{"id":"https://openalex.org/W4412887791","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1007","title":"LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media","display_name":"LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412887791","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1007"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1007","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1007","pdf_url":"https://aclanthology.org/2025.findings-acl.1007.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: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.1007.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054830986","display_name":"Haiqi Zhang","orcid":"https://orcid.org/0009-0003-0638-7605"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haiqi Zhang","raw_affiliation_strings":["University of Texas at Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043075402","display_name":"Zhengyuan Zhu","orcid":"https://orcid.org/0009-0002-8492-0551"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengyuan Zhu","raw_affiliation_strings":["University of Texas at Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358730","display_name":"Zeyu Zhang","orcid":"https://orcid.org/0000-0002-4035-4028"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeyu Zhang","raw_affiliation_strings":["University of Texas at Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084878734","display_name":"Chengkai Li","orcid":"https://orcid.org/0000-0002-1724-8278"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengkai Li","raw_affiliation_strings":["University of Texas at Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"19627","last_page":"19641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"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/T13643","display_name":"Artificial Intelligence in Law","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9584000110626221,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9465000033378601,"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/computer-science","display_name":"Computer science","score":0.748045027256012},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.7290878295898438},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.710518479347229},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4339927136898041},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3987363278865814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36845654249191284},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32499608397483826},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.052710384130477905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748045027256012},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.7290878295898438},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.710518479347229},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4339927136898041},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3987363278865814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36845654249191284},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32499608397483826},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.052710384130477905},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1007","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1007","pdf_url":"https://aclanthology.org/2025.findings-acl.1007.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: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.1007","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1007","pdf_url":"https://aclanthology.org/2025.findings-acl.1007.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: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412887791.pdf","grobid_xml":"https://content.openalex.org/works/W4412887791.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4312622923","https://openalex.org/W1977056376","https://openalex.org/W2728430307","https://openalex.org/W1990545028","https://openalex.org/W2107786128","https://openalex.org/W2735469505","https://openalex.org/W2048368023","https://openalex.org/W2484264353","https://openalex.org/W4237944947"],"abstract_inverted_index":{"With":[0],"the":[1,30,84],"rapid":[2],"expansion":[3],"of":[4,33,35,47],"content":[5],"on":[6,70,100],"social":[7,39],"media":[8,40],"platforms,":[9],"analyzing":[10],"and":[11,55,81,97],"comprehending":[12],"online":[13],"discourse":[14],"has":[15],"become":[16],"increasingly":[17],"complex.This":[18],"paper":[19],"introduces":[20],"LLMTaxo,":[21],"a":[22],"novel":[23],"framework":[24],"leveraging":[25],"large":[26],"language":[27],"models":[28],"for":[29,106],"automated":[31],"construction":[32],"taxonomies":[34],"factual":[36],"claims":[37],"from":[38],"by":[41],"generating":[42],"topics":[43],"at":[44],"multiple":[45],"levels":[46],"granularity.The":[48],"resulting":[49],"hierarchical":[50],"structure":[51],"significantly":[52],"reduces":[53],"redundancy":[54],"improves":[56],"information":[57],"accessibility.We":[58],"also":[59],"propose":[60],"dedicated":[61],"taxonomy":[62],"evaluation":[63],"metrics":[64],"to":[65],"enable":[66],"comprehensive":[67,82],"assessment.Evaluations":[68],"conducted":[69],"three":[71],"diverse":[72],"datasets":[73],"demonstrate":[74],"LLMTaxo's":[75],"effectiveness":[76],"in":[77],"producing":[78],"clear,":[79],"coherent,":[80],"taxonomies.Among":[83],"evaluated":[85],"models,":[86],"GPT-4o":[87],"mini":[88],"consistently":[89],"outperforms":[90],"others":[91],"across":[92],"most":[93],"metrics.The":[94],"framework's":[95],"flexibility":[96],"low":[98],"reliance":[99],"manual":[101],"intervention":[102],"underscore":[103],"its":[104],"potential":[105],"broad":[107],"applicability.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
