{"id":"https://openalex.org/W4327811134","doi":"https://doi.org/10.1145/3544549.3585748","title":"Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems","display_name":"Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4327811134","doi":"https://doi.org/10.1145/3544549.3585748"},"language":"en","primary_location":{"id":"doi:10.1145/3544549.3585748","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544549.3585748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.09498","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059926999","display_name":"Krisztian Balog","orcid":"https://orcid.org/0000-0003-2762-721X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Krisztian Balog","raw_affiliation_strings":["Google, Norway"],"raw_orcid":"https://orcid.org/0000-0003-2762-721X","affiliations":[{"raw_affiliation_string":"Google, Norway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081692910","display_name":"Filip Radlinski","orcid":"https://orcid.org/0000-0002-1386-9288"},"institutions":[{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Filip Radlinski","raw_affiliation_strings":["Google, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-1386-9288","affiliations":[{"raw_affiliation_string":"Google, United Kingdom","institution_ids":["https://openalex.org/I4210113297"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101411215","display_name":"Andrey Petrov","orcid":"https://orcid.org/0009-0000-2128-3247"},"institutions":[{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrey Petrov","raw_affiliation_strings":["Google, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0000-2128-3247","affiliations":[{"raw_affiliation_string":"Google, United Kingdom","institution_ids":["https://openalex.org/I4210113297"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059926999"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1713,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82173303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9941999912261963,"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/recommender-system","display_name":"Recommender system","score":0.7570481300354004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7232750654220581},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.5921090841293335},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5516898036003113},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38078323006629944},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.315621018409729},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.06534728407859802}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7570481300354004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232750654220581},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.5921090841293335},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5516898036003113},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38078323006629944},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.315621018409729},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.06534728407859802},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3544549.3585748","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544549.3585748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.09498","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.09498","pdf_url":"https://arxiv.org/pdf/2303.09498","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.09498","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.09498","pdf_url":"https://arxiv.org/pdf/2303.09498","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4000000059604645,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327811134.pdf","grobid_xml":"https://content.openalex.org/works/W4327811134.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1579090648","https://openalex.org/W1976161616","https://openalex.org/W1987431925","https://openalex.org/W2028988057","https://openalex.org/W2037351199","https://openalex.org/W2042281163","https://openalex.org/W2093071349","https://openalex.org/W2100171245","https://openalex.org/W2101409192","https://openalex.org/W2114281505","https://openalex.org/W2130369780","https://openalex.org/W2134584261","https://openalex.org/W2223821166","https://openalex.org/W2295949242","https://openalex.org/W2298442474","https://openalex.org/W2511352244","https://openalex.org/W2593222764","https://openalex.org/W2733769132","https://openalex.org/W2763172566","https://openalex.org/W2798435682","https://openalex.org/W2808925008","https://openalex.org/W2900961456","https://openalex.org/W2941411956","https://openalex.org/W2947612811","https://openalex.org/W2955073982","https://openalex.org/W2971196067","https://openalex.org/W3034491755","https://openalex.org/W3101366597","https://openalex.org/W3122821379","https://openalex.org/W3129910862","https://openalex.org/W3153012057","https://openalex.org/W3153206982","https://openalex.org/W4205334834","https://openalex.org/W4220668138","https://openalex.org/W4224308101","https://openalex.org/W4247732714","https://openalex.org/W4318710397"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Despite":[0],"the":[1,30,78],"potential":[2],"impact":[3],"of":[4,13,48,65,80,97],"explanations":[5,38,88,116],"on":[6,15,19],"decision":[7],"making,":[8],"there":[9],"is":[10],"a":[11,52,71,95,107],"lack":[12],"research":[14],"quantifying":[16],"their":[17],"effect":[18],"users\u2019":[20,120],"choices.":[21],"This":[22],"paper":[23],"presents":[24],"an":[25],"experimental":[26],"protocol":[27,50],"for":[28,58,74],"measuring":[29],"degree":[31],"to":[32,41,56],"which":[33],"positively":[34],"or":[35],"negatively":[36],"biased":[37],"can":[39,117],"lead":[40],"users":[42],"choosing":[43],"suboptimal":[44],"recommendations.":[45],"Key":[46],"elements":[47],"this":[49],"include":[51],"preference":[53],"elicitation":[54],"stage":[55],"allow":[57],"personalizing":[59],"recommendations,":[60],"manual":[61],"identification":[62],"and":[63,70,83,100,122],"extraction":[64],"item":[66,98],"aspects":[67,99],"from":[68],"reviews,":[69],"controlled":[72],"method":[73],"introducing":[75],"bias":[76],"through":[77],"combination":[79],"both":[81],"positive":[82],"negative":[84],"aspects.":[85],"We":[86],"study":[87,109],"in":[89],"two":[90],"different":[91],"textual":[92],"formats:":[93],"as":[94,101],"list":[96],"fluent":[102],"natural":[103],"language":[104],"text.":[105],"Through":[106],"user":[108],"with":[110],"129":[111],"participants,":[112],"we":[113],"demonstrate":[114],"that":[115,123],"significantly":[118],"affect":[119],"selections":[121],"these":[124],"findings":[125],"generalize":[126],"across":[127],"explanation":[128],"formats.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-10T08:33:47.465468","created_date":"2025-10-10T00:00:00"}
