{"id":"https://openalex.org/W4416034411","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1380","title":"Who\u2019s the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution","display_name":"Who\u2019s the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416034411","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1380"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1380","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1380","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1380.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.1380.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006939856","display_name":"Calvin Bao","orcid":"https://orcid.org/0000-0002-7063-221X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Calvin Bao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017545687","display_name":"Connor Baumler","orcid":"https://orcid.org/0000-0003-1458-2446"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Connor Baumler","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019928111","display_name":"Hal Daum\u00e9","orcid":"https://orcid.org/0000-0002-3760-345X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hal Daum\u00e9 Iii","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078390032","display_name":"Marine Carpuat","orcid":"https://orcid.org/0000-0003-1693-0782"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marine Carpuat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22109525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25312","last_page":"25330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.2578999996185303,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.2578999996185303,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.24330000579357147,"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/T12128","display_name":"AI in Service Interactions","score":0.15479999780654907,"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/attribution","display_name":"Attribution","score":0.4528999924659729},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.3052000105381012},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.2946000099182129},{"id":"https://openalex.org/keywords/clarity","display_name":"CLARITY","score":0.2556000053882599}],"concepts":[{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.48399999737739563},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.4528999924659729},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.44929999113082886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31520000100135803},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2757999897003174},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.23849999904632568}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1380","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1380","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1380.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1380","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1380","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1380.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320312530","display_name":"Office of the Director of National Intelligence","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416034411.pdf","grobid_xml":"https://content.openalex.org/works/W4416034411.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"growing":[1],"interest":[2],"in":[3,15,60],"explainable":[4],"NLP,":[5],"it":[6],"remains":[7],"unclear":[8],"how":[9,55],"explanation":[10,41,77,99,116,138],"strategies":[11],"shape":[12],"user":[13,58,146],"behavior":[14,59],"tasks":[16,70],"like":[17],"authorship":[18,68],"identification,":[19],"where":[20,65],"relevant":[21],"textual":[22],"features":[23],"may":[24],"be":[25],"difficult":[26],"for":[27,136],"lay":[28],"users":[29],"to":[30],"pinpoint.To":[31],"support":[32,142],"their":[33],"analysis":[34],"of":[35,74,123],"text":[36],"style,":[37],"we":[38],"consider":[39],"two":[40],"types:":[42],"example-based":[43],"style":[44],"rewrites":[45,92],"and":[46],"feature-based":[47],"rationales,":[48],"generated":[49],"using":[50],"a":[51,61],"LLM-based":[52],"pipeline.We":[53],"measured":[54],"explanations":[56],"impact":[57],"controlled":[62],"study":[63],"(n=95)":[64],"participants":[66,109],"completed":[67],"identification":[69],"with":[71,119],"our":[72],"types":[73,100],"assistance.While":[75],"no":[76],"type":[78],"improved":[79],"overall":[80],"task":[81],"accuracy,":[82],"fine-grained":[83],"reliance":[84,112,147],"patterns":[85],"(Schemmer":[86],"et":[87],"al.,":[88],"2023)":[89],"revealed":[90],"that":[91,108,140],"supported":[93],"appropriate":[94],"reliance,":[95],"whereas":[96],"presenting":[97],"both":[98],"increased":[101],"AI":[102],"overreliance,":[103],"minimizing":[104],"participant":[105],"self-reliance.We":[106],"find":[107],"exhibiting":[110],"better":[111],"behaviors":[113],"had":[114],"focused":[115],"needs,":[117],"contrasting":[118],"the":[120,134],"diffused":[121],"preferences":[122],"those":[124],"who":[125],"overrelied":[126],"on":[127,144],"AI,":[128],"or":[129],"incorrectly":[130],"self-relied.These":[131],"findings":[132],"highlight":[133],"need":[135],"adaptive":[137],"systems":[139],"tailor":[141],"based":[143],"specific":[145],"behaviors.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-08T00:00:00"}
