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A Computational Framework for Media Bias Mitigation

Published: 01 June 2012 Publication History

Abstract

Bias in the news media is an inherent flaw of the news production process. The bias often causes a sharp increase in political polarization and in the cost of conflict on social issues such as the Iraq war. This article presents NewsCube, a novel Internet news service which aims to mitigate the effect of media bias. NewsCube automatically creates and promptly provides readers with multiple classified views on a news event. As such, it helps readers understand the event from a plurality of views and to formulate their own, more balanced, viewpoints. The media bias problem has been studied extensively in mass communications and social science. This article reviews related mass communication and journalism studies and provides a structured view of the media bias problem and its solution. We propose media bias mitigation as a practical solution and demonstrate it through NewsCube. We evaluate and discuss the effectiveness of NewsCube through various performance studies.

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Published In

cover image ACM Transactions on Interactive Intelligent Systems
ACM Transactions on Interactive Intelligent Systems  Volume 2, Issue 2
June 2012
133 pages
ISSN:2160-6455
EISSN:2160-6463
DOI:10.1145/2209310
Issue’s Table of Contents
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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Publication History

Published: 01 June 2012
Accepted: 01 February 2012
Revised: 01 December 2011
Received: 01 January 2011
Published in TIIS Volume 2, Issue 2

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Author Tags

  1. Media bias
  2. aspect-level browsing
  3. news
  4. news distribution service

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  • (2023)NewsComp: Facilitating Diverse News Reading through Comparative AnnotationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581244(1-17)Online publication date: 19-Apr-2023
  • (2023)A commonsense-infused language-agnostic learning framework for enhancing prediction of political bias in multilingual news headlinesKnowledge-Based Systems10.1016/j.knosys.2023.110838277:COnline publication date: 9-Oct-2023
  • (2019)A computational investigation of the propaganda modelACM SIGWEB Newsletter10.1145/3293874.32938772019:Winter(1-4)Online publication date: 19-Feb-2019
  • (2019)Understanding news outlets’ audience-targeting patternsEPJ Data Science10.1140/epjds/s13688-019-0194-88:1Online publication date: 14-May-2019
  • (2019)Perspective-based search: a new paradigm for bursting the information bubbleFACETS10.1139/facets-2019-00024:1(350-388)Online publication date: Jun-2019
  • (2018)Power structure in Chilean news mediaPLOS ONE10.1371/journal.pone.019715013:6(e0197150)Online publication date: 6-Jun-2018
  • (2018)On the nature of real and perceived bias in the mainstream mediaPLOS ONE10.1371/journal.pone.019376513:3(e0193765)Online publication date: 23-Mar-2018
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  • (2017)The Nature of Real and Perceived Bias in Chilean MediaProceedings of the 28th ACM Conference on Hypertext and Social Media10.1145/3078714.3078724(95-104)Online publication date: 4-Jul-2017
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