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We present an approach for selecting objectively informative and subjectively helpful annotations to social media posts. We draw on data from on an online environment where contributors annotate misinformation and […]
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Drawing on bounded rationality theory, dual processing theory, and social identity theory, this study proposes a model of a three-stage news authentication strategy and further examines identity-driven news authentication strategy […]
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Existing echo chamber studies tend to focus on political attitudes within specific online platforms. We broaden this scope by examining social media use and attitudes within a real-world context that […]
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Among the Trump administration’s designs to dismantle much of the federal government is a reported decision to fire all probationary employees at National Institute of Standards and Technology (NIST), including […]
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Publicly accessible large language models like ChatGPT are emerging as novel information intermediaries, enabling easy access to a wide range of science-related information. This study presents survey data from seven […]
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The most influential Artificial Intelligence (“AI”) companies are shaping AI’s legal order and regulatory discourse to protect their business interests and shift focus away from how their practices harm human […]
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Political microtargeting practices aim at exposing social media users to political content that aligns with their preferences and interests. Hence, such exposure becomes a personal experience, dependent on individual perceptions. […]
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Source: Information ecosystem and troubled democracy – OID
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The rise of generative AI tools has sparked debates about the labeling of AI-generated content. Yet, the impact of such labels remains uncertain. In two preregistered online experiments among US […]
