{"id":"https://openalex.org/W4416252067","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228377","title":"AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection","display_name":"AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252067","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228377"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.20865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055536268","display_name":"Lorenzo Pellegrini","orcid":"https://orcid.org/0000-0002-7680-8116"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Lorenzo Pellegrini","raw_affiliation_strings":["Universit&#x00E0; di Bologna,Dipartimento di Informatica - Scienza e Ingegneria (DISI),Cesena,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; di Bologna,Dipartimento di Informatica - Scienza e Ingegneria (DISI),Cesena,Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085769320","display_name":"Davide Cozzolino","orcid":"https://orcid.org/0000-0001-6158-7595"},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]},{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Cozzolino","raw_affiliation_strings":["Universit&#x00E0; Degli Studi di Napoli Federico II,Dipartimento di Ingegneria Elettrica e Delle Tecnologie Dell&#x2019;Informazione (DIETI),Naples,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; Degli Studi di Napoli Federico II,Dipartimento di Ingegneria Elettrica e Delle Tecnologie Dell&#x2019;Informazione (DIETI),Naples,Italy","institution_ids":["https://openalex.org/I4210104655","https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120549650","display_name":"Serafino Pandolfini","orcid":null},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Serafino Pandolfini","raw_affiliation_strings":["Universit&#x00E0; di Bologna,Dipartimento di Informatica - Scienza e Ingegneria (DISI),Cesena,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; di Bologna,Dipartimento di Informatica - Scienza e Ingegneria (DISI),Cesena,Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027196976","display_name":"Davide Maltoni","orcid":"https://orcid.org/0000-0002-6329-6756"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Maltoni","raw_affiliation_strings":["Universit&#x00E0; di Bologna,Dipartimento di Informatica - Scienza e Ingegneria (DISI),Cesena,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; di Bologna,Dipartimento di Informatica - Scienza e Ingegneria (DISI),Cesena,Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010414428","display_name":"Matteo Ferrara","orcid":"https://orcid.org/0000-0002-4020-1419"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Ferrara","raw_affiliation_strings":["Universit&#x00E0; di Bologna,Dipartimento di Informatica - Scienza e Ingegneria (DISI),Cesena,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; di Bologna,Dipartimento di Informatica - Scienza e Ingegneria (DISI),Cesena,Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080842029","display_name":"Luisa Verdoliva","orcid":"https://orcid.org/0000-0001-7286-7963"},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]},{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luisa Verdoliva","raw_affiliation_strings":["Universit&#x00E0; Degli Studi di Napoli Federico II,Dipartimento di Ingegneria Elettrica e Delle Tecnologie Dell&#x2019;Informazione (DIETI),Naples,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; Degli Studi di Napoli Federico II,Dipartimento di Ingegneria Elettrica e Delle Tecnologie Dell&#x2019;Informazione (DIETI),Naples,Italy","institution_ids":["https://openalex.org/I4210104655","https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041292673","display_name":"Marco Prati","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139705","display_name":"Ingegneria dei Sistemi (Italy)","ror":"https://ror.org/03spsm219","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210139705"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Prati","raw_affiliation_strings":["IdentifAI,Italy"],"affiliations":[{"raw_affiliation_string":"IdentifAI,Italy","institution_ids":["https://openalex.org/I4210139705"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061396883","display_name":"Marco Ramilli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139705","display_name":"Ingegneria dei Sistemi (Italy)","ror":"https://ror.org/03spsm219","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210139705"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Ramilli","raw_affiliation_strings":["IdentifAI,Italy"],"affiliations":[{"raw_affiliation_string":"IdentifAI,Italy","institution_ids":["https://openalex.org/I4210139705"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5055536268"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34844789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.012000000104308128,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13877","display_name":"Law in Society and Culture","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8022000193595886},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5231000185012817},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.5231000185012817},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5048999786376953},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46799999475479126},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4584999978542328},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4066999852657318},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.40290001034736633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39629998803138733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105999827384949},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8022000193595886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5253999829292297},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5231000185012817},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.5231000185012817},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5048999786376953},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46799999475479126},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4584999978542328},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4066999852657318},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.40290001034736633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39629998803138733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3928999900817871},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.36579999327659607},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.30480000376701355},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29260000586509705},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C2989087649","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Image synthesis","level":3,"score":0.2705000042915344},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.265500009059906}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2504.20865","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.20865","pdf_url":"https://arxiv.org/pdf/2504.20865","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:cris.unibo.it:11585/1032860","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/11228377","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2504.20865","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.20865","pdf_url":"https://arxiv.org/pdf/2504.20865","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2151224667","display_name":null,"funder_award_id":"101070093","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3650733657","display_name":null,"funder_award_id":"NextGenerationEU","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4947509900","display_name":null,"funder_award_id":"10107009","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G507880695","display_name":null,"funder_award_id":"PE00000014","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5538284277","display_name":null,"funder_award_id":"National Recovery","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7915277041","display_name":null,"funder_award_id":"2021-2027","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8503085978","display_name":null,"funder_award_id":"2021-2027","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8893660128","display_name":null,"funder_award_id":"PE0000001","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320326075","display_name":"Regione Emilia-Romagna","ror":null},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416252067.pdf","grobid_xml":"https://content.openalex.org/works/W4416252067.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2055745001","https://openalex.org/W2117539524","https://openalex.org/W2962793481","https://openalex.org/W2962974533","https://openalex.org/W2963522749","https://openalex.org/W2963767194","https://openalex.org/W2982763192","https://openalex.org/W2984854289","https://openalex.org/W3003301247","https://openalex.org/W3034577585","https://openalex.org/W3035574324","https://openalex.org/W3178572954","https://openalex.org/W3180059462","https://openalex.org/W3180355996","https://openalex.org/W3199003182","https://openalex.org/W3204715535","https://openalex.org/W3212516020","https://openalex.org/W4312383858","https://openalex.org/W4312388283","https://openalex.org/W4312933868","https://openalex.org/W4319300674","https://openalex.org/W4375869427","https://openalex.org/W4380769213","https://openalex.org/W4385815563","https://openalex.org/W4386071953","https://openalex.org/W4386590429","https://openalex.org/W4389370799","https://openalex.org/W4389736946","https://openalex.org/W4390189958","https://openalex.org/W4391563741","https://openalex.org/W4392402304","https://openalex.org/W4393972628","https://openalex.org/W4395661501","https://openalex.org/W4399261681","https://openalex.org/W4402716434","https://openalex.org/W4402726899","https://openalex.org/W4402754249","https://openalex.org/W4403791261","https://openalex.org/W4403792403","https://openalex.org/W4404002774","https://openalex.org/W4404545428","https://openalex.org/W4405208292","https://openalex.org/W4413145917"],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"advancement":[2],"of":[3,38,105,158,178,188],"generative":[4,72,82],"AI":[5],"has":[6],"revolutionized":[7],"image":[8],"creation,":[9],"enabling":[10],"high-quality":[11],"synthesis":[12],"from":[13,88],"text":[14],"prompts":[15],"while":[16,140],"raising":[17],"critical":[18],"challenges":[19],"for":[20,35,130],"media":[21],"authenticity.":[22],"We":[23],"present":[24],"AI-GenBench,":[25],"a":[26,55,120,123],"novel":[27],"benchmark":[28,94],"designed":[29],"to":[30,74,78,80,90,170,174,182],"address":[31],"the":[32,86,176,186],"urgent":[33],"need":[34],"robust":[36,179],"detection":[37,60,159],"AI-generated":[39],"images":[40],"in":[41],"real-world":[42],"scenarios.":[43],"Unlike":[44],"existing":[45],"solutions":[46],"that":[47],"evaluate":[48],"models":[49],"on":[50,65,96],"static":[51],"datasets,":[52],"AI-GenBench":[53,118,154],"introduces":[54],"temporal":[56],"evaluation":[57,125,148],"framework":[58],"where":[59],"methods":[61,160],"are":[62,167],"incrementally":[63],"trained":[64],"synthetic":[66,190],"images,":[67],"historically":[68],"ordered":[69],"by":[70],"their":[71,76],"models,":[73,83],"test":[75],"ability":[77],"generalize":[79],"new":[81,189],"such":[84],"as":[85],"transition":[87],"GANs":[89],"diffusion":[91],"models.":[92],"Our":[93],"focuses":[95],"high-quality,":[97],"diverse":[98],"visual":[99],"content":[100],"and":[101,114,127,133,150,161,165,173],"overcomes":[102],"key":[103],"limitations":[104],"current":[106],"approaches,":[107],"including":[108],"arbitrary":[109],"dataset":[110],"splits,":[111],"unfair":[112],"comparisons,":[113],"excessive":[115],"computational":[116],"demands.":[117],"provides":[119],"comprehensive":[121],"dataset,":[122],"standardized":[124],"protocol,":[126],"accessible":[128],"tools":[129],"both":[131],"researchers":[132],"non-experts":[134],"(e.g.,":[135],"journalists,":[136],"fact-checkers),":[137],"ensuring":[138],"reproducibility":[139,172],"maintaining":[141],"practical":[142],"training":[143],"requirements.":[144],"By":[145],"establishing":[146],"clear":[147],"rules":[149],"controlled":[151],"augmentation":[152],"strategies,":[153],"enables":[155],"meaningful":[156],"comparison":[157],"scalable":[162],"solutions.":[163],"Code":[164],"data":[166],"publicly":[168],"available":[169],"ensure":[171],"support":[175],"development":[177],"forensic":[180],"detectors":[181],"keep":[183],"pace":[184],"with":[185],"rise":[187],"generators<sup":[191],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[192],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[193]},"counts_by_year":[],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-11-14T00:00:00"}
