Fig. 7
From: The role of luck in the success of social media influencers
The plots show how different recommendation processes influence the chance of observing fair outcomes for different CCs. The x-axis is for CCs (from highest-quality, \(CC_1\), to lowest-quality, \(CC_{100}\)) while the y-axis is for the percentage of simulations which were \(CC_i\)-fair is satisfied after 1000 timesteps. a focuses on the effect of increasing the visibility of low-popularity CCs when starting from the realistic recommendation process (i.e., PA with \(\alpha = 1\)). b (respectively, (c)) look at the effect of further increasing (respectively, decreasing) the visibility of the most popular CCs