How to Deal with Fake News: Visualizing Disinformation
F. Espinoza (1) Department of Physics, Astronomy, Hofstra, University, Hempstead, NY. USA. (2) Department of Chemistry and, Physics-Adolescence Education, SUNY Old Westbury, Old Westbury, NY. USA

TL;DR
This paper proposes a model for combating disinformation by drawing analogies to wave phenomena, emphasizing skepticism and polarization as tools to enhance critical thinking and reduce the impact of fake news.
Contribution
It introduces a novel wave-based model for disinformation, incorporating skepticism and polarization to improve critical thinking and address biases.
Findings
Using skepticism as a default mode reduces confirmation bias.
Polarization as a filter helps evaluate disinformation based on evidence.
The strategy redefines disinformation as an independent phenomenon.
Abstract
The current public sense of anxiety in dealing with disinformation as manifested by so-called fake news is acutely displayed by the reaction to recent events prompted by a belief in conspiracies among certain groups. A model to deal with disinformation is proposed; it is based on a demonstration of the analogous behavior of disinformation to that of wave phenomena. Two criteria form the basis to combat the deleterious effects of disinformation: the use of a refractive medium based on skepticism as the default mode, and polarization as a filter mechanism to analyze its merits based on evidence. Critical thinking is enhanced since the first one tackles the pernicious effect of the confirmation bias, and the second the tendency towards attribution, both of which undermine our efforts to think and act rationally. The benefits of such a strategy include an epistemic reformulation of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMisinformation and Its Impacts · Social Media and Politics · Hate Speech and Cyberbullying Detection
