{"id":"https://openalex.org/W2802201822","doi":"https://doi.org/10.1145/3200947.3201017","title":"Detection of Stance-Related Characteristics in Social Media Text","display_name":"Detection of Stance-Related Characteristics in Social Media Text","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2802201822","doi":"https://doi.org/10.1145/3200947.3201017","mag":"2802201822"},"language":"en","primary_location":{"id":"doi:10.1145/3200947.3201017","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3200947.3201017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.lancs.ac.uk/id/eprint/124841/4/sample_sigconf.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064551041","display_name":"Vasiliki Simaki","orcid":"https://orcid.org/0000-0002-8998-3618"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB","SE"],"is_corresponding":true,"raw_author_name":"Vasiliki Simaki","raw_affiliation_strings":["Centre for Corpus Appproaches to Social Science, Lancaster University, United Kingdom, Centre for Languages and Literature, Lund University, Sweden"],"affiliations":[{"raw_affiliation_string":"Centre for Corpus Appproaches to Social Science, Lancaster University, United Kingdom, Centre for Languages and Literature, Lund University, Sweden","institution_ids":["https://openalex.org/I187531555","https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091069598","display_name":"Panagiotis Simakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panagiotis Simakis","raw_affiliation_strings":["XPLAIN, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"XPLAIN, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014858200","display_name":"Carita Paradis","orcid":"https://orcid.org/0000-0002-7240-9003"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Carita Paradis","raw_affiliation_strings":["Centre for Languages and Literature, Lund University, Lund, Sweden"],"affiliations":[{"raw_affiliation_string":"Centre for Languages and Literature, Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006966951","display_name":"Andreas Kerren","orcid":"https://orcid.org/0000-0002-0519-2537"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Kerren","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linnaeus University, V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linnaeus University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064551041"],"corresponding_institution_ids":["https://openalex.org/I187531555","https://openalex.org/I67415387"],"apc_list":null,"apc_paid":null,"fwci":0.3384,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67589511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987999796867371,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9976000189781189,"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/social-media","display_name":"Social media","score":0.7279582619667053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858043670654297},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.656325101852417},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6245927810668945},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6222130060195923},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.60585618019104},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5657345652580261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5004680156707764},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48966270685195923},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4735647439956665},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.462380588054657},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35319963097572327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3417876064777374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1315603256225586},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11000895500183105}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7279582619667053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858043670654297},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.656325101852417},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6245927810668945},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6222130060195923},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.60585618019104},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5657345652580261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5004680156707764},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48966270685195923},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4735647439956665},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.462380588054657},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35319963097572327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3417876064777374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1315603256225586},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11000895500183105},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3200947.3201017","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3200947.3201017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:124841","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/124841/4/sample_sigconf.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:lup.lub.lu.se:e8c1cdaa-6c8c-4865-b0b0-b165ab862a96","is_oa":true,"landing_page_url":"https://lup.lub.lu.se/record/e8c1cdaa-6c8c-4865-b0b0-b165ab862a96","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:eprints.lancs.ac.uk:124841","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/124841/4/sample_sigconf.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1937528312","display_name":null,"funder_award_id":"ES/S001778/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"},{"id":"https://openalex.org/G2051905346","display_name":null,"funder_award_id":"ES/R008906/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"},{"id":"https://openalex.org/G4962865153","display_name":null,"funder_award_id":"ES/K002155/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"}],"funders":[{"id":"https://openalex.org/F4320334630","display_name":"Economic and Social Research Council","ror":"https://ror.org/03n0ht308"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2802201822.pdf","grobid_xml":"https://content.openalex.org/works/W2802201822.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W433345978","https://openalex.org/W1485573218","https://openalex.org/W1545302199","https://openalex.org/W1779600982","https://openalex.org/W1822239915","https://openalex.org/W1854537555","https://openalex.org/W1887364683","https://openalex.org/W1975927031","https://openalex.org/W1980703745","https://openalex.org/W2052468458","https://openalex.org/W2053174117","https://openalex.org/W2053782002","https://openalex.org/W2083958278","https://openalex.org/W2085582472","https://openalex.org/W2097726431","https://openalex.org/W2098420572","https://openalex.org/W2107497673","https://openalex.org/W2108636584","https://openalex.org/W2118677368","https://openalex.org/W2127218421","https://openalex.org/W2133341045","https://openalex.org/W2134642597","https://openalex.org/W2142213820","https://openalex.org/W2143398792","https://openalex.org/W2145327091","https://openalex.org/W2147901755","https://openalex.org/W2150248423","https://openalex.org/W2151117253","https://openalex.org/W2299467264","https://openalex.org/W2347127863","https://openalex.org/W2403225501","https://openalex.org/W2460159515","https://openalex.org/W2471548394","https://openalex.org/W2484253835","https://openalex.org/W2505005027","https://openalex.org/W2572163506","https://openalex.org/W2624933607","https://openalex.org/W2739836857","https://openalex.org/W2751544087","https://openalex.org/W2753894810","https://openalex.org/W2756539027","https://openalex.org/W2759181158","https://openalex.org/W2763367528","https://openalex.org/W2774484786","https://openalex.org/W2796992050","https://openalex.org/W2909151715","https://openalex.org/W2963811339","https://openalex.org/W3140514123","https://openalex.org/W4205184193","https://openalex.org/W4210323358"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,32,71],"present":[4],"a":[5,37,81,90,105,119],"study":[6],"for":[7,57,93,121],"the":[8,97],"identification":[9],"of":[10,66,80,101,125],"stance-related":[11,34],"features":[12,51],"in":[13,36,74,96],"text":[14],"data":[15,38,76],"from":[16,40],"social":[17],"media.":[18],"Based":[19],"on":[20,24,29],"our":[21,27,75,102],"previous":[22],"work":[23],"stance":[25,30,59,112,123],"and":[26,42,49,68,70,87,111],"findings":[28],"patterns,":[31],"detected":[33],"characteristics":[35,110],"set":[39],"Twitter":[41],"Facebook.":[43],"We":[44],"extracted":[45],"various":[46],"corpus-,":[47],"quantitative-":[48],"computational-based":[50],"that":[52],"proved":[53],"to":[54,118],"be":[55],"significant":[56],"six":[58],"categories":[60],"(contrariety,":[61],"hypotheticality,":[62],"necessity,":[63],"prediction,":[64],"source":[65],"knowledge,":[67],"uncertainty),":[69],"tested":[72],"them":[73],"set.":[77],"The":[78,99],"results":[79,100],"preliminary":[82],"clustering":[83],"method":[84],"are":[85],"presented":[86],"discussed":[88],"as":[89],"starting":[91],"point":[92],"future":[94],"contributions":[95],"field.":[98],"experiments":[103],"showed":[104],"strong":[106],"correlation":[107],"between":[108],"different":[109],"constructions,":[113],"which":[114],"can":[115],"lead":[116],"us":[117],"methodology":[120],"automatic":[122],"annotation":[124],"these":[126],"data.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
