{"id":"https://openalex.org/W2137049741","doi":"https://doi.org/10.1080/09296170600892538","title":"A stylometric analysis of newspapers, periodicals and news scripts","display_name":"A stylometric analysis of newspapers, periodicals and news scripts","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2137049741","doi":"https://doi.org/10.1080/09296170600892538","mag":"2137049741"},"language":"en","primary_location":{"id":"doi:10.1080/09296170600892538","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296170600892538","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847"],"host_organization_lineage_names":["Routledge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","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/A5090704136","display_name":"Mario Cortina\u2010Borja","orcid":"https://orcid.org/0000-0003-0627-2624"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mario Cortina-Borja","raw_affiliation_strings":["Institute of Child Health, University College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Child Health, University College London","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071952315","display_name":"Constantinos Chappas","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Constantinos Chappas","raw_affiliation_strings":["Department of Statistical Science, University College London","Department of Statistical Science, University College, London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Department of Statistical Science, University College, London","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.9324,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81896691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"2-3","first_page":"285","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9377999901771545,"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/T12970","display_name":"Names, Identity, and Discrimination Research","score":0.9340000152587891,"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/newspaper","display_name":"Newspaper","score":0.6460891366004944},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.5682838559150696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5486257672309875},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.51169753074646},{"id":"https://openalex.org/keywords/genre-analysis","display_name":"Genre analysis","score":0.5051117539405823},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44184422492980957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42391282320022583},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.30565908551216125},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3025299310684204},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.10930290818214417},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.0896105170249939}],"concepts":[{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.6460891366004944},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.5682838559150696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5486257672309875},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.51169753074646},{"id":"https://openalex.org/C2983877603","wikidata":"https://www.wikidata.org/wiki/Q5533546","display_name":"Genre analysis","level":2,"score":0.5051117539405823},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44184422492980957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42391282320022583},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.30565908551216125},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3025299310684204},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.10930290818214417},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0896105170249939},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09296170600892538","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296170600892538","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847"],"host_organization_lineage_names":["Routledge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:42907","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/42907/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   Journal of Quantitative Linguistics , 13  (2-3)   pp. 285-312.   (2006)      ","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320290","display_name":"University of Oxford","ror":"https://ror.org/052gg0110"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1490292573","https://openalex.org/W1513618424","https://openalex.org/W1606480292","https://openalex.org/W2012761320","https://openalex.org/W2014143342","https://openalex.org/W2017361309","https://openalex.org/W2030678494","https://openalex.org/W2048405521","https://openalex.org/W2087017082","https://openalex.org/W2087189381","https://openalex.org/W2088875883","https://openalex.org/W2145748623","https://openalex.org/W2155211246","https://openalex.org/W2328425223","https://openalex.org/W2494379863","https://openalex.org/W3010782316","https://openalex.org/W3214955223","https://openalex.org/W4234115457","https://openalex.org/W4252310231"],"related_works":["https://openalex.org/W2376554757","https://openalex.org/W612150824","https://openalex.org/W2361959990","https://openalex.org/W1596512750","https://openalex.org/W2383443050","https://openalex.org/W2367702734","https://openalex.org/W2100945520","https://openalex.org/W2386525189","https://openalex.org/W2360284199","https://openalex.org/W2387769231"],"abstract_inverted_index":{"Differences":[0],"in":[1,50,122],"the":[2,8,21,45,54,57,64,74,82,86,93,123],"writing":[3,58],"style":[4,23,59],"of":[5,24,27,47,76,85,126],"authors":[6],"provide":[7],"grounds":[9],"for":[10,81],"authorship":[11],"attribution":[12],"or":[13,67],"classification":[14,114],"studies.":[15],"This":[16],"paper":[17,71],"attempts":[18],"to":[19,43,91,119],"quantify":[20],"literary":[22],"various":[25],"forms":[26],"media,":[28],"including":[29],"broadsheet":[30],"and":[31,36,116],"tabloid":[32],"newspapers,":[33],"technical":[34],"periodicals":[35],"television":[37],"news":[38],"scripts.":[39],"The":[40],"aim":[41],"is":[42,99],"investigate":[44],"richness":[46],"vocabulary":[48],"exhibited":[49],"these":[51],"texts":[52],"under":[53],"proposition":[55],"that":[56],"usually":[60],"varies":[61],"depending":[62],"on":[63],"targeted":[65],"readership":[66],"audience.":[68],"In":[69],"this":[70],"we":[72],"show":[73],"importance":[75],"using":[77,92],"maximum":[78],"likelihood":[79],"estimates":[80],"three":[83],"parameters":[84],"Sichel":[87],"distribution,":[88,97],"as":[89,111],"opposed":[90],"inverse":[94],"Gaussian":[95],"Poisson":[96],"which":[98],"a":[100],"particular":[101],"case.":[102],"We":[103],"then":[104],"use":[105],"multivariate":[106],"pattern":[107],"recognition":[108],"techniques":[109],"such":[110],"discriminant":[112],"analysis,":[113],"trees":[115],"neural":[117],"networks":[118],"establish":[120],"differences":[121],"afore-mentioned":[124],"types":[125],"media.":[127]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}