Using the new Global Quotation Graph it requires just a single line of SQL to compile a list of public statements on a given day about hydroxychloroquine using BigQuery!
Using the following SQL:
SELECT min(url) url, min(title) title, max(quotes.pre) pre, quotes.quote quote, max(quotes.post) post, count(1) count FROM `gdelt-bq.gdeltv2.gqg`, UNNEST(quotes) quotes WHERE DATE(date) = "2020-04-30" and lang='ENGLISH' and LOWER(quotes.quote) like '%hydroxychloroquine%' group by quotes.quote order by count desc LIMIT 1000
Yields a list of 78 distinct quotes containing "hydroxychloroquine" on April 30th that appeared a collective 200 times, sorted by the number of times each appeared, along with an example article in which each appeared.