Abstract

In “Regulating social media as a public good: Limiting epistemic segregation” (2022), Toby Handfield tackles a well-known problematic aspect of widespread social media use: the formation of ideologically monotone and insulated social networks. Handfield argues that we can take some cues from economics to reduce the extent to which echo chambers grow up around individual users. Specifically, he argues that tax incentives to encourage network heterophily may be levied at any of three different groups: individual social media users, social media sites/companies, or advertisers who use social media to promote their products and material. In this response, I examine the plausibility of using such incentives on each of the these groups. I argue, first, that using tax incentives on either (1) social media companies or (2) advertisers would be ineffective as these incentives could not feasibly be made strong enough to override the enormous financial gain of the standard social media algorithms. Next, I argue that levying the incentives/penalties on individual users would be a hazard, due to the risk of what is called the epistemic “backfire effect”. Finally, I argue that the problem lies in relying on incentives and disincentives—rather than direct regulation—to increase network heterophily.