Corpora Scraped from /r/youtubers and /r/uberdrivers

To investigate the status of platform workers’ deliberations, two corpuses were produced from “conversation data from a large online community dedicated to” the platforms of interest, YouTube and Uber [1]. Following Bucher et al. (2021), both corpuses were built to supplement existing literature. Instead of relying solely on others’ surveys of platform workers’ experiences, the research question dealing with the articulation of platform workers’ voices was probed directly. These data, gathered from “/r/youtubers” and “/r/uberdrivers” on Reddit, thus sought to reveal the content of platform workers’ deliberations and to what extent they evidence inquiry and continuous learning in the pragmatist sense. The top 1000 “discussion threads from the online community” were scraped. These included 1000 initial posts and 5 comments for each post, producing a total of 6000 total posts from each subreddit.

[1] Bucher, Schou, and Waldkirch, “Pacifying the Algorithm – Anticipatory Compliance in the Face of Algorithmic Management in the Gig Economy.”