RealSakaiLab at the TREC 2020 Health Misinformation Track.

In this paper, we describe our experiments conducted for the AdHoc Retrieval task of the TREC 2020 Health Misinformation Track. This task offers a challenges to participants to design a ranking model that promotes retrieval of both credible and correct health information. To address both relevance and credibility, we combined several techniques to re-rank a BM25 baseline ranking. The results from a language identification model, a news category classifier and a majority score calculation were used to modify the BM25 scores of the baseline ranking.