{"id":"https://openalex.org/W4417157786","doi":"https://doi.org/10.3390/data10120203","title":"ANSEC-MM: Identifying Antecedents of Negative Public Sentiment Through Expression Capacity: A Mixed-Methods Approach to Crisis Mitigation","display_name":"ANSEC-MM: Identifying Antecedents of Negative Public Sentiment Through Expression Capacity: A Mixed-Methods Approach to Crisis Mitigation","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W4417157786","doi":"https://doi.org/10.3390/data10120203"},"language":"en","primary_location":{"id":"doi:10.3390/data10120203","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data10120203","pdf_url":null,"source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/data10120203","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101741279","display_name":"Zeeshan Rasheed","orcid":"https://orcid.org/0000-0002-2810-7892"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeeshan Rasheed","raw_affiliation_strings":["Department of Computer Science, Mir Chakar Khan Rind University, Sibi, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-2810-7892","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Mir Chakar Khan Rind University, Sibi, Pakistan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083167611","display_name":"Shahzad Ashraf","orcid":"https://orcid.org/0000-0002-7637-7870"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Shahzad Ashraf","raw_affiliation_strings":["Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-7637-7870","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120731761","display_name":"Syed Kanza Mehak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Syed Kanza Mehak","raw_affiliation_strings":["Department of Computer Science, Mir Chakar Khan Rind University, Sibi, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Mir Chakar Khan Rind University, Sibi, Pakistan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083167611"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":2.1733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91481729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"10","issue":"12","first_page":"203","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8866000175476074,"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":0.8866000175476074,"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/T12488","display_name":"Mental Health via Writing","score":0.024800000712275505,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.022700000554323196,"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/categorization","display_name":"Categorization","score":0.6348999738693237},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6100999712944031},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5425999760627747},{"id":"https://openalex.org/keywords/negative-information","display_name":"Negative information","score":0.5238000154495239},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5167999863624573},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4819999933242798}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6348999738693237},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6100999712944031},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C3018121129","wikidata":"https://www.wikidata.org/wiki/Q2122243","display_name":"Negative information","level":2,"score":0.5238000154495239},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5167999863624573},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4819999933242798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47440001368522644},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.42579999566078186},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3637000024318695},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C3020014160","wikidata":"https://www.wikidata.org/wiki/Q6987190","display_name":"Negative emotion","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.265500009059906},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.25850000977516174}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/data10120203","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data10120203","pdf_url":null,"source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:aba32e684687481eb1bf4ab5d6c20307","is_oa":true,"landing_page_url":"https://doaj.org/article/aba32e684687481eb1bf4ab5d6c20307","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data, Vol 10, Iss 12, p 203 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/data10120203","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data10120203","pdf_url":null,"source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2324562510","https://openalex.org/W2489186520","https://openalex.org/W2809476703","https://openalex.org/W3045105424","https://openalex.org/W3085709861","https://openalex.org/W3116974294","https://openalex.org/W3138338713","https://openalex.org/W3143186644","https://openalex.org/W4220794653","https://openalex.org/W4282035730","https://openalex.org/W4288725445","https://openalex.org/W4296098474","https://openalex.org/W4300942339","https://openalex.org/W4308518849","https://openalex.org/W4319020189","https://openalex.org/W4387300302","https://openalex.org/W4389805796","https://openalex.org/W4390266739","https://openalex.org/W4392915619","https://openalex.org/W4393141410","https://openalex.org/W4402310877","https://openalex.org/W4404315138","https://openalex.org/W4409443197","https://openalex.org/W4410539238"],"related_works":[],"abstract_inverted_index":{"Social":[0],"networks":[1,29],"have":[2],"emerged":[3],"as":[4,95],"integral":[5],"platforms":[6],"for":[7],"communication":[8],"and":[9,20,54,122,135,206,216,228,235],"information":[10],"dissemination":[11],"in":[12,27,224],"contemporary":[13],"society.":[14],"The":[15,106,126,218],"spread":[16],"of":[17,25,44,61,76,89,103,112,114,164,176,187,233],"negative":[18,37,90,104,129,138,165,188,225],"sentiments":[19,189],"its":[21],"impact":[22],"on":[23,50],"activities":[24],"users":[26,35,153],"social":[28],"is":[30,196,204],"a":[31,96,199],"crucial":[32],"issue.":[33],"When":[34],"receive":[36],"reviews":[38],"about":[39],"news":[40],"or":[41],"articles,":[42],"regardless":[43],"authenticity,":[45],"they":[46],"form":[47],"opinions":[48],"based":[49],"their":[51],"own":[52],"understanding,":[53],"statistics":[55],"show":[56],"that":[57],"more":[58],"than":[59],"90%":[60,234],"the":[62,73,87,101,110,137,149,162,173,177,182,185],"time":[63],"this":[64,71],"reveals":[65],"predictable":[66],"behavior":[67],"patterns.":[68],"To":[69],"address":[70],"situation,":[72],"proposed":[74,107,219],"Antecedents":[75],"Negative":[77,193],"Sentiment":[78],"through":[79,198],"Expression":[80],"Capacity:":[81],"Mixed":[82],"Methods":[83],"(ANSEC-MM)":[84],"study":[85],"identifies":[86],"antecedents":[88],"sentiment":[91,194,226],"using":[92],"expression":[93],"capacity":[94],"mixed-methods":[97],"approach":[98],"to":[99,161,239],"mitigate":[100],"generation":[102,163],"sentiments.":[105,166],"model":[108,127,183,220],"introduces":[109],"concept":[111],"identification":[113],"influencer":[115,124,130,139,157],"nodes":[116,131,134,140],"with":[117,151,155],"further":[118,180],"categorization":[119],"into":[120],"active":[121],"inactive":[123],"nodes.":[125],"separates":[128],"from":[132,190],"positive":[133,191],"processes":[136],"further.":[141],"A":[142,167],"Node":[143],"Expressive":[144],"Capacity":[145],"(NE)":[146],"metric":[147],"predicts":[148],"frequency":[150],"which":[152,159],"interact":[154],"neighboring":[156],"nodes,":[158],"contributes":[160],"Cognitive":[168],"Effect":[169],"Coefficient":[170],"(\u03c6)":[171],"defines":[172],"temperament":[174],"status":[175],"users.":[178],"Through":[179],"computation,":[181],"distinguishes":[184],"proportion":[186],"ones.":[192],"mitigation":[195],"achieved":[197],"developed":[200],"algorithmic":[201],"approach.":[202],"Performance":[203],"tested":[205],"compared":[207,238],"across":[208],"three":[209],"datasets":[210],"against":[211],"state-of-the-art":[212],"models:":[213],"EANN,":[214],"BERT,":[215],"AOAN.":[217],"demonstrated":[221],"superior":[222],"performance":[223],"detection":[227],"mitigation,":[229],"achieving":[230],"accuracy":[231],"rates":[232],"88%,":[236],"respectively,":[237],"existing":[240],"models.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-11T00:21:10.989143","created_date":"2025-12-09T00:00:00"}
