C
Christian Sandvig
Researcher at University of Michigan
Publications - 52
Citations - 2802
Christian Sandvig is an academic researcher from University of Michigan. The author has contributed to research in topics: The Internet & Social media. The author has an hindex of 22, co-authored 51 publications receiving 2175 citations. Previous affiliations of Christian Sandvig include University of Illinois at Urbana–Champaign & Indiana University.
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Journal ArticleDOI
Infrastructure studies meet platform studies in the age of Google and Facebook
TL;DR: This article uses case studies of the Open Web, Facebook, and Google to demonstrate that infrastructure studies provides a valuable approach to the evolution of shared, widely accessible systems and services of the type often provided or regulated by governments in the public interest.
Proceedings ArticleDOI
"I always assumed that I wasn't really that close to [her]": Reasoning about Invisible Algorithms in News Feeds
Motahhare Eslami,Aimee Rickman,Kristen Vaccaro,Amirhossein Aleyasen,Andy Vuong,Karrie Karahalios,Kevin Hamilton,Christian Sandvig +7 more
TL;DR: A system, FeedVis, is developed to reveal the difference between the algorithmically curated and an unadulterated News Feed to users, and used it to study how users perceive this difference.
Proceedings ArticleDOI
First I "like" it, then I hide it: Folk Theories of Social Feeds
Motahhare Eslami,Karrie Karahalios,Christian Sandvig,Kristen Vaccaro,Aimee Rickman,Kevin Hamilton,Alex Kirlik +6 more
TL;DR: It is concluded that foregrounding these automated processes may increase interface design complexity, but it may also add usability benefits, as users made plans that depended on their theories.
Proceedings ArticleDOI
The network in the garden: an empirical analysis of social media in rural life
TL;DR: Behavioral differences between rural and urban social media users are investigated and it is indicated that rural people articulate far fewer friends online, and those friends live much closer to home.
Proceedings ArticleDOI
Communicating Algorithmic Process in Online Behavioral Advertising
TL;DR: Exposing users to their algorithmically-derived attributes led to algorithm disillusionment---users found that advertising algorithms they thought were perfect were far from it, and a design implication is proposed to effectively communicate information about advertising algorithms.