TRUSTD：使用区块链和集体签名技术打击虚假内容
TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies
摘要：
通过社交媒体平台和万维网分享新闻/内容的日益增长的趋势已经被认为影响了我们对真相的看法，改变了我们对政治，经济，关系，需求和欲望的看法。这是因为个人和组织有意或无意地传播的错误信息和虚假信息越来越多。这一趋势对社会具有严重的政治、社会、伦理和隐私影响，因为1）机器学习（ML）和深度学习（DL）算法在创建看起来真实但虚假的数字内容方面的快速发展（如文本、图像和视频），2）定制内容馈送和创建极化的所谓“过滤气泡”的能力，利用大数据的可用性。因此，在道德上需要打击虚假内容的流动。本文试图通过介绍TRUSTD的高级概述来解决这场战斗的一些方面，TRUSTD是一个基于区块链和集体签名的生态系统，旨在帮助内容创建者获得社区支持的内容，并帮助用户判断这些内容的可信度和正确性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
