让英文维基用户看到其他语言版的补充知识,打破信息垄断。
WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions
- 通过整合多语言信息缺口发现技术与用户设计,嵌入英维界面
- 实验显示准确率提升,任务时间缩短,可用性评分高出32分
- 适合关注知识公平、跨文化认知的研究者与公众
英文维基百科页面浏览量是第二大语言版的11倍以上,主导全球知识获取。人们常误以为英维是其他语言版的超集,导致即使母语非英语也偏好使用。然而其他语言版包含根植于本地文化与媒体环境的互补事实,这些内容在英维中被边缘化。尽管维基接口支持通过互语言链接(ILL)切换语言版,但未提示用户其他版本存在有价值的信息。本文提出WikiGap系统,在英维界面中呈现来自法、俄、中文维基的互补事实。结合最新的多语言信息缺口发现方法与以用户为中心的设计,在混合方法研究(n=21)中,该系统显著提升了事实查找准确率,缩短任务时间,并获得比现有ILL系统高32分的可用性评分。参与者普遍意识到非英语版存在可补充信息,重新评估了英维的完整性。WikiGap为实现跨语言版的知识公平提供了新路径。
原文摘要 · Abstract (English)
With more than 11 times as many pageviews as the next largest edition, English Wikipedia dominates global knowledge access relative to other language editions. Readers are prone to assuming English Wikipedia as a superset of all language editions, leading many to prefer it even when their primary language is not English. Other language editions, however, comprise complementary facts rooted in their respective cultures and media environments, which are marginalized in English Wikipedia. While Wikipedia's user interface enables switching between language editions through its Interlanguage Link (ILL) system, it does not reveal to readers that other language editions contain valuable, complementary information. We present WikiGap, a system that surfaces complementary facts sourced from other Wikipedias within the English Wikipedia interface. Specifically, by combining a recent multilingual information-gap discovery method with a user-centered design, WikiGap enables access to complementary information from French, Russian, and Chinese Wikipedia. In a mixed-methods study (n=21), WikiGap significantly improved fact-finding accuracy, reduced task time, and received a 32-point higher usability score relative to Wikipedia's current ILL-based navigation system. Participants reported increased awareness of the availability of complementary information in non-English editions and reconsidered the completeness of English Wikipedia. WikiGap thus paves the way for improved epistemic equity across language editions.
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