{"id":"https://openalex.org/W4402571242","doi":"https://doi.org/10.1109/snpd61259.2024.10673916","title":"A Deep Learning Method for Automatic News Frame Identification","display_name":"A Deep Learning Method for Automatic News Frame Identification","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4402571242","doi":"https://doi.org/10.1109/snpd61259.2024.10673916"},"language":"en","primary_location":{"id":"doi:10.1109/snpd61259.2024.10673916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd61259.2024.10673916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 27th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"},"type":"article","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/A5100327604","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0003-3416-839X"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["Communication University of China,School of Computer and Cyber Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Communication University of China,School of Computer and Cyber Sciences,Beijing,China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102621950","display_name":"Qiyi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyi Wei","raw_affiliation_strings":["Communication University of China,School of Computer and Cyber Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Communication University of China,School of Computer and Cyber Sciences,Beijing,China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101635899","display_name":"Bin Zheng","orcid":"https://orcid.org/0009-0004-0798-9082"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zheng","raw_affiliation_strings":["Communication University of China,School of Computer and Cyber Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Communication University of China,School of Computer and Cyber Sciences,Beijing,China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070308323","display_name":"Pengzhou Zhang","orcid":"https://orcid.org/0000-0001-5721-5692"},"institutions":[{"id":"https://openalex.org/I4391768176","display_name":"State Key Laboratory of Media Convergence and Communication","ror":"https://ror.org/0595ys057","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengzhou Zhang","raw_affiliation_strings":["Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China","institution_ids":["https://openalex.org/I75689368","https://openalex.org/I4391768176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100327604"],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66678111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9758999943733215,"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":0.9758999943733215,"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":0.9399999976158142,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9284999966621399,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.751609206199646},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6758310198783875},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6173170804977417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.614599347114563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.567444384098053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.326682448387146},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09712129831314087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751609206199646},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6758310198783875},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6173170804977417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.614599347114563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.567444384098053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.326682448387146},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09712129831314087},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd61259.2024.10673916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd61259.2024.10673916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 27th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1924689489","https://openalex.org/W1968044330","https://openalex.org/W1993613062","https://openalex.org/W2001442493","https://openalex.org/W2002781392","https://openalex.org/W2013063531","https://openalex.org/W2017878501","https://openalex.org/W2064601539","https://openalex.org/W2089363775","https://openalex.org/W2106874387","https://openalex.org/W2111804971","https://openalex.org/W2149684865","https://openalex.org/W2739996966","https://openalex.org/W2772421893","https://openalex.org/W2919115771","https://openalex.org/W2963929190","https://openalex.org/W3011574394","https://openalex.org/W3022718564","https://openalex.org/W3034651160","https://openalex.org/W3088409176","https://openalex.org/W6631190155","https://openalex.org/W6685803756"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127","https://openalex.org/W3082895349"],"abstract_inverted_index":{"News":[0],"framing":[1],"plays":[2],"a":[3,31,44,119],"crucial":[4],"role":[5],"in":[6,99,129],"shaping":[7],"public":[8],"opinion":[9],"and":[10,26,48,83,110,132],"understanding":[11],"of":[12,58,68,95,125],"events.":[13],"Traditional":[14],"news":[15,38,59,101,135],"frame":[16,39,136],"analysis":[17],"relies":[18],"heavily":[19],"on":[20,87,122],"manual":[21],"annotation,":[22],"which":[23],"is":[24],"timeconsuming":[25],"labor-intensive.":[27],"This":[28,116],"paper":[29],"proposes":[30],"novel":[32],"deep":[33,126],"learning-based":[34],"method":[35,98],"for":[36],"automatic":[37],"identification":[40],"(ANFI).":[41],"By":[42],"leveraging":[43],"pre-trained":[45],"Transformer":[46],"encoder":[47],"frame-specific":[49],"semantic":[50,56],"features,":[51],"ANFI":[52,105],"captures":[53],"the":[54,64,69,88,93,123],"latent":[55],"structures":[57],"text.":[60],"It":[61],"then":[62],"classifies":[63],"text":[65],"into":[66],"one":[67],"seven":[70],"commonly":[71],"used":[72],"generic":[73],"frames:":[74],"Fact,":[75],"Conflict,":[76],"Responsibility,":[77],"Economic":[78],"Consequences,":[79],"Human":[80],"Interest,":[81],"Morality,":[82],"Leadership.":[84],"Experimental":[85],"results":[86],"CNN/Daily":[89],"Mail":[90],"dataset":[91],"demonstrate":[92],"effectiveness":[94],"our":[96],"proposed":[97],"identifying":[100],"frames":[102],"automatically.":[103],"The":[104],"model":[106],"achieves":[107],"high":[108],"accuracy":[109],"outperforms":[111],"traditional":[112],"machine":[113],"learning":[114,127],"baselines.":[115],"research":[117],"provides":[118],"new":[120],"perspective":[121],"application":[124],"techniques":[128],"computational":[130],"journalism":[131],"facilitates":[133],"large-scale":[134],"analysis.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}