There are widespread fears that conversational artificial intelligence (AI) could soon exert unprecedented influence over human beliefs. In this work, in three large-scale experiments ( = 76,977 participants), we deployed 19 large language models (LL...
This work intends to explore the effectiveness of a dual-track cultivation model for ideological and political literacy in vocational colleges driven by artificial intelligence deep learning models. This work compares the performance of different mod...
Vaccine hesitancy threatens to erode one of medicine's greatest achievements. Recent measles outbreaks in Europe and the United States illustrate the consequences of declining confidence. At the centre lies misinformation, amplified through digital n...
In the context of the digital transformation of ideological and political education (IPE) in the new era, this study explores the interdisciplinary integration of red music and intelligent recommendation technologies. An intelligent deep learning mod...
This paper introduces the largest and most comprehensive dataset of US presidential campaign television advertisements, available in digital format. The dataset also includes machine-searchable transcripts and high-quality summaries designed to facil...
This paper presents the findings of the research aimed at investigating the influence of visual content, posted on social media in shaping users' sentiments towards specific sociopolitical events. The study analyzed various sociopolitical topics by e...
The emergence of large language models (LLMs) has made it possible for generative artificial intelligence (AI) to tackle many higher-order cognitive tasks, with critical implications for industry, government, and labor markets. Here, we investigate w...
Proceedings of the National Academy of Sciences of the United States of America
May 2, 2025
Despite its importance to society and many decades of research, key questions about the social and psychological processes of political persuasion remain unanswered, often due to data limitations. We propose that AI tools, specifically generative lar...
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