Exploring user perceived beliefs, evaluations, and gratifications in ASM: applying expectancy-value approach for U&G theory on Mastodon instance Liker.social

IF 1.5 Q2 COMMUNICATION
Kai Hung Liao
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引用次数: 0

Abstract

This study aims to explore users' perceived beliefs of the decentralized alternative social media (ASM), selecting one of Mastodon instances, Liker. social, as the unique case of exploratory investigation. The study employs the online exploratory survey method and uses purposive sampling to identify 152 valid users actively engaged in the Liker.social. Based on the expectancy-value approach to uses and gratifications theory, the study identifies two factors within users' subjective perceived beliefs: informative decentralized benefits and descriptive centralized benefits. The study also finds that the “Writing messages” is the most important functionality evaluated by users but gets fewer level of gratifications obtained, representing that there is still room for improvement. Additionally, the study presents four types of users based on their combined perceived beliefs: (1) All-benefit Rejectors, (2) All-benefit Obtainers, (3) Former-benefit Conservatives, and (4) Newer-benefit Seekers. Users (2) and (4) stressed more value on overall functionality and obtained more gratifications than users (1) and (3), so users (2) and (4) are the same statistically, having greater evaluations of importance and gratifications obtained for Liker.social than that of users (1) and (3). It signifies that the different users held varying beliefs about the benefits brought by the decentralized ASM. It was concluded that the casual relationship is valid: users' evaluations of importance, informative decentralized benefits combined with descriptive centralized benefits eventually affect the level of users' gratifications obtained on the decentralized ASM. Therefore, further research is needed to pay greater attention to users' feedback and experiences on the decentralized ASM.
探索 ASM 中用户感知到的信念、评价和满足:在 Mastodon 实例 Liker.social 中应用期望值-价值方法来研究 U&G 理论
本研究旨在探讨用户对去中心化的另类社交媒体(ASM)的感知信念,选择了 Mastodon 的一个实例 Liker.social 作为探索性调查的独特案例。本研究采用在线探索性调查方法,通过目的性抽样确定了 152 名活跃在 Liker.social 上的有效用户。基于使用和满足理论的期望值方法,研究确定了用户主观感知信念中的两个因素:信息性分散利益和描述性集中利益。研究还发现,"撰写信息 "是用户评价最重要的功能,但获得的满足程度较低,这说明仍有改进的空间。此外,研究还根据用户的综合感知信念提出了四种类型的用户:(1) 所有利益拒绝者,(2) 所有利益获得者,(3) 旧利益保守者,以及 (4) 新利益追求者。与用户(1)和(3)相比,用户(2)和(4)更看重整体功能,获得的满足感也更多,因此在统计上用户(2)和(4)是相同的,对 Liker.social 的重要性和获得的满足感的评价都高于用户(1)和(3)。这表明不同的用户对分散式 ASM 带来的好处持有不同的看法。由此得出结论,这种偶然关系是有效的:用户对分散式利益的重要性、信息性以及集中式利益的描述性的评价最终会影响用户在分散式 ASM 上获得的满足感水平。因此,需要进一步开展研究,更加关注用户对分散式人工智能系统的反馈和体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.30
自引率
8.30%
发文量
284
审稿时长
14 weeks
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