Public opinion participation in decision-making: Mechanisms by which information and emotion influence information behavior and the moderating effects of user credibility

Principal Investigator(s):  View help for Principal Investigator(s) Na Wang

Version:  View help for Version V2

Name File Type Size Last Modified
Experimental data for regression analysis.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 8.1 MB 05/29/2026 02:03:AM
Initial data from Weibo.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 14.8 MB 05/10/2024 04:56:AM

Project Citation: 

Wang, Na. Public opinion participation in decision-making: Mechanisms by which information and emotion influence information behavior and the moderating effects of user credibility. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-05-29. https://doi.org/10.3886/E212361V2

Project Description

Summary:  View help for Summary Initial data from Weibo：Using Python language, with “nuclear contaminated water” as the key word and the time range set from August 22, 2023 to September 5, 2023, data collection was carried out on Weibo (www.weibo.com), resulting in 61,027 original Weibo posts. The collected data include user name, user authentication type, content of the post, number of likes, number of comments, and number of forwards. 
 Experimental data for regression analysis：Information topic and emotional response variables extracted from 56,663 Weibo posts about “Japan's announcement of nuclear contaminated water discharge” based on LDA model and emotion analysis, and analyzed the relationship between them and three information behaviors. User credibility was quantified through a point-based system：Blue V certified users receiving 5 points, Gold V certified users receiving 4 points, Orange V certified users receiving 3 points, and un-certified users receiving 0 points. 



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V2 [2026-05-29]

V1 [2024-12-02]

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