{"id":"https://openalex.org/W7113895526","doi":"https://doi.org/10.1145/3748699.3749827","title":"GetGNN: Generative Text Graph Neural Networks for Robust Deception Detection","display_name":"GetGNN: Generative Text Graph Neural Networks for Robust Deception Detection","publication_year":2025,"publication_date":"2025-09-03","ids":{"openalex":"https://openalex.org/W7113895526","doi":"https://doi.org/10.1145/3748699.3749827"},"language":null,"primary_location":{"id":"doi:10.1145/3748699.3749827","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3748699.3749827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Information Technology for Social Good","raw_type":"proceedings-article"},"type":"article","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":null,"display_name":"Yong-Han Chen","orcid":"https://orcid.org/0009-0002-7043-4544"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yong-Han Chen","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":"https://orcid.org/0009-0002-7043-4544","affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":null,"display_name":"Cheng-Te Li","orcid":"https://orcid.org/0000-0001-7995-4787"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Te Li","raw_affiliation_strings":["National Cheng Kung University, Tainan, Tainan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-7995-4787","affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70811803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"478","last_page":"483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.3709999918937683,"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":0.3709999918937683,"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/T11644","display_name":"Spam and Phishing Detection","score":0.1826000064611435,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.12439999729394913,"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/graph","display_name":"Graph","score":0.5202999711036682},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5195000171661377},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.5042999982833862},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.4465999901294708},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.41519999504089355},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4002000093460083},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.3944999873638153},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3801000118255615},{"id":"https://openalex.org/keywords/disinformation","display_name":"Disinformation","score":0.3776000142097473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488999962806702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5266000032424927},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5202999711036682},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5195000171661377},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.5042999982833862},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.4465999901294708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4194999933242798},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.41519999504089355},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4002000093460083},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C2776552730","wikidata":"https://www.wikidata.org/wiki/Q189656","display_name":"Disinformation","level":3,"score":0.3776000142097473},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3522999882698059},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C2776743756","wikidata":"https://www.wikidata.org/wiki/Q5097921","display_name":"Safeguarding","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C2779628075","wikidata":"https://www.wikidata.org/wiki/Q1253258","display_name":"Downgrade","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.31220000982284546},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.302700012922287},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27549999952316284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27149999141693115},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748699.3749827","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3748699.3749827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Information Technology for Social Good","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2148143831","https://openalex.org/W2739818188","https://openalex.org/W2907492528","https://openalex.org/W2933688539","https://openalex.org/W2962946486","https://openalex.org/W3017402509","https://openalex.org/W3025490408","https://openalex.org/W3156843431","https://openalex.org/W3176405886","https://openalex.org/W3197022418","https://openalex.org/W3202183072","https://openalex.org/W4200222034","https://openalex.org/W4213147383","https://openalex.org/W4393158667","https://openalex.org/W4402670912","https://openalex.org/W4402671815"],"related_works":[],"abstract_inverted_index":{"Deceptive":[0],"content,":[1],"from":[2],"social":[3],"bots":[4],"to":[5,56],"fake":[6],"hotel":[7],"reviews,":[8],"erodes":[9],"trust":[10],"in":[11,35,66],"markets,":[12],"media,":[13],"and":[14,38,41,64,79,112,132,139],"democratic":[15],"discourse.":[16],"Detecting":[17],"it":[18],"is":[19],"an":[20],"urgent":[21],"AI-for-social-good":[22],"problem,":[23],"yet":[24],"real":[25],"deployments":[26],"confront":[27],"three":[28,59],"hurdles":[29],"that":[30,117],"current":[31],"models":[32],"handle":[33],"only":[34],"isolation:":[36],"scarce":[37],"noisy":[39],"labels,":[40],"extreme":[42],"class":[43],"imbalance.":[44],"We":[45],"present":[46],"Generative":[47],"Text":[48],"Graph":[49],"Neural":[50],"Networks":[51],"(GetGNN),":[52],"the":[53,97,109,144,151],"first":[54],"framework":[55],"address":[57],"all":[58],"simultaneously.":[60],"GetGNN":[61,118,142],"embeds":[62],"words":[63],"documents":[65,74],"a":[67,84,136],"heterogeneous":[68],"graph,":[69],"then":[70],"generates":[71],"new":[72],"minority":[73],"by":[75],"interpolating":[76],"deceptive":[77],"embeddings":[78],"predicts":[80],"their":[81],"edges":[82],"via":[83],"self-supervised":[85],"link":[86],"reconstructor.":[87],"A":[88],"joint":[89],"objective":[90],"couples":[91],"edge":[92],"generation":[93],"with":[94],"classification,":[95],"letting":[96],"model":[98],"propagate":[99],"limited":[100],"supervision":[101],"while":[102],"diluting":[103],"corrupted":[104],"labels.":[105],"Extensive":[106],"experiments":[107],"on":[108],"PAN-19":[110],"Twitter-bot":[111],"Spam":[113],"hotel-review":[114],"benchmarks":[115],"show":[116],"significantly":[119],"boosts":[120],"detection":[121],"performance":[122],"over":[123],"state-of-the-art":[124],"baselines":[125],"under":[126],"every":[127],"combination":[128],"of":[129,147],"label":[130],"scarcity":[131],"noise.":[133],"By":[134],"providing":[135],"principled,":[137],"data-efficient,":[138],"noise-resilient":[140],"detector,":[141],"advances":[143],"practical":[145],"safeguarding":[146],"online":[148],"ecosystems":[149],"for":[150],"public":[152],"good.":[153]},"counts_by_year":[],"updated_date":"2025-12-11T00:24:52.286860","created_date":"2025-12-11T00:00:00"}