  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.
