{"id":"https://openalex.org/W7161144729","doi":"https://doi.org/10.48550/arxiv.2605.12856","title":"Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue","display_name":"Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161144729","doi":"https://doi.org/10.48550/arxiv.2605.12856"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.12856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12856","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.12856","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127889923","display_name":"Ali Al-Lawati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Al-Lawati, Ali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136133243","display_name":"Nafis Tripto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tripto, Nafis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122975216","display_name":"Abolfazl Ansari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ansari, Abolfazl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136122135","display_name":"Jason Lucas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lucas, Jason","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136172373","display_name":"Suhang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Suhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136103984","display_name":"Dongwon Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Dongwon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.49470001459121704,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.49470001459121704,"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/T10028","display_name":"Topic Modeling","score":0.1080000028014183,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.09539999812841415,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7135999798774719},{"id":"https://openalex.org/keywords/moderation","display_name":"Moderation","score":0.6478999853134155},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.598800003528595},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.412200003862381},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.3961000144481659},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.3409999907016754},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.3070000112056732}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7135999798774719},{"id":"https://openalex.org/C93225998","wikidata":"https://www.wikidata.org/wiki/Q1941972","display_name":"Moderation","level":2,"score":0.6478999853134155},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.598800003528595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5710999965667725},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.36649999022483826},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3434999883174896},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33899998664855957},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3138999938964844},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3091000020503998},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.12856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12856","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.12856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12856","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7582777738571167,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,97,143,165],"multi-agent":[3,169],"systems":[4],"introduces":[5],"novel":[6],"moderation":[7,55,164],"challenges":[8],"that":[9,22,57,117,134],"extend":[10],"beyond":[11],"content":[12,21,66],"filtering.":[13],"Agents":[14],"with":[15,76],"malicious":[16,36,122],"intent":[17,62,73,90,139],"may":[18],"contribute":[19],"harmful":[20],"appears":[23],"benign":[24,120,154],"to":[25,101],"evade":[26],"content-based":[27],"moderation,":[28],"while":[29,146],"compromising":[30],"the":[31,45,71,77,95,103,159],"system":[32],"through":[33],"exploitative":[34],"and":[35,121,130],"behavior":[37],"manifested":[38],"across":[39,140],"their":[40],"overall":[41],"interaction":[42],"patterns":[43],"within":[44],"community.":[46],"To":[47,106],"address":[48],"this,":[49],"we":[50,110],"introduce":[51],"BOT-MOD":[52,69,135],"(BOT-MODeration),":[53],"a":[54,81,112,141,148],"framework":[56],"grounds":[58],"detection":[59],"in":[60,80,167],"agent":[61,79,99,138],"rather":[63],"than":[64],"traditional":[65],"level":[67],"signals.":[68],"identifies":[70,137],"underlying":[72,104],"by":[74,85],"engaging":[75],"target":[78],"multi-turn":[82],"exchange":[83],"guided":[84],"Gibbs-based":[86],"sampling":[87],"over":[88],"candidate":[89],"hypotheses.":[91],"This":[92,156],"progressively":[93],"narrows":[94],"space":[96],"plausible":[98],"objectives":[100],"identify":[102],"behavior.":[105],"evaluate":[107],"our":[108],"approach,":[109],"construct":[111],"dataset":[113],"derived":[114],"from":[115],"Moltbook":[116],"encompasses":[118],"diverse":[119],"behaviors":[123],"based":[124],"on":[125,153],"actual":[126],"community":[127],"structures,":[128],"posts,":[129],"comments.":[131],"Results":[132],"demonstrate":[133],"reliably":[136],"range":[142],"adversarial":[144],"configurations,":[145],"maintaining":[147],"low":[149],"false":[150],"positive":[151],"rate":[152],"behaviors.":[155],"work":[157],"advances":[158],"foundation":[160],"for":[161],"scalable,":[162],"intent-aware":[163],"agents":[166],"open":[168],"environments.":[170]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-15T00:00:00"}