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Health misinformation on search engines is a significant problem that couldnegatively affect individuals or public health. To mitigate the problem, TRECorganizes a health misinformation track. This paper presents our submissions tothis track. We use a BM25 and a domain-specific semantic search engine forretrieving initial documents. Later, we examine a health news schema forquality assessment and apply it to re-rank documents. We merge the scores fromthe different components by using reciprocal rank fusion. Finally, we discussthe results and conclude with future works.

UPV at TREC Health Misinformation Track 2021 Ranking with SBERT and Quality Estimators