The False positive problem of automatic bot detection in social science research
Fig 4
Universal score precision-recall curves for the resampled data sets.
We consider the population baseline on Twitter (15% bots) for the universal Botometer score, black points indicate the precision and the recall for the Botometer score 0.76. With the German politicians and bots data set, for almost every threshold level the identified sample of bots has more humans than real bots (precision). The x-axis represents the recall (sensitivity) and the y-axis represents the precision.