According to the latest report by Sina Weibo's trending list, an increasing number of individuals acquire information about COVID-19 through the list. Simultaneously, this paper notice a large amount of topics concerning health emerge on the list. From October 2021 to March 2022, 139 health related- topics appeared on the list, these include "Expert recommends that the best time to fall asleep is between 10 and 11"  and "A 22 years old boy who always stays up late and has a cold was diagnosed as uremia."

The Extended Parallel Process Model indicated that people assess risk according to perceived threat and perceived efficacy, it also stressed the significance of telling the public strategies and threats rather than threats only in health communication. While Western online social networks such as Twitter have been well studied, researches in China about the role of Sina Weibo in health communication is underdeveloped. Therefore, the objective of this study is to examine the disparate effects of sleep-related topics and their relevant contents on Sina Weibo's trending list on transformation of people's attitudes toward sleep as well as finding out the demographic factors that may impact attitude alternation.

Using classical experimental design and with demographic statistics gathering beforehand, this empirical research will firstly conduct a pretest assessing each test unit's knowledge, beliefs and behaviors concerning sleep. People's knowledge about sleep will be assessed through items like "Please answer the following question: What will brain do during the sleep? What is the best period of time to fall asleep?". Their behavior will be assessed by answering multiple choices like "How often do you fall asleep before 11 p.m."  and "How long do you browse your phone before sleeping?". The beliefs about personal risk and threat on staying up late and pernoctation will be assessed using item scale adapted from Liau et al(1998). and Fan et al.(2018). The items include descriptions like "The possibility of sudden death due to staying up late concerns me", participants responded to each item on a 5-point Likert-type scale where 1=strongly disagree to 5= strongly agree.

Then, the subject will be randomly divided into an experimental group and a control group, the control group read topics and contents only informing threats whereas the experimental group read the topics and contents comprising threats and strategies. After reading, a posttest using the same questionnaire will be delivered.

Based on the preceding review and rationale, this paper propose the following hypotheses:

Hypothesis 1: People are more willing to change their attitude towards sleep after being acknowledged threats and strategies than only threats.

Hypothesis 2: People with higher education have a higher intention to change their attitude.

To test the above hypotheses, the data will be processed in the SPSS. The research is now in the process of refining the questionnaire through a pretest before the whole experiment.