{"id":"https://openalex.org/W6964318857","doi":"https://doi.org/10.26190/unsworks/3898","title":"False Information Detection on Social Media","display_name":"False Information Detection on Social Media","publication_year":2022,"publication_date":"2022-03-16","ids":{"openalex":"https://openalex.org/W6964318857","doi":"https://doi.org/10.26190/unsworks/3898"},"language":"en","primary_location":{"id":"pmh:oai:unsworks.library.unsw.edu.au:1959.4/64944","is_oa":true,"landing_page_url":"http://handle.unsw.edu.au/1959.4/64944","pdf_url":"https://unsworks.unsw.edu.au/bitstreams/ae885bbd-d40e-4fdb-af49-f747afcc2ff9/download","source":{"id":"https://openalex.org/S4306401737","display_name":"UNSWorks (University of New South Wales, Sydney, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40053085","host_organization_name":"Australian Defence Force Academy","host_organization_lineage":["https://openalex.org/I40053085"],"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":"http://purl.org/coar/resource_type/c_db06"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://unsworks.unsw.edu.au/bitstreams/ae885bbd-d40e-4fdb-af49-f747afcc2ff9/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dong, Manqing","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dong, Manqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11594","display_name":"Tree-ring climate responses","score":0.14020000398159027,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11594","display_name":"Tree-ring climate responses","score":0.14020000398159027,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12364","display_name":"Archaeological Research and Protection","score":0.09109999984502792,"subfield":{"id":"https://openalex.org/subfields/1912","display_name":"Space and Planetary Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12713","display_name":"Forest Ecology and Biodiversity Studies","score":0.09000000357627869,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.652400016784668},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5792999863624573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5673999786376953},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4408999979496002},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4401000142097473},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42419999837875366},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.412200003862381},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3449000120162964},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.3156000077724457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765999972820282},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.652400016784668},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5792999863624573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5673999786376953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5619999766349792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49799999594688416},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4408999979496002},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4401000142097473},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42419999837875366},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3846000134944916},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3418000042438507},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C45983554","wikidata":"https://www.wikidata.org/wiki/Q3412851","display_name":"Information quality","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:unsworks.library.unsw.edu.au:1959.4/64944","is_oa":true,"landing_page_url":"http://handle.unsw.edu.au/1959.4/64944","pdf_url":"https://unsworks.unsw.edu.au/bitstreams/ae885bbd-d40e-4fdb-af49-f747afcc2ff9/download","source":{"id":"https://openalex.org/S4306401737","display_name":"UNSWorks (University of New South Wales, Sydney, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40053085","host_organization_name":"Australian Defence Force Academy","host_organization_lineage":["https://openalex.org/I40053085"],"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":"http://purl.org/coar/resource_type/c_db06"},{"id":"doi:10.26190/unsworks/3898","is_oa":true,"landing_page_url":"https://doi.org/10.26190/unsworks/3898","pdf_url":null,"source":{"id":"https://openalex.org/S7407053176","display_name":"University of New South Wales","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dissertation"}],"best_oa_location":{"id":"pmh:oai:unsworks.library.unsw.edu.au:1959.4/64944","is_oa":true,"landing_page_url":"http://handle.unsw.edu.au/1959.4/64944","pdf_url":"https://unsworks.unsw.edu.au/bitstreams/ae885bbd-d40e-4fdb-af49-f747afcc2ff9/download","source":{"id":"https://openalex.org/S4306401737","display_name":"UNSWorks (University of New South Wales, Sydney, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40053085","host_organization_name":"Australian Defence Force Academy","host_organization_lineage":["https://openalex.org/I40053085"],"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":"http://purl.org/coar/resource_type/c_db06"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314997","display_name":"Strong","ror":"https://ror.org/041vyzr56"},{"id":"https://openalex.org/F4320320965","display_name":"University of New South Wales","ror":"https://ror.org/03r8z3t63"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6964318857.pdf","grobid_xml":"https://content.openalex.org/works/W6964318857.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,102,120,191,229],"web":[1,25,294,300],"has":[2],"greatly":[3],"enhanced":[4],"the":[5,24,28,57,68,86,93,106,115,131,136,144,147,156,184,187,202,208,223,227,233,247,266,277,282,293,305,308,312,317],"way":[6],"people":[7],"perform":[8],"certain":[9],"activities":[10],"such":[11,51],"as":[12,53],"online":[13],"shopping,":[14],"renting":[15],"for":[16,75,84,118,169,182,196,213,220,242,254,269,320],"a":[17,151,162,251,270,289],"house,":[18],"or":[19,42,99,172,285],"even":[20],"making":[21],"friends.":[22],"However,":[23],"also":[26,264],"provides":[27],"convenience":[29],"to":[30,38,46,113,129,281,296],"malicious":[31],"users,":[32],"who":[33],"may":[34],"write":[35],"fake":[36,44,283],"reviews":[37,284],"misguide":[39],"normal":[40],"users":[41,295],"spread":[43],"news":[45],"mislead":[47],"people.":[48],"We":[49,263],"call":[50],"information":[52,59,95,235,238,241,244,260,322],"false":[54,58,94,243,259,274,321],"information.":[55],"Detecting":[56],"is":[60,167,180,218,288],"important,":[61],"while":[62],"traditional":[63],"methods":[64,128],"limit":[65],"in":[66,134],"mining":[67,135],"inner":[69],"feature":[70,138],"relationships":[71],"and":[72,109,150,206,225,239,257,311,315],"are":[73,123,194],"inadequate":[74],"multi-domain":[76,197],"problems.":[77,88,262],"This":[78],"dissertation":[79],"adopts":[80],"deep":[81,126],"learning-based":[82],"approaches":[83,205],"solving":[85],"above":[87],"Specifically,":[89,140],"we":[90,200,303],"consider":[91,201,265],"detecting":[92],"with":[96],"man-crafted":[97,107,192],"features":[98,108,117,122,149,193],"latent":[100,210],"representations.":[101],"first":[103],"work":[104,160,231,249],"discusses":[105],"use":[110],"statistical":[111],"tests":[112],"select":[114],"effective":[116],"detection.":[119,214,245,279],"selected":[121],"learned":[124],"by":[125],"learning":[127],"inspect":[130],"potential":[132,209],"improvement":[133],"complex":[137],"interactions.":[139],"an":[141,298],"autoencoder":[142],"learns":[143],"representations":[145],"of":[146,186,236,273],"quality":[148],"neural":[152,188],"random":[153,189],"forest":[154],"predicts":[155],"labels.":[157],"A":[158,176],"following":[159,248],"considers":[161,250],"more":[163],"general":[164,252],"situation":[165],"that":[166,291],"suitable":[168],"one":[170],"dimensional":[171,174],"higher":[173],"inputs.":[175],"gradient":[177],"boost":[178],"module":[179],"designed":[181],"improving":[183],"stability":[185],"forest.":[190],"inflexible":[195],"tasks.":[198],"Thus,":[199,302],"latent-representation":[203],"based":[204],"exploit":[207],"representation":[211],"interactions":[212],"Additionally,":[215],"attention":[216],"mechanism":[217],"used":[219],"better":[221],"explain":[222],"model":[224,253],"visualize":[226],"results.":[228],"third":[230],"reports":[232],"cross":[234],"textual":[237],"side":[240],"And":[246],"both":[255],"opinion-based":[256],"fact-based":[258],"detection":[261,323],"similarity":[267,306],"measures":[268,319],"special":[271],"type":[272],"information,":[275],"i.e.":[276],"clickbait":[278,287],"Different":[280],"rumours,":[286],"link":[290,309],"induce":[292],"enter":[297],"unrelated":[299],"page.":[301],"compare":[304],"between":[307],"title":[310],"linked":[313],"pages":[314],"discuss":[316],"similarity-based":[318]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
