The annual Web Science Trust (WST) Test of Time Award has been awarded to Nam P. Nguyen (Towson University), Guanhua Yan (Binghamton University), My T. Thai (University of Florida) and Stephan Eidenbenz (Los Alamos National Laboratory) for their work titled “Containment of Misinformation Spread in Online Social Networks”. The authors are the second group of researchers being awarded the WST Test of Time Award.
The award was announced during the awards ceremony of the 15th ACM Web Science Conference, adding a ceremonial highlight to a successful conference in Austin, Texas.
The paper was first presented at the 2012 ACM Web Science Conference in Evanston, Illinois and selected by a WST Test of Time Award Committee. The Committee selected the work on a method for containing the spread of misinformation in social networks for its continued high impact and relevance and timeliness in today’s world. The Committee said the following on its choice: “Our rationale was that the paper tackles an important problem via theoretical (mathematical) ground work, simulation, and data analysis and most importantly it finishes with some pragmatic solutions.”
The recipients of this year’s award follow in the steps of Munmun De Choudhury (Georgia Tech), Scott Counts (Microsoft Research) and Eric Horvitz (Microsoft Research) who were presented with last year’s inaugural award.
Dame Wendy Hall, Executive Director of the Web Science Trust, who announced the winners of the award during the awards ceremony, said: “The Web Science Trust is delighted to announce the winners of this year’s Test of Time Award. The paper has been well-cited and is still timely and relevant”.
Dr. Ágnes Horvát, Northwestern University, who chaired the ToT Award Committee, said: “The paper was ahead of its time, alerting the WebSci community to the problem of misinformation when people were mostly celebrating participatory aspects of social media. Misinformation feeds on inequalities and proliferates during times of crisis, aligning the paper with this year’s conference theme.”
The authors commented: “We are very honored to receive this award. We would like to thank the Web Science Trust for recognizing our work on this still very pressing problem in our modern time, when social media has become an integral part of our lives”.
Their acceptance speech is shown below.