research-article

Breaking news on twitter

Authors:

Kwan-Liu MaAuthors Info & Claims

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2751 - 2754

https://doi.org/10.1145/2207676.2208672

Published: 05 May 2012 Publication History

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Abstract

After the news of Osama Bin Laden's death leaked through Twitter, many people wondered if Twitter would fundamentally change the way we produce, spread, and consume news. In this paper we provide an in-depth analysis of how the news broke and spread on Twitter. We confirm the claim that Twitter broke the news first, and find evidence that Twitter had convinced a large number of its audience before mainstream media confirmed the news. We also discover that attention on Twitter was highly concentrated on a small number of "opinion leaders" and identify three groups of opinion leaders who played key roles in spreading the news: individuals affiliated with media played a large part in breaking the news, mass media brought the news to a wider audience and provided eager Twitter users with content on external sites, and celebrities helped to spread the news and stimulate conversation. Our findings suggest Twitter has great potential as a news medium.

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Cited By

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Li JBin YMa YYang YHuang ZChua T(2024)Filter-based Stance Network for Rumor VerificationACM Transactions on Information Systems10.1145/364946242:4(1-28)Online publication date: 26-Feb-2024
https://dl.acm.org/doi/10.1145/3649462
Öney SAbdelaal MKurzhals KBetz PKropp CWeiskopf D(2024)Testing the Test: Observations When Assessing Visualization Literacy of Domain Experts2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)10.1109/BELIV64461.2024.00017(106-114)Online publication date: 14-Oct-2024
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Index Terms

Breaking news on twitter
1. Human-centered computing

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Published In

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2012

3276 pages

ISBN:9781450310154

DOI:10.1145/2207676

General Chair:
Joseph A. Konstan
University of Minnesota
,
Program Chairs:
Ed H. Chi
Google
,
Kristina Höök
Mobile Life at KTH

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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Association for Computing Machinery

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Publication History

Published: 05 May 2012

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CHI '12: CHI Conference on Human Factors in Computing Systems

May 5 - 10, 2012

Texas, Austin, USA

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

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Cited By

View all

Li JBin YMa YYang YHuang ZChua T(2024)Filter-based Stance Network for Rumor VerificationACM Transactions on Information Systems10.1145/364946242:4(1-28)Online publication date: 26-Feb-2024
https://dl.acm.org/doi/10.1145/3649462
Öney SAbdelaal MKurzhals KBetz PKropp CWeiskopf D(2024)Testing the Test: Observations When Assessing Visualization Literacy of Domain Experts2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)10.1109/BELIV64461.2024.00017(106-114)Online publication date: 14-Oct-2024
https://doi.org/10.1109/BELIV64461.2024.00017
Succar RRamallo SDas RVentura RPorfiri M(2024)Understanding the role of media in the formation of public sentiment towards the policeCommunications Psychology10.1038/s44271-024-00059-82:1Online publication date: 7-Feb-2024
https://doi.org/10.1038/s44271-024-00059-8
Brannon WRoy D(2024)The speed of news in Twitter (X) versus radioScientific Reports10.1038/s41598-024-61921-714:1Online publication date: 24-May-2024
https://doi.org/10.1038/s41598-024-61921-7
Falkenberg MZollo FQuattrociocchi WPfeffer JBaronchelli A(2024)Patterns of partisan toxicity and engagement reveal the common structure of online political communication across countriesNature Communications10.1038/s41467-024-53868-015:1Online publication date: 14-Nov-2024
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Zeng CChen X(2024)Will Creative Labor Lost Their Jobs? A Social Informatics Study of the “No to AI Generated Images” CampaignInformation Management10.1007/978-3-031-64359-0_8(93-105)Online publication date: 18-Jul-2024
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Meyer HPeach AGuenther LKedar HBrüggemann M(2023)Between Calls for Action and Narratives of Denial: Climate Change Attention Structures on TwitterMedia and Communication10.17645/mac.v11i1.611111:1(278-292)Online publication date: 27-Mar-2023
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Knittel JKoch STang TChen WWu YLiu SErtl T(2022)Real-Time Visual Analysis of High-Volume Social Media PostsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311480028:1(879-889)Online publication date: 1-Jan-2022
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