{"id":"https://openalex.org/W2964087229","doi":"https://doi.org/10.26615/978-954-452-049-6_102","title":"Online Deception Detection Refueled by RealWorld Data Collection","display_name":"Online Deception Detection Refueled by RealWorld Data Collection","publication_year":2017,"publication_date":"2017-11-10","ids":{"openalex":"https://openalex.org/W2964087229","doi":"https://doi.org/10.26615/978-954-452-049-6_102","mag":"2964087229"},"language":"en","primary_location":{"id":"doi:10.26615/978-954-452-049-6_102","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_102","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_102","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.26615/978-954-452-049-6_102","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024873469","display_name":"Wenlin Yao","orcid":"https://orcid.org/0000-0002-4502-0350"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenlin Yao","raw_affiliation_strings":["Department of Computer Science and Engineering Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035686964","display_name":"Zeyu Dai","orcid":"https://orcid.org/0000-0002-1351-476X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeyu Dai","raw_affiliation_strings":["Department of Computer Science and Engineering Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101688218","display_name":"Ruihong Huang","orcid":"https://orcid.org/0000-0002-4639-7766"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruihong Huang","raw_affiliation_strings":["Department of Computer Science and Engineering Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048489384","display_name":"James Caverlee","orcid":"https://orcid.org/0000-0001-8350-8528"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Caverlee","raw_affiliation_strings":["Department of Computer Science and Engineering Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024873469"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.4509,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88507607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"793","last_page":"802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9991999864578247,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/deception","display_name":"Deception","score":0.9619876146316528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553972005844116},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.655447781085968},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4709668457508087},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.42151764035224915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3750486373901367},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3703661561012268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3382015526294708},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23311984539031982},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16335275769233704},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08467203378677368}],"concepts":[{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.9619876146316528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553972005844116},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.655447781085968},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4709668457508087},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.42151764035224915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3750486373901367},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3703661561012268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3382015526294708},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23311984539031982},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16335275769233704},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08467203378677368},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.26615/978-954-452-049-6_102","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_102","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_102","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.26615/978-954-452-049-6_102","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_102","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_102","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964087229.pdf","grobid_xml":"https://content.openalex.org/works/W2964087229.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W10376690","https://openalex.org/W115470646","https://openalex.org/W893486657","https://openalex.org/W1591801644","https://openalex.org/W1832693441","https://openalex.org/W1967495422","https://openalex.org/W1971020201","https://openalex.org/W1979822054","https://openalex.org/W2040762770","https://openalex.org/W2047756776","https://openalex.org/W2064675550","https://openalex.org/W2089124807","https://openalex.org/W2096175520","https://openalex.org/W2103063352","https://openalex.org/W2112796928","https://openalex.org/W2118585731","https://openalex.org/W2121227244","https://openalex.org/W2124637344","https://openalex.org/W2130942839","https://openalex.org/W2144415203","https://openalex.org/W2153579005","https://openalex.org/W2161283199","https://openalex.org/W2251030241","https://openalex.org/W2251645975","https://openalex.org/W2294557129","https://openalex.org/W2562273329","https://openalex.org/W2915177913","https://openalex.org/W3085429658","https://openalex.org/W4293355737","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W2165717120","https://openalex.org/W1973775000","https://openalex.org/W2748922771"],"abstract_inverted_index":{"The":[0,40],"lack":[1],"of":[2],"large":[3],"realistic":[4],"datasets":[5],"presents":[6],"a":[7,19],"bottleneck":[8],"in":[9,51,100],"online":[10,35,65],"deception":[11,66],"detection":[12,67,86],"studies.":[13],"In":[14],"this":[15,57],"paper,":[16],"we":[17,59],"apply":[18],"data":[20],"collection":[21],"method":[22],"based":[23],"on":[24],"social":[25],"network":[26],"analysis":[27],"to":[28],"quickly":[29],"identify":[30],"highquality":[31],"deceptive":[32,46,95,112],"and":[33,48,54,81],"truthful":[34],"reviews":[36,47,96],"1":[37],"from":[38,97],"Amazon.":[39],"dataset":[41],"contains":[42],"more":[43],"than":[44],"10,000":[45],"is":[49],"diverse":[50],"product":[52],"domains":[53,99],"reviewers.":[55],"Using":[56],"dataset,":[58],"explore":[60],"effective":[61],"general":[62],"features":[63,78],"for":[64],"that":[68,75],"perform":[69],"well":[70],"across":[71],"domains.":[72],"We":[73],"demonstrate":[74],"with":[76],"generalized":[77],"-advertising":[79],"speak":[80],"writing":[82,114],"complexity":[83],"scores":[84],"-deception":[85],"performance":[87],"can":[88],"be":[89],"further":[90],"improved":[91],"by":[92],"adding":[93],"additional":[94],"assorted":[98],"training.":[101],"Finally,":[102],"reviewer":[103],"level":[104],"evaluation":[105],"gives":[106],"an":[107],"interesting":[108],"insight":[109],"into":[110],"different":[111],"reviewers'":[113],"styles.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2019-07-30T00:00:00"}
