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Misinformation Matters Online Content And Quality Analysis 1st Uyiosa Omoregie

  • SKU: BELL-49164696
Misinformation Matters Online Content And Quality Analysis 1st Uyiosa Omoregie
$ 31.00 $ 45.00 (-31%)

5.0

58 reviews

Misinformation Matters Online Content And Quality Analysis 1st Uyiosa Omoregie instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 1.71 MB
Pages: 115
Author: Uyiosa Omoregie, Kirsti Ryall
ISBN: 9781032311555, 9781032311562, 103231155X, 1032311568, 2022048220, 2022048221
Language: English
Year: 2023
Edition: 1st

Product desciption

Misinformation Matters Online Content And Quality Analysis 1st Uyiosa Omoregie by Uyiosa Omoregie, Kirsti Ryall 9781032311555, 9781032311562, 103231155X, 1032311568, 2022048220, 2022048221 instant download after payment.

What is “misinformation”? Why does it matter? How does it spread on the
internet, especially on social media platforms? What can we do to counteract
the worst of its effects? Can we counteract its effects now that it is
ubiquitous? These are the questions we answer in this book. We are living
in an information age (specifically an “algorithmic age”) which prioritizes
information “quantity” over “quality.” Social media has brought billions of
people from across the world together online and the impact of diverse platforms,
such as Facebook, WeChat, Reddit, LinkedIn, Signal, WhatsApp,
Gab, Instagram, Telegraph, and Snapchat, has been transformational.
The solution we provide to this growing dilemma is informed by Ludwig
Wittgenstein’s Tractatus Logico-Philosophicus, which examines the relationship
between language and reality from a philosophical perspective, and
complements Claude Shannon’s Information Quantity Theory, which
addresses the quantification, storage, and communication of digital information
from a mathematical perspective. The book ends by setting out a
model designed by us: a “Wittgensteinian” approach to information quality.
It defines content published online by clarifying the propositions and claims
made within it. Our model’s online information quality check allows users
to effectively analyse the quality of trending online content. This approach
to misinformation analysis and prevention has been designed to be both easy
to use and pragmatic. It upholds freedom of speech online while using the
“harm principle” to categorise problematic content.

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