poster

Fake News in the News: An Analysis of Partisan Coverage of the Fake News Phenomenon

Authors:

Xunru Che,

Danaë Metaxa-Kakavouli,

Jeffrey T. HancockAuthors Info & Claims

CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 289 - 292

https://doi.org/10.1145/3272973.3274079

Published: 30 October 2018 Publication History

Get Access

Abstract

Since the 2016 U.S. election cycle, "fake news" (a term describing verifiably false and misleading news articles) has garnered increasing public attention. This work sheds insight onto this phenomenon by examining the way 10 popular partisan media sites discuss "fake news". We use linguistic analysis techniques including Linguistic Inquiry and Word Count (LIWC), word embedding models, and supervised learning classifiers to analyze news stories containing the phrase "fake news" from left- and right-leaning news sites. Our results yield several insights, including that article text can be used to classify political affiliation with high accuracy, and that left-leaning sites focus on specific fake news stories and individuals involved, while right-leaning sites shift the focus to a narrative of mainstream media dishonesty more broadly.

Supplementary Material

ZIP File (cscwp089.zip)

Poster

Download
997.84 KB

References

[1]

Hunt Allcott and Matthew Gentzkow. 2017. Social Media and Fake News in the 2016 Election. Journal of Economic Perspectives 31, 2 (May 2017), 211--36.

Crossref

Google Scholar

[2]

Yochai Benkler, Robert Faris, Hal Roberts, and Ethan Zuckerman. 2017. Study: Breitbart-led right-wing media ecosystem altered broader media agenda. Columbia Journalism Review (2017).

Google Scholar

[3]

Matthew Gentzkow, Jesse M. Shapiro, and Matt Taddy. 2016. Measuring Polarization in High-Dimensional Data: Method and Application to Congressional Speech. Working Paper 22423. National Bureau of Economic Research.

Google Scholar

[4]

Alice Marwick and Rebecca Lewis. 2015. Media Manipulation and Disinformation Online. Technical Report. Data & Society Research Institute.

Google Scholar

[5]

Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and Their Compositionality. In Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2 (NIPS'13). Curran Associates Inc., USA, 3111--3119.

Digital Library

Google Scholar

[6]

Craig Silverman. 2016. This Analysis Shows how Fake Election News Stories Outperformed Real News on Facebook. Buzzfeed News (2016).

Google Scholar

[7]

Craig Silverman and Jeremy Singer-Vine. 2016. Most Americans Who See Fake News Believe It, New Survey Says. BuzzFeed News (2016).

Google Scholar

[8]

Yla R. Tausczik and James W. Pennebaker. 2010. The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods. Journal of Language and Social Psychology 29, 1 (2010), 24--54.

Crossref

Google Scholar

Cited By

View all

Moore RDahlke RForberg PHancock J(2024)The Private Life of QAnon: A Mixed Methods Investigation of Americans' Exposure to QAnon Content on the WebProceedings of the ACM on Human-Computer Interaction10.1145/36870578:CSCW2(1-34)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687057
Shrestha ADuran JSpezzano FSerra E(2023)Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional NetworksACM Transactions on the Web10.1145/361741818:1(1-24)Online publication date: 11-Oct-2023
https://dl.acm.org/doi/10.1145/3617418
Moran RProchaska SGrasso ISchlegel I(2023)Navigating Information-Seeking in Conspiratorial Waters: Anti-Trafficking Advocacy and Education Post QAnonProceedings of the ACM on Human-Computer Interaction10.1145/35795107:CSCW1(1-27)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579510
Show More Cited By

Index Terms

Fake News in the News: An Analysis of Partisan Coverage of the Fake News Phenomenon
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

What happened? The Spread of Fake News Publisher Content During the 2016 U.S. Presidential Election
WWW '19: The World Wide Web Conference

The spread of content produced by fake news publishers was one of the most discussed characteristics of the 2016 U.S. Presidential Election. Yet, little is known about the prevalence and focus of such content, how its prevalence changed over time, and ...
Multidimensional Analysis of Fake News Spreaders on Twitter
Computational Data and Social Networks
Abstract
Social media has become a tool to spread false information with the help of its large complex network. The consequences of such misinformation could be very severe. The paper uses the Twitter conversations about the scrapping of Article 370 in ...
Satire or Fake News: Social Media Consumers' Socio-Demographics Decide
WWW '18: Companion Proceedings of the The Web Conference 2018

Ever since the surprising results from the 2016 U.S. presidential race, the subject of Fake News in our worldwide media consumption has grown steadily. On a smaller scale, mainstream media have taken a closer look at the relatively narrow genre of ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing

October 2018

518 pages

ISBN:9781450360180

DOI:10.1145/3272973

General Chairs:
Vanessa Evers
University of Twente
,
Mor Naaman
Cornell Tech
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Karrie Karahalios
University of Illinois
,
Airi Lampinen
Stockholm University
,
Andrés Monroy-Hernández
Snap, Inc.

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2018

Check for updates

Author Tags

Qualifiers

Poster

Conference

CSCW '18

Sponsor:

SIGCHI

CSCW '18: Computer Supported Cooperative Work and Social Computing

November 3 - 7, 2018

NJ, Jersey City, USA

Acceptance Rates

CSCW '18 Companion Paper Acceptance Rate 105 of 385 submissions, 27%;

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

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

16
Total Citations
View Citations
854
Total Downloads

Downloads (Last 12 months)52
Downloads (Last 6 weeks)1

Reflects downloads up to 23 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Moore RDahlke RForberg PHancock J(2024)The Private Life of QAnon: A Mixed Methods Investigation of Americans' Exposure to QAnon Content on the WebProceedings of the ACM on Human-Computer Interaction10.1145/36870578:CSCW2(1-34)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687057
Shrestha ADuran JSpezzano FSerra E(2023)Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional NetworksACM Transactions on the Web10.1145/361741818:1(1-24)Online publication date: 11-Oct-2023
https://dl.acm.org/doi/10.1145/3617418
Moran RProchaska SGrasso ISchlegel I(2023)Navigating Information-Seeking in Conspiratorial Waters: Anti-Trafficking Advocacy and Education Post QAnonProceedings of the ACM on Human-Computer Interaction10.1145/35795107:CSCW1(1-27)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579510
Wetherell GThompson JVallejo ILanning K(2023)One nation, under war: Did the language of Fox News and MSNBC converge during the invasion of Ukraine?Analyses of Social Issues and Public Policy10.1111/asap.1235723:2(495-512)Online publication date: 24-Jul-2023
https://doi.org/10.1111/asap.12357
Lawo DNeifer TEsau MStevens G(2023)Human-Centred Digital Sovereignty: Explorative Conceptual Model and Ways ForwardComputer-Human Interaction Research and Applications10.1007/978-3-031-49368-3_6(84-103)Online publication date: 23-Dec-2023
https://doi.org/10.1007/978-3-031-49368-3_6
Pirani RMohammed E(2023)Efficient Fake News Detection Method Using Feature Reduction5th International Conference on Wireless, Intelligent and Distributed Environment for Communication10.1007/978-3-031-33242-5_1(1-14)Online publication date: 30-Jul-2023
https://doi.org/10.1007/978-3-031-33242-5_1
Ding YGuo BLiu YLiang YShen HYu Z(2022)MetaDetector: Meta Event Knowledge Transfer for Fake News DetectionACM Transactions on Intelligent Systems and Technology10.1145/353285113:6(1-25)Online publication date: 22-Sep-2022
https://dl.acm.org/doi/10.1145/3532851
Pasquetto IOlivieri ATacchetti LRiotta GSpada A(2022)Disinformation as Infrastructure: Making and Maintaining the QAnon Conspiracy on Italian Digital MediaProceedings of the ACM on Human-Computer Interaction10.1145/35129316:CSCW1(1-31)Online publication date: 7-Apr-2022
https://dl.acm.org/doi/10.1145/3512931
Kim BXiong ALee DHan K(2021)A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directionsPLOS ONE10.1371/journal.pone.026008016:12(e0260080)Online publication date: 9-Dec-2021
https://doi.org/10.1371/journal.pone.0260080
Guilbeault DWoolley SBecker J(2021)Probabilistic social learning improves the public’s judgments of news veracityPLOS ONE10.1371/journal.pone.024748716:3(e0247487)Online publication date: 9-Mar-2021
https://doi.org/10.1371/journal.pone.0247487
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.

PDF

eReader

View online with eReader.

eReader

Abstract

Supplementary Material

References

Cited By

Index Terms

Recommendations

What happened? The Spread of Fake News Publisher Content During the 2016 U.S. Presidential Election

Multidimensional Analysis of Fake News Spreaders on Twitter

Satire or Fake News: Social Media Consumers' Socio-Demographics Decide

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations