research-article

Events and Controversies: Influences of a Shocking News Event on Information Seeking

Authors:

Paul N. Bennett,

Eric HorvitzAuthors Info & Claims

WWW '15: Proceedings of the 24th International Conference on World Wide Web

Pages 614 - 624

https://doi.org/10.1145/2736277.2741099

Published: 18 May 2015 Publication History

Abstract

It has been suggested that online search and retrieval contributes to the intellectual isolation of users within their preexisting ideologies, where people's prior views are strengthened and alternative viewpoints are infrequently encountered. This so-called "filter bubble" phenomenon has been called out as especially detrimental when it comes to dialog among people on controversial, emotionally charged topics, such as the labeling of genetically modified food, the right to bear arms, the death penalty, and online privacy. We seek to identify and study information-seeking behavior and access to alternative versus reinforcing viewpoints following shocking, emotional, and large-scale news events. We choose for a case study to analyze search and browsing on gun control/rights, a strongly polarizing topic for both citizens and leaders of the United States. We study the period of time preceding and following a mass shooting to understand how its occurrence, follow-on discussions, and debate may have been linked to changes in the patterns of searching and browsing. We employ information-theoretic measures to quantify the diversity of Web domains of interest to users and understand the browsing patterns of users. We use these measures to characterize the influence of news events on these web search and browsing patterns.

References

[1]

Sandy Hook elementary school shooting. http://en.wikipedia.org/wiki/Sandy_Hook_ Elementary_School_shooting. Retrieved 6/10/14.

[2]

Gun Ownership and Use in America. http://www.gallup.com/poll/20098/gun-ownership-use-america.aspx, 2005. Retrieved 7/10/14.

[3]

Firefox vs. Internet Explorer. http://www.comscore.com/Insights/Blog/Firefox-vs.-Internet-Explorer,Firefox-vs-Internet-Explorer-Part-2, 2007. Retrieved 11/6/14.

[4]

Usage share of web browsers. http://thenextweb.com/apps/2012/10/01/internet-explorer-8-falls-25-market-share-firefox-15-passes-10-mark-chrome-loses-users, 2012. Retrieved 3/7/15.

[5]

Lada A. Adamic and Natalie Glance. The political blogosphere and the 2004 U.S. election: divided they blog. In LinkKDD, pages 36--43. ACM, 2005.

Digital Library

[6]

Elif Aktolga and James Allan. Sentiment diversification with different biases. In SIGIR, pages 593--602. ACM, 2013.

Digital Library

[7]

Rawia Awadallah, Maya Ramanath, and Gerhard Weikum. Harmony and dissonance: organizing the people's voices on political controversies. In WSDM, pages 523--532. ACM, 2012.

Digital Library

[8]

Ramnath Balasubramanyan, William W. Cohen, Doug Pierce, and David P. Redlawsk. Modeling polarizing topics: When do different political communities respond differently to the same news? In AAAI ICWSM, 2012.

[9]

P.M. Blau. The American occupational structure. Wiley, 1967.

[10]

Ulrik Brandes, Patrick Kenis, Jürgen Lerner, and Denise van Raaij. Network analysis of collaboration structure in wikipedia. In WWW, pages 731--740, 2009.

Digital Library

[11]

Nick Craswell and Martin Szummer. Random walks on the click graph. In ACM SIGIR, pages 239--246, 2007.

Digital Library

[12]

Martin Ester, Hans peter Kriegel, Jörg S, and Xiaowei Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. pages 226--231. AAAI Press, 1996.

Digital Library

[13]

Yi Fang, Luo Si, Naveen Somasundaram, and Zhengtao Yu. Mining contrastive opinions on political texts using cross-perspective topic model. In WSDM, 2012.

Digital Library

[14]

R Kelly Garrett. Politically motivated reinforcement seeking: Reframing the selective exposure debate. Int. J. Comm., 59(4):676--699, 2009.

[15]

R Kelly Garrett and Paul Resnick. Resisting political fragmentation on the internet. Daedalus, 140(4):108--120, 2011.

[16]

Eric Gilbert, Tony Bergstrom, and Karrie Karahalios. Blogs are echo chambers: Blogs are echo chambers. In HICSS, pages 1--10, 2009.

Digital Library

[17]

Kilem Li Gwet. Handbook of Inter-Rater Reliability (3rd Edition): The Definitive Guide to Measuring the Extent of Agreement Among Multiple Raters. Advanced Analytics Press, 3 edition.

[18]

J.B. Horrigan, K. Garrett, and P. Resnick. The Internet and Democratic Debate. PIALP, 2004.

[19]

Yusuf Jafry and Til Schuermann. Measurement, estimation and comparison of credit migration matrices. J. Bank. Financ., 28(11):2603--2639, November 2004.

[20]

Alexander Kotov, Paul N. Bennett, Ryen W. White, Susan T. Dumais, and Jaime Teevan. Modeling and analysis of cross-session search tasks. In ACM SIGIR, pages 5--14, 2011.

Digital Library

[21]

Vasileios Koutras and Konstantinos Drakos. A migration approach for USA banks' capitalization: Are the 00s the same with the 90s? IRFA, 30(0):131 -- 140, 2013.

[22]

Jingjing Liu, Nicholas J. Belkin, Xiangmin Zhang, and Xiao-Jun Yuan. Examining users' knowledge change in the task completion process. Inf. Process. Manage., 49(5):1058--1074, 2013.

Digital Library

[23]

R. Malouf and T. Mullen. Taking Sides: User Classification for Informal Online Political Discourse. Internet Res., 18(2):177--190, 2008.

[24]

Sean A. Munson, Stephanie Y. Lee, and Paul Resnick. Encouraging reading of diverse political viewpoints with a browser widget. In AAAI ICWSM, 2013.

[25]

Sean A. Munson and Paul Resnick. Presenting diverse political opinions: how and how much. In CHI, pages 1457--1466, 2010.

Digital Library

[26]

Eli Pariser. The Filter Bubble: What the Internet Is Hiding from You. The Penguin Group, 2011.

Digital Library

[27]

S. J. Prais. Measuring Social Mobility. J. Roy. Statist. Soc. Ser. A, 118(1):56--66, 1955.

[28]

Justus J. Randolph. Free-Marginal Multirater Kappa (multirater K{free}): An Alternative to Fleiss' Fixed-Marginal Multirater Kappa. In Joensuu Univ. Learn. Instruct. Symp., 2005.

[29]

Paul Resnick, R. Kelly Garrett, Travis Kriplean, Sean A. Munson, and Natalie Jomini Stroud. Bursting your (filter) bubble: strategies for promoting diverse exposure. In CSCW, pages 95--100. ACM, 2013.

Digital Library

[30]

Hoda Sepehri-Rad and Denilson Barbosa. Identifying controversial articles in wikipedia: A comparative study. In 8th Int. Symp. on Wikis & Open Collab., 2012.

Digital Library

[31]

Claude E. Shannon. A mathematical theory of communication. ATT Thec. J., 27:379--423, 623--656, July, October 1948.

[32]

A. F. Shorrocks. The Measurement of Mobility. Econometrica, 46(5):1013--1024, 1978.

[33]

PM Sommers and J Conlsk. Eigenvalue immobility measures for markov-chains. J. Math. Sociol., 6(2):253--276, 1979.

[34]

Jennifer Stromer-Galley. Diversity of political conversation on the internet: Users' perspectives. J. Computer-Mediated Comm., 8(3), 2003.

[35]

Mikalai Tsytsarau, Themis Palpanas, and Malu Castellanos. Dynamics of news events and social media reaction. In KDD, pages 901--910. ACM, 2014.

Digital Library

[36]

Mikalai Tsytsarau, Themis Palpanas, and Kerstin Denecke. Scalable discovery of contradictions on the web. In WWW, pages 1195--1196, 2010.

Digital Library

[37]

Ryen W. White, Susan T. Dumais, and Jaime Teevan. Characterizing the influence of domain expertise on web search behavior. In WSDM, pages 132--141, 2009.

Digital Library

[38]

E. Yom-Tov, S.T. Dumais, and Q. Gao. Promoting civil discourse through search engine diversity. In QPOL, 2013.

[39]

B. Yu, S. Kaufmann, and D. Diermeier. Classifying party affiliation from political speech. JITP, 5(1):33--48, 2008.

[40]

Daniel Xiaodan Zhou, Paul Resnick, and Qiaozhu Mei. Classifying the political leaning of news articles and users from user votes. In AAAI ICWSM, 2011.

Cited By

Engel KHua YZeng TNaaman M(2022)Characterizing Reddit Participation of Users Who Engage in the QAnon Conspiracy TheoriesProceedings of the ACM on Human-Computer Interaction10.1145/35129006:CSCW1(1-22)Online publication date: 7-Apr-2022
https://dl.acm.org/doi/10.1145/3512900
Koncar PWalk SHelic D(2021)Analysis and Prediction of Multilingual Controversy on RedditProceedings of the 13th ACM Web Science Conference 202110.1145/3447535.3462481(215-224)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3447535.3462481
Phadke SSamory MMitra T(2021)What Makes People Join Conspiracy Communities?Proceedings of the ACM on Human-Computer Interaction10.1145/34329224:CSCW3(1-30)Online publication date: 5-Jan-2021
https://dl.acm.org/doi/10.1145/3432922
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Index Terms

Events and Controversies: Influences of a Shocking News Event on Information Seeking
1. Information systems
  1. Information systems applications
    1. Data mining

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Information & Contributors

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Published In

cover image ACM Other conferences

WWW '15: Proceedings of the 24th International Conference on World Wide Web

May 2015

1460 pages

ISBN:9781450334693

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Copyright © 2015 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 18 May 2015

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WWW '15

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WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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WWW '15 Paper Acceptance Rate 131 of 929 submissions, 14%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Engel KHua YZeng TNaaman M(2022)Characterizing Reddit Participation of Users Who Engage in the QAnon Conspiracy TheoriesProceedings of the ACM on Human-Computer Interaction10.1145/35129006:CSCW1(1-22)Online publication date: 7-Apr-2022
https://dl.acm.org/doi/10.1145/3512900
Koncar PWalk SHelic D(2021)Analysis and Prediction of Multilingual Controversy on RedditProceedings of the 13th ACM Web Science Conference 202110.1145/3447535.3462481(215-224)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3447535.3462481
Phadke SSamory MMitra T(2021)What Makes People Join Conspiracy Communities?Proceedings of the ACM on Human-Computer Interaction10.1145/34329224:CSCW3(1-30)Online publication date: 5-Jan-2021
https://dl.acm.org/doi/10.1145/3432922
Gerritse EHasibi Fde Vries ABalog KSetty VLioma CLiu YZhang MBerberich K(2020)Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge GraphProceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval10.1145/3409256.3409834(133-136)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.1145/3409256.3409834
Sharevski FJachim PFlorek KVolkamer MWressnegger C(2020)To tweet or not to tweetProceedings of the 15th International Conference on Availability, Reliability and Security10.1145/3407023.3407025(1-12)Online publication date: 25-Aug-2020
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Zamani HMitra BChen ELueck GDiaz FBennett PCraswell NDumais SHuang JChang YCheng XKamps JMurdock VWen JLiu Y(2020)Analyzing and Learning from User Interactions for Search ClarificationProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3397271.3401160(1181-1190)Online publication date: 25-Jul-2020
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Ruiu M(2020)Persistence of Scepticism in Media Reporting on Climate Change: The Case of British NewspapersEnvironmental Communication10.1080/17524032.2020.1775672(1-15)Online publication date: 19-Jun-2020
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Lin YChung W(2020)The dynamics of Twitter users’ gun narratives across major mass shooting eventsHumanities and Social Sciences Communications10.1057/s41599-020-00533-87:1Online publication date: 3-Aug-2020
https://doi.org/10.1057/s41599-020-00533-8
Papadakos PKonstantakis G(2020)bias goggles: Graph-Based Computation of the Bias of Web Domains Through the Eyes of UsersAdvances in Information Retrieval10.1007/978-3-030-45439-5_52(790-804)Online publication date: 8-Apr-2020
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Kulshrestha JEslami MMessias JZafar MGhosh SGummadi KKarahalios K(2019)Search bias quantificationInformation Retrieval10.1007/s10791-018-9341-222:1-2(188-227)Online publication date: 1-Apr-2019
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