"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… 

Figures and Tables from this paper

First I "like" it, then I hide it: Folk Theories of Social Feeds
TLDR
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.
"Am I Never Going to Be Free of All This Crap?"
TLDR
The "social periphery" is described---the complex social networks and data that enable inferred connections around otherwise explicit relationships---and the design challenges that the periphery presents designers are discussed.
Exposure to the Invisible : Algorithm Awareness from the Individual to the Collective
TLDR
Feed curation algorithms are some of the many algorithms that can influence people’s experience in the online world and the increasing prevalence of these invisible algorithms coupled with such substantial influences raises many questions.
Investigating Users ’ Understanding of Invisible Algorithms and Designing around It
INTRODUCTION Algorithms curate everyday online content by prioritizing, classifying, associating, and filtering information. Through this curation, they exert power to shape the users’ experience and
FAIRY: A Framework for Understanding Relationships Between Users' Actions and their Social Feeds
TLDR
FAIRY is presented, a framework that systematically discovers, ranks, and explains relationships between users' actions and items in their social media feeds and model the user's local neighborhood on the platform as an interaction graph, a form of heterogeneous information network constructed solely from information that is easily accessible to the concerned user.
'Datafied' reading: framing behavioral data and algorithmic news recommendations
TLDR
This work applies Goffman's frame analysis to a qualitative study of Scoopinion, a collaborative news recommender system that used tracked reading time to recommend articles from whitelisted websites.
Fake News on Facebook and Twitter: Investigating How People (Don't) Investigate
TLDR
This study explores how users react to fake news posts on their Facebook or Twitter feeds, as if posted by someone they follow, and document people's investigative methods for determining credibility using both platform affordances and their own ad-hoc strategies.
The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms
TLDR
It is argued that the algorithmic imaginary – ways of thinking about what algorithms are, what they should be and how they function – is not just productive of different moods and sensations but plays a generative role in moulding the Facebook algorithm itself.
Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization
TLDR
Both the sensitivity of the interest category and participants' actual interest in that topic significantly impacted their attitudes toward inferencing, and the results inform the design of transparency tools.
...
1
2
3
4
5
...

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
...