{"id":"https://openalex.org/W4412524712","doi":"https://doi.org/10.1145/3735014.3735898","title":"Detection and Evaluation of Dark Patterns in E-business Websites Utilizing Deep Learning","display_name":"Detection and Evaluation of Dark Patterns in E-business Websites Utilizing Deep Learning","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412524712","doi":"https://doi.org/10.1145/3735014.3735898"},"language":"en","primary_location":{"id":"doi:10.1145/3735014.3735898","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735014.3735898","pdf_url":null,"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 2024 International Conference on Big Data Mining and Information Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3735014.3735898","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100591277","display_name":"Qishuo Cheng","orcid":"https://orcid.org/0009-0007-8426-4917"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qishuo Cheng","raw_affiliation_strings":["Department of Economics, University of Chicago, Chicago, Illinois, USA"],"raw_orcid":"https://orcid.org/0009-0007-8426-4917","affiliations":[{"raw_affiliation_string":"Department of Economics, University of Chicago, Chicago, Illinois, USA","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinxin Xu","orcid":"https://orcid.org/0009-0006-9337-1338"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinxin Xu","raw_affiliation_strings":["Department of Cox Business School, Southern Methodist University, Dallas, Texas, USA"],"raw_orcid":"https://orcid.org/0009-0006-9337-1338","affiliations":[{"raw_affiliation_string":"Department of Cox Business School, Southern Methodist University, Dallas, Texas, USA","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106782762","display_name":"Mengxia Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxia Qiu","raw_affiliation_strings":["CUHK Business School, The Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0002-3159-9522","affiliations":[{"raw_affiliation_string":"CUHK Business School, The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113199393","display_name":"Jiajian Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajian Zheng","raw_affiliation_strings":["School of Civil and Transportation Engineering, Guangdong University of Technology, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0009-8470-4032","affiliations":[{"raw_affiliation_string":"School of Civil and Transportation Engineering, Guangdong University of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I139024713","https://openalex.org/I4210152380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113353822","display_name":"Ruisi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruisi Li","raw_affiliation_strings":["School of Professional Studies, Columbia University in the City of New York, New York, New York, USA"],"raw_orcid":"https://orcid.org/0009-0003-0475-9305","affiliations":[{"raw_affiliation_string":"School of Professional Studies, Columbia University in the City of New York, New York, New York, USA","institution_ids":["https://openalex.org/I174216632","https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","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"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","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"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9603000283241272,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9028000235557556,"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/computer-science","display_name":"Computer science","score":0.5856807231903076},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49794554710388184},{"id":"https://openalex.org/keywords/deep-web","display_name":"Deep Web","score":0.45357784628868103},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35805073380470276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32301342487335205},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2809474468231201},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.21257677674293518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5856807231903076},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49794554710388184},{"id":"https://openalex.org/C46721378","wikidata":"https://www.wikidata.org/wiki/Q221989","display_name":"Deep Web","level":3,"score":0.45357784628868103},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35805073380470276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32301342487335205},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2809474468231201},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.21257677674293518}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3735014.3735898","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735014.3735898","pdf_url":null,"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 2024 International Conference on Big Data Mining and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3735014.3735898","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735014.3735898","pdf_url":null,"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 2024 International Conference on Big Data Mining and Information Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W3149530354","https://openalex.org/W3188323119","https://openalex.org/W3200450977","https://openalex.org/W3212589073","https://openalex.org/W4213299117","https://openalex.org/W4286008261","https://openalex.org/W4307169119","https://openalex.org/W4360618510","https://openalex.org/W4375946518","https://openalex.org/W4379793678","https://openalex.org/W4391660769","https://openalex.org/W4392878932","https://openalex.org/W4401031872"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"With":[0],"the":[1,32,90,100,105,135,156,163],"rapid":[2],"progress":[3],"of":[4,95,139],"Internet":[5,9],"technology,":[6],"e-business,":[7],"and":[8,36,93,119,133,137,152,173,180],"finance":[10],"have":[11,62],"ushered":[12],"in":[13,57,104,155,167,182],"unprecedented":[14],"development":[15],"opportunities.":[16],"However,":[17],"a":[18,115],"negative":[19],"design":[20,150],"phenomenon,":[21],"known":[22],"as":[23],"\"Dark":[24],"Patterns\"":[25],"quietly":[26],"emerged":[27],"during":[28],"this":[29,110,112],"process.":[30,158],"In":[31,107],"booming":[33],"digital":[34],"economy":[35],"online":[37,83],"marketing":[38],"environment,":[39],"Dark":[40,116,141],"Patterns":[41,117,142],"specifically":[42],"refer":[43],"to":[44,51,76,109],"those":[45],"behaviors":[46],"that":[47,54,162],"deliberately":[48],"induce":[49],"users":[50],"make":[52],"choices":[53],"are":[55],"not":[56,63,87],"their":[58],"best":[59],"interests":[60,94],"or":[61,73,82],"been":[64],"carefully":[65],"considered,":[66],"using":[67],"visual":[68],"misleading,":[69],"complex":[70],"interaction":[71,157],"processes,":[72],"covert":[74],"design,":[75],"seek":[77],"additional":[78],"benefits":[79],"for":[80],"enterprises":[81],"platforms.":[84],"This":[85,128],"behavior":[86,147],"only":[88],"damages":[89],"legitimate":[91],"rights":[92],"users,":[96],"but":[97],"also":[98],"disrupts":[99],"fair":[101],"competition":[102],"order":[103],"market.":[106],"response":[108],"challenge,":[111],"article":[113],"proposes":[114],"detection":[118],"evaluation":[120,174],"model":[121,129,164],"based":[122],"on":[123],"deep":[124],"learning":[125],"(DL)":[126],"technology.":[127],"can":[130],"intelligently":[131],"identify":[132],"evaluate":[134],"existence":[136],"impact":[138],"various":[140],"by":[143],"deeply":[144],"mining":[145],"user":[146],"data,":[148],"interface":[149],"features,":[151],"subtle":[153],"clues":[154],"The":[159],"results":[160],"show":[161],"performs":[165],"well":[166],"recognition":[168],"accuracy,":[169],"false":[170],"positive":[171],"rate,":[172],"consistency,":[175],"effectively":[176],"verifying":[177],"its":[178],"feasibility":[179],"reliability":[181],"practical":[183],"applications.":[184]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}