[Objective] This paper explores the relationship between personalities and information needs. [Methods] First, we constructed a personality classification model based on linguistic and behavioural characteristics. Then, we utilized key phrase extraction method, Jaccard text clustering, and ERG theory for mining information needs. Finally, we used a one-way analysis of variance and logistic regression analysis to examine the relationship between the public’s personalities and information needs. [Results] Public information needs encompass nine main themes: medical resources, prevention, symptoms, diagnosis and treatment, public symptom emotion sharing, emotional support, disease awareness, social impact, and epidemic development. We categorized the themes into three types: survival information needs, relational information needs, and growth information needs. Survival information needs were positively correlated with conscientiousness; relational information needs were positively related to extraversion and negatively related to neuroticism; growth information needs were positively related to neuroticism and agreeableness. [Limitations] This study does not consider the dynamic nature of information needs. Future studies could analyze the information needs at different stages of public health emergencies. [Conclusions] This paper can help government departments understand the public’s information needs and conduct targeted intelligent information disclosure and risk management.
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