Figure 2
From: Realtime user ratings as a strategy for combatting misinformation: an experimental study
Theoretical expectations. We simulate sequences of rating decisions in 30,000 groups of bipartisan agents (25 ideologically aligned and 25 misaligned agents per group). The fraction of correct rating decisions is shown (A) as a function of difficulty and (B) as a function of an agents’ position in the rating sequence. In integrated groups, agents classify messages more often correctly than those in independent groups when average difficulty \(\overline{d }\) < 0.5, irrespective of message veracity. In segregated groups, agents classify messages more often correctly than those in independent groups if true messages are being rated but classify messages less often correctly if false messages are rated. Parameters used in all panels: | dalign—dmis |= b = 0.2, v = [− 1; 1], s = [0; 2.35]. Panel B: \(\overline{d }\) = 0.45.
