As more users turn to video-sharing platforms like YouTube as an information source, they may consume misinformation despite their best efforts. In this work, we investigate ways that users can better assess the credibility of videos by first exploring how users currently determine credibility using existing signals on platforms and then by introducing and evaluating new credibility-based signals. We conducted 12 contextual inquiry interviews with YouTube users, determining that participants used a combination of existing signals, such as the channel name, the production quality, and prior knowledge, to evaluate credibility, yet sometimes stumbled in their efforts to do so. We then developed Viblio, a prototype system that enables YouTube users to view and add citations and related information while watching a video based on our participants' needs. From an evaluation with 12 people, all participants found Viblio to be intuitive and useful in the process of evaluating a video's credibility and could see themselves using Viblio in the future.

翻译：随着越来越多用户将YouTube等视频分享平台作为信息来源，即便他们竭力甄别，仍可能接触到错误信息。本研究旨在探索用户如何更有效地评估视频可信度：首先通过调研用户如何利用现有平台信号判断可信度，进而引入并评估新型可信度信号。通过对12名YouTube用户进行情境访谈调查，我们发现参与者会结合渠道名称、制作质量、先验知识等现有信号评估可信度，但有时在评估过程中仍会出现偏差。基于参与者需求，我们开发了原型系统Viblio，该系统使YouTube用户能在观看视频时查看并添加引用及相关信息。经过对12人的评估测试，所有参与者均认为Viblio在评估视频可信度方面具有直观性和实用性，并表示未来愿意使用该工具。