{"id":"https://openalex.org/W7152034325","doi":"https://doi.org/10.1145/3795513.3807431","title":"Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News","display_name":"Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News","publication_year":2026,"publication_date":"2026-05-23","ids":{"openalex":"https://openalex.org/W7152034325","doi":"https://doi.org/10.1145/3795513.3807431"},"language":null,"primary_location":{"id":"doi:10.1145/3795513.3807431","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795513.3807431","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Publication of the 2026 18th ACM Web Science Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3795513.3807431","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067481216","display_name":"Alexander Loth","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Loth","raw_affiliation_strings":["Frankfurt University of Applied Sciences, Frankfurt am Main, Germany"],"raw_orcid":"https://orcid.org/0009-0003-9327-6865","affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences, Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133166887","display_name":"Martin Kappes","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Kappes","raw_affiliation_strings":["Frankfurt University of Applied Sciences, Frankfurt am Main, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8768-8359","affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences, Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133234883","display_name":"Marc-Oliver Pahl","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marc-Oliver Pahl","raw_affiliation_strings":["IMT Atlantique, UMR IRISA, Chaire Cyber CNI, Rennes, France"],"raw_orcid":"https://orcid.org/0000-0001-5241-3809","affiliations":[{"raw_affiliation_string":"IMT Atlantique, UMR IRISA, Chaire Cyber CNI, Rennes, France","institution_ids":["https://openalex.org/I4210127572"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":63.3085,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.99822314,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.6567000150680542,"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":0.6567000150680542,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.07479999959468842,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.06880000233650208,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.6238999962806702},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5333999991416931},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5293999910354614},{"id":"https://openalex.org/keywords/social-perception","display_name":"Social perception","score":0.35850000381469727},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.35580000281333923},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.33000001311302185},{"id":"https://openalex.org/keywords/content-analysis","display_name":"Content analysis","score":0.328900009393692},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.32010000944137573}],"concepts":[{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.6481999754905701},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.6238999962806702},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.534600019454956},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5333999991416931},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5293999910354614},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.49619999527931213},{"id":"https://openalex.org/C129484327","wikidata":"https://www.wikidata.org/wiki/Q177603","display_name":"Social perception","level":3,"score":0.35850000381469727},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3504999876022339},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C207551092","wikidata":"https://www.wikidata.org/wiki/Q508969","display_name":"Cognitive linguistics","level":3,"score":0.3188999891281128},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C50094484","wikidata":"https://www.wikidata.org/wiki/Q849538","display_name":"Attribution bias","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.288100004196167},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27880001068115234},{"id":"https://openalex.org/C86658582","wikidata":"https://www.wikidata.org/wiki/Q1432778","display_name":"Social cognition","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C189216375","wikidata":"https://www.wikidata.org/wiki/Q1127759","display_name":"Cognitive bias","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C193521449","wikidata":"https://www.wikidata.org/wiki/Q4915057","display_name":"Biology and political orientation","level":3,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3795513.3807431","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795513.3807431","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Publication of the 2026 18th ACM Web Science Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2604.03755","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2604.03755","pdf_url":"https://arxiv.org/pdf/2604.03755","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"}],"best_oa_location":{"id":"doi:10.1145/3795513.3807431","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795513.3807431","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Publication of the 2026 18th ACM Web Science Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5067326426506042,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Can":[0],"humans":[1,139],"tell":[2],"whether":[3],"a":[4,10,13,24,151],"news":[5],"article":[6],"was":[7],"written":[8],"by":[9,54],"person":[11],"or":[12],"large":[14],"language":[15],"model":[16],"(LLM)?":[17],"We":[18],"investigate":[19],"this":[20,75],"question":[21],"using":[22],"JudgeGPT,":[23],"study":[25],"platform":[26],"that":[27,146],"independently":[28],"measures":[29],"source":[30],"attribution":[31],"(human":[32],"vs.":[33,39,118],"machine)":[34],"and":[35,120,154],"authenticity":[36],"judgment":[37,96],"(legitimate":[38],"fake)":[40],"on":[41],"continuous":[42],"scales.":[43],"From":[44],"2,318":[45],"judgments":[46],"collected":[47],"from":[48,67],"1,054":[49],"participants":[50,62],"across":[51,78],"content":[52,161],"generated":[53],"six":[55],"LLMs,":[56],"we":[57],"report":[58],"five":[59],"findings:":[60],"(1)":[61],"cannot":[63,140],"reliably":[64,141],"distinguish":[65],"machine-generated":[66],"human-written":[68],"text":[69],"(p":[70],">.05,":[71],"Welch\u2019s":[72],"t-test);":[73],"(2)":[74],"inability":[76],"holds":[77],"all":[79],"tested":[80],"models,":[81],"including":[82],"open-weight":[83],"models":[84],"with":[85],"as":[86,88,159],"few":[87],"7B":[89],"parameters;":[90],"(3)":[91],"self-reported":[92],"domain":[93],"expertise":[94],"predicts":[95],"accuracy":[97,122],"(r":[98,107],"=.35,":[99],"p":[100],"<.001)":[101],"whereas":[102],"political":[103],"orientation":[104],"does":[105],"not":[106,150],"=":[108],"\u2212.10,":[109],"n.s.);":[110],"(4)":[111],"clustering":[112],"reveals":[113],"distinct":[114],"response":[115],"strategies":[116],"(\u201cSkeptics\u201d":[117],"\u201cBelievers\u201d);":[119],"(5)":[121],"degrades":[123],"after":[124],"approximately":[125],"30":[126],"sequential":[127],"evaluations":[128],"due":[129],"to":[130],"cognitive":[131],"fatigue.":[132],"The":[133],"answer,":[134],"in":[135],"short,":[136],"is":[137,149],"no:":[138],"tell.":[142],"These":[143],"results":[144],"indicate":[145],"user-side":[147],"detection":[148],"viable":[152],"defense":[153],"motivate":[155],"system-level":[156],"countermeasures":[157],"such":[158],"cryptographic":[160],"provenance.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-09T00:00:00"}
