Supporting opinions to fit in: a spiral of silence-theoretic explanation for establishing echo chambers and filter bubbles on social media

IF 5.9 3区 管理学 Q1 BUSINESS Internet Research Pub Date : 2025-01-17 DOI:10.1108/intr-03-2024-0413
Maximilian Haug, Christian Maier, Heiko Gewald, Tim Weitzel
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Abstract

Purpose

Social media communities contain like-minded members who disclose opinions about various topics that are important to them. These communities often function as echo chambers, filter bubbles or separate spaces for users to share conforming opinions and discredit others deliberately. In extreme cases, they build their alternative reality with limited information that can lead to real-world action, as seen in the storming of the capitol. Therefore, we need to better understand the mechanisms of opinion disclosure in such communities.

Design/methodology/approach

We base our research on the spiral of silence theory to understand both trait-based and state-based fear of isolation as the mechanism that prevents opposing opinions in three scenarios focusing on topics dominating the mainstream US media landscape at that time: immigration, presidential election and COVID-19. We recruited 164 participants from an online research platform and analyzed the data using structural equation modeling.

Findings

Our results reveal empirical evidence that state-based fear of isolation prompts community members to express agreement and support for the community’s opinion, regardless of their views. We show that hot-button issues impose an even greater danger of establishing an environment in online communities that becomes an echo chamber of filter bubbles.

Originality/value

The spiral of silence theory provides a fine-grained understanding of the concept of fear of isolation, which was either used as a trait or as a state. Furthermore, we go beyond the initial hypotheses of the spiral of silence and show that within online communities, members stay silent and start to argue against their own opinions.

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支持意见:关于在社交媒体上建立回音室和过滤气泡的沉默理论解释
社交媒体社区包含志同道合的成员,他们会就各种对他们重要的话题发表意见。这些社区通常起到回音室、过滤气泡或分离空间的作用,供用户分享一致的意见,并故意诋毁他人。在极端情况下,他们用有限的信息构建自己的另类现实,而这些信息可能导致现实世界的行动,就像我们在国会大厦的风暴中看到的那样。因此,我们需要更好地了解这些社区的意见披露机制。设计/方法/方法我们的研究基于沉默的螺旋理论,以理解基于特质和基于国家的孤立恐惧作为阻止反对意见的机制,这些机制集中在当时主导美国主流媒体景观的三个场景中:移民、总统选举和COVID-19。我们从一个在线研究平台上招募了164名参与者,并使用结构方程模型对数据进行分析。研究结果揭示了经验证据,表明基于国家的对孤立的恐惧促使社区成员表达对社区意见的同意和支持,而不管他们的观点如何。我们表明,热点问题带来了更大的危险,即在网络社区中建立一个成为过滤气泡回音室的环境。独创性/价值沉默的螺旋理论提供了对恐惧孤立的概念的细致理解,它要么被用作一种特征,要么被用作一种状态。此外,我们超越了沉默螺旋的最初假设,并表明在在线社区中,成员保持沉默并开始反对自己的观点。
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来源期刊
Internet Research
Internet Research 工程技术-电信学
CiteScore
11.20
自引率
10.20%
发文量
85
审稿时长
>12 weeks
期刊介绍: This wide-ranging interdisciplinary journal looks at the social, ethical, economic and political implications of the internet. Recent issues have focused on online and mobile gaming, the sharing economy, and the dark side of social media.
期刊最新文献
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