{"id":"https://openalex.org/W4387951044","doi":"https://doi.org/10.1109/i-smac58438.2023.10290217","title":"DeepTweet: Leveraging Transformer-based Models for Enhanced Fake News Detection in Twitter Sentiment Analysis","display_name":"DeepTweet: Leveraging Transformer-based Models for Enhanced Fake News Detection in Twitter Sentiment Analysis","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4387951044","doi":"https://doi.org/10.1109/i-smac58438.2023.10290217"},"language":"en","primary_location":{"id":"doi:10.1109/i-smac58438.2023.10290217","doi":"https://doi.org/10.1109/i-smac58438.2023.10290217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i-smac58438.2023.10290217","pdf_url":null,"source":{"id":"https://openalex.org/S4363607843","display_name":"International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5093071570","display_name":"N. Vallileka","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Vallileka","raw_affiliation_strings":["PSNA College of Engineering and Technology,Department of Computer Applications,Dindigul,India","Department of Computer Applications, PSNA College of Engineering and Technology, Dindigul, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PSNA College of Engineering and Technology,Department of Computer Applications,Dindigul,India","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Applications, PSNA College of Engineering and Technology, Dindigul, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003876519","display_name":"P. Sundaravadivel","orcid":"https://orcid.org/0000-0003-1115-9490","observed_orcids":["https://orcid.org/0000-0003-1115-9490","https://orcid.org/0000-0001-5877-0380"]},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Sundaravadivel","raw_affiliation_strings":["Saveetha Engineering College,Department of Artificial Intelligence & Machine Learning,Thandalam,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saveetha Engineering College,Department of Artificial Intelligence & Machine Learning,Thandalam,India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052971146","display_name":"U. Karthikeyan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"U. Karthikeyan","raw_affiliation_strings":["SRM Institute of Science and Technology,School of Computing, College of Engineering and Technology,Department of Computing Technologies,Kattankulathur, Chennai,India","Department of Computing Technologies, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRM Institute of Science and Technology,School of Computing, College of Engineering and Technology,Department of Computing Technologies,Kattankulathur, Chennai,India","institution_ids":["https://openalex.org/I145286018"]},{"raw_affiliation_string":"Department of Computing Technologies, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062638836","display_name":"R. Santhana Krishnan","orcid":"https://orcid.org/0000-0001-7930-8072","observed_orcids":["https://orcid.org/0000-0001-7930-8072"]},"institutions":[{"id":"https://openalex.org/I4210144541","display_name":"Social Change and Development","ror":"https://ror.org/05b3yy015","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210144541"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Santhana Krishnan","raw_affiliation_strings":["SCAD College of Engineering and Technology,Department of Electronics and Communication Engineering,Cheranmahadevi,India","Department of Electronics and Communication Engineering, SCAD College of Engineering and Technology, Cheranmahadevi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SCAD College of Engineering and Technology,Department of Electronics and Communication Engineering,Cheranmahadevi,India","institution_ids":["https://openalex.org/I4210144541"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, SCAD College of Engineering and Technology, Cheranmahadevi, India","institution_ids":["https://openalex.org/I4210144541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079887750","display_name":"K. Lakshmi Narayanan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Lakshmi Narayanan","raw_affiliation_strings":["Francis Xavier Engineering College,Department of Electronics and Communication Engineering,Tirunelveli,India","Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Francis Xavier Engineering College,Department of Electronics and Communication Engineering,Tirunelveli,India","institution_ids":[]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102964691","display_name":"S. Sundararajan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210144541","display_name":"Social Change and Development","ror":"https://ror.org/05b3yy015","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210144541"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Sundararajan","raw_affiliation_strings":["SCAD College of Engineering and Technology,Department of Mechanical Engineering,Cheranmahadevi,India","Department of Mechanical Engineering, SCAD College of Engineering and Technology, Cheranmahadevi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SCAD College of Engineering and Technology,Department of Mechanical Engineering,Cheranmahadevi,India","institution_ids":["https://openalex.org/I4210144541"]},{"raw_affiliation_string":"Department of Mechanical Engineering, SCAD College of Engineering and Technology, Cheranmahadevi, India","institution_ids":["https://openalex.org/I4210144541"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.4676,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.98650833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9990000128746033,"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/T11644","display_name":"Spam and Phishing Detection","score":0.00039999998989515007,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.00019999999494757503,"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/fake-news-detection","display_name":"fake news detection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/twitter-sentiment-analysis","display_name":"Twitter sentiment analysis","score":0.7820000052452087},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.8889999985694885},{"id":"https://openalex.org/keywords/bert","display_name":"BERT","score":0.8109999895095825},{"id":"https://openalex.org/keywords/gpt","display_name":"GPT","score":0.8420000076293945},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.8619999885559082},{"id":"https://openalex.org/keywords/contextualized-embeddings","display_name":"contextual embeddings","score":0.9810000061988831},{"id":"https://openalex.org/keywords/misinformation","display_name":"misinformation","score":0.890999972820282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8334530591964722},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6757867336273193},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6342489123344421},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5820788145065308},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5501445531845093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5276051163673401},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5189992189407349},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.47858119010925293},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4754849672317505},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.46375420689582825},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35681360960006714},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12532305717468262},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0930030345916748},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i-smac58438.2023.10290217","doi":"https://doi.org/10.1109/i-smac58438.2023.10290217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i-smac58438.2023.10290217","pdf_url":null,"source":{"id":"https://openalex.org/S4363607843","display_name":"International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1612003148","https://openalex.org/W1837843568","https://openalex.org/W1973668723","https://openalex.org/W2611921107","https://openalex.org/W2786537343","https://openalex.org/W2911668186","https://openalex.org/W2944575651","https://openalex.org/W2966644476","https://openalex.org/W2991039510","https://openalex.org/W3007083472","https://openalex.org/W3047434993","https://openalex.org/W3127643186","https://openalex.org/W4324267455","https://openalex.org/W4362498843","https://openalex.org/W4367674869","https://openalex.org/W4377704684","https://openalex.org/W6636440780"],"related_works":["https://openalex.org/W4415626220","https://openalex.org/W4392910232","https://openalex.org/W4402373640","https://openalex.org/W7220753038","https://openalex.org/W7203597991","https://openalex.org/W4407919296","https://openalex.org/W7217570629","https://openalex.org/W4399199322","https://openalex.org/W4295948383","https://openalex.org/W4377234773"],"abstract_inverted_index":{"With":[0],"the":[1,4,7,18,50,62,70,89,113,145,170,201,211,249],"increase":[2],"in":[3,41,58,116,231],"popularity":[5],"of":[6,14,20,54,92,112,140,147,155,172,216],"social":[8],"media":[9],"sites,":[10],"there":[11],"arises":[12],"lot":[13],"adverse":[15],"effects":[16],"including":[17,177],"spread":[19],"fake":[21,38,56,126,162,241,263],"news.":[22,242],"This":[23],"research":[24],"study":[25,168],"proposes":[26],"a":[27,78,108,117,120,152],"novel":[28,121],"algorithm,":[29],"called":[30],"DeepTweet,":[31,148],"which":[32],"leverages":[33],"transformer-based":[34,71,250],"models":[35,251],"for":[36,125],"enhanced":[37,244],"news":[39,57,127,163,264],"detection":[40,128,220],"Twitter":[42],"sentiment":[43,114,255],"analysis.":[44],"The":[45,73,204,222,243],"aim":[46],"is":[47,129],"to":[48,87,131,199,227,253,260],"improve":[49],"accuracy":[51,217],"and":[52,65,94,104,161,180,194,218,236,257],"efficiency":[53,146],"identifying":[55,232],"real-time":[59],"by":[60,69,214,248],"exploiting":[61],"contextual":[63,97,245],"information":[64],"semantic":[66],"representations":[67],"captured":[68,247],"models.":[72],"proposed":[74,223],"DeepTweet":[75,173,209],"algorithm":[76],"utilizes":[77],"pre-trained":[79],"transformer":[80],"model,":[81],"such":[82,189],"as":[83,190],"BERT":[84],"or":[85],"GPT,":[86],"encode":[88],"textual":[90,135],"content":[91],"tweets":[93,157],"extract":[95],"rich":[96],"embeddings.":[98],"These":[99],"embeddings":[100,246],"capture":[101],"both":[102,159],"local":[103],"global":[105],"dependencies,":[106],"enabling":[107],"more":[109,261],"comprehensive":[110],"understanding":[111],"expressed":[115],"tweet.":[118],"Furthermore,":[119],"attention":[122,224],"mechanism":[123,225],"tailored":[124],"introduced":[130],"focus":[132],"on":[133],"key":[134],"features":[136],"that":[137,208],"are":[138,164,197],"indicative":[139],"potential":[141],"misinformation.":[142],"To":[143],"assess":[144],"extensive":[149],"simulations":[150],"using":[151],"large":[153],"dataset":[154],"labelled":[156],"containing":[158],"genuine":[160],"done.":[165],"Further,":[166],"this":[167],"compares":[169],"performance":[171],"with":[174,240],"existing":[175],"algorithms,":[176],"LSTM,":[178],"CNN,":[179],"traditional":[181],"machine":[182],"learning":[183],"approaches.":[184],"Various":[185],"simulation":[186,205],"metric":[187],"measures":[188],"accuracy,":[191],"precision,":[192],"recall,":[193],"F1":[195],"score":[196],"employed":[198],"analyze":[200],"algorithm's":[202],"performance.":[203,221],"grades":[206],"demonstrate":[207],"outperforms":[210],"prevailing":[212],"algorithms":[213],"means":[215],"overall":[219],"proves":[226],"be":[228],"particularly":[229],"effective":[230],"subtle":[233],"linguistic":[234],"cues":[235],"deceptive":[237],"patterns":[238],"associated":[239],"contribute":[252],"improved":[254],"analysis":[256],"subsequently":[258],"lead":[259],"accurate":[262],"detection.":[265]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-10-27T00:00:00"}