[雙語翻譯]--微信相關(guān)外文翻譯--大學(xué)生微信用戶使用習(xí)慣的研究（原文）

1、Study on WeChat User Behaviors of University GraduatesDong-lu Song College of Communication and design, Sun Yat-sen University,Guangzhou, China Stefanielu1120@gmail.com Yu-jia Wang School of Journalism and Communication

2、, South China University of Technology Guangzhou, China 931981123@qq.com Fang You* College of Arts And Media, Tongji University,Shanghai,China youfang@#edu.cn *Corresponding author ABSTRACT WeChat was published i

3、n China by Tencent company since Jan. 21st?2011. After 100 million users in Mar. 2012, Tencent announced that the number of WeChat’s users reached 300 million in Jan 15th 2013. WeChat has become one of the most heate

4、d topics within the last 2 years and its every move is attracting attention from various academia, industries, and enterprises. This study selected 50 university graduates as object and analyzed their WeChat using p

5、atterns through investigation and survey with statistic methods. The author designed the methods of user study and invited users to participate in the user study at first. Second, by using the collected data from univ

6、ersity graduates from 2013 to Mar 2014, the author analyzed the quantities and composition of their contacts in WeChat; figured out the source, type and goal of the public platform they are following; recorded the tim

7、e, type, form and time relativity of their first 100 posts in the “Moments” function. Through analyzing the data, the author intended to study the real situation in which university graduates virtually socialize and

8、 communicate with each other using WeChat and the popularity of WeChat on building social network with strangers. Also, this paper has certain contribution to how to improve the function and service of WeChat. What’s

9、 more, it analyzed both positive and negative influence of WeChat on students’ socialization. Categories and Subject Descriptors K.4.3 Computing Milieux: Computers and Society: Organizational Impacts: Computer-Support

10、ed Collaborative Work General Terms Experimentation, Human Factors, Measurement Keywords WeChat?university graduates?user study?networking social behavior 1. INTRODUCTION One type of online application that has grown

11、 rapidly in prevalence and popularity in recent years is social networking on the Internet [1]. The main reason people join social networking services (SNS) such as Facebook, Twitter, and Myspace is to connect with

12、 friends, family members, colleagues, and acquaintances [2]. As computing moves from personal computers (PCs) onto mobile devices such as smart phones and tablets, the chat app has emerged as a highly disruptive te

13、chnology [3]. Thus, mobile instant message (MIM) tools have become popular, particularly among young people. Walton explained that a key factor behind the success of MIM tools such as WhatsApp has been the enormous r

14、each of the mobile Internet [3]. The nature and intent of MIMs tend to be more social, informal, and conversational in nature. They are viewed as extensions of the user’s physical self and are such a crucial part of o

15、ne’s identity that many people claim they are inseparable parts of life [4]. Moreover, they are considered as indicators of social status and power rather than solely fashionable items. Modern society has witnessed a

16、fierce competition of MIM tools such as WhatsApp, TalkBox, LINE, and Kik in foreign countries; Mi Talk from Mobile Internet; FeiLiao, YiLiao, and WoYou from the three major telecom operators in China; LaiWang from Al

17、ibaba Group; and YiXin, which was jointly developed by NetEase and China Telecom. Although cost significantly affects peoples’ frequency of usage, social influence is one of the main reasons for today’s migration to s

18、uch MIM applications [5]. In China, WeChat is the most successful mobile Internet application product of Tencent and is the fastest growing application in the history of the Internet. Concerning the functionality, WeC

19、hat has changed the traditional way of communication so that millions of people are able to communicate conveniently [6]. After version 4.0, WeChat began to support social networking via shared streaming content feed

20、s and location-based social plug-ins, or location-based services (LBS), known as Shake, People Nearby, and Drift Bottle. This paper discusses the using pattern of mobile social networking tools among university gradua

21、tes, studying on WeChat, the most popular one in China. Overall this paper adds to a growing body of related work on how SNS in China influences university students’ social patterns and hope the results of this study

22、can help designers improve the user experience of mobile SNS. 2. PURPOSES 17 users have 100 to 150 contacts, occupying 34% of total; half of users have 50 to 100 contacts; only 2 users have less than 50 contacts in We

23、Chat Contacts. Fig.2. Proportion of users’ contacts number in WeChat There are various sources of friends in the 50 users’ WeChat Contacts, such as classmates, teachers, workmates, strangers encountered during travel,

24、clothes shop owners, introduced by friends, online game partner and people nearby. According to the classification in Section 2, “People encountered in social activities or daily life” are those of weak social ties, i

25、ncluding people met on a subway, owner of the cafe one used to study at, etc. In figure 3, the scatter diagram describes the component ratio of friends in Contacts, made by MATLAB. The fitting curve of 50 users was pr

26、oduced to show the general state of Contacts constitute. The scatter diagram illustrates that “University alumni” makes up the largest part of contacts and the fitting curve reaches its peak at the “University alumni”.

27、 It is highly possible for that WeChat has just been popular for these two years and all users invited in this user research are university students. The proportion of “High school alumni” and “Middle alumni” are rela

28、tively high, the most among which are 42.2% and 29.1%, respectively. Quite a few users have no friends in the “Work or internship mate” classification while some users have a lot because of different personal circums

29、tances. But the fitting curve shows that the overall level of this kind is relatively low. More interestingly, all users in this study have family members in their Contacts, the most of which contains 15 family member

30、s in the WeChat Contacts. 26 users add their teachers in WeChat, which means that WeChat facilitates students to communicate with teachers. Besides, the number of web friends in WeChat Contacts (maximum 14.5%) is big

31、ger than those added by those of Wechat People Nearby and Shake, and most users in this research have never used Wechat People Nearby, Shake or Drift Bottle to meet new friends. Fig.3. Proportion of the number of frie

32、nds in different categories Among the 50 users in this user research (25 male and 25 female), 12 users used People Nearby to add friends, which accounts for about 24% of total, only one of whom is female. 5 users used