,166],"result":[112],"significant":[115],"reduction":[116],"propagation":[119],"contributions":[124],"threefold:":[126],"we":[127,143,157],"pioneer":[128],"use":[130],"LLMs":[132],"for":[133,186],"mitigating":[134],"by":[140],"systems;":[142],"demonstrate":[144],"algorithms":[146],"trained":[147],"debiased":[149],"maintain":[151],"or":[152],"improve":[153],"accuracy;":[155],"provide":[158],"comprehensive":[160],"exploration":[161],"various":[171],"components":[172],"within":[173],"system,":[176],"as":[177,179],"an":[180],"investigation":[181],"underlying":[184],"reasons":[185],"their":[187],"efficacy.":[188],"advances":[191],"our":[192],"understanding":[193],"media":[195],"bias":[196],"mitigation":[197],"algorithms,":[203],"providing":[204],"valuable":[205],"insights":[206],"prevent":[213],"dissemination":[215],"information.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
