In this video training series for Facebook Journalism Project’s Global Health Fellowship, Digital Health Lab Director Natalie Gyenes outlines some of the key techniques that fact-checkers and journalists can use to support public health while they’re verifying and debunking health misinformation online.
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Footnotes
- Online conversations are heavily influenced by news coverage, like the 2022 Supreme Court decision on abortion. The relationship is less clear between big breaking news and specific increases in online misinformation.
- The tweets analyzed were a random sample qualitatively coded as “misinformation” or “not misinformation” by two qualitative coders trained in public health and internet studies.
- This method used Twitter’s historical search API
- The peak was a significant outlier compared to days before it using Grubbs' test for outliers for Chemical Abortion (p<0.2 for the decision; p<0.003 for the leak) and Herbal Abortion (p<0.001 for the decision and leak).
- All our searches were case insensitive and could match substrings; so, “revers” matches “reverse”, “reversal”, etc.
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Published on
December 11, 2020
April 20, 2022
