Avram Turing is a non-partisan research-driven organization of analysts
We rate, label and summarize the information quality of trending/viral online content.
Through our research, in 2021, we coined two new concepts
and introduced them to the international research community and the information quality analysis body of knowledge
Our book is an Amazon bestseller (Library & Information Science category) available in Kindle, paperback and hardback versions
Institute Professor Emeritus, Massachusetts Institute of Technology (MIT)
"...the book, it will be an important one"
ZAINAB USMAN, PhD (Oxford)
Senior fellow and director of the Africa Program at the Carnegie Endowment for International Peace
Online social media has brought together billions of people from around the world. The impact of diverse platforms such as Facebook, WeChat, Reddit, LinkedIn, Signal, WhatsApp, Gab, Instagram, Telegraph etc. has been transformational. The number of active users of the six most popular online social networks combined is estimated at about 10 billion. The internet is a place where online written content can be created, consumed and diffused without any real intermediary. This empowering aspect of the Web is generally a force for good: people, on the whole, are better informed and participation in online discussion is more inclusive (barriers to participation are reduced). As online activity has grown, however, research has revealed a darker side to online social media and its ability to influence behaviour negatively in the real world.
In this short monograph, information quantity theory, brilliantly espoused by Claude Shannon (father of the information age) is balanced by an approach to information quality inspired by Ludwig Wittgenstein. The authors propose a framework for online misinformation analysis and provide a tentative online information quality theory. The concept of "algorithmic choice" for the ranking of content for social media users is endorsed as a way forward.
We were pleasantly surprised to find that our approach to online content rating and ranking is in line with the solution proposed in 2019 by Dr Stephen Wolfram to the U.S. Senate Subcommittee Hearing on Communication, Technology, Innovation and the Internet.
This expert testimony validates our approach to online content ranking
The above video is a compilation of some of Dr Stephen Wolfram's responses in the U.S. Senate Hearing "Optimizing for Engagement: Understanding the Use of Persuasive Technology on Internet Platforms." The Hearing examined how algorithmic decision-making and machine learning on internet platforms might be influencing the public.
partner with us / collaborate with us / contact us: click here
ContentQual® our startup will deploy digital technology for online misinformation prevention
a consumer-facing/content-focused online platform/app/Web browser extension,
and add friction to low quality/misinformation (slow down/reduce the sharing)
which helps to strengthen the credibility of authentic online content producers and online news media by this signal of trustworthiness
We also produce research reports, academic papers, opinion articles
and we conduct online misinformation prevention training