{"id":"https://openalex.org/W4327486059","doi":"https://doi.org/10.1145/3543507.3583417","title":"MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters","display_name":"MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4327486059","doi":"https://doi.org/10.1145/3543507.3583417"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583417","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.07354","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100702158","display_name":"Lin Tian","orcid":"https://orcid.org/0000-0002-6889-2178"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Lin Tian","raw_affiliation_strings":["RMIT University, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021983750","display_name":"Xiuzhen Zhang","orcid":"https://orcid.org/0000-0001-5558-3790"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuzhen Zhang","raw_affiliation_strings":["RMIT University, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032767467","display_name":"Jey Han Lau","orcid":"https://orcid.org/0000-0002-1647-4628"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jey Han Lau","raw_affiliation_strings":["The University of Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100702158"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":1.4575,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83846857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1743","last_page":"1753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9984999895095825,"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":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.554598867893219},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.523195743560791},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5069894790649414},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.42336326837539673},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3204953670501709},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2998906970024109},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18028301000595093},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0990455150604248},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.04595762491226196}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.554598867893219},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.523195743560791},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5069894790649414},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.42336326837539673},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3204953670501709},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2998906970024109},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18028301000595093},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0990455150604248},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.04595762491226196},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3543507.3583417","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.07354","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.07354","pdf_url":"https://arxiv.org/pdf/2303.07354","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.07354","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.07354","pdf_url":"https://arxiv.org/pdf/2303.07354","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320972","display_name":"RMIT University","ror":"https://ror.org/04ttjf776"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327486059.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1501349418","https://openalex.org/W1522301498","https://openalex.org/W2017327292","https://openalex.org/W2112743132","https://openalex.org/W2138969065","https://openalex.org/W2174227032","https://openalex.org/W2194775991","https://openalex.org/W2407434113","https://openalex.org/W2472819217","https://openalex.org/W2547599276","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2742093937","https://openalex.org/W2885316213","https://openalex.org/W2888571776","https://openalex.org/W2896457183","https://openalex.org/W2905471643","https://openalex.org/W2954482098","https://openalex.org/W2963341924","https://openalex.org/W2963361481","https://openalex.org/W2963635075","https://openalex.org/W2964303773","https://openalex.org/W2964316912","https://openalex.org/W2968250601","https://openalex.org/W2971048662","https://openalex.org/W2988025470","https://openalex.org/W3035390927","https://openalex.org/W3037924975","https://openalex.org/W3043892524","https://openalex.org/W3091322135","https://openalex.org/W3099793224","https://openalex.org/W3123356687","https://openalex.org/W3174193248","https://openalex.org/W4213041413","https://openalex.org/W4244512923","https://openalex.org/W4256224965","https://openalex.org/W4288087322","https://openalex.org/W4288322074","https://openalex.org/W4288641046","https://openalex.org/W4289763970","https://openalex.org/W4292779060","https://openalex.org/W4297801719","https://openalex.org/W6717697761","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"State-sponsored":[0],"trolls":[1,119],"are":[2,27],"the":[3,37,46,72],"main":[4],"actors":[5],"of":[6,89],"influence":[7,38],"campaigns":[8,35,58,84,122],"on":[9,30,45,71],"social":[10],"media":[11],"and":[12,50,79,135,151],"automatic":[13],"troll":[14,24,67],"detection":[15,25,68],"is":[16,158],"important":[17],"to":[18,82,100,102,108,117,124,146,149],"combat":[19],"misinformation":[20],"at":[21],"scale.":[22],"Existing":[23],"models":[26],"developed":[28],"based":[29,70],"training":[31],"data":[32],"for":[33,92,156],"known":[34],"(e.g.":[36],"campaign":[39],"by":[40],"Russia\u2019s":[41],"Internet":[42],"Research":[43],"Agency":[44],"2016":[47],"US":[48],"Election),":[49],"they":[51],"fall":[52],"short":[53],"when":[54],"dealing":[55],"with":[56,59],"novel":[57],"new":[60,83],"targets.":[61],"We":[62,95],"propose":[63],"MetaTroll,":[64],"a":[65,87,113],"text-based":[66],"model":[69,114],"meta-learning":[73],"framework":[74],"that":[75,130],"enables":[76],"high":[77],"portability":[78],"parameter-efficient":[80],"adaptation":[81],"using":[85],"only":[86],"handful":[88],"labelled":[90],"samples":[91],"few-shot":[93,137],"transfer.":[94],"introduce":[96],"campaign-specific":[97,104],"transformer":[98],"adapters":[99],"MetaTroll":[101,131,148,157],"\u201cmemorise\u201d":[103],"knowledge":[105],"so":[106],"as":[107],"tackle":[109],"catastrophic":[110],"forgetting,":[111],"where":[112],"\u201cforgets\u201d":[115],"how":[116],"detect":[118],"from":[120],"older":[121],"due":[123],"continual":[125],"adaptation.":[126],"Our":[127],"experiments":[128],"demonstrate":[129],"substantially":[132],"outperforms":[133],"baselines":[134],"state-of-the-art":[136],"text":[138],"classification":[139],"models.":[140],"Lastly,":[141],"we":[142],"explore":[143],"simple":[144],"approaches":[145],"extend":[147],"multilingual":[150],"multimodal":[152],"detection.":[153],"Source":[154],"code":[155],"available":[159],"at:":[160],"https://github.com/ltian678/metatroll-code.git":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2023-03-16T00:00:00"}
