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Pop: Bursting News Filter Bubbles on Twitter Through Diverse Exposure

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CSCW '19 Companion: Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing

Pages 18 - 22

https://doi.org/10.1145/3311957.3359513

Published: 09 November 2019 Publication History

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Abstract

An increasing number of American adults are consuming news on social media platforms. However, these digital platforms employ personalized recommendation algorithms to increase user engagement. This selective exposure to information leads to the formation of filter bubbles where the users are constantly fed information in line with their ideological views. In this paper, we aim at bursting these filter bubbles through diverse exposure. We discuss the design of a Google Chrome extension, Pop, which augments user's Twitter feeds with news tweets from agencies of different ideological standings.

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Cited By

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Chen APark CDarkwa AHolliday RBest M(2024)"We're Not in That Circle of Misinformation": Understanding Community-Based Trusted Messengers Through Cultural Code-SwitchingProceedings of the ACM on Human-Computer Interaction10.1145/36374298:CSCW1(1-36)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637429
Zhang YSun JFeng LYao CFan MZhang LWang QGeng XRui Y(2024)See Widely, Think Wisely: Toward Designing a Generative Multi-agent System to Burst Filter BubblesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642545(1-24)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642545
Sehnan DGoel VMasud SJain CGoyal VChakraborty T(2023)DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large NetworksACM Transactions on Knowledge Discovery from Data10.1145/355877117:4(1-33)Online publication date: 24-Feb-2023
https://dl.acm.org/doi/10.1145/3558771
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Index Terms

Pop: Bursting News Filter Bubbles on Twitter Through Diverse Exposure
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
      2. Social media
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Algorithmic game theory and mechanism design
      1. Social networks

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Published In

CSCW '19 Companion: Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing

November 2019

562 pages

ISBN:9781450366922

DOI:10.1145/3311957

General Chairs:
Eric Gilbert
University of Michigan
,
Karrie Karahalios
University of Illinois, Urbana- Champaign

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 November 2019

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CSCW '19

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SIGCHI

CSCW '19: Computer Supported Cooperative Work and Social Computing

November 9 - 13, 2019

TX, Austin, USA

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CSCW '19 Companion Paper Acceptance Rate 703 of 2,958 submissions, 24%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

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Chen APark CDarkwa AHolliday RBest M(2024)"We're Not in That Circle of Misinformation": Understanding Community-Based Trusted Messengers Through Cultural Code-SwitchingProceedings of the ACM on Human-Computer Interaction10.1145/36374298:CSCW1(1-36)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637429
Zhang YSun JFeng LYao CFan MZhang LWang QGeng XRui Y(2024)See Widely, Think Wisely: Toward Designing a Generative Multi-agent System to Burst Filter BubblesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642545(1-24)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642545
Sehnan DGoel VMasud SJain CGoyal VChakraborty T(2023)DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large NetworksACM Transactions on Knowledge Discovery from Data10.1145/355877117:4(1-33)Online publication date: 24-Feb-2023
https://dl.acm.org/doi/10.1145/3558771
Bhuiyan MBautista Isaza CMitra TLee S(2022)OtherTube: Facilitating Content Discovery and Reflection by Exchanging YouTube Recommendations with StrangersProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502028(1-17)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502028

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