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Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed

Published: 18 April 2015 Publication History

Abstract

People are becoming increasingly reliant on online socio-technical systems that employ algorithmic curation to organize, select and present information. We wanted to understand how individuals make sense of the influence of algorithms, and how awareness of algorithmic curation may impact their interaction with these systems. We 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. Responses included a wide range of beliefs and causal inferences, with different potential consequences for user behavior in the system. Because user behavior is both input for algorithms and constrained by them, these patterns of belief may have tangible consequences for the system as a whole.

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    cover image ACM Conferences
    CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
    April 2015
    4290 pages
    ISBN:9781450331456
    DOI:10.1145/2702123
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 18 April 2015

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    Author Tags

    1. algorithms
    2. facebook news feed.
    3. feedback loop
    4. intuitive theories

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    CHI '15
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    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

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    CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    • (2024)Digital Inclusion Through Algorithmic Knowledge: Curated Flows of Civic and Political Information on InstagramMedia and Communication10.17645/mac.810212Online publication date: 24-Jun-2024
    • (2024)When Stories Turn Institutional: How TikTok Users Legitimate the Algorithmic SensemakingSocial Media + Society10.1177/2056305123122411410:1Online publication date: 30-Jan-2024
    • (2024)ChatGPT in the public eye: Ethical principles and generative concerns in social media discussionsNew Media & Society10.1177/14614448241279034Online publication date: 21-Sep-2024
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