{"id":"https://openalex.org/W7134939873","doi":"https://doi.org/10.1109/icdmw69685.2025.00182","title":"Innovative Approach to Use Large Language Models (LLM) for Continuous Annotation of Disinformation","display_name":"Innovative Approach to Use Large Language Models (LLM) for Continuous Annotation of Disinformation","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7134939873","doi":"https://doi.org/10.1109/icdmw69685.2025.00182"},"language":null,"primary_location":{"id":"doi:10.1109/icdmw69685.2025.00182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030621800","display_name":"Sebastian Kula","orcid":"https://orcid.org/0000-0001-7559-6046"},"institutions":[{"id":"https://openalex.org/I155313962","display_name":"West Pomeranian University of Technology in Szczecin","ror":"https://ror.org/0596m7f19","country_code":"PL","type":"education","lineage":["https://openalex.org/I155313962"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Sebastian Kula","raw_affiliation_strings":["West Pomeranian University of Technology,Szczecin,Poland"],"raw_orcid":"https://orcid.org/0000-0001-7559-6046","affiliations":[{"raw_affiliation_string":"West Pomeranian University of Technology,Szczecin,Poland","institution_ids":["https://openalex.org/I155313962"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122777766","display_name":"Rafa\u0142 Kozik","orcid":null},"institutions":[{"id":"https://openalex.org/I1300393620","display_name":"Bydgoszcz University of Science and Technology","ror":"https://ror.org/049eq0c58","country_code":"PL","type":"education","lineage":["https://openalex.org/I1300393620"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Rafa\u0142 Kozik","raw_affiliation_strings":["Bydgoszcz University of Science and Technology,Bydgoszcz,Poland"],"raw_orcid":"https://orcid.org/0000-0001-7122-3306","affiliations":[{"raw_affiliation_string":"Bydgoszcz University of Science and Technology,Bydgoszcz,Poland","institution_ids":["https://openalex.org/I1300393620","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128697451","display_name":"Micha\u0142 Chora\u015b","orcid":null},"institutions":[{"id":"https://openalex.org/I1300393620","display_name":"Bydgoszcz University of Science and Technology","ror":"https://ror.org/049eq0c58","country_code":"PL","type":"education","lineage":["https://openalex.org/I1300393620"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Micha\u0142 Chora\u015b","raw_affiliation_strings":["Bydgoszcz University of Science and Technology,Bydgoszcz,Poland"],"raw_orcid":"https://orcid.org/0000-0003-1405-9911","affiliations":[{"raw_affiliation_string":"Bydgoszcz University of Science and Technology,Bydgoszcz,Poland","institution_ids":["https://openalex.org/I1300393620","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1524","last_page":"1532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.16189999878406525,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.16189999878406525,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.03889999911189079,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.03620000183582306,"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/disinformation","display_name":"Disinformation","score":0.6944000124931335},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5041000247001648},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3481000065803528},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3409999907016754},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3077000081539154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299000024795532},{"id":"https://openalex.org/C2776552730","wikidata":"https://www.wikidata.org/wiki/Q189656","display_name":"Disinformation","level":3,"score":0.6944000124931335},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5041000247001648},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5009999871253967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4950999915599823},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.273499995470047},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.272599995136261},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw69685.2025.00182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4677201807498932}],"awards":[{"id":"https://openalex.org/G653752772","display_name":null,"funder_award_id":"INFOSTRATEG-I/0019/2021-00","funder_id":"https://openalex.org/F4320327261","funder_display_name":"National Center for Research and Development"}],"funders":[{"id":"https://openalex.org/F4320327261","display_name":"National Center for Research and Development","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2582561810","https://openalex.org/W4200097352","https://openalex.org/W4283732158","https://openalex.org/W4319459995","https://openalex.org/W4360596344","https://openalex.org/W4386196493","https://openalex.org/W4395055750","https://openalex.org/W4401815387","https://openalex.org/W4402671964","https://openalex.org/W4402672194","https://openalex.org/W4404228588"],"related_works":[],"abstract_inverted_index":{"Creating":[0],"solutions":[1],"that":[2,84,93,234],"would":[3,70],"efficiently,":[4],"effectively":[5],"and":[6,23,29,62,74,139,152,160,185,205,207,226,238,261],"accurately":[7],"detect":[8],"disinformation":[9,68,87,99,252],"in":[10,100,137,163,193,212],"online":[11],"content":[12,83,129,192,253],"is":[13,34,43,86,118,243],"currently":[14],"one":[15],"of":[16,41,50,56,98,127,218,222,250],"the":[17,39,46,96,101,125,154,172,216,219,223,239,247],"major":[18],"challenges":[19],"for":[20,66,215],"researchers,":[21],"organizations":[22],"communities":[24],"working":[25],"on":[26,81],"artificial":[27],"intelligence":[28],"cybersecurity":[30],"solutions.":[31],"The":[32,116,191],"topic":[33],"a":[35,177,182,188,194],"current":[36],"research":[37],"issue,":[38],"importance":[40],"which":[42,123],"determined":[44],"by":[45,60,130,158,235,257],"constantly":[47],"growing":[48],"development":[49],"information":[51],"transmission":[52],"through":[53],"various":[54],"types":[55],"Internet":[57],"platforms":[58],"used":[59,171],"citizens":[61],"societies.":[63],"Effective":[64],"methods":[65],"detecting":[67],"campaigns":[69],"better":[71],"protect":[72],"societies":[73],"democracy.":[75],"In":[76,142,167],"this":[77],"article,":[78,220],"we":[79,106,146,170],"focus":[80],"annotating":[82,91,128,251],"potentially":[85],"as":[88,90,254],"well":[89],"features,":[92],"may":[94],"suggest":[95],"existence":[97],"content.":[102],"For":[103],"annotation":[104,155,165],"purpose,":[105],"propose":[107,120],"innovative":[108,144],"approach":[109,241],"to":[110,119,245],"use":[111],"LLMs":[112,237],"(Large":[113],"Language":[114],"Models).":[115],"goal":[117],"effective":[121],"solution,":[122,145],"imitated":[124,153],"process":[126,156],"real":[131],"human":[132,263],"annotators,":[133,162],"but":[134,214,259],"does":[135],"it":[136,242],"objective":[138],"fast":[140],"manner.":[141],"our":[143,168],"replaced":[147],"people":[148],"with":[149,196],"LLM":[150],"models":[151],"conducted":[157],"junior":[159,178,183],"senior":[161,189],"real-life":[164],"tasks.":[166],"work,":[169],"following":[173],"models:":[174],"Mistral-Nemo-Instruct-2407-GGUF":[175],"(imitates":[176,181,187],"annotator),":[179],"Bielik-11B-v2.3-InstructGGUF":[180],"annotator)":[184],"nemotron-4-340b-instruct":[186],"annotator).":[190],"language":[195],"low":[197],"resources,":[198],"i.e.,":[199],"Polish,":[200,213],"was":[201],"analyzed.":[202],"All":[203],"experiments":[204],"prompts,":[206],"also":[208],"all":[209],"data":[210,227],"were":[211,230],"purpose":[217],"translations":[221],"original":[224],"prompts":[225],"into":[228],"English":[229],"included.":[231],"We":[232],"proved":[233],"using":[236],"proposed":[240],"feasible":[244],"obtain":[246],"same":[248],"performance":[249],"annotations":[255],"performed":[256],"professional,":[258],"costly":[260],"slower":[262],"annotators.":[264]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-03-12T00:00:00"}