| Description |
1 online resource (xiii, 100 pages) : illustrations |
| Contents |
Background -- A philosophical approach -- Interventions -- Analysing the problem -- The global online information quality check model |
| Summary |
"What is 'misinformation'? Why does it matter? How does it spread on the internet, especially on social media platforms? What can we do to try and counteract the worst of its effects? Can we counteract its effects now that it is ubiquitous? These are the questions we try to answer in this book. We are living in an information age (specifically an 'algorithmic age') which prioritises information quantity over quality. Social media has brought together online billions of people from across the world and the impact of diverse platforms, such as Facebook, WeChat, Reddit, LinkedIn, Signal, WhatsApp, Gab, Instagram, Telegraph, Snapchat, has been transformational. The internet was created, with the best of intentions, as an online space where written content could be created, consumed and diffused without any real intermediary. This empowering aspect of the web is still, mostly, a force for good. People, on the whole, are better informed and online discussion is more inclusive because barriers to participation are reduced. As activity online has grown, however, an expanding back catalogue of research reveals a darker side to social media, and the internet generally. Namely misinformation's ability to influence negatively our behaviour both online and offline. The solution we propose to this growing dilemma is informed by Ludwig Wittgenstein's work Tractatus Logico-Philosophicus, which examines the relationship between language and reality from a philosophical perspective, and 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. It is a 'Wittgensteinian' approach to information quality, that seeks to define content published online by clarifying the propositions and claims made within it. Our model's online information quality checklist helps users analyse the quality of trending content online. This approach to misinformation analysis and prevention has been designed to be both relatively easy to use and pragmatic. It upholds freedom of speech online while using the 'harm principle' to categorise problematic content"-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
The authors are the co-founders of Avram Turing, a research organisation focused on misinformation prevention online and content analysis. Uyiosa Omoregie is the principal analyst at Avram Turing. He attended West Buckland School in England, U.K. He is an alumnus of the University of London (The London School of Economics as lead college). He is a member of the Association of Internet Researchers (AoIR), the Canadian Association for Information Science and the Canadian Academy of Independent Scholars. He is a referee for the Journal of Information Science (SAGE Publishing) and Misinformation Review (Harvard University). Kirsti Ryall, is the principal researcher at Avram Turing. She attended West Buckland School in England, U.K. She holds a degree in English Literature. She previously worked in advertising, marketing, and fundraising roles as a graphic designer, copywriter, proof-reader, and as a trainer helping others on how best to present their work. She is a member of the Association of Internet Researchers (AoIR) |
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Description based on online resource; title from digital title page (viewed on April 11, 2023) |
| Subject |
Social media.
|
|
Misinformation.
|
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Information literacy.
|
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COMPUTERS / Social Aspects / Human-Computer Interaction
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COMPUTERS / Internet / Security
|
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Information literacy.
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Misinformation.
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Social media.
|
| Form |
Electronic book
|
| Author |
Ryall, Kirsti, author.
|
| LC no. |
2022048221 |
| ISBN |
9781003308348 |
|
1003308341 |
|
9781000863871 |
|
1000863875 |
|
9781000863901 |
|
1000863905 |
|
