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基于内容分享的青年用户社交媒体组合研究

Research on the Social Media Repertoire of Young Users from a Content-Sharing Perspective

作者:李唯嘉
  • 学号
    2017******
  • 学位
    博士
  • 电子邮箱
    liw******com
  • 答辩日期
    2021.05.28
  • 导师
    杭敏
  • 学科名
    新闻传播学
  • 页码
    195
  • 保密级别
    公开
  • 培养单位
    067 新闻学院
  • 中文关键词
    社交媒体组合,青年用户,内容分享,多元平台
  • 英文关键词
    Social Media Repertoire,Young User, Content Share,Multiple Platforms

摘要

“分享”是网络社会的核心文化之一,作为社交媒体的主力军,年轻人往往在不同的社交平台上分享不同的内容,扮演不同的人设。研究的核心问题是:青年群体如何在多元的社交媒体平台中进行内容分享?本文所研究的“分享”,关注的是在社交平台中所进行的状态更新,即年轻人究竟在这些社交平台中怎样发布内容。研究通过半结构深度访谈以及问卷调研的方式进行数据收集,以“结构化”理论为基本框架,采用“媒介二重性”以及“适应性信息技术使用”等中观及微观理论,从“基本图景”、“影响因素”以及“配置策略”三个方面回应这一问题。“基本图景”旨在描绘青年群体“社交媒体组合”的使用方式。研究依据所分享的内容,将用户的“社交媒体组合”划分为“差异型组合”和“联动型组合”两个类型;依据内容分享的频率,将用户的“社交媒体组合”划分为“①微信朋友圈-微博集中型分享②中频全面型分享③短视频型分享④高频全面型分享”。此外研究发现,社交媒体已经被镶嵌进了青年群体的日常生活,媒介与生活的区隔正在消失。用户往往不由自主地用现实的物理场景,去形容社交媒体带给自己的使用体验。围绕“影响因素”的探讨以“媒介二重性理论”为基础,采用定性和定量相结合的混合研究方法,从“结构性因素”和“个体性因素”去探讨这一问题。首先,研究以上述四种“社交媒体组合”类型作为因变量,基于前人的测量指标,用定量的方式分析影响媒介组合形成的因素,数据显示“时间”、“教育”以及“习惯”在组合的形成中具有关键作用。其次,研究回归到理论层面,将“结构性因素”拆解为“规则”和“资源”两个维度,并从“需求”角度对“个体性因素”做进一步探讨。在此基础上,通过对访谈资料的分析,来具体回应如何理解媒介选择中的“规则”、“资源”以及“需求”,从而搭建影响用户社交媒体组合形成的整合模型。围绕“配置策略”的探讨以“适应性信息技术使用”理论为指导,从“关系”和“内容”两个维度上分析青年用户对社交媒体组合的配置策略,研究发现用户会对社交媒体的使用方式进行“再定义”,生产者和使用者共同书写着社交媒体使用的规则。在研究的最后,笔者回归到媒介生产端,以期通过对用户媒介消费行为的分析,为媒介生产带来启发。

“Sharing” is one of the core cultures of the Internet Society. As the main force of social media,young people often share different contents and play different personas on different social platforms.The central question is: How young people share content on multiple social media platforms? The "Sharing"in this article focuses on the status updates that occur on social platforms, that is, what young people post on those platforms. The study collected data through semi-structured in-depth interview and questionnaire survey, using “Structuration Theory” as the basic framework, using the medium-level concepts and microcosmic theories such as “Media duality” and “Adaptive IT use”, this paper responds to this problem from three aspects: “Basic picture”, “Influence factor”and “Using strategy”.The “Basic Picture” aims to describe the way young people use the “social media repertoire”. According to the content shared, the user’s “social media repertoire” is divided into two types: “differential combination” and “connected combination”; according to the frequency of content sharing, the user’s “ocial media portfolio” is divided into ①WeChat Moments-Weibo centralized sharing ②intermediate frequency comprehensive sharing ③short video sharing ④multiple comprehensive sharing. In addition, social media has been embedded into the daily lives of young people, and the gap between media and life is disappearing. The study found that users can’t help but use real world physical scenarios to describe the experience social media brings them.The discussion around “influencing factors” is based on the “Duality of Media Theory”, using a combination of qualitative and quantitative research methods to explore this issue from “structural factors” and “individual factors”. First of all, the four types of social media repertoires are used as dependent variables to analyze the factors that influence the formation of media combination, the data show that “Time”, “Education” and “Habit” play a key role in the formation of the combination. Secondly, the research returns to the theoretical level, breaks down the "Structural factors"into two dimensions of “Rules” and “Resources”, and further discusses the “Individual factors” from the perspective of “Demand”, on this basis, based on the analysis of the interview data, this paper makes a concrete response to how to understand the “Rules”, “Resources” and “Needs” in media selection, and then constructs an integration model that affects the composition of users’social media repertoire.Guided by the theory of “Adaptive information technology use”, this paper focuses on the “Configuration strategy”, and analyzes the user’s configuration strategy on the combination of social media from two dimensions of “Relationship” and “Content”, the study found that users are “Redefining” their use of social media, and producers and users are writing social media rules together.At the end of the study, the author returns to the media production end, in order to bring enlightenment to media production through the analysis of user’s media consumption behavior.