Since 2016, the number of papers on mis/disinformation has skyrocketed. It's hard to imagine another phenomenon for which there exists such a complete dataset, but this field must label things as true, biased, etc., sticky concepts to define at scale. How can you label millions of tweets as true/false?
If we pick a paper and follow the provenance of its data, I think that we can learn about not just this field, but the role of data and computation in society.
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