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How message senders' emotions and communication capacity influence public responses to autonomous driving in the context of regional new energy vehicle penetration
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DOI：10.1016/j.trf.2026.103596.png)
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Abstract
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Positive public responses provide the societal foundation for the large-scale deployment of autonomous driving (AD). Understanding how emotional messages affect public responses is crucial for accelerating AD implementation and optimizing policy guidance. Drawing on 557,523 social media posts, this study applies deep learning and panel data regression to explore how message senders' emotions influence public responses to AD, considering message communication capacity and new energy vehicle (NEV) penetration as important contextual factors. Results show that public responses to AD can be categorized into private (trust, usage) and public (support, mobilization) domains. Message senders' emotions are positively associated with message communication capacity, and message communication capacity is positively related to public domain responses but negatively related to private ones, suggesting that emotional appeals are more effective in stimulating social mobilization than in encouraging personal adoption. NEV penetration reflects regional readiness and public familiarity with intelligent mobility. As NEV penetration increases, the association between emotions and public responses shifts from positive to negative and then to a weaker positive pattern. This study provides empirical evidence that can inform targeted strategies to promote AD and enhance public engagement, offering new insight into public responses during the transition to intelligent transportation.
Keywords:
Autonomous driving
Emotion
Communication capacity
New energy vehicle penetration
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