  In recent years, `fake news' has become a global issue that raises
unprecedented challenges for human society and democracy. This problem has
arisen due to the emergence of various concomitant phenomena such as (1) the
digitization of human life and the ease of disseminating news through social
networking applications (such as Facebook and WhatsApp); (2) the availability
of `big data' that allows customization of news feeds and the creation of
polarized so-called `filter-bubbles'; and (3) the rapid progress made by
generative machine learning (ML) and deep learning (DL) algorithms in creating
realistic-looking yet fake digital content (such as text, images, and videos).
There is a crucial need to combat the rampant rise of fake news and
disinformation. In this paper, we propose a high-level overview of a
blockchain-based framework for fake news prevention and highlight the various
design issues and consideration of such a blockchain-based framework for
tackling fake news.
