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Presenting diverse political opinions: how and how much

Authors:

Sean A. Munson,

Paul ResnickAuthors Info & Claims

CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1457 - 1466

https://doi.org/10.1145/1753326.1753543

Published: 10 April 2010 Publication History

Abstract

Is a polarized society inevitable, where people choose to be exposed to only political news and commentary that reinforces their existing viewpoints? We examine the relationship between the numbers of supporting and challenging items in a collection of political opinion items and readers' satisfaction, and then evaluate whether simple presentation techniques such as highlighting agreeable items or showing them first can increase satisfaction when fewer agreeable items are present. We find individual differences: some people are diversity-seeking while others are challenge-averse. For challenge-averse readers, highlighting appears to make satisfaction with sets of mostly agreeable items more extreme, but does not increase satisfaction overall, and sorting agreeable content first appears to decrease satisfaction rather than increasing it. These findings have important implications for builders of websites that aggregate content reflecting different positions.

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Cited By

Mauri AHsu YVerma HTocchetti ABrambilla MBozzon A(2024)Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-MakingProceedings of the ACM on Human-Computer Interaction10.1145/36869088:CSCW2(1-42)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686908
Jia CLam MMai MHancock JBernstein M(2024)Embedding Democratic Values into Social Media AIs via Societal Objective FunctionsProceedings of the ACM on Human-Computer Interaction10.1145/36410028:CSCW1(1-36)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641002
Sun LZhang HLiu ELiu MVaccaro K(2024)NewsGuesser: Using Curiosity to Reduce Selective ExposureProceedings of the ACM on Human-Computer Interaction10.1145/36373768:CSCW1(1-22)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637376
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Index Terms

Presenting diverse political opinions: how and how much
1. Human-centered computing

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Published In

cover image ACM Conferences

CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2010

2690 pages

ISBN:9781605589299

DOI:10.1145/1753326

General Chair:
Elizabeth Mynatt
Georgia Institute of Technology
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Scott Hudson
Carnegie Mellon University
,
Keith Edwards
Georgia Tech
,
Tom Rodden
University of Nottingham

Copyright © 2010 ACM.

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 ACM 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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Published: 10 April 2010

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April 10 - 15, 2010

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Cited By

Mauri AHsu YVerma HTocchetti ABrambilla MBozzon A(2024)Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-MakingProceedings of the ACM on Human-Computer Interaction10.1145/36869088:CSCW2(1-42)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686908
Jia CLam MMai MHancock JBernstein M(2024)Embedding Democratic Values into Social Media AIs via Societal Objective FunctionsProceedings of the ACM on Human-Computer Interaction10.1145/36410028:CSCW1(1-36)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641002
Sun LZhang HLiu ELiu MVaccaro K(2024)NewsGuesser: Using Curiosity to Reduce Selective ExposureProceedings of the ACM on Human-Computer Interaction10.1145/36373768:CSCW1(1-22)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637376
Sharma NLiao QXiao Z(2024)Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information SeekingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642459(1-17)Online publication date: 11-May-2024
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Rieger ADraws TMattis NMaxwell DElsweiler DGadiraju UMcKay DBozzon APera M(2024)Responsible Opinion Formation on Debated Topics in Web SearchAdvances in Information Retrieval10.1007/978-3-031-56066-8_32(437-465)Online publication date: 15-Mar-2024
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Dey SDuff BKarahalios K(2023)It Is All About Criticism: Understanding the Effect of Social Media Discourse on Legal Crowdfunding CampaignsProceedings of the ACM on Human-Computer Interaction10.1145/35795007:CSCW1(1-37)Online publication date: 16-Apr-2023
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Laban PWu CMurakhovs'Ka LChen XXiong C(2023)Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord QuestionsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581569(1-21)Online publication date: 19-Apr-2023
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