Unpacking Instagram use: The impact of upward social comparisons on usage patterns and affective experiences in the wild

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Jiwan Kim , Doyoung Lee , Mingyu Han , Jaeho Kim , Vassilis Kostakos , Ian Oakley
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引用次数: 0

Abstract

Users of Social Networking Sites (SNS) often engage in social comparison, an experience that can elicit various affective responses. While previous studies have established important links between social comparison and emotion, the granularity and ecological validity of this work remains limited. To address this issue, we conducted a field study with 40 Instagram users. We unobtrusively recorded their Instagram usage patterns (e.g., time on site and the type of content consumed, such as feed, story, or message). Additionally, we used experience sampling methods and questionnaires to capture their affective experiences, social comparisons, and depression severity. Our results elucidate the interplay between these emotions, traits, and tendencies during Instagram use. Notably, we find that while passive or prolonged Instagram use affects users’ emotions, the magnitude of this effect depends on the frequency of users’ social comparisons. These results can inform the design of systems to improve mental well-being on SNS.

解读 Instagram 的使用:向上的社交比较对野外使用模式和情感体验的影响
社交网站(SNS)的用户经常进行社交比较,这种体验会引起各种情感反应。虽然之前的研究已经确定了社会比较与情感之间的重要联系,但这项工作的粒度和生态有效性仍然有限。为了解决这个问题,我们对 40 名 Instagram 用户进行了实地研究。我们以不显眼的方式记录了他们使用 Instagram 的模式(例如,在网站上停留的时间和消费的内容类型,如 feed、故事或消息)。此外,我们还使用经验取样方法和问卷调查来捕捉他们的情感体验、社会比较和抑郁严重程度。我们的研究结果阐明了这些情绪、特征和倾向在 Instagram 使用过程中的相互作用。值得注意的是,我们发现虽然被动或长时间使用 Instagram 会影响用户的情绪,但这种影响的程度取决于用户进行社交比较的频率。这些结果可以为设计系统提供参考,以改善 SNS 上的心理健康。
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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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