In this pilot episode of Misinfodemia, a new podcast from Meedan, we talk to Renee DiResta, Research Manager at the Stanford Internet Observatory. She investigates the spread of malign narratives across social networks, and assists policymakers in understanding and responding to the problem.
Renne joined us to talk about her latest research on the spread of false information on social platforms, and how addressing those problems is more complicated than it seems.
- 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.