First I "like" it, then I hide it: Folk Theories of Social Feeds

  title={First I "like" it, then I hide it: Folk Theories of Social Feeds},
  author={Motahhare Eslami and Karrie Karahalios and Christian Sandvig and Kristen Vaccaro and Aimee Rickman and Kevin Hamilton and Alex Kirlik},
  journal={Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems},
Many online platforms use curation algorithms that are opaque to the user. [] Key Result We conclude that foregrounding these automated processes may increase interface design complexity, but it may also add usability benefits.

Figures and Tables from this paper

“I Just Google It”: Folk Theories of Distributed Discovery

A signi fi cant minority of people do not follow news regularly, and a growing number rely on distributed discovery (especially social media and search engines) to stay informed. Here, we analyze folk

"Algorithms ruin everything": #RIPTwitter, Folk Theories, and Resistance to Algorithmic Change in Social Media

This study addresses the nature of user resistance in the form of the complaints being expressed, folk theories of the algorithmic system espoused by users, and how these folk theories potentially frame user reactions to algorithmic change.

The Algorithm and the User: How Can HCI Use Lay Understandings of Algorithmic Systems?

This panel will be an active discussion of the contribution of folk theories to HCI to date, how to advance a folk theory perspective, and how this perspective can bridge academic and industry study of these systems.

"Am I Never Going to Be Free of All This Crap?"

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.

'Datafied' reading: framing behavioral data and algorithmic news recommendations

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.

Understanding and Designing around Users' Interaction with Hidden Algorithms in Sociotechnical Systems

How knowledgeable users are about algorithms is studied, showing that providing insight to users about an algorithm's existence or functionality through design facilitates rapid processing of the underlying algorithm models and increases users' engagement with the system.

A Method and Analysis to Elicit User-Reported Problems in Intelligent Everyday Applications

Analysis of reviews of four apps on the Google Play Store with sentiment analysis and topic modelling reveals problems and strategies related to content, algorithm, user choice, and feedback that can be attributed to the apps’ algorithmic decision-making.

How People Form Folk Theories of Social Media Feeds and What it Means for How We Study Self-Presentation

An exploratory look at the folk theory formation process and the interplay between folk theories and self-presentation via a 28-participant interview study suggests that people draw from diverse sources of information when forming folk theories, and that folk theories are more complex, multifaceted and malleable than previously assumed.

Oh, the Places You've Been! User Reactions to Longitudinal Transparency About Third-Party Web Tracking and Inferencing

Tracking Transparency is presented, a privacy-preserving browser extension that visualizes examples of long-term, longitudinal information that third-party trackers could have inferred from users' browsing.

Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization

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.



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

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.

Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed

This work investigated user understanding of algorithmic curation in Facebook's News Feed, by analyzing open-ended responses to a survey question about whether respondents believe their News Feeds show them every post their Facebook Friends create.

FeedVis: A Path for Exploring News Feed Curation Algorithms

A system that exposes Facebook users to comparisons between algorithmically curated and unadulterated News Feeds and used the tools visualizations as concrete artifacts to study users' perceptions of the algorithms governing their social media feeds.

A path to understanding the effects of algorithm awareness

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.

Quantifying the invisible audience in social networks

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 Presentation of Self in the Age of Social Media: Distinguishing Performances and Exhibitions Online

Presentation of self (via Goffman) is becoming increasingly popular as a means for explaining differences in meaning and activity of online participation. This article argues that self-presentation

Feed me: motivating newcomer contribution in social network sites

This work uses server log data from approximately 140,000 newcomers in Facebook to predict long-term sharing based on the experiences the newcomers have in their first two weeks, and finds support for social learning: newcomers who see their friends contributing go on to share more content themselves.

Configuring the User: The Case of Usability Trials

The metaphor of machine as text is explored, set within the context of longstanding problems in social theory about agency and object, where 'configuring' includes defining the identity of putative users, and setting constraints upon their likely future actions.

Reflecting on the invisible: understanding end-user perceptions of ubiquitous computing

This study uncovers information about end-user perceptions of RFID, including a range of "folk theories" held by the public about this technology, and their associations of it with certain social groups and values.