  The growing trend of sharing news/contents, through social media platforms
and the World Wide Web has been seen to impact our perception of the truth,
altering our views about politics, economics, relationships, needs and wants.
This is because of the growing spread of misinformation and disinformation
intentionally or unintentionally by individuals and organizations. This trend
has grave political, social, ethical, and privacy implications for society due
to 1) the rapid developments in the field of Machine Learning (ML) and Deep
Learning (DL) algorithms in creating realistic-looking yet fake digital content
(such as text, images, and videos), 2) the ability to customize the content
feeds and to create a polarized so-called "filter-bubbles" leveraging the
availability of the big-data. Therefore, there is an ethical need to combat the
flow of fake content. This paper attempts to resolve some of the aspects of
this combat by presenting a high-level overview of TRUSTD, a blockchain and
collective signature-based ecosystem to help content creators in getting their
content backed by the community, and to help users judge on the credibility and
correctness of these contents.
