Michael Polányi’s fiduciary program against fake news and deepfake in the digital age

Abstract

This paper argues that Michael Polányi’s account of how science, as an institution, establishes knowledge can provide a structure for a future institution capable of countering misinformation, or fake news, and deepfakes. I argue that only an institutional approach can adequately take up the challenge against the corresponding institution of fake news. The fact of filtering news and information may be bothering. It is the threat of censorship and free speech limitation. Instead, I propose that we should indicate reliable information with a trademark and news signing-approved information and brand equity. I offer a method of creating a standard for online news that people can rely on (similar to high-quality shopping products).

Fake news detection using deep learning integrating feature extraction, natural language processing, and statistical descriptors

“…Since fake news can potentially cause serious problems in society, 4 it is necessary to detect such news. It has been shown that the primary platform of fake news is social media 5 . The implications of the prevalence of fake news on social media become even starker when we consider that approximately 47% of Americans report that their dominant source of news is social media 6 .…”

“…It has been shown that the primary platform of fake news is social media. 5 The implications of the prevalence of fake news on social media become even starker when we consider that approximately 47% of Americans report that their dominant source of news is social media. 6 Clearly, an appropriate system of safeguards is needed.…”