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

By Motahhare Eslami, K. G. Karahalios, Christian Sandvig, Kristen Vaccaro, Aimee Rickman, Kevin Hamilton, A. Kirlik. International Conference on Human Factors in Computing Systems, 2016

400 citations recorded by the source corpus.

Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/3411f97b3ed4761f3d20fffaa0cbcdd62e76e650

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In Computer Science Applications

In Computer Vision and Pattern Recognition

In Human-Computer Interaction

Citations in the corpus

The Illusion of Control: Placebo Effects of Control Settings (2018, background): “This work (along with others that do not directly test non-functional operations) has shown that users are so likely to trust an algorithmic system that when making sense of the system, they will disregard evidence of failures by taking personal responsibility for them, or assuming an algorithmic om”
Addressing Age-Related Bias in Sentiment Analysis (2018, background): “Researchers have examined how people may attempt to reverse engineer systems based on their understanding of algorithms [5], how altering the design of system features affects an individual’s understanding of algorithms [21,24], and how understanding algorithms affects user behavior [25].”
'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions (2018, background): “But in the absence of transparency from platform providers, end-users may develop folk theories of algorithms, leading to a diverse range of strategies and countermeasures with varying degrees of effectiveness [22, 14].”
Prompt Engineering for Text-Based Generative Art (2022, background): “Some of these choices may fall into the realm of folk theories [13, 17] – that is, causal attributions that may or may not be true –, while other choices may be based on the practitioner’s experimentation and experience with prompt engineering.”
"Algorithms ruin everything": #RIPTwitter, Folk Theories, and Resistance to Algorithmic Change in Social Media (2017, background): “[10] as well as in prior folk theory work (e.”
Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance (2021, background): “They held Eslami et al.’s Personal Engagement Theory of Social Feeds [30] observed in the Facebook context, believing actions such as liking or commenting on a video informed the algorithm and in � uenced what they saw on their FYP.”
Communicating Algorithmic Process in Online Behavioral Advertising (2018, background): “This perception corresponds with the “eye of providence” folk theory from previous research wherein users perceived algorithmic systems to be all-powerful and all-knowing [13, 49].”