Description
Book SynopsisThe increase in fake news, the growing influence on elections, increasing false reports and targeted disinformation campaigns are not least a consequence of advancing digitalisation. Information technology is needed to put a stop to these undesirable developments. With intelligent algorithms and refined data analysis, fakes must be detected more quickly in the future and their spread prevented. However, in order to meaningfully recognize and filter fakes by means of artificial intelligence, it must be possible to distinguish fakes from facts, facts from fictions, and fictions from fakes. This book therefore also asks questions about the distinctions of fake, factual and fictional. The underlying theories of truth are discussed, and practical-technical ways of differentiating truth from falsity are outlined. By considering the fictional as well as the assumption that information-technical further development can profit from humanities knowledge, the authors hope that content-related, technical and methodological challenges of the present and future can be overcome.
Table of ContentsIntroduction - Truth relativism, scientific skepticism and the political consequences - Of Fakes and Frauds: Can scientific "hoaxes" be a legitimate tool of knowledge? - Fiction, Fake and Fact - Stranger than Fiction - The Marxist-Leninist Definition of Fascism and the Building of the Wall - Beware: possible "Fake News" - a technical approach to early detection - Countering Fake News technically - Detection and treatment approaches to support users - NewsDeps: Visualizing the Origin of Information in News Articles
