{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,13]],"date-time":"2024-07-13T01:37:41Z","timestamp":1720834661090},"reference-count":17,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2022,2,15]],"date-time":"2022-02-15T00:00:00Z","timestamp":1644883200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Countering the fake news phenomenon has become one of the most important challenges for democratic societies, governments and non-profit organizations, as well as for the researchers coming from several domains. This is not a local problem and demands a holistic approach to analyzing heterogeneous data and storing the results. The research problem we face in this paper is the proposition of an innovative distributed architecture to tackle the above-mentioned problems. The architecture uses state-of-the-art technologies with a focus on efficiency, scalability and also openness, so that community-created components and digital content analyzers could be added. Moreover, we prove the usability of the prototype on Kaggle Fake News dataset. In particular, we consider different configurations of the proposed deep neural network and present the results reflecting the effectiveness, scalability and transferability of the proposed solution.<\/jats:p>","DOI":"10.1093\/jigpal\/jzac009","type":"journal-article","created":{"date-parts":[[2022,2,11]],"date-time":"2022-02-11T20:11:26Z","timestamp":1644610286000},"page":"1005-1016","source":"Crossref","is-referenced-by-count":4,"title":["Fake news detection platform\u2014conceptual architecture and prototype"],"prefix":"10.1093","volume":"30","author":[{"given":"Rafa\u0141","family":"Kozik","sequence":"first","affiliation":[{"name":"Bydgoszcz University of Science and Technology , 85-796 Bydgoszcz, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marek","family":"Pawlicki","sequence":"additional","affiliation":[{"name":"Bydgoszcz University of Science and Technology , 85-796 Bydgoszcz, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Kula","sequence":"additional","affiliation":[{"name":"Bydgoszcz University of Science and Technology , 85-064 Bydgoszcz, Poland, and Kazimierz Wielki University, UKW Bydgoszcz, Bydgoszcz, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Micha\u0142","family":"Chora\u015b","sequence":"additional","affiliation":[{"name":"Bydgoszcz University of Science and Technology , 85-796 Bydgoszcz, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,2,15]]},"reference":[{"key":"2022112012285447500_ref1","doi-asserted-by":"crossref","first-page":"107050","DOI":"10.1016\/j.asoc.2020.107050","article-title":"Advanced machine learning techniques for fake news (online disinformation) detection: a systematic mapping study","volume":"101","author":"Michal","year":"2021","journal-title":"Applied Soft Computing"},{"key":"2022112012285447500_ref2","first-page":"130","article-title":"Pattern recognition solutions for fake news detection","volume-title":"Computer Information Systems and Industrial Management\u201417th International Conference, CISIM 2018, Olomouc, Czech Republic, September 27\u201329, 2018, Proceedings","author":"Choras","year":"2018"},{"key":"2022112012285447500_ref3","first-page":"68:1","article-title":"Socialtruth project approach to online disinformation (fake news) detection and mitigation","volume-title":"Proceedings of the 14th International Conference on Availability, Reliability and Security, ARES 2019, Canterbury, UK, August 26\u201329, 2019","author":"Choras","year":"2019"},{"key":"2022112012285447500_ref4","article-title":"Slidewiki microservice architecture for collaborative online system development","volume-title":"10th ACM Conference on Web Science, WebSci 2018","author":"de Graaf","year":"2018"},{"key":"2022112012285447500_ref5","volume-title":"False Rumor of Explosion at White House Causes Stocks to Briefly Plunge; 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