Personal genomics offers a complex form of uncertainty in which a person’s data are largely stable, but the interpretation and implications continue to evolve with the emergence of new research. Another domain, in which there is uncertainty about the supporting evidence and truthfulness of a claim, is social networks. We propose that a similar method can be used to communicate uncertainty in these contexts, and present a tool for visualizing social network claims that builds upon research in both contexts.
Lauren Westendorf, Christina Pollalis, Clarissa Verish, Orit Shaer, Panagiotis Takis Metaxas, Samantha Finn, Madeleine Ball, Oded Nov. "From Personal Genomics to Twitter: Visualizing the Uncertainty of Evidence". Proceedings of the Designing for Uncertainty in HCI: When Does Uncertainty Help? Workshop on CHI, 2017.