Influencing Factors on College Students' Willingness to Spread Internet Public Opinion: Analysis Based on COVID-19 Data in China

Abstract

Following COVID-19 outbreak, Internet public opinion has tended to proliferate. From a theoretical perspective, however, the spread law of Internet public opinion in major epidemic prevention and control may provide optimization strategies on how best to channel Internet public opinion. Specifically, this article aims at exploring key factors affecting our theoretical understanding on the spread of Internet public opinion on a major epidemic situation amongst college students. A questionnaire survey on college students was conducted via online research data collection platform located in Changsha, China, amassing three hundred and nineteen valid questionnaires. Smart PLS was applied to verify a theoretical model vis-à-vis the reliability and validity of the measuring instrument. Results show that adult attachment and social motivation have significant positive influences on the consciousness of social participation. Evidently, adult attachment, emotional orientation and risk perception also have significant positive influences on emotional motivation. Emotional motivation plays a mediating role in the relationship between affective disposition and dissemination willingness. Additionally, social motivation, consciousness of social participation and emotional motivation significantly influence one's dissemination willingness in a positive way. The consciousness of social participation plays a mediating role in the relationship between social motivation and dissemination willingness. Social motivation plays a moderating role in the relationship between risk perception and dissemination willingness. Altogether, theoretical rationalization to enhance understanding and guide the initiation and spread of Internet public opinion of major public health emergencies accurately has now been provided by this work.

Microblog Public Opinion Communication Analysis Based on Data Mining

“…[10] Secondly, we should pay attention to the dredging and guidance of Internet public opinion, take the initiative to listen to the voice of the people through the Internet, conduct equal dialogue with netizens, and treat netizens sincerely; finally, it is necessary to strengthen the coordination among all government departments, speak out in a unified manner, and strengthen the ability to respond to non-routine emergencies at the network level. [11]…”

Exploring the inherent mechanism of residents’ participation behavior in neighborhood regeneration projects: an empirical study using an extended IMB model in China

“…In addition to individual factors, the influence of social factors on residents' willingness has also been widely discussed. Social factors are related to residents' interactions with others, of which social motivation are the most frequently discussed Ye et al, 2022). Many researchers have conceptualized how social motivations affect people's willingness and behaviors in different ways.…”

“…Residents' participation behaviors are somehow stochastic and uncertain, influenced by both individual factors, social factors, and external factors. Although some studies have tried to examine the factors influencing residents' participation behavior from the individual (i.e., information received by residents, participation willingness or behavior skills) or social (i.e., interaction between residents) perspective (Hilvert-Bruce et al, 2018;Dessart et al, 2019;Ye et al, 2022), there is still a lack of a unified framework for considering all these factors in a holistic manner. The informationmotivation-behavioral (IMB) model, a well-established model in the behavioral sciences that explains the influence of internal personality and interpersonal relationships on human behavioral decisions, provides a viable research framework for addressing this issue.…”

Profiles of digital health literacy among university students and its association with mental health during the COVID-19 pandemic: A latent profile analysis

“… 16 , 17 A study revealed that 95.8% of Chinese university students obtained information about the COVID-19 pandemic through new media platforms such as WeChat and Weibo. 18 Some studies have claimed that university students rely more on personal decision-making and life circumstances than on parental or adult guidance. 19 , 20 This highlights the need for this population to possess sufficient digital health literacy.…”