research-article

Understanding Online News Behaviors

Authors:

Jordan Wirfs-Brock,

Melissa BicaAuthors Info & Claims

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: 590, Pages 1 - 11

https://doi.org/10.1145/3290605.3300820

Published: 02 May 2019 Publication History

Abstract

The news landscape has been changing dramatically over the past few years. Whereas news once came from a small set of highly edited sources, now people can find news from thousands of news sites online, through a variety of channels such as web search, social media, email newsletters, or direct browsing. We set out to understand how Americans read news online using web browser logs collected from 174 diverse participants. We found that 20% of all news sessions started with a web search, that 16% started from social media, that 61% of news sessions only involved a single news domain, and that 47% of our participants read news from both sides of the political spectrum. We conclude with key implications for online news, social media, and search sites to encourage more balanced news browsing.

References

[1]

Rachel Weisel Amy Mitchell. 2014. Political Polarization and Media Habits: From Fox News to Facebook, How Liberals and Conservatives Keep Up with Politics. (2014). http://assets.pewresearch.org/wp-content/uploads/sites/13/2014/10/Political-Polarization-and-Media-Habits-FINAL-REPORT-7--27--15. pdf

[2]

Michael Barthel. 2017. Despite subscription surges for largest U.S. newspapers, circulation and revenue fall for industry overall. (2017). http://www.pewresearch.org/fact-tank/2017/06/01/circulation-and-revenue-fall-for-newspaper-industry/

[3]

Frank R. Bentley, Nediyana Daskalova, and Brooke White. 2017. Comparing the Reliability of Amazon Mechanical Turk and Survey Monkey to Traditional Market Research Surveys. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '17). ACM, New York, NY, USA, 1092--1099.

Digital Library

[4]

Juan Pablo Carrascal, Christopher Riederer, Vijay Erramilli, Mauro Cherubini, and Rodrigo de Oliveira. 2013. Your Browsing Behavior for a Big Mac: Economics of Personal Information Online. In Proceedings of the 22Nd International Conference on World Wide Web (WWW '13). ACM, New York, NY, USA, 189--200.

Digital Library

[5]

Steven Chaffee and Stacey Frank. 1996. How Americans get political information: Print versus broadcast news. The Annals of the American Academy of Political and Social Science 546, 1 (1996), 48--58.

[6]

ComScore. 2018. ComScore Media Metrix report for News/Information. (6 2018). https://mymetrix.comscore.com

[7]

Michael Dimock. 2014. Political Polarization in the American Public. (2014). http://www.people-press.org/2014/06/12/political-polarization-in-the-american-public/

[8]

Carol Dougherty. 2017. Political Polarization, 19942017. (2017). http://www.people-press.org/interactives/political-polarization-1994--2017/

[9]

Nina Eliasoph. 1998. Avoiding politics: How Americans produce apathy in everyday life. Cambridge University Press.

[10]

Robert Faris, Hal Roberts, Bruce Etling, Nikki Bourassa, Ethan Zuckerman, and Yochai Benkler. 2017. Partisanship, propaganda, and disinformation: Online media and the 2016 US presidential election. (2017).

[11]

Seth Flaxman, Sharad Goel, and Justin M Rao. 2016. Filter bubbles, echo chambers, and online news consumption. Public opinion quarterly 80, S1 (2016), 298--320.

[12]

Martin Flintham, Christian Karner, Khaled Bachour, Helen Creswick, Neha Gupta, and Stuart Moran. 2018. Falling for Fake News: Investigating the Consumption of News via Social Media. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 376, 10 pages.

Digital Library

[13]

Gallup. 2018. Party Affiliation. (2018). https://news.gallup.com/poll/15370/party-affiliation.aspx

[14]

Gallup. 2018. Presidential Approval Ratings - Donald Trump. (2018). https://news.gallup.com/poll/203198/presidential-approval-ratings-donald-trump.aspx

[15]

Sharad Goel, Jake M Hofman, and M Irmak Sirer. 2012. Who Does What on the Web: A Large-Scale Study of Browsing Behavior. In ICWSM.

[16]

Martijn Kleppe and Marco Otte. 2017. Analysing and understanding news consumption patterns by tracking online user behaviour with a multimodal research design. Digital Scholarship in the Humanities 32, suppl_2 (2017), ii158--ii170.

[17]

Mounia Lalmas, Heather O'Brien, and Elad Yom-Tov. 2014. Measuring User Engagement. Morgan & Claypool Publishers. Synthesis Lectures on Information Concepts, Retrieval, and Services.

Digital Library

[18]

Danielle Lottridge and Frank R. Bentley. 2018. Let's Hate Together: How People Share News in Messaging, Social, and Public Networks. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 60, 13 pages.

Digital Library

[19]

Eli Pariser. 2011. The filter bubble: How the new personalized web is changing what we read and how we think. Penguin.

Digital Library

[20]

Markus Prior. 2007. Post-broadcast democracy: How media choice increases inequality in political involvement and polarizes elections. Cambridge University Press.

[21]

Kristen Purcell, Lee Rainie, Amy Mitchell, Tom Rosenstiel, and Kenny Olmstead. 2010. Understanding the participatory news consumer. Pew Internet and American Life Project 1 (2010), 19--21.

[22]

Paul Resnick, R. Kelly Garrett, Travis Kriplean, Sean A. Munson, and Natalie Jomini Stroud. 2013. Bursting Your (Filter) Bubble: Strategies for Promoting Diverse Exposure. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work Companion (CSCW '13). ACM, New York, NY, USA, 95--100.

Digital Library

[23]

David Tewksbury. 2003. What do Americans really want to know? Tracking the behavior of news readers on the Internet. Journal of communication 53, 4 (2003), 694--710.

[24]

David Tewksbury, Michelle L Hals, and Allyson Bibart. 2008. The efficacy of news browsing: The relationship of news consumption style to social and political efficacy. Journalism & Mass Communication Quarterly 85, 2 (2008), 257--272.

[25]

Brian E Weeks and R Lance Holbert. 2013. Predicting dissemination of news content in social media: A focus on reception, friending, and partisanship. Journalism & Mass Communication Quarterly 90, 2 (2013), 212--232.

Cited By

Aubin Le Quéré MTran LBerger ANguyen CVenkatesan RXu YSorokina ANaaman M(2024)An Article a Day: Towards Personal Informatics for Healthy News ConsumptionExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650854(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650854
Aslanbeigui NRamirez KPetchel J(2024)Sex-based misconduct, media exposure, and gender diversity: evidence from the US information technology boards of directorsJournal of Management and Governance10.1007/s10997-024-09718-8Online publication date: 24-Aug-2024
https://doi.org/10.1007/s10997-024-09718-8
Freelon DPruden MMalmer DWu QXia YJohnson DChen ECrist A(2024) What's in your PIE ? Understanding the contents of personalized information environments with PIEGraph Journal of the Association for Information Science and Technology10.1002/asi.2486975:10(1119-1133)Online publication date: 12-Jan-2024
https://doi.org/10.1002/asi.24869
Show More Cited By

Index Terms

Understanding Online News Behaviors
1. Applied computing
  1. Arts and humanities
    1. Media arts
2. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social media
  2. Human computer interaction (HCI)
    1. Empirical studies in HCI

Recommendations

Trust in online news: comparing social media and official media use by chinese citizens
CSCW '13: Proceedings of the 2013 conference on Computer supported cooperative work

Since 2006 social media use has grown dramatically in China. Social media has become a stage for citizens to report and disseminate news and to vocalize viewpoints, at times competing with reports from highly curated official media sources. These ...
Motivations and habits of micro-news consumption on mobile social media
Highlights
- Micro-news on social media are short summaries of news content.
- Survey of U.S. ...
Abstract
Micro-news are abbreviated summaries or teasers of news content that are often accompanied with links to longer articles. We investigated motivations and habits of micro-news consumption through mobile social media platforms and how ...
Incidental exposure to online news
ASIS&T '10: Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47

News readership is shifting to the Internet because of accessibility, inexpensive technology, and free content. The prevalence of news on the Web provides opportunities for people to come across news in an incidental way as a byproduct of their online ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

9077 pages

ISBN:9781450359702

DOI:10.1145/3290605

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Copyright © 2019 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]

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 May 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CHI '19

Sponsor:

SIGCHI

CHI '19: CHI Conference on Human Factors in Computing Systems

May 4 - 9, 2019

Glasgow, Scotland Uk

Acceptance Rates

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

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

33
Total Citations
View Citations
1,048
Total Downloads

Downloads (Last 12 months)126
Downloads (Last 6 weeks)13

Reflects downloads up to 30 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Aubin Le Quéré MTran LBerger ANguyen CVenkatesan RXu YSorokina ANaaman M(2024)An Article a Day: Towards Personal Informatics for Healthy News ConsumptionExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650854(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650854
Aslanbeigui NRamirez KPetchel J(2024)Sex-based misconduct, media exposure, and gender diversity: evidence from the US information technology boards of directorsJournal of Management and Governance10.1007/s10997-024-09718-8Online publication date: 24-Aug-2024
https://doi.org/10.1007/s10997-024-09718-8
Freelon DPruden MMalmer DWu QXia YJohnson DChen ECrist A(2024) What's in your PIE ? Understanding the contents of personalized information environments with PIEGraph Journal of the Association for Information Science and Technology10.1002/asi.2486975:10(1119-1133)Online publication date: 12-Jan-2024
https://doi.org/10.1002/asi.24869
Blassnig SMitova EPfiffner NReiss M(2023)Googling Referendum Campaigns: Analyzing Online Search Patterns Regarding Swiss Direct-Democratic VotesMedia and Communication10.17645/mac.v11i1.603011:1(19-30)Online publication date: 31-Jan-2023
https://doi.org/10.17645/mac.v11i1.6030
von Nordheim GBettels-Schwabbauer TKleinen-von Königslöw KBarczyszyn-Madziarz PBudivska HDi Salvo PDingerkus FGuazina LKrobea Asante KKuś MLábová SMatei AMerkovity NPaulino FPetrovszki-Oláh LSerwornoo MValente JWake AZakinszky Toma V(2023)The different worlds of Google – A comparison of search results on conspiracy theories in 12 countriesConvergence: The International Journal of Research into New Media Technologies10.1177/13548565231203102Online publication date: 20-Nov-2023
https://doi.org/10.1177/13548565231203102
Lascău LBrumby DGould SCox A(2023)“Sometimes It’s Like Putting the Track in Front of the Rushing Train”: Having to Be ‘On Call’ for Work Limits the Temporal Flexibility of CrowdworkersACM Transactions on Computer-Human Interaction10.1145/363514531:2(1-45)Online publication date: 4-Dec-2023
https://dl.acm.org/doi/10.1145/3635145
Lin CWu CHuang PLai YHo YChung CChang Y(2023)Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News-reading ModesProceedings of the ACM on Human-Computer Interaction10.1145/36042687:MHCI(1-26)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604268
Liao JSingh MWang H(2023)DeepThinkingMap: Collaborative Video Reflection System with Graph-based Summarizing and CommentingCompanion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3584931.3607501(369-371)Online publication date: 14-Oct-2023
https://dl.acm.org/doi/10.1145/3584931.3607501
Wang LRzeszotarski J(2023)Understanding Motivational Factors in Social Media News Sharing DecisionsProceedings of the ACM on Human-Computer Interaction10.1145/35795387:CSCW1(1-30)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579538
Aubin Le Quéré M(2023)The Modern Informed Citizen: Understanding Trade-offs in Digital News ConsumptionExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3577051(1-4)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3577051
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Figures

Tables

Media

View Table of Conten