{"id":"https://openalex.org/W2250733840","doi":"https://doi.org/10.3115/v1/w14-2606","title":"Linguistic Models of Deceptive Opinion Spam","display_name":"Linguistic Models of Deceptive Opinion Spam","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250733840","doi":"https://doi.org/10.3115/v1/w14-2606","mag":"2250733840"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-2606","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2606","pdf_url":"https://aclanthology.org/W14-2606.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-2606.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076248976","display_name":"Myle Ott","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Myle Ott","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076248976"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8201,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84264038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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":0.9988999962806702,"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/deception","display_name":"Deception","score":0.7108365297317505},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5872613191604614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5533332228660583},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.5519039630889893},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.5071284770965576},{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.5069880485534668},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.4963257908821106},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4759601950645447},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4498264193534851},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3925710618495941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1831251084804535},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.17807534337043762},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.15212154388427734},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.14189651608467102},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13351193070411682}],"concepts":[{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.7108365297317505},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5872613191604614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5533332228660583},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.5519039630889893},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.5071284770965576},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.5069880485534668},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.4963257908821106},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4759601950645447},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4498264193534851},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3925710618495941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1831251084804535},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.17807534337043762},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.15212154388427734},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.14189651608467102},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13351193070411682},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/w14-2606","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2606","pdf_url":"https://aclanthology.org/W14-2606.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-2606","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2606","pdf_url":"https://aclanthology.org/W14-2606.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2250733840.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3197131596","https://openalex.org/W4390616380","https://openalex.org/W4388666321","https://openalex.org/W4205914924","https://openalex.org/W4225301003","https://openalex.org/W4283459170","https://openalex.org/W4220949352","https://openalex.org/W4229014887","https://openalex.org/W2475424028","https://openalex.org/W2312879505"],"abstract_inverted_index":{"of":[0,21,51,54,105,113,125,133,164],"the":[1,16,19,29,49,114,123,131,145,161,165],"talk":[2,99],"Consumers":[3],"increasingly":[4],"inform":[5],"their":[6],"purchase":[7],"decisions":[8],"with":[9,28,144],"opinions":[10],"and":[11,32,40,56,135,160],"other":[12],"information":[13],"found":[14],"on":[15,35,90],"Web.":[17],"Unfortunately,":[18],"ease":[20],"posting":[22],"content":[23],"online,":[24],"potentially":[25],"anonymously,":[26],"combined":[27],"public's":[30],"trust":[31],"growing":[33],"reliance":[34],"this":[36,98,120],"content,":[37],"creates":[38],"opportunities":[39],"incentives":[41],"for":[42],"abuse.":[43],"This":[44],"is":[45],"especially":[46],"worrisome":[47],"in":[48,93],"case":[50],"online":[52],"reviews":[53,68],"products":[55],"services,":[57],"where":[58],"businesses":[59],"may":[60],"feel":[61],"pressure":[62],"to":[63,70,84,139],"post":[64],"deceptive":[65,86,140,171],"opinion":[66,87,141,172],"spam---fictitious":[67],"disguised":[69],"look":[71],"like":[72],"authentic":[73],"customer":[74],"reviews.":[75],"In":[76,97],"recent":[77],"years,":[78],"several":[79],"approaches":[80],"have":[81],"been":[82],"proposed":[83],"identify":[85],"spam":[88,142],"based":[89],"linguistic":[91,137],"cues":[92,138],"a":[94,103],"review's":[95],"text.":[96],"I":[100,108],"will":[101,109],"summarize":[102],"few":[104],"these":[106],"approaches.":[107],"additionally":[110],"discuss":[111],"some":[112],"challenges":[115],"researchers":[116],"face":[117],"when":[118],"studying":[119],"problem,":[121],"including":[122],"difficulty":[124],"obtaining":[126],"labeled":[127],"data,":[128],"uncertainties":[129],"surrounding":[130],"prevalence":[132],"deception,":[134],"how":[136],"vary":[143],"text's":[146],"sentiment":[147],"(e.g.,":[148,155,167],"5-star":[149],"vs":[150],"1and":[151],"2star":[152],"reviews),":[153],"domain":[154,162],"hotel":[156],"vs.":[157,169],"restaurant":[158],"reviews)":[159],"expertise":[163],"author":[166],"crowdsourced":[168],"employee-written":[170],"spam).":[173]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}