Templates and Trust-o-meters: Towards a widely deployable indicator of trust in Wikipedia

Templates and Trust-o-meters: Towards a widely deployable indicator of trust in Wikipedia
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模板和信任计:在维基百科中建立一个可广泛部署的信任指标

DOI:
10.1145/3491102.3517523
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发表时间:
2022
期刊:
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Kittur, Aniket
Kittur, Aniket
中科院分区:
--
文献类型:
--
作者:
Kuznetsov, Andrew;Novotny, Margeigh;Klein, Jessica;Saez-Trumper, Diego;Kittur, Aniket

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维基百科和其他用户生成的内容社区的成功是由全球招募志愿者的开放性推动的,但这种开放性也导致了人们对其内容长期缺乏信任。尽管几次尝试开发信任指标,以帮助读者更快、更准确地评估内容质量,但在向一般消费者实际部署方面仍然存在挑战。在这项工作中,我们确定并解决了三个关键挑战:从经验上确定来自先前和现有社区的哪些度量方法对读者信任影响最大;2)验证既紧凑但又被读者注意到的指标放置和设计;以及3)证明这些指标不仅可以降低信任,而且在适当的时候还可以增加对系统的感知信任。通过解决这些问题,我们的目标是为未来的工具提供一个基础,这些工具实际上可以增加对用户生成的内容以及生成和维护这些内容的社会技术系统的信任。
The success of Wikipedia and other user-generated content communities has been driven by the openness of recruiting volunteers globally, but this openness has also led to a persistent lack of trust in its content. Despite several attempts at developing trust indicators to help readers more quickly and accurately assess the quality of content, challenges remain for practical deployment to general consumers. In this work we identify and address three key challenges: empirically determining which metrics from prior and existing community approaches most impact reader trust; 2) validating indicator placements and designs that are both compact yet noticed by readers; and 3) demonstrating that such indicators can not only lower trust but also increase perceived trust in the system when appropriate. By addressing these, we aim to provide a foundation for future tools that can practically increase trust in user generated content and the sociotechnical systems that generate and maintain them.
适度的透明度真的很重要吗?
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