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算法支配下抖音歌唱主播的情感劳动与心理异化研究
Research on Emotional Labor and Psychological Alienation of TikTok Singing Hosts under the Control of Algorithms

DOI: 10.12677/ap.2024.1412893, PP. 352-358

Keywords: 抖音,歌唱主播,情感劳动,心理异化,算法机制
TikTok
, Singing Anchors, Emotional Labour, Psychological Alienation, Algorithmic Mechanisms

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Abstract:

在数字化高度发展的今天,直播作为一种新型传播形式,正深刻影响着人们的社交互动、生活方式乃至心理状态。网络直播中主播的情感劳动与平台有着密切关联,不合理的算法推送机制、不公平的资源分配逻辑使得主播被算法牢牢控制,出现心理异化的风险。本文将抖音平台中的歌唱主播作为研究对象,以情感劳动、受众商品论、数字劳工、互动仪式链等心理学与社会学视角,运用参与式观察的研究方法,深入剖析主播在直播间中的情感劳动特征,并探讨在算法主导下主播心理异化的具体表现与内在机制。通过从传播主体心理、传播渠道特性、传播技术影响等多维度出发,本研究旨在提出破解心理异化的策略建议,以促进抖音歌唱直播的健康传播,保障主播与用户的心理健康,构建和谐的平台生态。
In today’s highly developed digitalisation, live broadcasting, as a new form of communication, is profoundly affecting people’s social interaction, lifestyle and even psychological state. The emotional labour of anchors in webcasting is closely related to the platform, and the irrational algorithmic push mechanism and unfair resource allocation logic make the anchors firmly controlled by the algorithm and the risk of psychological alienation. In this paper, we take the singing anchors in Jitterbit platform as the research object, and with the psychological and sociological perspectives of emotional labour, audience commodity theory, digital labour, and interactive ritual chain, we use the research method of participatory observation to analyse the characteristics of the anchors’ emotional labour in live broadcasting room, and to explore the specific performance and internal mechanism of the anchors’ psychological alienation under the domination of algorithms. From the multi-dimensional perspective of the psychology of the communication subject, the characteristics of the communication channel, and the influence of the communication technology, this study aims to propose strategies to crack the psychological alienation, in order to promote the healthy communication of Jitterbit singing live broadcasts, safeguard the psychological health of the anchors and users, and build a harmonious platform ecology.

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