research-article

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HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System

Authors:

Youngseung Jeon,

Kyungsik HanAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 8, Issue CSCW1

Article No.: 63, Pages 1 - 34

https://doi.org/10.1145/3637340

Published: 26 April 2024 Publication History

Abstract

Considerable efforts are currently underway to mitigate the negative impacts of echo chambers, such as increased susceptibility to fake news and resistance towards accepting scientific evidence. Prior research has presented the development of computer systems that support the consumption of news information from diverse political perspectives to mitigate the echo chamber effect. However, existing studies still lack the ability to effectively support the key processes of news information consumption and quantitatively identify a political stance towards the information. In this paper, we present HearHere, an AI-based web system designed to help users accommodate information and opinions from diverse perspectives. HearHere facilitates the key processes of news information consumption through two visualizations. Visualization 1 provides political news with quantitative political stance information, derived from our graph-based political classification model, and users can experience diverse perspectives (Hear). Visualization 2 allows users to express their opinions on specific political issues in a comment form and observe the position of their own opinions relative to pro-liberal and pro-conservative comments presented on a map interface (Here). Through a user study with 94 participants, we demonstrate the feasibility of HearHere in supporting the consumption of information from various perspectives. Our findings highlight the importance of providing political stance information and quantifying users' political status as a means to mitigate political polarization. In addition, we propose design implications for system development, including the consideration of demographics such as political interest and providing users with initiatives.

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Cited By

Oliveira NMedeiros DMattos D(2024)ECO-SA: Estratégia de Contenção Otimizada da Propagação em Câmaras de Eco utilizando Simulated AnnealingAnais do XXIV Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2024)10.5753/sbseg.2024.241730(319-334)Online publication date: 16-Sep-2024
https://doi.org/10.5753/sbseg.2024.241730
Hartwig KDoell FReuter C(2024)The Landscape of User-centered Misinformation Interventions - A Systematic Literature ReviewACM Computing Surveys10.1145/367472456:11(1-36)Online publication date: 22-Jul-2024
https://dl.acm.org/doi/10.1145/3674724

Index Terms

HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
1. Applied computing
  1. Law, social and behavioral sciences
    1. Sociology
2. Human-centered computing

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 8, Issue CSCW1

CSCW

April 2024

6294 pages

EISSN:2573-0142

DOI:10.1145/3661497

Editor:
Jeff Nichols
Apple Inc., United States

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Published: 26 April 2024

Published in PACMHCI Volume 8, Issue CSCW1

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Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.2020-0-01373, Artificial Intelligence Graduate School Program (Hanyang University)).
The National Research Foundation of Korea(NRF) grant funded by the Korea government(*MSIT) (No.2021S1A5A2A03065899). *Ministry of Science and ICT.
The National Research Foundation of Korea(NRF) grant funded by the Korea government(*MSIT) (No.2018R1A5A7059549). *Ministry of Science and ICT.

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Cited By

Oliveira NMedeiros DMattos D(2024)ECO-SA: Estratégia de Contenção Otimizada da Propagação em Câmaras de Eco utilizando Simulated AnnealingAnais do XXIV Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2024)10.5753/sbseg.2024.241730(319-334)Online publication date: 16-Sep-2024
https://doi.org/10.5753/sbseg.2024.241730
Hartwig KDoell FReuter C(2024)The Landscape of User-centered Misinformation Interventions - A Systematic Literature ReviewACM Computing Surveys10.1145/367472456:11(1-36)Online publication date: 22-Jul-2024
https://dl.acm.org/doi/10.1145/3674724

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