{"id":"https://openalex.org/W4312371001","doi":"https://doi.org/10.21248/jlcl.35.2022.227","title":"Frame Detection in German Political Discourses: How Far Can We Go Without Large-Scale Manual Corpus Annotation?","display_name":"Frame Detection in German Political Discourses: How Far Can We Go Without Large-Scale Manual Corpus Annotation?","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4312371001","doi":"https://doi.org/10.21248/jlcl.35.2022.227"},"language":"en","primary_location":{"id":"doi:10.21248/jlcl.35.2022.227","doi":"https://doi.org/10.21248/jlcl.35.2022.227","is_oa":true,"landing_page_url":"https://doi.org/10.21248/jlcl.35.2022.227","pdf_url":"https://jlcl.org/article/download/227/225","source":{"id":"https://openalex.org/S4393913653","display_name":"LDV-Forum/Journal for language technology and computational linguistics","issn_l":"0175-1336","issn":["0175-1336","2190-6858"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific","jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal for Language Technology and Computational Linguistics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://jlcl.org/article/download/227/225","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100337760","display_name":"Qi Yu","orcid":"https://orcid.org/0009-0005-1592-6329","observed_orcids":["https://orcid.org/0009-0005-1592-6329","https://orcid.org/0000-0001-6116-5181"]},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Qi Yu","raw_affiliation_strings":["Department of Linguistics & Cluster of Excellence \"The Politics of Inequality \" University of Konstanz , Germany"],"raw_orcid":"https://orcid.org/0000-0001-6116-5181","affiliations":[{"raw_affiliation_string":"Department of Linguistics & Cluster of Excellence \"The Politics of Inequality \" University of Konstanz , Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011202176","display_name":"Anselm Fliethmann","orcid":"https://orcid.org/0000-0001-7918-8816","observed_orcids":["https://orcid.org/0000-0001-7918-8816"]},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Anselm Fliethmann","raw_affiliation_strings":["Department of Politics and Public Administration & Cluster of Excellence \"The Politics of Inequality\" University of Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7918-8816","affiliations":[{"raw_affiliation_string":"Department of Politics and Public Administration & Cluster of Excellence \"The Politics of Inequality\" University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011202176"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":1.0608,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82333232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"35","issue":"2","first_page":"15","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9286999702453613,"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":0.9286999702453613,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.03629999980330467,"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":0.02199999988079071,"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/frame-detection","display_name":"frame detection","score":0.9800000190734863},{"id":"https://openalex.org/keywords/political-discourse","display_name":"political discourse","score":0.9490000009536743},{"id":"https://openalex.org/keywords/german-language","display_name":"German language","score":0.6859999895095825},{"id":"https://openalex.org/keywords/low-resource-languages","display_name":"low-resource languages","score":0.7049999833106995},{"id":"https://openalex.org/keywords/topic-modeling","display_name":"topic modeling","score":0.843999981880188},{"id":"https://openalex.org/keywords/lda","display_name":"LDA","score":0.8740000128746033},{"id":"https://openalex.org/keywords/word2vec-embeddings","display_name":"Word2Vec embeddings","score":0.9679999947547913},{"id":"https://openalex.org/keywords/2015-refugee-crisis","display_name":"2015 refugee crisis","score":0.7889999747276306},{"id":"https://openalex.org/keywords/news-articles","display_name":"news articles","score":0.8799999952316284},{"id":"https://openalex.org/keywords/annotation-scarcity","display_name":"annotated data scarcity","score":0.36000001430511475},{"id":"https://openalex.org/keywords/political-text-analysis","display_name":"political text analysis","score":0.5410000085830688}],"concepts":[{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.7809562683105469},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7697001695632935},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.6504201889038086},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5882492065429688},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5744574666023254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45238637924194336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3939511775970459},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3436972498893738},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.33842742443084717},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.33727389574050903},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1827152967453003},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14228707551956177},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0767558217048645},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07589256763458252},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06676039099693298}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21248/jlcl.35.2022.227","doi":"https://doi.org/10.21248/jlcl.35.2022.227","is_oa":true,"landing_page_url":"https://doi.org/10.21248/jlcl.35.2022.227","pdf_url":"https://jlcl.org/article/download/227/225","source":{"id":"https://openalex.org/S4393913653","display_name":"LDV-Forum/Journal for language technology and computational linguistics","issn_l":"0175-1336","issn":["0175-1336","2190-6858"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific","jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal for Language Technology and Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/56106","doi":null,"is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-5l5qm0yebj696","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/14434e02-7280-4a65-b5b5-4ce2ae66c7bc/content","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"REHBEIN, Ines, Hrsg., Gabriella LAPESA, Hrsg., Goran GLAVAS, Hrsg. und andere. Proceedings of 1st Workshop on Computational Linguistics for Political Text Analysis (CPSS-2021). Duisburg-Essen: GSCL, 2021, S. 13-24","raw_type":"doc-type:conferenceObject"},{"id":"pmh:oai:publikationen.ub.uni-frankfurt.de:83118","doi":null,"is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:hebis:30:3-831186","pdf_url":null,"source":{"id":"https://openalex.org/S4306400432","display_name":"Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114090438","host_organization_name":"Goethe University Frankfurt","host_organization_lineage":["https://openalex.org/I114090438"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.21248/jlcl.35.2022.227","doi":"https://doi.org/10.21248/jlcl.35.2022.227","is_oa":true,"landing_page_url":"https://doi.org/10.21248/jlcl.35.2022.227","pdf_url":"https://jlcl.org/article/download/227/225","source":{"id":"https://openalex.org/S4393913653","display_name":"LDV-Forum/Journal for language technology and computational linguistics","issn_l":"0175-1336","issn":["0175-1336","2190-6858"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific","jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal for Language Technology and Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2367825995","display_name":"EXC 2035: Die politische Dimension von Ungleichheit: Wahrnehmungen, Partizipation und Policies","funder_award_id":"390681379","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G822344055","display_name":null,"funder_award_id":"EXC 2035/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312371001.pdf","grobid_xml":"https://content.openalex.org/works/W4312371001.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W168564468","https://openalex.org/W179935507","https://openalex.org/W1577845282","https://openalex.org/W1593045043","https://openalex.org/W1880262756","https://openalex.org/W2001442493","https://openalex.org/W2038043464","https://openalex.org/W2047981180","https://openalex.org/W2110464107","https://openalex.org/W2112475470","https://openalex.org/W2119120953","https://openalex.org/W2151373442","https://openalex.org/W2153579005","https://openalex.org/W2162652355","https://openalex.org/W2251617662","https://openalex.org/W2293583072","https://openalex.org/W2297117161","https://openalex.org/W2348500660","https://openalex.org/W2567467453","https://openalex.org/W2586597293","https://openalex.org/W2620742108","https://openalex.org/W2772421893","https://openalex.org/W2889078912","https://openalex.org/W2963034284","https://openalex.org/W2986889260","https://openalex.org/W3003461461","https://openalex.org/W3011573503","https://openalex.org/W3031804634","https://openalex.org/W3034651160","https://openalex.org/W3037109418","https://openalex.org/W3089269909","https://openalex.org/W3101112860","https://openalex.org/W3154992037","https://openalex.org/W3169763757","https://openalex.org/W3211380458","https://openalex.org/W3213605434","https://openalex.org/W4234439892","https://openalex.org/W4246064678","https://openalex.org/W4299797384","https://openalex.org/W6922227234"],"related_works":["https://openalex.org/W4386566522","https://openalex.org/W7167986548","https://openalex.org/W2293583072","https://openalex.org/W6997087760","https://openalex.org/W6920380055","https://openalex.org/W7143542059","https://openalex.org/W3103670089","https://openalex.org/W2528076457","https://openalex.org/W4401043591","https://openalex.org/W4390912407"],"abstract_inverted_index":{"Automated":[0],"detection":[1,25],"of":[2,35,38,54,76,98],"frames":[3,118],"in":[4,11,18,26,116,119],"political":[5,146,153],"discourses":[6],"has":[7],"gained":[8],"increasing":[9],"attention":[10],"natural":[12],"language":[13],"processing":[14],"(NLP).However,":[15],"earlier":[16],"studies":[17],"this":[19],"area":[20],"focus":[21],"heavily":[22],"on":[23,84,102],"frame":[24],"English":[27],"using":[28,93],"supervised":[29,45],"machine":[30],"learning":[31],"approaches.Addressing":[32],"the":[33,36,52,103],"difficulty":[34],"lack":[37],"annotated":[39],"data":[40],"for":[41,47,151],"training":[42],"and":[43,72,79,131,148],"evaluating":[44],"models":[46],"low-resource":[48],"languages,":[49],"we":[50],"investigate":[51],"potential":[53],"two":[55],"NLP":[56,149],"approaches":[57,92],"that":[58,110],"do":[59],"not":[60],"require":[61],"large-scale":[62],"manual":[63],"corpus":[64,96],"annotation":[65],"from":[66,145],"scratch:":[67],"1)":[68],"LDA-based":[69],"topic":[70,112],"modelling,":[71],"2)":[73],"a":[74,85,120,138],"combination":[75],"word2vec":[77],"embeddings":[78],"handcrafted":[80],"framing":[81,88],"keywords":[82],"based":[83],"novel,":[86],"expert-curated":[87],"schema.We":[89],"test":[90],"these":[91],"an":[94],"original":[95],"consisting":[97],"German-language":[99],"news":[100],"articles":[101],"\"European":[104],"Refugee":[105],"Crisis\"":[106],"between":[107],"2014-2018.We":[108],"show":[109],"while":[111],"modelling":[113],"is":[114],"insufficient":[115],"detecting":[117],"dataset":[121],"with":[122],"highly":[123],"homogeneous":[124],"vocabulary,":[125],"our":[126],"second":[127],"approach":[128,136],"yields":[129],"intriguing":[130],"more":[132],"humanly":[133],"interpretable":[134],"results.This":[135],"offers":[137],"promising":[139],"opportunity":[140],"to":[141],"incorporate":[142],"domain":[143],"knowledge":[144],"science":[147],"techniques":[150],"exploratory":[152],"text":[154],"analyses.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-01-04T00:00:00"}
