  Health misinformation on search engines is a significant problem that could
negatively affect individuals or public health. To mitigate the problem, TREC
organizes a health misinformation track. This paper presents our submissions to
this track. We use a BM25 and a domain-specific semantic search engine for
retrieving initial documents. Later, we examine a health news schema for
quality assessment and apply it to re-rank documents. We merge the scores from
the different components by using reciprocal rank fusion. Finally, we discuss
the results and conclude with future works.
