Fake News E Intelig Ncia Artificial
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Fake News E Intelig Ncia Artificial
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Author : Magaly Prado
language : pt-BR
Publisher: Almedina Brasil
Release Date : 2022-07-01
Fake News E Intelig Ncia Artificial written by Magaly Prado and has been published by Almedina Brasil this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-01 with Technology & Engineering categories.
Embora a disseminação de notícias falsas não seja um problema nascido no século XXI, o fenômeno das fake news preocupa especialmente o cidadão moderno, especialmente quando se leva em conta o quanto a Web e as redes sociais agravam o problema da disseminação em massa. Aquilo que antes podia ser uma fonte de democratização da informação hoje se presta a manipulá-la e distorcê-la, efetivamente ameaçando o processo democrático. O advento da inteligência artificial, ou AI, complexifica ainda mais essa relação dos dois lados da moeda: se temos os bots responsáveis pelos disparos em massa de desinformação, há também a esperança de que sistemas de inteligência artificial possam cumprir o papel de checagem de forma eficiente. A jornalista e pesquisadora Magaly Prado coletou uma imensidão de dados que nesta obra apresenta ao leitor com didática e análise crítica, conduzindo-o por esse dilema moderno, considerando inclusive possibilidades de superação ou abrandamento do problema. Embora a disseminação de notícias falsas não seja um problema nascido no século XXI, o fenômeno das fake news preocupa especialmente o cidadão moderno, especialmente quando se leva em conta o quanto a Web e as redes sociais agravam o problema da disseminação em massa. Aquilo que antes podia ser uma fonte de democratização da informação hoje se presta a manipulá-la e distorcê-la, efetivamente ameaçando o processo democrático. O advento da inteligência artificial, ou AI, complexifica ainda mais essa relação dos dois lados da moeda: se temos os bots responsáveis pelos disparos em massa de desinformação, há também a esperança de que sistemas de inteligência artificial possam cumprir o papel de checagem de forma eficiente. A jornalista e pesquisadora Magaly Prado coletou uma imensidão de dados que nesta obra apresenta ao leitor com didática e análise crítica, conduzindo-o por esse dilema moderno, considerando inclusive possibilidades de superação ou abrandamento do problema.
Combating Fake News With Computational Intelligence Techniques
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Author : Mohamed Lahby
language : en
Publisher: Springer Nature
Release Date : 2021-12-15
Combating Fake News With Computational Intelligence Techniques written by Mohamed Lahby and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-15 with Technology & Engineering categories.
This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.
Text And Social Media Analytics For Fake News And Hate Speech Detection
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Author : Hemant Kumar Soni
language : en
Publisher: CRC Press
Release Date : 2024-08-21
Text And Social Media Analytics For Fake News And Hate Speech Detection written by Hemant Kumar Soni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-21 with Computers categories.
Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speech on social media platforms. • Covers various approaches, algorithms, and methodologies for fake news and hate speech detection. • Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence. • Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. • Emphasizes the role of multilingual and multimodal processing to detect fake news. • Includes research on different optimization techniques, case studies on the identification, prevention, and social impact of fake news, and GitHub repository links to aid understanding. The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.
Misinformation And Disinformation
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Author : Victoria L. Rubin
language : en
Publisher: Springer Nature
Release Date : 2022-06-14
Misinformation And Disinformation written by Victoria L. Rubin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-14 with Technology & Engineering categories.
This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global ‘infodemic’. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals. Examines how artificial intelligence (AI) and psychology can aid in detecting mis-/disinformation and the language of deceit in digital media content; Suggests practical computational means to intervene and curtail the global ‘infodemic’ of fake news; Presents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.
Deep Fakes
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Author : Michael Filimowicz
language : en
Publisher: Routledge
Release Date : 2022-03-01
Deep Fakes written by Michael Filimowicz and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Social Science categories.
Deep Fakes: Algorithms and Society focuses on the use of artificial intelligence technologies to produce fictitious photorealistic audiovisual clips that are indistinguishable from traditional video media. For over a century, the indexical relationship of the photographic image, and its related media of film and video, to the scene of capture has served as a basis for truth claims. Historically, the iconicity of these images has featured a causal traceback to actual light rays in a particular time and space, which were fixed by chemical reactions or digital sensors to the resultant image. Today, photorealistic audiovisual media can be generated from deep learning networks that sever any connection to an actual event. Should society instantiate new regimes to manage this new challenge to our sense of reality and the traditional evidential capacities of the ‘mechanical image’? How do these images generate information disorder while also providing the basis for legitimate tools used in entertainment and creative industries? Scholars and students from many backgrounds, as well as policymakers, journalists and the general reading public, will find a multidisciplinary approach to questions posed by deep fake research from Communication, International Studies, Writing and Rhetoric.
Direito E Democracia Tecnologia Intelig Ncia Artifi Cial E Fake News
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Author : Rafael Alem Mello Ferreira
language : pt-BR
Publisher: Editora Dialética
Release Date : 2020-12-01
Direito E Democracia Tecnologia Intelig Ncia Artifi Cial E Fake News written by Rafael Alem Mello Ferreira and has been published by Editora Dialética this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-01 with Law categories.
A obra é resultado de trabalhos realizados sob coordenação do professor Dr. Rafael Alem Mello Ferreira no grupo de pesquisa em Direito e Democracia: Tecnologia, Inteligência Artificial e Fake News, do Programa de Pós Graduação em Direito da Faculdade de Direito do Sul de Minas. Os artigos desenvolvidos possuem como foco as principais temáticas hoje discutidas no Direito.
How Algorithms Create And Prevent Fake News
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Author : Noah Giansiracusa
language : en
Publisher:
Release Date : 2021
How Algorithms Create And Prevent Fake News written by Noah Giansiracusa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what's real and what's not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning--especially when it comes to discerning the truth and differentiating fact from fiction. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what's at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias - which gets amplified in harmful data feedback loops. Don't be afraid: with this book you'll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope. .
The Reality Game
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Author : Samuel Woolley
language : en
Publisher: Hachette UK
Release Date : 2020-01-09
The Reality Game written by Samuel Woolley and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-09 with Political Science categories.
THIS ISN'T AN EPISODE OF BLACK MIRROR. THIS. IS. THE. FUTURE. 'A mind-blowing and essential book for a future that's practically already here. This book scares the hell out of me, but if we listen to Woolley's wake-up call, then I also have hope.' Jane McGonigal, author of Reality is Broken The problem of online disinformation is only getting worse. Social media may well play a role in the US 2020 presidential election and other major political events. But that doesn't even begin to describe what future propaganda will look like. As Samuel Woolley shows, we will soon be navigating new technologies such as human-like automated voice systems, machine learning, 'deep-fake' AI-edited videos and images, interactive memes, virtual reality and augmented reality. In stories both deeply researched and compellingly written, Woolley describes this future, and explains how the technology can be manipulated, who might control it and its impact on political strategy. Finally, Woolley proposes strategic responses to this threat with the ultimate goal of empowering activists and pushing technology builders to design for democracy. We may not be able to alter how the internet was used to challenge democracy in years past but we can follow the signals to prevent manipulation in the future - and to use these powerful new tools not to control people but to empower them.
Detecting Fake News On Social Media
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Author : Kai Shu
language : en
Publisher:
Release Date : 2019-07-03
Detecting Fake News On Social Media written by Kai Shu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-03 with categories.
In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.
Data Science For Fake News
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Author : Deepak P
language : en
Publisher: Springer Nature
Release Date : 2021-04-29
Data Science For Fake News written by Deepak P and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Computers categories.
This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.