  Thanks to information explosion, data for the objects of interest can be
collected from increasingly more sources. However, for the same object, there
usually exist conflicts among the collected multi-source information. To tackle
this challenge, truth discovery, which integrates multi-source noisy
information by estimating the reliability of each source, has emerged as a hot
topic. Several truth discovery methods have been proposed for various
scenarios, and they have been successfully applied in diverse application
domains. In this survey, we focus on providing a comprehensive overview of
truth discovery methods, and summarizing them from different aspects. We also
discuss some future directions of truth discovery research. We hope that this
survey will promote a better understanding of the current progress on truth
discovery, and offer some guidelines on how to apply these approaches in
application domains.
