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Deepfakes pose significant challenges to information credibility and user discernment. While public and scholarly interest in deepfakes has grown, little is known about the cognitive processes that shape individuals’ judgments […]
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This study explores the role of health influencers on X (formerly Twitter) in promoting N95 respirators, with a focus on the accuracy and completeness of the information shared. It evaluates […]
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While social media has been a catalyst for mental health awareness, the unregulated dissemination of information by influencers lacking mental health expertise, perpetuates misinformation. Youth commonly self-diagnose mental health conditions […]
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Disinformation often features reputable sources to boost false information’s credibility, but does this deceptive source misattribution shape its spread on personal messaging? In a preregistered between-subjects survey experiment on U.K. […]
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This Element takes on two related questions: How do the media cover the issue of misinformation, and how does exposure to this coverage affect public perceptions, including trust? A content […]
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This article presents a comparative analysis of the ability of two large language model (LLM)-based chatbots, ChatGPT and Bing Chat, recently rebranded to Microsoft Copilot, to detect veracity of political […]
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The selection of information by individuals is a basic process in democratic institutions, including journalism. Publishers attempt to attract readers with “curiosity gap” headlines that offer vague descriptions rather than […]
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Use of conversational artificial intelligence (AI), such as humanlike social chatbots, is increasing. While a growing number of people is expected to engage in intimate relationships with social chatbots, theories […]
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This study examined whether accuracy nudges and content veracity labels enhance people’s discernment in believing and sharing true versus false news. Participants in the United Kingdom, the United States, and […]
