{"id":"https://openalex.org/W2903538699","doi":"https://doi.org/10.1109/icacci.2018.8554371","title":"A Hybrid Approach to Rumour Detection in Microblogging Platforms","display_name":"A Hybrid Approach to Rumour Detection in Microblogging Platforms","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903538699","doi":"https://doi.org/10.1109/icacci.2018.8554371","mag":"2903538699"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5003509558","display_name":"Abhishek Vijeev","orcid":"https://orcid.org/0009-0006-8570-4577"},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhishek Vijeev","raw_affiliation_strings":["Department of Computer Science, PES University, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, PES University, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066123291","display_name":"Anushreya Mahapatra","orcid":null},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anushreya Mahapatra","raw_affiliation_strings":["Department of Computer Science, PES University, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, PES University, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079339775","display_name":"Arundhati Shyamkrishna","orcid":null},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arundhati Shyamkrishna","raw_affiliation_strings":["Department of Computer Science, PES University, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, PES University, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088935861","display_name":"Srinivasa Murthy","orcid":null},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srinivasa Murthy","raw_affiliation_strings":["Department of Computer Science, PES University, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, PES University, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003509558"],"corresponding_institution_ids":["https://openalex.org/I196608512"],"apc_list":null,"apc_paid":null,"fwci":1.7107,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89651478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"337","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9997000098228455,"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":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9902999997138977,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.9638103246688843},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.8263634443283081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7905483245849609},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.6825319528579712},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6171722412109375},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6052299737930298},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5460084676742554},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5115883946418762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48177477717399597},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4747917056083679},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4505055248737335},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36100542545318604}],"concepts":[{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.9638103246688843},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.8263634443283081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7905483245849609},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6825319528579712},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6171722412109375},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6052299737930298},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5460084676742554},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5115883946418762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48177477717399597},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4747917056083679},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4505055248737335},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36100542545318604},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2018.8554371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2256224175","https://openalex.org/W2293652414","https://openalex.org/W2737907513","https://openalex.org/W2773666902","https://openalex.org/W2963731617"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W4367336074","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W2004826645"],"abstract_inverted_index":{"Microblogging":[0],"platforms":[1],"facilitate":[2],"fast":[3],"and":[4,25,54,81,87,111],"frequent":[5],"communication":[6],"among":[7],"very":[8],"large":[9],"numbers":[10],"of":[11,17,35,85,118,126,131],"users.":[12],"Rumours,":[13],"especially":[14],"in":[15,139],"times":[16],"crisis,":[18],"tend":[19],"to":[20,29,38,57],"spread":[21],"quickly,":[22],"causing":[23],"confusion,":[24],"impair":[26],"people's":[27],"ability":[28],"make":[30],"decisions.":[31],"Hence,":[32],"it":[33],"is":[34],"utmost":[36],"importance":[37],"automatically":[39],"detect":[40],"a":[41,64,73,83],"rumour":[42,65],"as":[43,45],"soon":[44],"possible.":[46],"Using":[47],"the":[48,119,124,132],"PHEME":[49],"dataset":[50],"that":[51,68],"contains":[52],"rumours":[53],"non-rumours":[55],"pertaining":[56],"five":[58],"major":[59],"events,":[60],"we":[61,122],"have":[62,78],"developed":[63],"detection":[66],"system":[67],"classifies":[69],"posts":[70],"from":[71],"Twitter,":[72],"popular":[74],"microblogging":[75],"website.":[76],"We":[77,100],"first":[79],"analyzed":[80],"ranked":[82],"number":[84],"content-based":[86,91],"user-based":[88],"features.":[89,120],"Some":[90],"features":[92],"are":[93],"derived":[94],"using":[95,115],"natural":[96],"language":[97],"processing":[98],"techniques.":[99],"then":[101],"trained":[102],"multiple":[103],"machine":[104],"learning":[105],"models":[106,133],"(Naive":[107],"Bayes,":[108],"Random":[109],"Forests":[110],"Support":[112],"Vector":[113],"Machines)":[114],"different":[116],"combinations":[117],"Finally,":[121],"compared":[123],"performance":[125,130],"these":[127],"models.":[128],"The":[129],"on":[134],"one":[135],"such":[136],"event":[137],"resulted":[138],"78%":[140],"accuracy.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}