"I always assumed that I wasn't really that close to [her]": Reasoning about Invisible Algorithms in News Feeds

@article{Eslami2015IAA,
  title={"I always assumed that I wasn't really that close to [her]": Reasoning about Invisible Algorithms in News Feeds},
  author={Motahhare Eslami and Aimee Rickman and Kristen Vaccaro and Amirhossein Aleyasen and Andy Vuong and Karrie Karahalios and Kevin Hamilton and Christian Sandvig},
  journal={Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems},
  year={2015}
}
Our daily digital life is full of algorithmically selected content such as social media feeds, recommendations and personalized search results. These algorithms have great power to shape users' experiences, yet users are often unaware of their presence. Whether it is useful to give users insight into these algorithms' existence or functionality and how such insight might affect their experience are open questions. To address them, we conducted a user study with 40 Facebook users to examine… 
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References

SHOWING 1-10 OF 69 REFERENCES
Quantifying the invisible audience in social networks
TLDR
This paper combines survey and large-scale log data to examine how well users' perceptions of their audience match their actual audience on Facebook, and finds that social media users consistently underestimate their audience size for their posts.
The Filter Bubble: How the New Personalized Web Is Changing What We Read and How We Think
In December 2009, Google began customizing its search results for all users, and we entered a new era of personalization. With little notice or fanfare, our online experience is changing, as the…
Knock, Knock. Who's There? The Imagined Audience
For more than a century, scholars have alluded to the notion of an “imagined audience”—a person's mental conceptualization of the people with whom he or she is communicating. The imagined audience…
It's Complicated: The Social Lives of Networked Teens
What is new about how teenagers communicate through services such as Facebook, Twitter, and Instagram? Do social media affect the quality of teens lives? In this eye-opening book, youth culture and…
Computing tie strength
Relationships make social media social. But, not all relationships are created equal. We have colleagues with whom we correspond intensely, but not deeply; we have childhood friends we consider…
A path to understanding the effects of algorithm awareness
TLDR
This paper situates the rise in prevalence of algorithmically curated feeds in online news and social media sites within the history of design for interaction, with an emphasis on the contemporary challenges of studying, and designing for, the algorithmic "curation" of feeds.
Automate This: How Algorithms Came to Rule Our World
TLDR
In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over and shows why the bot revolution is about to spill into every aspect of the authors' lives, often silently, without their knowledge.
The Politics of Search: A Decade Retrospective
TLDR
The author assesses which of the initial concerns expressed about online search engines remain relevant today and discusses how technical changes demand a new approach to measuring online diversity and democracy.
Algorithmic Accountability Reporting: On the Investigation of Black Boxes
I'm indebted to a number of people who were generous with their time in providing feedback and helping me to think through and shape the ideas presented here. I'm grateful to those whom I interviewed…
Shaping the Web: Why the Politics of Search Engines Matters
TLDR
It is argued that search engines raise not merely technical issues but also political ones, raising doubts whether, in particular, the market mechanism could serve as an acceptable corrective.
...
1
2
3
4
5
...