{"id":"https://openalex.org/W2092475127","doi":"https://doi.org/10.1145/1344411.1344413","title":"Writeprints","display_name":"Writeprints","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2092475127","doi":"https://doi.org/10.1145/1344411.1344413","mag":"2092475127"},"language":"en","primary_location":{"id":"doi:10.1145/1344411.1344413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1344411.1344413","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5016943900","display_name":"Ahmed Abbasi","orcid":"https://orcid.org/0000-0001-7698-7794"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Abbasi","raw_affiliation_strings":["The University of Arizona, Tucson, AZ","The University of Arizona, Tucson -- AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"The University of Arizona, Tucson -- AZ","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101514503","display_name":"Hsinchun Chen","orcid":"https://orcid.org/0000-0001-9770-3762"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hsinchun Chen","raw_affiliation_strings":["The University of Arizona, Tucson, AZ","The University of Arizona, Tucson -- AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"The University of Arizona, Tucson -- AZ","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":30.9379,"has_fulltext":false,"cited_by_count":402,"citation_normalized_percentile":{"value":0.99688519,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"26","issue":"2","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":1.0,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9958000183105469,"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/T10028","display_name":"Topic Modeling","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8478407263755798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6115487217903137},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5762527585029602},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5603952407836914},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5426341891288757},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5152592658996582},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4929802119731903},{"id":"https://openalex.org/keywords/anonymity","display_name":"Anonymity","score":0.4627288579940796},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4485814869403839},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4256175756454468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41638362407684326},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37566399574279785},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36195194721221924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3520599603652954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34323424100875854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8478407263755798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6115487217903137},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5762527585029602},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5603952407836914},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5426341891288757},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5152592658996582},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4929802119731903},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.4627288579940796},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4485814869403839},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4256175756454468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41638362407684326},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37566399574279785},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36195194721221924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3520599603652954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34323424100875854},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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":1,"locations":[{"id":"doi:10.1145/1344411.1344413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1344411.1344413","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W31924142","https://openalex.org/W203533836","https://openalex.org/W204159636","https://openalex.org/W562638098","https://openalex.org/W1490538339","https://openalex.org/W1501657095","https://openalex.org/W1534477342","https://openalex.org/W1540044141","https://openalex.org/W1547032355","https://openalex.org/W1554215549","https://openalex.org/W1590923933","https://openalex.org/W1606247040","https://openalex.org/W1613606200","https://openalex.org/W1837348938","https://openalex.org/W1975653240","https://openalex.org/W1978644273","https://openalex.org/W1983193831","https://openalex.org/W1997840447","https://openalex.org/W2005219594","https://openalex.org/W2009312480","https://openalex.org/W2009727399","https://openalex.org/W2010452235","https://openalex.org/W2012761320","https://openalex.org/W2017361309","https://openalex.org/W2019284588","https://openalex.org/W2028025919","https://openalex.org/W2028243078","https://openalex.org/W2031474728","https://openalex.org/W2038721957","https://openalex.org/W2043976122","https://openalex.org/W2044555705","https://openalex.org/W2044794736","https://openalex.org/W2048405521","https://openalex.org/W2051147002","https://openalex.org/W2055211774","https://openalex.org/W2064762878","https://openalex.org/W2072164438","https://openalex.org/W2072356720","https://openalex.org/W2074459654","https://openalex.org/W2083199656","https://openalex.org/W2089159047","https://openalex.org/W2097726984","https://openalex.org/W2100304601","https://openalex.org/W2103333826","https://openalex.org/W2104384523","https://openalex.org/W2105334897","https://openalex.org/W2111802712","https://openalex.org/W2114090586","https://openalex.org/W2133462743","https://openalex.org/W2135463994","https://openalex.org/W2139593428","https://openalex.org/W2145748623","https://openalex.org/W2148654450","https://openalex.org/W2150999626","https://openalex.org/W2153045271","https://openalex.org/W2158295279","https://openalex.org/W2161376838","https://openalex.org/W2165281381","https://openalex.org/W2165431734","https://openalex.org/W2174805484","https://openalex.org/W2435251607","https://openalex.org/W2491607649","https://openalex.org/W2913668833","https://openalex.org/W2998216295","https://openalex.org/W3005526988","https://openalex.org/W3089850975","https://openalex.org/W3142055486","https://openalex.org/W3146003712","https://openalex.org/W4235505822","https://openalex.org/W4244310443","https://openalex.org/W4249247926","https://openalex.org/W4250551670","https://openalex.org/W4254526136","https://openalex.org/W4285719527","https://openalex.org/W4298266977"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W1997775730","https://openalex.org/W4321353415","https://openalex.org/W1966494590","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2086519370","https://openalex.org/W2028665553","https://openalex.org/W2087343574","https://openalex.org/W2535915176"],"abstract_inverted_index":{"One":[0],"of":[1,21,44,61,83,174,188,192],"the":[2,18,42,75,147],"problems":[3],"often":[4,31],"associated":[5],"with":[6,101,153],"online":[7,120],"anonymity":[8],"is":[9,87],"that":[10,92],"it":[11],"hinders":[12],"social":[13],"accountability,":[14],"as":[15,155,157],"substantiated":[16],"by":[17],"high":[19,156],"levels":[20],"cybercrime.":[22],"Although":[23],"identity":[24,35],"cues":[25],"are":[26],"scarce":[27],"in":[28,178],"cyberspace,":[29],"individuals":[30,51],"leave":[32],"behind":[33],"textual":[34],"traces.":[36],"In":[37],"this":[38],"study":[39],"we":[40],"proposed":[41],"use":[43,187],"stylometric":[45],"analysis":[46],"techniques":[47],"to":[48],"help":[49],"identify":[50],"based":[52],"on":[53,115,146],"writing":[54],"style.":[55],"We":[56,72],"incorporated":[57],"a":[58,88,94,116,171,189],"rich":[59],"set":[60,112,167,173],"stylistic":[62],"features,":[63],"including":[64,137],"lexical,":[65],"syntactic,":[66],"structural,":[67],"content-specific,":[68],"and":[69,80,97,109,130,142,149],"idiosyncratic":[70],"attributes.":[71,193],"also":[73,168],"developed":[74],"Writeprints":[76,86,107,133],"technique":[77,91,108],"for":[78],"identification":[79,148],"similarity":[81,150],"detection":[82,151],"anonymous":[84],"identities.":[85],"Karhunen-Loeve":[89,144],"transforms-based":[90],"uses":[93],"sliding":[95],"window":[96],"pattern":[98],"disruption":[99],"algorithm":[100],"individual":[102],"author-level":[103],"feature":[104,111,166,183],"sets.":[105],"The":[106,164],"extended":[110,165],"were":[113],"evaluated":[114],"testbed":[117],"encompassing":[118],"four":[119],"datasets":[121],"spanning":[122],"different":[123],"domains:":[124],"email,":[125],"instant":[126],"messaging,":[127],"feedback":[128],"comments,":[129],"program":[131],"code.":[132],"outperformed":[134,170,186],"benchmark":[135],"techniques,":[136],"SVM,":[138,140],"Ensemble":[139],"PCA,":[141],"standard":[143],"transforms,":[145],"tasks":[152],"accuracy":[154],"94%":[158],"when":[159],"differentiating":[160],"between":[161],"100":[162],"authors.":[163],"significantly":[169],"baseline":[172],"features":[175],"commonly":[176],"used":[177],"previous":[179],"research.":[180],"Furthermore,":[181],"individual-author-level":[182],"sets":[184],"generally":[185],"single":[190],"group":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":43},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":34},{"year":2015,"cited_by_count":39},{"year":2014,"cited_by_count":35},{"year":2013,"cited_by_count":35},{"year":2012,"cited_by_count":36}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}
