Algorithmic Worldmaking

 
 
  1. “Navigating Networked Worlds”: This chapter unpacks how algorithms reshape networked spaces by helping users navigate from point to point. I begin with Google search, which I argue is a process of navigation, one that can be disrupted through human intervention. I study the Google bombing of Rick Santorum, a campaign designed to defame the former Senator by offering an explicit alternative definition of Santorum. I also analyze the alt-right’s use of Google bombing to spread white nationalism and I trace the manipulation of mapping systems to spread anti-Semitism.
  2. “Exploring the Agora“: This chapter lays out processes of exploration, which are designed to help users find new things rather than merely moving from point a to point b. I study recommendation and targeting algorithms, articulating a theory of “personalized publics” and considering the algorithmization of identity. I trace Facebook’s deployment of “ethnic affinity advertisement,” which allowed the site to push different advertisements for Straight Outta Compton, and which came under fire for allowing advertisers to illegally restrict minority users from viewing housing ads.
  3. “Maintaining Communities”: This chapter examines how algorithmic systems maintain the structure of communities, often in ways that reify the power structures of the “offline” world. The chapter primarily considers moderation algorithms and procedures. I first assess Facebook’s algorithmic moderation system and its tendency to protect white users while restricting Black voices on the platform. I then analyze the “counter-information” efforts of info panels on YouTube before diving into the destruction of Tumblr as the platform leveraged algorithmic moderation to remove adult content.
  4. “Monetizing the System”: This chapter articulates the harms of monetization algorithms, which underpin most of the other types of algorithmic kosmos studied throughout the book. Monetization algorithms are designed explicitly to extract value, including copyright matching algorithms (Content ID on YouTube and Audible Magic elsewhere) and gig work algorithms, specifically DoorDash’s, which were the subjects of a campaign (#DeclineNow) of manipulation designed to create better wages for workers.