Trust-based Ecosystem to Combat Fake News

Abstract

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 "filterbubbles" leveraging the availability of the big-data. Therefore, there is an ethical need to combat the flow of fake content. This paper attempts to resolves 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.

Amazon Biobank: Assessing the Implementation of a Blockchain-Based Genomic Database

“…The Biobank architecture can support both a custodial security model (i.e., the users' private keys are stored by the Federation) or a non-custodial one (i.e., users generate and manage their own private keys) [46], [47]. The former case requires Federation members to provide a secure environment for protecting user keys, which commonly involves special devices (e.g., hardware security modules -HSM) and/or cryptographic tools (e.g., multi-party computation -MPC) [47] In part for this reason, and in part because solving key custody challenges is not the focus of the Amazon Biobank, its current implementation supports only a noncustodial security model.…”

Digital society social interactions and trust analysis model

“…They are primarily propagated through digital media and have an impact on the entire social and mental status of society as a whole. There is a pressing need to develop tools that can recreate conditions similar to those that are currently occurring during the COVID-19 era of time ( Altay, Hacquin & Mercier, 2020 ; Flew, 2021 ; Stefanone, Vollmer & Covert, 2019 ; Jaroucheh, Alissa & Buchanan, 2020 ). Different communication tactics that help to create trust in society should be compared, and the tools should be able to aid users in appreciating the deep relationships between different types of communication and people’s sociological behaviour should be available ( Jaroucheh, Alissa & Buchanan, 2020 ; Ryan, 2021 ; Heuer & Breiter, 2020 ; Rowe & Alexander, 2017 ).…”

“…There is a pressing need to develop tools that can recreate conditions similar to those that are currently occurring during the COVID-19 era of time ( Altay, Hacquin & Mercier, 2020 ; Flew, 2021 ; Stefanone, Vollmer & Covert, 2019 ; Jaroucheh, Alissa & Buchanan, 2020 ). Different communication tactics that help to create trust in society should be compared, and the tools should be able to aid users in appreciating the deep relationships between different types of communication and people’s sociological behaviour should be available ( Jaroucheh, Alissa & Buchanan, 2020 ; Ryan, 2021 ; Heuer & Breiter, 2020 ; Rowe & Alexander, 2017 ). When developing a model, it is important to emphasize the facts that must be obtained on the influence of communication during future epidemics to develop a comprehensive communication planning tool that will help to eliminate distrust in the community.…”