unive_sity_students_fashion_selection_c_ite_ia_including_desi_e_of

Abstract: This paper has two function. The first goal is to establish how many people (college students) have a need for approval, and from who they want to get approval. The second goal is to make clear what selection criteria are there for others to approval the students' fashion. As the strategy, a questionnaire survey was performed, and issue analysis was carried out using the responses of the subjects. The end result was that 72.5 % of the scholars wished approval. They wanted to feel recognized at style by their close mates and their SNS followers. The selection criteria for gadgets associated to style are as follows. Male university students' trend selection standards have been “look good”,“pleasure” and “sense”. The factors for feminine university students to decide on style had been “look good”,“cuteness” and “self-worth”. Among the vogue choice criteria, the “cuteness” criterion is a characteristic of feminine students. It suggests that they need to appear cute to others. As a way to be authorized by others, the components listed above are extra essential than the price.

Despite the significance of social community websites (SNSs) in addressing emerging public health risks, there continues to be a relative lack of research examining the results of risk communication via SNSs on threat perceptions and preventive behaviors. Based on message expression- and reception-effects paradigms, this research goals to explore how expressing and receiving risk information shape preventive behavioral intentions by way of risk perceptions. Given the differential nature and functionality of SNSs, the current investigation also examines whether or not expressing and receiving threat information through two several types of SNSs-Facebook and Twitter-have totally different effects on danger perceptions and behavioral intentions. Analyzing survey knowledge from 1,152 South Korean adults in the context of high-quality dust hazards, this research found that expressing and receiving risk info not solely affected danger perceptions but in addition instantly or not directly influenced preventive behavioral intentions. As well as, the results of expressing and receiving threat info were differentiated between SNS platforms, particularly Facebook and Twitter.

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