{"id":"https://openalex.org/W2573400738","doi":"https://doi.org/10.3233/978-1-61499-686-6-21","title":"Tweeties Squabbling: Positive and Negative Results in Applying Argument Mining on Social Media","display_name":"Tweeties Squabbling: Positive and Negative Results in Applying Argument Mining on Social Media","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2573400738","doi":"https://doi.org/10.3233/978-1-61499-686-6-21","mag":"2573400738"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-686-6-21","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-686-6-21","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5064969023","display_name":"Tom Bosc","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bosc Tom","raw_affiliation_strings":["WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049137879","display_name":"Elena Cabrio","orcid":"https://orcid.org/0000-0001-9374-7872"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cabrio Elena","raw_affiliation_strings":["WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Villata Serena","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Villata Serena","raw_affiliation_strings":["CNRS - Centre National de la Recherche Scientifique (France)","WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.8687,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.99465299,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9944999814033508,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9944999814033508,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9944000244140625,"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/T10028","display_name":"Topic Modeling","score":0.9725000262260437,"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/argument","display_name":"Argument (complex analysis)","score":0.7046008110046387},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5603747963905334},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3735865652561188},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.33377566933631897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3254629969596863},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3237566649913788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3114941716194153},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.17700493335723877},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11311739683151245}],"concepts":[{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7046008110046387},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5603747963905334},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3735865652561188},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.33377566933631897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3254629969596863},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3237566649913788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3114941716194153},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.17700493335723877},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11311739683151245},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-686-6-21","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-686-6-21","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2962838298"],"abstract_inverted_index":{"The":[0,25,113],"problem":[1],"of":[2,6,28,40,68,94,121,143],"understanding":[3],"the":[4,37,66,92,119,130],"stream":[5,142],"messages":[7],"exchanged":[8,30],"on":[9,31,137],"social":[10,44],"media":[11,45],"such":[12,106],"as":[13,34,36,85,127],"Facebook":[14],"and":[15,87,101,129],"Twitter":[16,75],"is":[17,116],"becoming":[18],"a":[19,48,69,138,141],"major":[20],"challenge":[21],"for":[22,52],"automated":[23],"systems.":[24],"tremendous":[26],"amount":[27],"data":[29],"these":[32],"platforms":[33],"well":[35],"specific":[38],"form":[39],"language":[41],"adopted":[42],"by":[43,99],"users":[46],"constitute":[47],"new":[49],"challenging":[50],"context":[51],"existing":[53],"argument":[54,71],"mining":[55,72],"techniques.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,78,96,103],"describe":[61],"an":[62],"ongoing":[63],"work":[64],"towards":[65],"creation":[67],"complete":[70],"pipeline":[73],"over":[74,91],"messages:":[76],"(i)":[77],"identify":[79],"which":[80,88,123],"tweets":[81,107,122],"can":[82],"be":[83],"considered":[84],"arguments":[86],"cannot,":[89],"(ii)":[90],"set":[93,120],"tweet-arguments,":[95],"group":[97],"them":[98],"topic,":[100,139],"(iii)":[102],"predict":[104],"whether":[105],"support":[108],"or":[109],"attack":[110],"each":[111],"other.":[112],"final":[114],"goal":[115],"to":[117],"compute":[118],"are":[124],"widely":[125],"recognized":[126],"accepted,":[128],"different":[131],"(possibly":[132],"conflicting)":[133],"viewpoints":[134],"that":[135],"emerge":[136],"given":[140],"messages.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":5}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2017-01-26T00:00:00"}