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Using TwitterTrails.com to Investigate Rumor Propagation

Published: 28 February 2015 Publication History

Abstract

Social media have become part of modern news reporting, used by journalists to spread information and find sources, or as a news source by individuals. The quest for prominence and recognition on social media sites like Twitter can sometimes eclipse accuracy and lead to the spread of false information. As a way to study and react to this trend, we demo TWITTERTRAILS, an interactive, web-based tool (twittertrails.com) that allows users to investigate the origin and propagation characteristics of a rumor and its refutation, if any, on Twitter. Visualizations of burst activity, propagation timeline, retweet and co-retweeted networks help its users trace the spread of a story. Within minutes TWITTERTRAILS will collect relevant tweets and automatically answer several important questions regarding a rumor: its originator, burst characteristics, propagators and main actors according to the audience. In addition, it will compute and report the rumor's level of visibility and, as an example of the power of crowdsourcing, the audience's skepticism towards it which correlates with the rumor's credibility. We envision TWITTERTRAILS as valuable tool for individual use, and especially for amateur and professional journalists investigating recent and breaking stories.

References

[1]
N. Diakopoulos, S. Goldenberg, and I. Essa. Videolyzer: Quality analysis of online informational video for bloggers and journalists. In ACM CHI, 2009.
[2]
A. Marcus, M. Bernstein, O. Badar, D. Karger, S. Madden, and R. Miller. Twitinfo: Aggregating and visualizing microblogs for event exploration. In ACM CHI, 2011.

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  • (2024)A Literature Review on Detecting, Verifying, and Mitigating Online MisinformationIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.328903111:4(5119-5145)Online publication date: Aug-2024
  • (2024)Synews: a synergy-based rumor verification systemSocial Network Analysis and Mining10.1007/s13278-024-01214-z14:1Online publication date: 15-Mar-2024
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Published In

cover image ACM Conferences
CSCW'15 Companion: Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing
February 2015
350 pages
ISBN:9781450329460
DOI:10.1145/2685553
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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 February 2015

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Author Tags

  1. information propagation
  2. social media
  3. twitter
  4. twittertrails

Qualifiers

  • Demonstration

Funding Sources

  • Wellesley Science Trustees Fund
  • National Science Foundation

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CSCW '15
Sponsor:

Acceptance Rates

CSCW'15 Companion Paper Acceptance Rate 161 of 575 submissions, 28%;
Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

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  • (2024)The function of competitive intelligence in South African insurance post-COVID-19 outbreakSA Journal of Information Management10.4102/sajim.v26i1.173826:1Online publication date: 19-Jan-2024
  • (2024)A Literature Review on Detecting, Verifying, and Mitigating Online MisinformationIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.328903111:4(5119-5145)Online publication date: Aug-2024
  • (2024)Synews: a synergy-based rumor verification systemSocial Network Analysis and Mining10.1007/s13278-024-01214-z14:1Online publication date: 15-Mar-2024
  • (2023)Understanding the Rigidity of Beliefs in Temporal Social Networks2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)10.1109/ACIIW59127.2023.10388085(1-5)Online publication date: 10-Sep-2023
  • (2023)Ethical and safety considerations in automated fake news detectionBehaviour & Information Technology10.1080/0144929X.2023.2285949(1-22)Online publication date: 4-Dec-2023
  • (2022)True or False: Studying the Work Practices of Professional Fact-CheckersProceedings of the ACM on Human-Computer Interaction10.1145/35129746:CSCW1(1-44)Online publication date: 7-Apr-2022
  • (2022)Fighting post-truth using natural language processingExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.112943141:COnline publication date: 21-Apr-2022
  • (2021)Rumor surveillance methods in outbreaks: A systematic literature reviewHealth Promotion Perspectives10.34172/hpp.2021.0311:1(12-19)Online publication date: 7-Feb-2021
  • (2021)Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated ContentProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445266(1-18)Online publication date: 6-May-2021
  • (2021)Using Text Semantic Mining to Calculate Emotional Heat of Social Network Nodes2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)10.1109/ECICE52819.2021.9645671(108-111)Online publication date: 29-Oct-2021
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