A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
In this study, we investigate how supporting serendipitous discovery and analysis of short free-form texts, such as product reviews can encourage readers to explore texts more comprehensively prior to decision-making. We propose two interventions -- Exploration Metrics that help readers understand and track their exploration patterns through visual indicators and a Bias Mitigation Model that maximizes knowledge discovery by suggesting readers sentiment and semantically diverse reviews. Wedoi:10.1145/3491102.3517649 arXiv:2202.06221v1 fatcat:msiraffskzbnfa6ocpxy6s3sza