{"id":"https://openalex.org/W4415230466","doi":"https://doi.org/10.1609/aies.v8i1.36538","title":"Disciplinary Practices in the Generation of Text Synthetic Data: A Critical Discourse Analysis","display_name":"Disciplinary Practices in the Generation of Text Synthetic Data: A Critical Discourse Analysis","publication_year":2025,"publication_date":"2025-10-15","ids":{"openalex":"https://openalex.org/W4415230466","doi":"https://doi.org/10.1609/aies.v8i1.36538"},"language":"en","primary_location":{"id":"doi:10.1609/aies.v8i1.36538","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aies.v8i1.36538","pdf_url":"https://ojs.aaai.org/index.php/AIES/article/download/36538/38676","source":{"id":"https://openalex.org/S5407048695","display_name":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","issn_l":"3065-8365","issn":["3065-8365"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ojs.aaai.org/index.php/AIES/article/download/36538/38676","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067725152","display_name":"Adriana Alvarado Garcia","orcid":"https://orcid.org/0000-0002-4230-3777"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adriana Alvarado Garcia","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120015964","display_name":"Nishanshi Atulkumar Shukla","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nishanshi Atulkumar Shukla","raw_affiliation_strings":["UT Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UT Dallas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023444774","display_name":"Muneeza Azmat","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muneeza Azmat","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019858112","display_name":"Marisol Wong-Villacr\u00e9s","orcid":null},"institutions":[{"id":"https://openalex.org/I2135383","display_name":"Escuela Superior Politecnica del Litoral","ror":"https://ror.org/04qenc566","country_code":"EC","type":"education","lineage":["https://openalex.org/I2135383"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Marisol Wong-Villacres","raw_affiliation_strings":["Escuela Superior Politecnica del Litoral (ESPOL)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escuela Superior Politecnica del Litoral (ESPOL)","institution_ids":["https://openalex.org/I2135383"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.24981113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"1","first_page":"152","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.8101000189781189,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.8101000189781189,"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/discipline","display_name":"Discipline","score":0.7268999814987183},{"id":"https://openalex.org/keywords/critical-discourse-analysis","display_name":"Critical discourse analysis","score":0.5913000106811523},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.5806000232696533},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5401999950408936},{"id":"https://openalex.org/keywords/discourse-analysis","display_name":"Discourse analysis","score":0.4496000111103058},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.3837999999523163},{"id":"https://openalex.org/keywords/corpus-linguistics","display_name":"Corpus linguistics","score":0.36070001125335693}],"concepts":[{"id":"https://openalex.org/C8795937","wikidata":"https://www.wikidata.org/wiki/Q11862829","display_name":"Discipline","level":2,"score":0.7268999814987183},{"id":"https://openalex.org/C2779030433","wikidata":"https://www.wikidata.org/wiki/Q1789511","display_name":"Critical discourse analysis","level":4,"score":0.5913000106811523},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.5806000232696533},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4767000079154968},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.4629000127315521},{"id":"https://openalex.org/C84389358","wikidata":"https://www.wikidata.org/wiki/Q1129466","display_name":"Discourse analysis","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43810001015663147},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C532629269","wikidata":"https://www.wikidata.org/wiki/Q865083","display_name":"Corpus linguistics","level":2,"score":0.36070001125335693},{"id":"https://openalex.org/C167055898","wikidata":"https://www.wikidata.org/wiki/Q321249","display_name":"Applied linguistics","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.3294999897480011},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.3140000104904175},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2937000095844269},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.29280000925064087},{"id":"https://openalex.org/C113706210","wikidata":"https://www.wikidata.org/wiki/Q301751","display_name":"Critical theory","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.29159998893737793},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28029999136924744},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.27549999952316284}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aies.v8i1.36538","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aies.v8i1.36538","pdf_url":"https://ojs.aaai.org/index.php/AIES/article/download/36538/38676","source":{"id":"https://openalex.org/S5407048695","display_name":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","issn_l":"3065-8365","issn":["3065-8365"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/36538","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AIES/article/view/36538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"3065-8365","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aies.v8i1.36538","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aies.v8i1.36538","pdf_url":"https://ojs.aaai.org/index.php/AIES/article/download/36538/38676","source":{"id":"https://openalex.org/S5407048695","display_name":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","issn_l":"3065-8365","issn":["3065-8365"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415230466.pdf","grobid_xml":"https://content.openalex.org/works/W4415230466.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Synthetic":[0],"data":[1,41,51,56,63],"has":[2],"emerged":[3],"as":[4,54],"an":[5],"alternative":[6],"or":[7],"supplement":[8],"to":[9,48,60,73,130],"human-generated":[10],"data,":[11],"driven":[12],"by":[13,31],"several":[14],"underlying":[15],"assumptions":[16],"that":[17],"motivate":[18],"its":[19],"growing":[20],"adoption":[21],"among":[22],"practitioners.":[23],"These":[24],"include":[25],"the":[26,33,62,76,99],"promise":[27],"of":[28,94,109,128],"increased":[29],"efficiency":[30],"reducing":[32],"cost,":[34],"time,":[35],"and":[36,43,79,102,120,124],"human":[37],"labor":[38],"involved":[39],"in":[40,118],"collection":[42],"labeling,":[44],"which":[45],"is":[46,71],"expected":[47],"potentially":[49],"overcome":[50],"scarcity.":[52],"Thus,":[53],"synthetic":[55],"becomes":[57],"increasingly":[58],"adopted":[59],"alleviate":[61],"needs":[64],"for":[65],"Large":[66],"Language":[67],"Model":[68],"development,":[69],"it":[70],"critical":[72],"understand":[74],"better":[75],"surrounding":[77],"discourses":[78],"practices":[80,117],"associated":[81],"with":[82],"their":[83],"creation.":[84],"We":[85],"conducted":[86],"a":[87,92,107,126],"Critical":[88],"Discourse":[89],"Analysis":[90],"on":[91],"corpus":[93],"52":[95],"research":[96],"articles":[97],"from":[98],"Artificial":[100],"Intelligence":[101],"Computational":[103],"Linguistics":[104],"conferences.":[105],"As":[106],"result":[108],"our":[110],"analysis,":[111],"we":[112],"identify":[113],"three":[114],"recurring":[115],"disciplinary":[116],"establishing":[119],"reinforcing":[121],"Cultural":[122],"Scarcity":[123],"propose":[125],"set":[127],"recommendations":[129],"counteract":[131],"it.":[132]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-16T00:00:00"}