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Founded in 2003 / ISSN: 1696-019X / e-ISSN: 2386-3978 / Depósito Legal: M-5852-2003
DOI: 10.31921/doxacom
Pre-print #29, July-December 2019

Authors

Jesús Miguel Flores Vivar Universidad Complutense de Madrid, España
jmflores@ucm.es
Title Artificial intelligence and journalism: Diluting the impact of misinformation and fakes news through bots Summary The article addresses the understanding of misinformation as a phenomenon that goes far beyond the term “false news”, increasingly known in Anglo-Saxon idiom `Fake news’. These terms have been appropriate and misleadingly used by powerful actors to dismiss the information coverage leading to complete disinformation and, therefore, to a dizzying fall in credibility. Disinformation, as we discussed in this article, includes all forms of false, inaccurate or misleading information designed, presented and promoted to intentionally cause public harm or for profit. To counteract this phenomenon, institutions, organizations, universities and governments have been promoting various initiatives. Many of these initiatives are based on artificial intelligence that, with the art of algorithms, design and develop bots and platforms whose objective is to fight against the toxicity of information. The article analyzes the main developments of bots used to minimize the impact of fake news. Keywords Journalism, fake-news, artificial-intelligence, disinformacion, bots.

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