Artificial intelligence can be a force of good in the world if managed correctly. It also has the potential to be a highly divisive, dangerous force if managed incorrectly. Currently, AI is a large contributor to misinformation by allowing the rapid creation of fake websites, articles, and users.
This open access book deconstructs the core features of online misinformation and disinformation. It finds that the optimisation of emotions for commercial and political gain is a primary cause of false information online. The chapters distil societal harms, evaluate solutions, and consider what must be done to strengthen societies as new biometric forms of emotion profiling emerge. Based on a rich, empirical, and interdisciplinary literature that examines multiple countries, the book will be of interest to scholars and students of Communications, Journalism, Politics, Sociology, Science and Technology Studies, and Information Science, as well as global and local policymakers and ordinary citizens interested in how to prevent the spread of false information worldwide, both now and in the future.
The Encyclopedia of Fakery is a compendium of misinformation, deception, and self-delusion throughout history. The lens is wide--fakery is examined in the context of science and advertising, humor and law, sports and video games. Entries span eclectic topics: Artificial Intelligence, Auto-Tune, Chilean Sea Bass, Clickbait, Cognitive Dissonance, Cryptids, False Flag Operations, Gaslighting, Gerrymandering, Kayfabe, Laugh Tracks, Milli Vanilli, P.T. Barnum, Photoshopping, Potemkin Villages, Rachel Dolezal, Strategery, Truthiness, and the Uncanny Valley. From A to Z, this is the definitive guide to how we are tricked, and how we trick ourselves.
This book explores computational models of argumentation, a field merging traditional disciplines like philosophy and linguistics with computer science and engineering. It showcases the proceedings of COMMA 2022, featuring 27 regular papers and 16 demo papers selected from 75 submissions. The contributions span theoretical advancements in formal models, computational properties, and system design, as well as practical applications in law, machine learning, and explainability. Key themes include abstract and structured accounts of argumentation, evaluations of arguments, and the emergence of probabilistic evaluation methods. It serves as a comprehensive resource for researchers and practitioners in the field of computational argumentation.