{"id":"https://openalex.org/W4327880149","doi":"https://doi.org/10.48550/arxiv.2205.00619","title":"POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection","display_name":"POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4327880149","doi":"https://doi.org/10.48550/arxiv.2205.00619"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.00619","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2205.00619","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101534884","display_name":"Yujian Liu","orcid":"https://orcid.org/0000-0002-9512-1272"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yujian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068590598","display_name":"Xinliang Frederick Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xinliang Frederick","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021246776","display_name":"David Wegsman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wegsman, David","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108307922","display_name":"Nick Beauchamp","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beauchamp, Nick","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083964854","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0002-7305-1496"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Lu","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":71},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9573,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9573,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/topic-modeling","display_name":"Topic Modeling","score":0.55382},{"id":"https://openalex.org/keywords/content-analysis","display_name":"Content Analysis","score":0.524822},{"id":"https://openalex.org/keywords/computational-text-analysis","display_name":"Computational Text Analysis","score":0.505585},{"id":"https://openalex.org/keywords/social-science-research","display_name":"Social Science Research","score":0.501326}],"concepts":[{"id":"https://openalex.org/C158071213","wikidata":"https://www.wikidata.org/wiki/Q7257","display_name":"Ideology","level":3,"score":0.9538532},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.7342392},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.44117004},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.43952182},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41823927},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.36489534},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.35926867},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.34034452},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.3393945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32285053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30392367},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.15482545},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.11487374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08200914},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.00619","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.00619","pdf_url":"http://arxiv.org/pdf/2205.00619","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2205.00619","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.00619","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.43,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W568300272","https://openalex.org/W3183685164","https://openalex.org/W2948332946","https://openalex.org/W2393918707","https://openalex.org/W2389874476","https://openalex.org/W2381639109","https://openalex.org/W2358556841","https://openalex.org/W2357886583","https://openalex.org/W2356608624","https://openalex.org/W2347506984"],"abstract_inverted_index":{"Ideology":[0],"is":[1,96,107],"at":[2,99],"the":[3,43,48,80],"core":[4],"of":[5,25,45,54,64],"political":[6,68],"science":[7],"research.":[8],"Yet,":[9],"there":[10],"still":[11],"does":[12],"not":[13],"exist":[14],"general-purpose":[15],"tools":[16],"to":[17],"characterize":[18],"and":[19,79,87,106],"predict":[20],"ideology":[21,85],"across":[22],"different":[23,55],"genres":[24],"text.":[26],"To":[27],"this":[28],"end,":[29],"we":[30],"study":[31],"Pretrained":[32],"Language":[33],"Models":[34],"using":[35],"novel":[36],"ideology-driven":[37],"pretraining":[38],"objectives":[39],"that":[40,94],"rely":[41],"on":[42,47,84],"comparison":[44],"articles":[46],"same":[49],"story":[50],"written":[51,104],"by":[52],"media":[53],"ideologies.":[56],"We":[57],"further":[58],"collect":[59],"a":[60],"large-scale":[61],"dataset,":[62],"consisting":[63],"more":[65],"than":[66],"3.6M":[67],"news":[69],"articles,":[70],"for":[71],"pretraining.":[72],"Our":[73],"model":[74],"POLITICS":[75,95],"outperforms":[76],"strong":[77],"baselines":[78],"previous":[81],"state-of-the-art":[82],"models":[83],"prediction":[86],"stance":[88],"detection":[89],"tasks.":[90],"Further":[91],"analyses":[92],"show":[93],"especially":[97],"good":[98],"understanding":[100],"long":[101],"or":[102],"formally":[103],"texts,":[105],"also":[108],"robust":[109],"in":[110],"few-shot":[111],"learning":[112],"scenarios.":[113]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4327880149","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2024-12-05T07:45:30.991331","created_date":"2023-03-20"}