The study aimed to develop and test the hypothesis about impact of fake news on public relations. A total of 404 subjects were sampled using purposive sampling method. Descriptive statistics is used to count the demographic characteristics. The reliability of collected data were initially tested with Cronbach’s alpha. Further, factor analysis was performed to extract desired information from designed questionnaire. Descriptive statistics shows that out of 404 respondents, 55.5% were female and 44.5% were male. Value of Cronbach’s alpha indicated the reliability of internal consistency for 5-point Likert scale (α = 0.933). Results of factor analysis supported the one-factor structure which explain up to 52.469% of the total variance, and the associated items had a lambda factor loading ranging from 0.522 to 1.016. High value of eigenvalue i.e. 10.891 confirmed the robustness of factor generated. The fake news on social media during Covid-19 had affect the public relations in China to a great extent.