Support or Oppose:Formation Mechanism of Social Media Users'Opinions
Exploring the mechanism of social media users'opinion formation,and revealing the important factors influencing netizens'opinion formation can provide insights into the behaviour patterns of online users and the nature of online public opinion.Using Weibo posts on the topic of"double reduction"(namely,easing the burden of excessive homework and off-campus tutoring for students undergoing compulsory education)as the data source,this article explores users'opinions through a topic model and the sentiment analysis method based on machine learning.It creates feature variables from the perspectives of opinion atmosphere,social relationships,early behavioural characteristics and user attributes,and establishes emotion prediction models under different topics based on LightGBM.By ranking the importance of the features by means of SHapley Additive ExPlanations(SHAP),it discovers the essential factors that affect the formation of social media users'opinions.The study found that users'opinions are more likely to be influenced by the characteristics of early behaviour,followed by the opinion atmosphere,and that social relationships,i.e.friends,have a weak impact;individuals are more likely to follow larger social media influencers than to worship authority in terms of emotional tendencies.