 This study used six computational and spatiotemporal analytical approaches to evaluate the relevance of risk information extracted from tweets during the 2013 Colorado flood event, finding that only 14% of geotag tweets and 0.06% of total firehose tweets were relevant to the event, contributing to the literature on quality of big data and highlighting the need for future research on assessing the reliability of relevant tweets for disaster-related situational awareness. This article was authored by Siahui Liu, Bandana Ka, Chaoyang Zhong, and others.