{"id":"https://openalex.org/W4313706929","doi":"https://doi.org/10.1007/s10586-022-03918-3","title":"Deep learning-based user experience evaluation in distance learning","display_name":"Deep learning-based user experience evaluation in distance learning","publication_year":2023,"publication_date":"2023-01-08","ids":{"openalex":"https://openalex.org/W4313706929","doi":"https://doi.org/10.1007/s10586-022-03918-3","pmid":"https://pubmed.ncbi.nlm.nih.gov/36643764"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-022-03918-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-022-03918-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10586-022-03918-3.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10586-022-03918-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087666997","display_name":"Rahim Sadigov","orcid":"https://orcid.org/0000-0002-0639-6304"},"institutions":[{"id":"https://openalex.org/I197185219","display_name":"Istanbul K\u00fclt\u00fcr University","ror":"https://ror.org/05jvrwv37","country_code":"TR","type":"education","lineage":["https://openalex.org/I197185219"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Rahim Sadigov","raw_affiliation_strings":["Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey","institution_ids":["https://openalex.org/I197185219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066092001","display_name":"Elif Y\u0131ld\u0131r\u0131m","orcid":"https://orcid.org/0000-0002-1599-9473"},"institutions":[{"id":"https://openalex.org/I197185219","display_name":"Istanbul K\u00fclt\u00fcr University","ror":"https://ror.org/05jvrwv37","country_code":"TR","type":"education","lineage":["https://openalex.org/I197185219"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Elif Y\u0131ld\u0131r\u0131m","raw_affiliation_strings":["Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey","institution_ids":["https://openalex.org/I197185219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023736045","display_name":"B\u00fc\u015fra Koca\u00e7\u0131nar","orcid":"https://orcid.org/0000-0002-2411-768X"},"institutions":[{"id":"https://openalex.org/I197185219","display_name":"Istanbul K\u00fclt\u00fcr University","ror":"https://ror.org/05jvrwv37","country_code":"TR","type":"education","lineage":["https://openalex.org/I197185219"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"B\u00fc\u015fra Koca\u00e7\u0131nar","raw_affiliation_strings":["Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey","institution_ids":["https://openalex.org/I197185219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000253980","display_name":"Fatma Patlar Akbulut","orcid":"https://orcid.org/0000-0002-9689-7486"},"institutions":[{"id":"https://openalex.org/I197185219","display_name":"Istanbul K\u00fclt\u00fcr University","ror":"https://ror.org/05jvrwv37","country_code":"TR","type":"education","lineage":["https://openalex.org/I197185219"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatma Patlar Akbulut","raw_affiliation_strings":["Department of Software Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey","institution_ids":["https://openalex.org/I197185219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038073619","display_name":"Cagatay Catal","orcid":"https://orcid.org/0000-0003-0959-2930"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Cagatay Catal","raw_affiliation_strings":["Department of Computer Science and Engineering, Qatar University, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038073619"],"corresponding_institution_ids":["https://openalex.org/I60342839"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":{"value":3190,"currency":"USD","value_usd":3190},"fwci":3.2313,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93229972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"27","issue":"1","first_page":"443","last_page":"455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9922000169754028,"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"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9873999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.823829174041748},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.8186109066009521},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8123644590377808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7773635387420654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5648918747901917},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5480358004570007},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5480071902275085},{"id":"https://openalex.org/keywords/distance-education","display_name":"Distance education","score":0.5203351974487305},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.506070077419281},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5041123628616333},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.48541101813316345},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.48176002502441406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4544014632701874},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4217025339603424},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3443093001842499},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.29979822039604187},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26525717973709106},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.22485944628715515},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13548466563224792}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.823829174041748},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8186109066009521},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8123644590377808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7773635387420654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5648918747901917},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5480358004570007},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5480071902275085},{"id":"https://openalex.org/C503872463","wikidata":"https://www.wikidata.org/wiki/Q159595","display_name":"Distance education","level":2,"score":0.5203351974487305},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.506070077419281},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5041123628616333},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.48541101813316345},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.48176002502441406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4544014632701874},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4217025339603424},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3443093001842499},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.29979822039604187},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26525717973709106},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.22485944628715515},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13548466563224792},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s10586-022-03918-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-022-03918-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10586-022-03918-3.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},{"id":"pmid:36643764","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36643764","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster computing","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9825798","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9825798","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9825798/pdf/10586_2022_Article_3918.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Cluster Comput","raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/24921387","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Deep_learning-based_user_experience_evaluation_in_distance_learning/24921387","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"Text"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/70197","is_oa":false,"landing_page_url":"http://doi.org/10.1007/s10586-022-03918-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s10586-022-03918-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-022-03918-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10586-022-03918-3.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322472","display_name":"Qatar University","ror":"https://ror.org/00yhnba62"},{"id":"https://openalex.org/F4320334468","display_name":"Qatar National Library","ror":"https://ror.org/02jv93662"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313706929.pdf","grobid_xml":"https://content.openalex.org/works/W4313706929.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2016196732","https://openalex.org/W2019759670","https://openalex.org/W2023589828","https://openalex.org/W2168625136","https://openalex.org/W2619427514","https://openalex.org/W2789876780","https://openalex.org/W2801566476","https://openalex.org/W2966315919","https://openalex.org/W2988251007","https://openalex.org/W2988337444","https://openalex.org/W2999981266","https://openalex.org/W3013466528","https://openalex.org/W3081034060","https://openalex.org/W3090154305","https://openalex.org/W3104327413","https://openalex.org/W3135801508","https://openalex.org/W3144293453","https://openalex.org/W3178436058","https://openalex.org/W3190856469","https://openalex.org/W3200230513","https://openalex.org/W3209711513","https://openalex.org/W4210808381","https://openalex.org/W4220829848","https://openalex.org/W4225104563","https://openalex.org/W4247149782","https://openalex.org/W4285302276","https://openalex.org/W4312471473","https://openalex.org/W4312926220"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"The":[0,28,186],"Covid-19":[1,92,205],"pandemic":[2,93,206,246],"caused":[3],"uncertainties":[4],"in":[5,12,25,31,116,184,228],"many":[6],"different":[7],"organizations,":[8],"institutions":[9],"gained":[10],"experience":[11],"remote":[13],"working":[14],"and":[15,58,79,101,126,132,144,168,232,249],"showed":[16],"that":[17,203],"high-quality":[18],"distance":[19,38,166],"education":[20,33,39,53,118,167,248,262],"is":[21,34,94],"a":[22,47,68,170],"crucial":[23],"component":[24],"higher":[26,32],"education.":[27],"main":[29],"concern":[30],"the":[35,41,74,86,91,113,117,160,174,181,190,204,229,242,245,256,261,266],"impact":[36,243],"of":[37,43,52,70,76,88,162,197,213,244],"on":[40,67,136,210,225,236,247,265],"quality":[42],"learning":[44],"during":[45,90,165],"such":[46,72],"pandemic.":[48],"Although":[49],"this":[50,84,221],"type":[51],"may":[54],"be":[55],"considered":[56],"effective":[57],"beneficial":[59],"at":[60],"first":[61],"glance,":[62],"its":[63],"effectiveness":[64,87],"highly":[65],"depends":[66],"variety":[69],"factors":[71],"as":[73],"availability":[75],"online":[77],"resources":[78],"individuals'":[80],"financial":[81],"situations.":[82],"In":[83,238],"study,":[85],"e-learning":[89],"evaluated":[95],"using":[96,153,173],"posted":[97],"tweets,":[98,108],"sentiment":[99,129,150],"analysis,":[100],"topic":[102,133,171],"modeling":[103],"techniques.":[104],"More":[105],"than":[106],"160,000":[107],"addressing":[109],"conditions":[110],"related":[111],"to":[112,158,179,255,260],"major":[114],"change":[115],"system,":[119],"were":[120,142,215],"gathered":[121],"from":[122],"Twitter":[123,163],"social":[124],"network":[125],"deep":[127],"learning-based":[128,269],"analysis":[130,151],"models":[131,134],"based":[135,264],"latent":[137],"dirichlet":[138],"allocation":[139],"(LDA)":[140],"algorithm":[141,176],"developed":[143],"analyzed.":[145],"Long":[146],"short":[147],"term":[148],"memory-based":[149],"model":[152,172,192],"word2vec":[154],"embedding":[155],"was":[156,177,222],"used":[157],"evaluate":[159],"opinions":[161],"users":[164],"also,":[169],"LDA":[175],"built":[178],"identify":[180],"discussed":[182],"topics":[183],"Twitter.":[185,237],"conducted":[187],"experiments":[188],"demonstrate":[189],"proposed":[191,267],"achieved":[193],"an":[194],"overall":[195],"accuracy":[196],"76%.":[198],"Our":[199],"findings":[200],"also":[201],"reveal":[202],"has":[207],"negative":[208,218],"effects":[209],"individuals":[211],"54.5%":[212],"tweets":[214],"associated":[216],"with":[217],"emotions":[219,252],"whereas":[220],"relatively":[223],"low":[224],"emotion":[226,234],"reports":[227],"YouGov":[230],"survey":[231],"gender-rescaled":[233],"scores":[235],"parallel,":[239],"we":[240],"discuss":[241],"how":[250],"users'":[251],"altered":[253],"due":[254],"catastrophic":[257],"changes":[258],"allied":[259],"system":[263],"machine":[268],"models.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
