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Full-Text Articles in Film and Media Studies
Feed: State Transparency Amidst Informational Surplus, Mark Fenster
Feed: State Transparency Amidst Informational Surplus, Mark Fenster
Mark Fenster
Commercial Content Moderation: Digital Laborers' Dirty Work, Sarah T. Roberts
Commercial Content Moderation: Digital Laborers' Dirty Work, Sarah T. Roberts
Sarah T. Roberts
In this chapter from the forthcoming Intersectional Internet: Race, Sex, Class and Culture Online (Noble and Tynes, Eds., 2016), I introduce both the concept of commercial content moderation (CCM) work and workers, as well as the ways in which this unseen work affects how users experience the Internet of social media and user-generated content (UGC). I tie it to issues of race and gender by describing specific cases of viral videos that transgressed norms and by providing examples from my interviews with CCM workers. The interventions of CCM workers on behalf of the platforms for which they labor directly contradict …
Performing And Interpreting Identity, Lee Farquhar
Performing And Interpreting Identity, Lee Farquhar
Lee Farquhar
Using Textual Features To Predict Popular Content On Digg, Paul H. Miller
Using Textual Features To Predict Popular Content On Digg, Paul H. Miller
Paul H Miller
Over the past few years, collaborative rating sites, such as Netflix, Digg and Stumble, have become increasingly prevalent sites for users to find trending content. I used various data mining techniques to study Digg, a social news site, to examine the influence of content on popularity. What influence does content have on popularity, and what influence does content have on users’ decisions? Overwhelmingly, prior studies have consistently shown that predicting popularity based on content is difficult and maybe even inherently impossible. The same submission can have multiple outcomes and content neither determines popularity, nor individual user decisions. My results show …