{"id":"https://openalex.org/W2890953671","doi":"https://doi.org/10.18653/v1/d18-1388","title":"Multi-view Models for Political Ideology Detection of News Articles","display_name":"Multi-view Models for Political Ideology Detection of News Articles","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2890953671","doi":"https://doi.org/10.18653/v1/d18-1388","mag":"2890953671"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1388","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1388","pdf_url":"https://www.aclweb.org/anthology/D18-1388.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-1388.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013097792","display_name":"Vivek Kulkarni","orcid":"https://orcid.org/0000-0003-2926-3747"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivek Kulkarni","raw_affiliation_strings":["Department of Computer Science University of California, Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000245012","display_name":"Junting Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junting Ye","raw_affiliation_strings":["Department of Computer Science Stony Brook University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Stony Brook University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007593199","display_name":"Steve Skiena","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steve Skiena","raw_affiliation_strings":["Department of Computer Science Stony Brook University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Stony Brook University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702485","display_name":"William Yang Wang","orcid":"https://orcid.org/0000-0001-6153-8240"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Yang Wang","raw_affiliation_strings":["Department of Computer Science University of California, Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3518","last_page":"3527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T10028","display_name":"Topic Modeling","score":0.9926999807357788,"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/T13718","display_name":"Media Influence and Politics","score":0.9919999837875366,"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/leverage","display_name":"Leverage (statistics)","score":0.8494118452072144},{"id":"https://openalex.org/keywords/ideology","display_name":"Ideology","score":0.8357852697372437},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.728202760219574},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.6578574776649475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6325659155845642},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6137917041778564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4750751852989197},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41806918382644653},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36902880668640137},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3689197897911072},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.22442591190338135},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.10977703332901001}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8494118452072144},{"id":"https://openalex.org/C158071213","wikidata":"https://www.wikidata.org/wiki/Q7257","display_name":"Ideology","level":3,"score":0.8357852697372437},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.728202760219574},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.6578574776649475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6325659155845642},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6137917041778564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4750751852989197},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41806918382644653},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36902880668640137},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3689197897911072},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.22442591190338135},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.10977703332901001}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-1388","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1388","pdf_url":"https://www.aclweb.org/anthology/D18-1388.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1388","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1388","pdf_url":"https://www.aclweb.org/anthology/D18-1388.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G2231274329","display_name":"BIGDATA: F: DeepWalking Graphs for Feature Extraction","funder_award_id":"1546113","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5414753232","display_name":"ABI Innovation: Sequence Optimization for Synthetic Biology","funder_award_id":"1355990","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G697245444","display_name":null,"funder_award_id":"DBI-1355990","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2890953671.pdf","grobid_xml":"https://content.openalex.org/works/W2890953671.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W560287614","https://openalex.org/W1508666480","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W1967807490","https://openalex.org/W1985192283","https://openalex.org/W2009659525","https://openalex.org/W2060704337","https://openalex.org/W2102498033","https://openalex.org/W2133564696","https://openalex.org/W2145767445","https://openalex.org/W2158899491","https://openalex.org/W2173681125","https://openalex.org/W2251617662","https://openalex.org/W2251738400","https://openalex.org/W2366141641","https://openalex.org/W2470673105","https://openalex.org/W2570331865","https://openalex.org/W2740751204","https://openalex.org/W2891649320","https://openalex.org/W2950577311","https://openalex.org/W2950879740","https://openalex.org/W2952230511","https://openalex.org/W2962756421","https://openalex.org/W2963773425","https://openalex.org/W2964308564","https://openalex.org/W3124797382","https://openalex.org/W4235286696","https://openalex.org/W4297571622"],"related_works":["https://openalex.org/W2358556841","https://openalex.org/W2393918707","https://openalex.org/W2347506984","https://openalex.org/W2356608624","https://openalex.org/W2389874476","https://openalex.org/W2357886583","https://openalex.org/W2381639109","https://openalex.org/W2948332946","https://openalex.org/W568300272","https://openalex.org/W4379251913"],"abstract_inverted_index":{"A":[0],"news":[1,58,87],"article's":[2],"title,":[3],"content":[4,81],"and":[5,72,82,99],"link":[6],"structure":[7,85],"often":[8],"reveal":[9],"its":[10],"political":[11,19],"ideology.":[12],"However,":[13],"most":[14],"existing":[15],"works":[16],"on":[17,63],"automatic":[18],"ideology":[20,54],"detection":[21],"only":[22],"leverage":[23,43],"textual":[24,80],"cues.":[25],"Drawing":[26],"inspiration":[27],"from":[28,45,78],"recent":[29],"advances":[30,64],"in":[31,65,68],"neural":[32],"inference,":[33],"we":[34],"propose":[35],"a":[36,57,95],"novel":[37],"attention":[38],"based":[39],"multi-view":[40],"model":[41,61,93,103],"to":[42,51,75],"cues":[44,77],"all":[46],"of":[47,86,97,106],"the":[48,53,83,107],"above":[49],"views":[50],"identify":[52],"evinced":[55],"by":[56,109],"article.":[59],"Our":[60],"draws":[62],"representation":[66],"learning":[67],"natural":[69],"language":[70],"processing":[71],"network":[73,84],"science":[74],"capture":[76],"both":[79],"articles.":[88],"We":[89],"empirically":[90],"evaluate":[91],"our":[92,102],"against":[94],"battery":[96],"baselines":[98],"show":[100],"that":[101],"outperforms":[104],"state":[105],"art":[108],"10":[110],"percentage":[111],"points":[112],"F1":[113],"score.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":14}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}