Titlebook: Artificial Misinformation; Exploring Human-Algo Donghee Shin Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive lic

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Introduction: The Epistemology of Misinformation—How Do We Know What We Know it seems that artificial intelligence (AI) is the primary conduit for it. . for misinformation that can do good—but also worsen misinformation. Advances in machine learning and algorithms have brought to life a highly effective method for conveying misinformation. In the midst of a “misinfodemic,”

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Misinformation and Algorithmic Biassed as humans are. Bias can originate from various venues, including but not limited to the design and unintended or unanticipated use of the algorithm or algorithmic decisions about the way data are coded, framed, filtered, or analyzed to train machine learning. Algorithmic bias has been widely see

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Misinformation Processing Model: How Users Process Misinformation When Using Recommender Algorithms the spread and amplification of misinformation, it is useful to understand the effects of these algorithms on misinformation sharing and the manner in which they spread it. This chapter examines the psychological, cognitive, and social factors involved in the processing of misinformation people rec

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Misinformation and Diversity: Nudging Away from Misinformation Nudging Toward Diversityss to mitigate misinformation. Free and plural ideas are key to addressing misinformation and informing users. A key indicator of the healthy online ecosystem is the existence of diversity of ideas and others’ perspectives. Exposure to diverse sources of news promotes tolerance, social cohesion, and

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Misinformation, Paradox, and Nudge: Combating Misinformation Through Nudgingcomputer interaction has contributed a mechanism of such biases that can be addressed by the design of system interventions. For example, the principle of nudging refers to sophisticated modifications in the choice architecture that can change user behaviors in desired or directed ways. This chapter

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