{"id":"https://openalex.org/W2943012941","doi":"https://doi.org/10.1145/3308560.3316739","title":"A Topic-Agnostic Approach for Identifying Fake News Pages","display_name":"A Topic-Agnostic Approach for Identifying Fake News Pages","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2943012941","doi":"https://doi.org/10.1145/3308560.3316739","mag":"2943012941"},"language":"en","primary_location":{"id":"doi:10.1145/3308560.3316739","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308560.3316739","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308560.3316739","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sonia Castelo","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sonia Castelo","raw_affiliation_strings":["New York Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York Univ","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Thais Almeida","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thais Almeida","raw_affiliation_strings":["Federal Univ. of Amazonas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Univ. of Amazonas","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anas Elghafari","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anas Elghafari","raw_affiliation_strings":["New York Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York Univ","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"A\u00e9cio Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A\u00e9cio Santos","raw_affiliation_strings":["New York Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York Univ","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kien Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kien Pham","raw_affiliation_strings":["New York Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York Univ","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eduardo Nakamura","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo Nakamura","raw_affiliation_strings":["Federal Univ. of Amazonas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Univ. of Amazonas","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"last","author":{"id":null,"display_name":"Juliana Freire","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juliana Freire","raw_affiliation_strings":["New York Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York Univ","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":24.0476,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.99393939,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"975","last_page":"980"},"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/T10028","display_name":"Topic Modeling","score":0.9927999973297119,"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/T11644","display_name":"Spam and Phishing Detection","score":0.989799976348877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.9157999753952026},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.8240000009536743},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49549999833106995},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4586000144481659},{"id":"https://openalex.org/keywords/false-accusation","display_name":"False accusation","score":0.42309999465942383},{"id":"https://openalex.org/keywords/disinformation","display_name":"Disinformation","score":0.4124000072479248},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.3357999920845032}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.9157999753952026},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.8240000009536743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6972000002861023},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C59577422","wikidata":"https://www.wikidata.org/wiki/Q10265143","display_name":"False accusation","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C2776552730","wikidata":"https://www.wikidata.org/wiki/Q189656","display_name":"Disinformation","level":3,"score":0.4124000072479248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3700999915599823},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3506999909877777},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3425000011920929},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3230000138282776},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C529147693","wikidata":"https://www.wikidata.org/wiki/Q1193236","display_name":"News media","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.2567000091075897},{"id":"https://openalex.org/C11192451","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Stylometry","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2531999945640564}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3308560.3316739","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308560.3316739","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/634dff43-eaff-4a76-8536-944fa971ec98","is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/634dff43-eaff-4a76-8536-944fa971ec98","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Castelo, S, Almeida, T, Elghafari, A, Santos, A, Pham, K, Nakamura, E & Freire, J 2019, A topic-agnostic approach for identifying fake news pages. in The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. The Association for Computing Machinery, Inc., pp. 975-980, 2019 World Wide Web Conference, WWW 2019, San Francisco, California, United States, 13/05/19. https://doi.org/10.1145/3308560.3316739","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:1905.00957","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.00957","pdf_url":"https://arxiv.org/pdf/1905.00957","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"doi:10.1145/3308560.3316739","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308560.3316739","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2056132907","https://openalex.org/W2092939357","https://openalex.org/W2134287462","https://openalex.org/W2582561810","https://openalex.org/W2737827343","https://openalex.org/W2742330194","https://openalex.org/W2759820691","https://openalex.org/W2783564496","https://openalex.org/W2963205619","https://openalex.org/W2966487074","https://openalex.org/W2997644599","https://openalex.org/W4245267204"],"related_works":[],"abstract_inverted_index":{"Fake":[0],"news":[1,119],"and":[2,12,25,73,77,113],"misinformation":[3],"have":[4,40],"been":[5,41],"increasingly":[6],"used":[7],"to":[8,27,34,43,93,116],"manipulate":[9],"popular":[10],"opinion":[11],"influence":[13],"political":[14,68],"processes.":[15],"To":[16,99],"better":[17],"understand":[18],"fake":[19,48,118,141],"news,":[20,142],"how":[21,26],"they":[22],"are":[23,70],"propagated,":[24],"counter":[28],"their":[29,51],"effect,":[30],"it":[31],"is":[32,91],"necessary":[33],"first":[35],"identify":[36,117],"them.":[37],"Recently,":[38],"approaches":[39,58],"proposed":[42],"automatically":[44],"classify":[45],"articles":[46,85],"as":[47,66,144],"based":[49],"on":[50],"content.":[52],"An":[53],"important":[54],"challenge":[55],"for":[56],"these":[57],"comes":[59],"from":[60,84],"the":[61,97,138],"dynamic":[62],"nature":[63],"of":[64,140],"news:":[65],"new":[67],"events":[69],"covered,":[71],"topics":[72,145],"discourse":[74],"constantly":[75],"change":[76],"thus,":[78],"a":[79,88,105],"classifier":[80],"trained":[81],"using":[82,125],"content":[83],"published":[86],"at":[87],"given":[89],"time":[90],"likely":[92],"become":[94],"ineffective":[95],"in":[96,137],"future.":[98],"address":[100],"this":[101],"challenge,":[102],"we":[103],"propose":[104],"topic-agnostic":[106],"(TAG)":[107],"classification":[108],"strategy":[109],"that":[110,131],"uses":[111],"linguistic":[112],"web-markup":[114],"features":[115],"pages.":[120],"We":[121],"report":[122],"experimental":[123],"results":[124],"multiple":[126],"data":[127],"sets":[128],"which":[129],"show":[130],"our":[132],"approach":[133],"attains":[134],"high":[135],"accuracy":[136],"identification":[139],"even":[143],"evolve":[146],"over":[147],"time.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2019-05-09T00:00:00"}
