设计激励:促进质疑社交媒体上错误信息的协同设计研究

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Human Behavior and Emerging Technologies Pub Date : 2024-10-14 DOI:10.1155/2024/5595339
Selin Gurgun, Emily Arden-Close, Keith Phalp, Raian Ali
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引用次数: 0

摘要

社交媒体上的错误信息传播是一个关键问题。减少传播的一个潜在解决方案是用户更正;然而,用户往往出于各种顾虑而不予更正。本研究利用用户界面设计(UID)对用户如何与错误信息互动并做出反应的既定影响,探讨如何设计用户界面功能以激励用户质疑错误信息。其目的是深入了解用户的需求和鼓励这种行为的用户界面要求。我们与 18 名社交媒体用户(年龄在 20-60 岁之间,M=39.1;10 名女性和 8 名男性)进行了四次编码设计会话。我们将技术接受和使用统一理论(UTAUT)作为一个理论框架,并根据该框架的核心结构:性能预期、努力预期、社会影响和便利条件对数据进行了分析。我们的研究结果揭示了四个设计考虑因素:创造安全和支持性的环境;通过轻松对抗和获取可靠资源促进知情讨论;利用认可和社会证明;以及用户支持基础设施。我们还与用户一起确定了具体的设计要素,包括间接性、半匿名性和隐私性、简单性、一键挑战、轻松获取可靠资源、识别、显示社会证明和平台支持。这些元素旨在减少社会不适感,使用户在纠正错误信息的过程中更容易接受。我们的研究结果为社交媒体平台设计者提供了可操作的见解,通过创造鼓励建设性对话的环境,让用户能够在不担心冲突的情况下质疑错误信息,从而减少错误信息的传播。
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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Motivated by Design: A Codesign Study to Promote Challenging Misinformation on Social Media

The spread of misinformation on social media is a critical issue. One potential solution to mitigate the spread is user corrections; however, users often refrain due to various concerns. Leveraging the established influence of user interface design (UID) on how user interact with and respond to misinformation, this study investigates how user interface features can be designed to motivate users to challenge misinformation. It is aimed at gaining insights into users’ needs and UID requirements that encourage this behaviour. We conducted four codesign sessions with 18 social media users (age range 20–60 years M = 39.1; 10 female and 8 male). We applied the unified theory of acceptance and use of technology (UTAUT) as a theoretical framework and analysed our data based on the core constructs of this framework: performance expectancy, effort expectancy, social influence, and facilitating conditions. Our findings reveal four design considerations: creating secure and supportive environments, facilitating informed discussions through easy confrontation and access to reliable resources, leveraging recognition and social proof, and user support infrastructure. We also identified specific design elements with users, including indirection, semianonymity and privacy, simplicity, one-click challenging, easy access to reliable sources, recognition, displaying social proof, and platform support. These elements are aimed at reducing social discomfort and making the process of correcting misinformation more approachable for users. Our findings offer actionable insights for social media platform designers to reduce the spread of misinformation by creating environments that encourage constructive dialogues and allow users to challenge misinformation without fear of conflict.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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