Medical Fake News Detector

The browser-based Medical Fake News Detector is capable of analyzing Hungarian texts (20-500 words) related to health and medicine. The analysis is performed by a neural network developed using machine learning. The detector gives users a percentage value that represents the likelihood of the given text being fake news.

The detector was created by Gencsi Mihály.

Medical Fake News Detector

	6722 Szeged, Egyetem utca 2.
	enyik@szte.hu

MTA–DE–SZTE Research Group
for Theoretical Linguistics

Science for the Hungarian Language National Programme of the Hungarian Academy of Sciences (MTA)

Linguistic identification of fake news and pseudoscientific views

University of Szeged

Faculty of Humanities and Social Sciences

Department of General Linguistics