{"id":"https://openalex.org/W2974808903","doi":"https://doi.org/10.1109/ic3.2019.8844892","title":"FIND: Fake Information and News Detections using Deep Learning","display_name":"FIND: Fake Information and News Detections using Deep Learning","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2974808903","doi":"https://doi.org/10.1109/ic3.2019.8844892","mag":"2974808903"},"language":"en","primary_location":{"id":"doi:10.1109/ic3.2019.8844892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2019.8844892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Twelfth International Conference on Contemporary Computing (IC3)","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/A5086227422","display_name":"Abhishek Verma","orcid":"https://orcid.org/0000-0001-6687-4809"},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhishek Verma","raw_affiliation_strings":["Department of CSE/IT, Jaypee Institute of Information Technology, Noida, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE/IT, Jaypee Institute of Information Technology, Noida, India","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019189334","display_name":"Vanshika Mittal","orcid":null},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vanshika Mittal","raw_affiliation_strings":["Department of CSE/IT, Jaypee Institute of Information Technology, Noida, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE/IT, Jaypee Institute of Information Technology, Noida, India","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074664167","display_name":"Suma Dawn","orcid":null},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suma Dawn","raw_affiliation_strings":["Department of CSE/IT, Jaypee Institute of Information Technology, Noida, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE/IT, Jaypee Institute of Information Technology, Noida, India","institution_ids":["https://openalex.org/I154970844"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086227422"],"corresponding_institution_ids":["https://openalex.org/I154970844"],"apc_list":null,"apc_paid":null,"fwci":10.7111,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.98036305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"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":1.0,"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":0.996399998664856,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8462480902671814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6973422765731812},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6760470271110535},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6661859750747681},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6030091643333435},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.592463493347168},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.5820210576057434},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5488191843032837},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4622177183628082},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42501991987228394},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.41612547636032104},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3317983150482178},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.09274175763130188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8462480902671814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6973422765731812},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6760470271110535},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6661859750747681},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6030091643333435},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.592463493347168},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.5820210576057434},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5488191843032837},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4622177183628082},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42501991987228394},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.41612547636032104},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3317983150482178},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09274175763130188},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3.2019.8844892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2019.8844892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Twelfth International Conference on Contemporary Computing (IC3)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2294488042","https://openalex.org/W2763572884","https://openalex.org/W2766411764","https://openalex.org/W2789734131","https://openalex.org/W2804688835","https://openalex.org/W3005212272","https://openalex.org/W3101890897"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W4366202965","https://openalex.org/W1969293528","https://openalex.org/W2349679704","https://openalex.org/W4389633859","https://openalex.org/W2570625548","https://openalex.org/W3213687907"],"abstract_inverted_index":{"Fake":[0],"news":[1,28,86,158],"detection":[2],"is":[3,9,48,63,87,114,150,171,180],"very":[4],"difficult":[5],"while":[6],"its":[7],"spread":[8],"simple":[10],"and":[11,27,35,50,65,101,105,122,131],"has":[12],"vast":[13],"repercussions.":[14],"To":[15],"tackle":[16],"this":[17,92],"problem":[18],"we":[19,94],"propose":[20],"a":[21,79,167],"model":[22],"which":[23,77],"detects":[24],"fake":[25,88,157],"information":[26],"with":[29],"the":[30,56,73,85,119,126,151,156,164,177],"help":[31],"of":[32,58,118,138],"Deep":[33,40],"Learning":[34],"Natural":[36,53],"Language":[37,54],"Processing.":[38],"A":[39],"Neural":[41,99],"Network":[42,100],"on":[43,163],"self":[44],"scraped":[45],"data":[46],"set":[47,170],"trained":[49],"by":[51],"using":[52,145],"Processing":[55],"correlation":[57],"words":[59],"in":[60],"respective":[61],"documents":[62],"found":[64],"these":[66],"correlations":[67],"serve":[68],"as":[69],"initial":[70],"weights":[71],"for":[72,111,116,125],"deep":[74],"neural":[75,127],"network":[76],"predicts":[78],"binary":[80],"label":[81],"to":[82,109,182],"detect":[83],"whether":[84],"or":[89],"not.":[90],"In":[91],"work":[93],"have":[95],"successfully":[96],"used":[97,115],"Recurrent":[98,107],"Long":[102],"Short-Term":[103],"Memories":[104],"Grated":[106],"Units":[108],"test":[110],"classification.":[112],"Tensorboard":[113],"implementation":[117],"proposed":[120,178],"framework":[121,179],"provide":[123],"visualizations":[124],"network.":[128],"Confusion":[129],"matrix":[130],"classification":[132],"reports":[133],"show":[134,175],"that":[135,176],"accuracy":[136],"score":[137],"upto":[139],"94":[140],"percent":[141],"can":[142,159],"be":[143,160],"achieved":[144],"LSTM":[146],"model.":[147],"The":[148,173],"tradeoff":[149],"increased":[152],"time":[153],"requirement.":[154],"Since":[155],"established":[161],"based":[162],"learning":[165],"model,":[166],"good":[168],"training":[169],"mandatory.":[172],"results":[174],"able":[181],"adequately":[183],"present":[184],"accurate":[185],"result.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
