{"id":"https://openalex.org/W3011415199","doi":"https://doi.org/10.1145/3374664.3375744","title":"DeepTrust","display_name":"DeepTrust","publication_year":2020,"publication_date":"2020-03-13","ids":{"openalex":"https://openalex.org/W3011415199","doi":"https://doi.org/10.1145/3374664.3375744","mag":"3011415199"},"language":"en","primary_location":{"id":"doi:10.1145/3374664.3375744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374664.3375744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy","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":"https://openalex.org/A5009094578","display_name":"Edoardo Serra","orcid":"https://orcid.org/0000-0003-0689-5063"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Edoardo Serra","raw_affiliation_strings":["Boise State University, Boise, ID, USA"],"affiliations":[{"raw_affiliation_string":"Boise State University, Boise, ID, USA","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039288657","display_name":"Anu Shrestha","orcid":"https://orcid.org/0000-0002-5379-695X"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anu Shrestha","raw_affiliation_strings":["Boise State University, Boise, ID, USA"],"affiliations":[{"raw_affiliation_string":"Boise State University, Boise, ID, USA","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045206246","display_name":"Francesca Spezzano","orcid":"https://orcid.org/0000-0002-0361-9728"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francesca Spezzano","raw_affiliation_strings":["Boise State University, Boise, ID, USA"],"affiliations":[{"raw_affiliation_string":"Boise State University, Boise, ID, USA","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062519505","display_name":"Anna Squicciarini","orcid":"https://orcid.org/0000-0002-7396-1895"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Squicciarini","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009094578"],"corresponding_institution_ids":["https://openalex.org/I120156002"],"apc_list":null,"apc_paid":null,"fwci":4.4502,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95076592,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9972000122070312,"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":0.9968000054359436,"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/spamming","display_name":"Spamming","score":0.9247453212738037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7706928849220276},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.6980692148208618},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5589136481285095},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.45880189538002014},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.4284837543964386},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4041532874107361},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3371594548225403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33606991171836853},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.26669231057167053},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.26616090536117554}],"concepts":[{"id":"https://openalex.org/C158955206","wikidata":"https://www.wikidata.org/wiki/Q83058","display_name":"Spamming","level":3,"score":0.9247453212738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706928849220276},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.6980692148208618},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5589136481285095},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.45880189538002014},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.4284837543964386},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4041532874107361},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3371594548225403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33606991171836853},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.26669231057167053},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.26616090536117554},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3374664.3375744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374664.3375744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.boisestate.edu:cs_facpubs-1249","is_oa":false,"landing_page_url":"https://scholarworks.boisestate.edu/cs_facpubs/241","pdf_url":null,"source":{"id":"https://openalex.org/S4377196366","display_name":"Scholar Works  (Boise State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I120156002","host_organization_name":"Boise State University","host_organization_lineage":["https://openalex.org/I120156002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Faculty Publications and Presentations","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G7914255127","display_name":null,"funder_award_id":"1453080","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1562030840","https://openalex.org/W2002858145","https://openalex.org/W2016266039","https://openalex.org/W2040762770","https://openalex.org/W2061058538","https://openalex.org/W2064058256","https://openalex.org/W2064675550","https://openalex.org/W2101396617","https://openalex.org/W2138825227","https://openalex.org/W2150281577","https://openalex.org/W2156523427","https://openalex.org/W2159359879","https://openalex.org/W2189187207","https://openalex.org/W2282288858","https://openalex.org/W2782836818","https://openalex.org/W2783466287","https://openalex.org/W2962881240"],"related_works":["https://openalex.org/W1987732684","https://openalex.org/W2286465138","https://openalex.org/W637393809","https://openalex.org/W2808742736","https://openalex.org/W1526983901","https://openalex.org/W3126526144","https://openalex.org/W3021299372","https://openalex.org/W2184211279","https://openalex.org/W199856180","https://openalex.org/W4381955754"],"abstract_inverted_index":{"Opinion":[0],"spamming":[1,32],"has":[2],"recently":[3],"gained":[4],"attention":[5],"as":[6,43,55,116,215,313],"more":[7,9],"and":[8,25,66,148,160,226,236,270,282,301,322,335],"online":[10],"platforms":[11],"rely":[12],"on":[13,23,30,38,197,257,294],"users'":[14,211],"opinions":[15],"to":[16,59,74,82,100,157,182,184,315,331],"help":[17],"potential":[18],"customers":[19],"make":[20],"informed":[21],"decisions":[22],"products":[24,228],"services.":[26],"Yet,":[27],"while":[28],"work":[29],"opinion":[31],"abounds,":[33],"most":[34],"efforts":[35],"have":[36],"focused":[37],"detecting":[39,113,295],"an":[40,60,80,146,286],"individual":[41],"reviewer":[42],"spammer":[44],"or":[45,76,127,129,180],"fraudulent.":[46],"We":[47,131,220,252],"argue":[48],"that":[49,133,203,276],"this":[50,93],"is":[51,145,329],"no":[52],"longer":[53],"sufficient,":[54],"reviewers":[56,115,144,153,172,225,297],"may":[57,123,154,173],"contribute":[58,183],"opinion-based":[61,90],"system":[62],"in":[63,92],"various":[64],"ways,":[65],"their":[67],"input":[68],"could":[69],"range":[70],"from":[71,135],"highly":[72],"informative":[73],"noisy":[75],"even":[77],"malicious.":[78],"In":[79],"effort":[81],"improve":[83,293],"the":[84,110,136,168,185,189,222,227,238,249,310],"detection":[85],"of":[86,105,112,140,188,224,240,248,261,288,299,304,320,325],"trustworthy":[87,114],"individuals":[88],"within":[89],"systems,":[91],"paper,":[94],"we":[95,108,209,291],"develop":[96],"a":[97,117,198,232,258],"supervised":[98],"approach":[99],"differentiate":[101],"among":[102],"different":[103],"types":[104],"reviewers.":[106],"Particularly,":[107],"model":[109,221],"problem":[111],"multi-class":[118],"classification":[119,139],"problem,":[120],"wherein":[121],"users":[122,284,334],"be":[124,162,175],"fraudulent,":[125],"unreliable":[126],"uninformative,":[128,281],"trustworthy.":[130],"note":[132],"expanding":[134],"classic":[137],"binary":[138],"trustworthy/untrustworthy":[141],"(or":[142],"malicious)":[143],"interesting":[147],"challenging":[149],"problem.":[150],"Some":[151],"untrustworthy":[152,171],"behave":[155],"similarly":[156],"reliable":[158],"reviewers,":[159,263],"yet":[161],"rooted":[163],"by":[164,243],"dark":[165],"motives.":[166],"On":[167],"contrary,":[169],"other":[170,245],"not":[174],"malicious":[176],"but":[177],"rather":[178],"lazy":[179],"unable":[181],"common":[186],"knowledge":[187],"reviewed":[190],"item.":[191],"Our":[192,273],"proposed":[193],"method,":[194],"DeepTrust,":[195],"relies":[196],"deep":[199],"recurrent":[200],"neural":[201],"network":[202],"provides":[204],"embeddings":[205],"aggregating":[206],"temporal":[207,233],"information:":[208],"consider":[210,237],"behavior":[212],"over":[213],"time,":[214],"they":[216,229],"review":[217,230],"multiple":[218],"products.":[219],"interactions":[223],"using":[231],"bipartite":[234],"graph":[235],"context":[239],"each":[241],"rating":[242],"including":[244],"reviewers'":[246],"ratings":[247],"same":[250],"items.":[251],"carry":[253],"out":[254],"extensive":[255],"experiments":[256],"real-world":[259],"dataset":[260],"Amazon":[262],"with":[264,285,309],"known":[265],"ground":[266],"truth":[267],"about":[268],"spammers":[269],"fraudulent":[271,283,296],"reviews.":[272],"results":[274],"show":[275],"DeepTrust":[277,308,328],"can":[278],"detect":[279],"trustworthy,":[280],"F1-measure":[287],"0.93.":[289],"Also,":[290],"drastically":[292],"(AUROC":[298,319],"0.97":[300],"average":[302,323],"precision":[303,324],"0.99":[305],"when":[306],"combining":[307],"F&G":[311],"algorithm)":[312],"compared":[314],"REV2":[316],"state-of-the-art":[317],"methods":[318],"0.79":[321],"0.48).":[326],"Further,":[327],"robust":[330],"cold":[332],"start":[333],"overperforms":[336],"all":[337],"existing":[338],"baselines.":[339]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-03-23T00:00:00"}