低资源语言中的AI素养：来自约鲁巴语AI视频创作的洞见
AI Literacy in Low-Resource Languages:Insights from creating AI in Yoruba videos
AI总结：
本研究针对低资源语言约鲁巴语缺乏AI素养内容的问题，制作26个分难度的约鲁巴语AI视频并多平台分发，验证了相关内容创作的可行性，还提供了可复制方法、专属AI词汇及受众相关数据洞见。
摘要：
为有效应对AI革命，AI素养至关重要。然而，相关内容主要以主流语言呈现，这为约鲁巴语（拥有4100万母语使用者）这类低资源语言造成了认知缺口。本案例研究探索通过创作并分发约鲁巴语AI视频来弥合这一缺口。\n该项目制作了26个视频，涵盖基础、中级和高级AI概念，运用了故事化叙事和通俗易懂的讲解方式。这些视频采用高性价比的方法制作，在YouTube、LinkedIn和Twitter上分发，覆盖了全球22个国家的预估受众。对YouTube平台的分析揭示了观看模式的相关洞见，其中25-44岁年龄段贡献了最多观看量。值得注意的是，超过一半的流量来自外部渠道，凸显了跨平台推广的潜力。\n本研究证明了用低资源语言创作AI素养内容的可行性与影响力。研究强调，准确的内容解读既需要AI领域的专业技术知识，也需要目标语言的流利使用能力。这项工作贡献了一套可复制的方法、一份包含22个词的约鲁巴语AI词汇表，以及关于受众人口特征和获客渠道的数据驱动洞见。
英文摘要：
To effectively navigate the AI revolution, AI literacy is crucial. However, content predominantly exists in dominant languages, creating a gap for low-resource languages like Yoruba (41 million native speakers). This case study explores bridging this gap by creating and distributing AI videos in Yoruba.The project developed 26 videos covering foundational, intermediate, and advanced AI concepts, leveraging storytelling and accessible explanations. These videos were created using a cost-effective methodology and distributed across YouTube, LinkedIn, and Twitter, reaching an estimated global audience of 22 countries. Analysis of YouTube reveals insights into viewing patterns, with the 25-44 age group contributing the most views. Notably, over half of the traffic originated from external sources, highlighting the potential of cross-platform promotion.This study demonstrates the feasibility and impact of creating AI literacy content in low-resource languages. It emphasizes that accurate interpretation requires both technical expertise in AI and fluency in the target language. This work contributes a replicable methodology, a 22-word Yoruba AI vocabulary, and data-driven insights into audience demographics and acquisition channel
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
