Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus
Table 3: Label count after merge in each category
['PubAuthAction', 'CommSpread', 'PubRec', 'PromActs']
The final dataset was produced by merging the multiple-annotated debunks on the basis of: 1) majority agreement between the annotators where possible; 2) confidence score – if there is no majority agreement, we use the highest confidence score. The category distribution is consistent with that found in \newciteBrennen2020.