By Topic

Effectiveness of information retraction

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Hui, C. ; Dept. of Ind. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA ; Magdon-Ismail, M. ; Goldberg, M. ; Wallace, W.A.

In this work, we study the effectiveness of information retraction in situations where information being spread requires recipients to make a decision or take an action. Consider the scenario where information is introduced into a network, advising recipients to take an action. If at a later time, the information is found to be inaccurate and the action is unnecessary, it becomes a concern to cease the information from spreading any further and stop people from taking the action. The spread of inaccurate information can lead to confusion and mistrust, and therefore it is important to be able to quickly impede or retract inaccurate information, if needed to at a later time. We investigate the idea of introducing counter messages into a network to interfere with an ongoing diffusion and stop the action that was prescribed by the previous messages. These counter messages are diffusive themselves and may spread through the network based on the recipient's evaluation of the information. We present an empirical framework for modeling the spread of actionable information and information retraction. Using the framework, we perform preliminary experiments to investigate strategies for broadcasting the counter message, in particular, how to identify individuals that should receive the counter message directly from the information source. There is a trade off between a fast effective spread of actionable information and the ability to retract the information. Findings also suggest that alternate strategies will have to be explored to incorporate group structures and the distribution of trust in designing a useful abort mechanism.

Published in:

Network Science Workshop (NSW), 2011 IEEE

Date of Conference:

22-24 June 2011