Detecting Conspiracy Theories on Social Media - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Detecting Conspiracy Theories on Social Media write by William Marcellino. This book was released on 2021. Detecting Conspiracy Theories on Social Media available in PDF, EPUB and Kindle. Using linguistic and rhetorical theory, researchers developed an improved model of machine-learning technology to detect conspiracy theory language. This report describes the results and suggests ways to counter effects of online conspiracy theories.
Automated Conspiracy Theory Detection and Narrative Consensus Tracking in Social Media
Automated Conspiracy Theory Detection and Narrative Consensus Tracking in Social Media - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Automated Conspiracy Theory Detection and Narrative Consensus Tracking in Social Media write by Shadi Shahsavari. This book was released on 2022. Automated Conspiracy Theory Detection and Narrative Consensus Tracking in Social Media available in PDF, EPUB and Kindle. A longstanding grand-challenge problem in AI is to build machines that are able to think and interact like humans do. A specific embodiment of this problem is a generalization of the cocktail party problem encountered in signal processing and blind signal separation: If an AI agent were to drop in at a crowded cocktail party then can it separate out and reconstruct the different underlying stories and narratives being discussed from a mixture of fragments of all the on-going conversations. Such a problem has taken on a renewed urgency: Narratives play a defining role in influencing critical decisions and worldviews of both the society at large and individuals, but the continual emergence of a multitude of conflicting narratives -enabled by large-scale adoption of social media- has created a global emergency, where the basic tenets of civil society and governance are being increasingly compromised. These narratives, some of which can be labeled as conspiracy theories, are composed of numerous characters connected by semantically diverse relationships situated in multiple and overlapping contexts. Injecting false facts happens in the context of such discussions, and solving such a misinformation problem is beyond a supervised classification task in natural language processing (NLP). In this dissertation, we develop a pipeline of interlocking computational and statistical modules - based on NLP tools and complex network theories- to extract meaningful narrative networks by distilling millions of social media posts. We develop a framework for semantic parsing of such narrative graphs (e.g. who are outsiders, their motivations and threats, and strategies of insiders) and evaluate the quality of these automatically derived communities in different ways. This framework takes a step towards enabling human-smart AI, where it can view the world as a human would.
Detecting Fake News on Social Media
Detecting Fake News on Social Media - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Detecting Fake News on Social Media write by Kai Shu. This book was released on 2019-07-03. Detecting Fake News on Social Media available in PDF, EPUB and Kindle. This book is an accessible introduction to the study of detecting fake news on social media. The concepts, algorithms, and methods described in this book can help harness the power of social media to build effective and intelligent fake news detection systems. In the past decade, social media is becoming 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 that is attracting tremendous attention. From a data mining perspective, this book introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates advanced settings of fake news detection on social media. In particular, the authors discuss the value of news content and social context, as well as important extensions to handle early detection, weakly-supervised detection, and explainable detection. This is 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.
The Psychology of Conspiracy Theories
The Psychology of Conspiracy Theories - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Psychology of Conspiracy Theories write by Jan-Willem Prooijen. This book was released on 2018-04-09. The Psychology of Conspiracy Theories available in PDF, EPUB and Kindle. Who believes in conspiracy theories, and why are some people more susceptible to them than others? What are the consequences of such beliefs? Has a conspiracy theory ever turned out to be true? The Psychology of Conspiracy Theories debunks the myth that conspiracy theories are a modern phenomenon, exploring their broad social contexts, from politics to the workplace. The book explains why some people are more susceptible to these beliefs than others and how they are produced by recognizable and predictable psychological processes. Featuring examples such as the 9/11 terrorist attacks and climate change, The Psychology of Conspiracy Theories shows us that while such beliefs are not always irrational and are not a pathological trait, they can be harmful to individuals and society.
Detecting Fake News on Social Media
Detecting Fake News on Social Media - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Detecting Fake News on Social Media write by Kai Shu. This book was released on 2022-05-31. Detecting Fake News on Social Media available in PDF, EPUB and Kindle. 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. The readers are encouraged to visit the book website for the latest information: http://dmml.asu.edu/dfn/
