{"id":"https://openalex.org/W2971788743","doi":"https://doi.org/10.1177/0165551519871828","title":"DelibAnalysis: Understanding the quality of online political discourse with machine learning","display_name":"DelibAnalysis: Understanding the quality of online political discourse with machine learning","publication_year":2019,"publication_date":"2019-09-04","ids":{"openalex":"https://openalex.org/W2971788743","doi":"https://doi.org/10.1177/0165551519871828","mag":"2971788743"},"language":"en","primary_location":{"id":"doi:10.1177/0165551519871828","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551519871828","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","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/A5055135575","display_name":"\u00c9l\u00e9onore Fournier-Tombs","orcid":"https://orcid.org/0000-0002-7065-8006"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA","CH"],"is_corresponding":true,"raw_author_name":"Eleonore Fournier-Tombs","raw_affiliation_strings":["Institute of Information Service Science, University of Geneva, Switzerland","School of Information Studies, McGill University, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7065-8006","affiliations":[{"raw_affiliation_string":"Institute of Information Service Science, University of Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"School of Information Studies, McGill University, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065525772","display_name":"Giovanna Di Marzo Serugendo","orcid":"https://orcid.org/0000-0001-5048-5251"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Giovanna Di Marzo Serugendo","raw_affiliation_strings":["Institute of Information Service Science, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Service Science, University of Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055135575"],"corresponding_institution_ids":["https://openalex.org/I114457229","https://openalex.org/I5023651"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":3.4027,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92507603,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"46","issue":"6","first_page":"810","last_page":"822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9969000220298767,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.7090921401977539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7071636319160461},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.6042743921279907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5226454734802246},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5161860585212708},{"id":"https://openalex.org/keywords/discourse-analysis","display_name":"Discourse analysis","score":0.4918365478515625},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3429833948612213},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3238478899002075},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.1845162808895111},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1729240119457245},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07031798362731934}],"concepts":[{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.7090921401977539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7071636319160461},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.6042743921279907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5226454734802246},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5161860585212708},{"id":"https://openalex.org/C84389358","wikidata":"https://www.wikidata.org/wiki/Q1129466","display_name":"Discourse analysis","level":2,"score":0.4918365478515625},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3429833948612213},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3238478899002075},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.1845162808895111},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1729240119457245},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07031798362731934},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551519871828","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551519871828","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1497427780","https://openalex.org/W1519045800","https://openalex.org/W1528784858","https://openalex.org/W1575915095","https://openalex.org/W1957266927","https://openalex.org/W1967502589","https://openalex.org/W1971621936","https://openalex.org/W1978710835","https://openalex.org/W1995881620","https://openalex.org/W2011024564","https://openalex.org/W2034158236","https://openalex.org/W2082373477","https://openalex.org/W2092284551","https://openalex.org/W2100602508","https://openalex.org/W2116001585","https://openalex.org/W2123778708","https://openalex.org/W2150479619","https://openalex.org/W2165238024","https://openalex.org/W2173363650","https://openalex.org/W2318645441","https://openalex.org/W3082015472","https://openalex.org/W3123724861","https://openalex.org/W4247551517","https://openalex.org/W4253996635","https://openalex.org/W4301493564"],"related_works":["https://openalex.org/W2982642565","https://openalex.org/W2113421559","https://openalex.org/W3196098778","https://openalex.org/W3164111940","https://openalex.org/W100187532","https://openalex.org/W3211250490","https://openalex.org/W2353268662","https://openalex.org/W2384667405","https://openalex.org/W2381840742","https://openalex.org/W2373216116"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"an":[3,46],"automated":[4,109],"methodology":[5,49],"for":[6,50,107],"the":[7,15,33,51,70,83,108,125],"analysis":[8,112],"of":[9,36,53,69,86,98,113,129],"online":[10],"political":[11,37,93,130],"discourse.":[12],"Drawing":[13],"from":[14],"discourse":[16,34,54,84,110],"quality":[17,35,55,85,111],"index":[18],"(DQI)":[19],"by":[20],"Steenbergen":[21],"et":[22],"al.,":[23],"it":[24],"applies":[25],"a":[26,66,74,91,104],"machine":[27],"learning\u2013based":[28],"quantitative":[29],"approach":[30],"to":[31,44,72,81,102,121],"measuring":[32],"discussions":[38,131],"online.":[39,95,132],"The":[40,63,96],"DelibAnalysis":[41],"framework":[42,64,106],"aims":[43],"provide":[45,103],"accessible,":[47],"replicable":[48],"measurement":[52],"that":[56],"is":[57,101],"both":[58],"platform":[59],"and":[60,127],"language":[61],"agnostic.":[62],"uses":[65],"simplified":[67],"version":[68],"DQI":[71],"train":[73],"classifier,":[75],"which":[76],"can":[77],"then":[78],"be":[79],"used":[80],"predict":[82],"any":[87],"non-coded":[88],"comment":[89],"in":[90,117],"given":[92],"discussion":[94],"objective":[97],"this":[99,119],"research":[100],"systematic":[105],"large":[114],"datasets":[115],"and,":[116],"applying":[118],"framework,":[120],"yield":[122],"insight":[123],"into":[124],"structure":[126],"features":[128]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}