  As AI systems become more ubiquitous, securing them becomes an emerging
challenge. Over the years, with the surge in online social media use and the
data available for analysis, AI systems have been built to extract, represent
and use this information. The credibility of this information extracted from
open sources, however, can often be questionable. Malicious or incorrect
information can cause a loss of money, reputation, and resources; and in
certain situations, pose a threat to human life. In this paper, we use an
ensembled semi-supervised approach to determine the credibility of Reddit posts
by estimating their reputation score to ensure the validity of information
ingested by AI systems. We demonstrate our approach in the cybersecurity
domain, where security analysts utilize these systems to determine possible
threats by analyzing the data scattered on social media websites, forums,
blogs, etc.
