{"id":"https://openalex.org/W3048529698","doi":"https://doi.org/10.1186/s40537-020-00338-1","title":"Large scale analysis of violent death count in daily newspapers to quantify bias and censorship","display_name":"Large scale analysis of violent death count in daily newspapers to quantify bias and censorship","publication_year":2020,"publication_date":"2020-08-11","ids":{"openalex":"https://openalex.org/W3048529698","doi":"https://doi.org/10.1186/s40537-020-00338-1","mag":"3048529698"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00338-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00338-1","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00338-1","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00338-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079254355","display_name":"M. Casolino","orcid":"https://orcid.org/0000-0001-6067-5104"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]},{"id":"https://openalex.org/I4210129730","display_name":"RIKEN Center for Computational Science","ror":"https://ror.org/03r519674","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210129730"]},{"id":"https://openalex.org/I4210157426","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Roma I","ror":"https://ror.org/05eva6s33","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210157426"]}],"countries":["IT","JP"],"is_corresponding":true,"raw_author_name":"Marco Casolino","raw_affiliation_strings":["Dipartimento di Fisica, Universit\u00e0 di Roma Tor Vergata, Via della Ricerca Scientifica 1, Rome, Italy","INFN Structure of Roma Tor Vergata, Via della Ricerca Scientifica 1, Rome, Italy","Riken, Computational Astrophysics lab, Hirosawa, Wako, Japan"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Fisica, Universit\u00e0 di Roma Tor Vergata, Via della Ricerca Scientifica 1, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"INFN Structure of Roma Tor Vergata, Via della Ricerca Scientifica 1, Rome, Italy","institution_ids":["https://openalex.org/I4210157426"]},{"raw_affiliation_string":"Riken, Computational Astrophysics lab, Hirosawa, Wako, Japan","institution_ids":["https://openalex.org/I4210129730"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079254355"],"corresponding_institution_ids":["https://openalex.org/I116067653","https://openalex.org/I4210129730","https://openalex.org/I4210157426"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12817143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9925000071525574,"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/T13718","display_name":"Media Influence and Politics","score":0.9803000092506409,"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":0.9476354122161865},{"id":"https://openalex.org/keywords/censorship","display_name":"Censorship","score":0.9187555313110352},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4669094681739807},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.4235304594039917},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.4208831489086151},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.3331868052482605},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.27265465259552},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.27224069833755493},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.26507824659347534},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1873769462108612}],"concepts":[{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.9476354122161865},{"id":"https://openalex.org/C52930066","wikidata":"https://www.wikidata.org/wiki/Q543","display_name":"Censorship","level":2,"score":0.9187555313110352},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4669094681739807},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.4235304594039917},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.4208831489086151},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3331868052482605},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.27265465259552},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.27224069833755493},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.26507824659347534},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1873769462108612}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-020-00338-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00338-1","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00338-1","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:985a3e1790744b63bed4dd7843948c72","is_oa":true,"landing_page_url":"https://doaj.org/article/985a3e1790744b63bed4dd7843948c72","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-28 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00338-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00338-1","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00338-1","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3048529698.pdf","grobid_xml":"https://content.openalex.org/works/W3048529698.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W47387104","https://openalex.org/W564764577","https://openalex.org/W646273308","https://openalex.org/W648840978","https://openalex.org/W1501002433","https://openalex.org/W1511090753","https://openalex.org/W1551290992","https://openalex.org/W1578808956","https://openalex.org/W1967277615","https://openalex.org/W1967751806","https://openalex.org/W1968405752","https://openalex.org/W1972309850","https://openalex.org/W1973683205","https://openalex.org/W1986983672","https://openalex.org/W1990592429","https://openalex.org/W1991512239","https://openalex.org/W2000042664","https://openalex.org/W2007683235","https://openalex.org/W2010478558","https://openalex.org/W2010528734","https://openalex.org/W2016244991","https://openalex.org/W2019096529","https://openalex.org/W2020837601","https://openalex.org/W2025252974","https://openalex.org/W2026136219","https://openalex.org/W2062528243","https://openalex.org/W2076531718","https://openalex.org/W2091896064","https://openalex.org/W2098710805","https://openalex.org/W2111496070","https://openalex.org/W2115890410","https://openalex.org/W2134567622","https://openalex.org/W2158954325","https://openalex.org/W2164863177","https://openalex.org/W2183162925","https://openalex.org/W2190026262","https://openalex.org/W2288397357","https://openalex.org/W2318161674","https://openalex.org/W2327767063","https://openalex.org/W2343225529","https://openalex.org/W2533392494","https://openalex.org/W2784322270","https://openalex.org/W2950627632","https://openalex.org/W3047835581","https://openalex.org/W3103362336","https://openalex.org/W4285719527"],"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/W2620505790"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,185],"work":[3,186],"we":[4,102,131,187],"develop":[5],"a":[6,165,242,289,351],"series":[7],"of":[8,18,31,61,106,122,134,192,207,210,215,218,228,231,236,264,285,288,295,327,347,366],"techniques":[9],"and":[10,14,20,34,44,50,72,99,144,157,195,305,321,329,338],"tools":[11],"to":[12,118,268,322,342],"determine":[13],"quantify":[15],"the":[16,29,54,62,73,92,97,104,128,146,161,177,208,211,216,225,229,234,274,277,283,286,293,325,345,348,364],"presence":[17,105],"bias":[19,108,328,367],"censorship":[21,135,180,330],"in":[22,42,109,136,151,158,181,184,239,259,318,332,350,359],"newspapers.":[23],"These":[24],"algorithms":[25],"are":[26,297],"tested":[27],"analyzing":[28],"occurrence":[30],"keywords":[32],"\u2018killed\u2019":[33],"\u2018suicide\u2019":[35],"(\u2018":[36],"morti\u2019":[37],"\u2019,":[38],"\u2018":[39],"suicidio":[40],"\u2019":[41],"Italian)":[43],"their":[45],"changes":[46],"over":[47],"time,":[48],"gender":[49,107],"reported":[51,114,219,238],"location":[52],"on":[53,176,179,255],"complete":[55],"online":[56,336],"archives":[57],"(42":[58],"million":[59],"records)":[60],"major":[63,75],"US":[64],"newspaper":[65,182,278],"(":[66,78],"The":[67,262],"New":[68],"York":[69],"Times":[70],")":[71],"three":[74],"Italian":[76,93,111,137,147],"ones":[77],"Il":[79],"Corriere":[80],"della":[81],"Sera,":[82],"La":[83,85],"Repubblica,":[84],"Stampa":[86],").":[87],"Using":[88],"these":[89,313],"tools,":[90],"since":[91],"language":[94],"distinguishes":[95],"between":[96],"female":[98,116],"male":[100],"cases,":[101],"find":[103,223],"all":[110,152],"newspapers,":[112],"with":[113,270],"single":[115,125,290],"deaths":[117,194,237,257],"be":[119,316,357],"about":[120,190],"one-third":[121],"those":[123],"involving":[124],"men.":[126],"Analyzing":[127],"historical":[129,319],"trends,":[130],"show":[132],"evidence":[133],"newspapers":[138],"both":[139],"during":[140,145,154,160],"World":[141,155],"War":[142],"1":[143],"Fascist":[148,162],"regime.":[149],"Censorship":[150],"countries":[153],"Wars":[156],"Italy":[159],"period":[163],"is":[164,201,246,266,279],"historically":[166],"ascertained":[167],"fact,":[168],"but":[169],"so":[170],"far":[171],"there":[172],"was":[173],"no":[174],"estimate":[175,188],"amount":[178,326],"reporting:":[183],"that":[189,224],"75%":[191],"domestic":[193],"suicides":[196],"were":[197],"not":[198],"reported.":[199],"This":[200],"also":[202,222],"confirmed":[203],"by":[204],"statistical":[205],"analysis":[206,320],"distribution":[209,226],"least":[212],"significant":[213],"digit":[214],"number":[217,230,235],"deaths.":[220],"We":[221],"function":[227],"articles":[232,240,250,265],"vs.":[233],"follows":[241],"power":[243],"law,":[244],"which":[245],"broken":[247],"(with":[248],"fewer":[249],"being":[251,280],"written)":[252],"when":[253],"reporting":[254],"few":[256],"occurring":[258],"foreign":[260],"countries.":[261],"lack":[263],"found":[267],"grow":[269],"geographical":[271],"distance":[272],"from":[273],"nation":[275],"where":[276],"printed.":[281],"Whereas":[282],"assessment":[284],"truth":[287],"article":[291],"or":[292,335,372],"debunking":[294],"what":[296],"now":[298],"called":[299],"\u2018fake":[300],"news\u2019":[301],"requires":[302],"specific":[303,369,373],"fact-checking":[304],"becomes":[306],"more":[307],"difficult":[308],"as":[309,363],"time":[310],"goes":[311],"by,":[312],"methods":[314],"can":[315,339,356],"used":[317],"evaluate":[323],"quantitatively":[324,343],"present":[331],"other":[333],"printed":[334],"publication":[337],"thus":[340],"contribute":[341],"assess":[344],"freedom":[346],"press":[349],"given":[352],"country.":[353],"Furthermore,":[354],"they":[355],"applied":[358],"wider":[360],"contexts":[361],"such":[362],"evaluation":[365],"toward":[368],"ethnic":[370],"groups":[371],"accidents.":[374]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}