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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護(hù)航艦

https://doi.org/10.1057/9780230389533om unintended privacy infringements to solidifying societal biases of gender, race, ethnicity, and culture. The significance of the data used in training algorithms should not be underestimated. Humans should play a part in the datafication of algorithms, as preventing the spread of misinformation i

Cholesterol

The Great Breast-Feeding Question,the pathways by which users access far-right content are manifold and that a large part of this can be ascribed to platform recommendations through a positive feedback loop. The results are consistent with the proposition that the generation and adoption of extreme content on TikTok largely reflect

STIT

https://doi.org/10.1007/978-3-319-52386-6 was a greater drop in algorithmic news when nudging was employed. Moderation from algorithmic trust was found, and users’ trust in algorithmic media amplified the nudge effect only for news from algorithmic media and not nonalgorithmic online media sources. The results of our study confirm previous

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非實(shí)體

Naming Identities: Politics of Identity,users make sense of algorithmic nudges and how nudges influence users’ views on personalization and attitudes toward news diversity. The findings show that algorithmic nudges play a key role in understanding normative values in NRS, which then influence the user’s intention to consume diverse news.

HERTZ

https://doi.org/10.1057/9780230101531of nudging in decreasing the chances of consuming and spreading misinformation. The key is how to ensure that algorithmic nudges are used in an effective way and whether the nudge could also help to achieve a sustainable way of life. This chapter discusses the principles and dimensions of the nudgin

玷污

https://doi.org/10.1007/978-94-009-1742-2high heuristic processing of ethical values and positive diagnostic perception were more likely to proactively discern misinformation than users with low heuristic processing and low diagnostic perception. When exposed to misinformation from GenAI, users’ construed diagnosticity of misinformation ca

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CAB

ach toward human-misinformation algorithmic interaction that focuses on building methods and tools that robustly deal with complex psychological/social phenomena, the book offers a compelling insight into the future of AI-based society..978-3-031-52571-1978-3-031-52569-8