In Pursuit of Truth on the Web: Soft Computing for Truth Finding
Applied Data Science
International Conference on Soft Computing and its Engineering Applications
We are increasingly depending on data for crucial tasks like driving as in selfdriving cars, delivery as in autonomous drones and even in electing Presidents of countries, owing to the role of Online Social Networks like Twitter in these elections. Trusting technology has become inevitable. Compromising the quality of data in these circumstances can be hazardously risky. Data has to be entirely truthful and accurate. However, there have been a number of instances where data was manipulated or posted fraudulently for ulterior motives, causing serious damage. Misinformation Containment is indeed a difficult task and computationally, has been proven to be NP-hard. The talk will cover some of the soft computing techniques to address the problem of Truth Finding, particularly on the Web data.
The Web is an important enabler of the evolving world economy and has the potential to bring more and more people into the mainstream. The Web, being humanity’s largest source of information and interaction, can serve as a conduit of humanitarian services and presents a huge opportunity to enhance the quality of life further. Unfortunately, a significant percent of the information posted on the Web is not entirely true, which substantially limits its ability to serve the needs of the humanity. In this talk, we will go deeper into the ideas from Machine Learning and other mathematical abstractions to see how we can help make the World Wide Web entirely truthful, which should ideally be an important milestone to achieve in the near future.
Vishnu S. Pendyala. "In Pursuit of Truth on the Web: Soft Computing for Truth Finding" International Conference on Soft Computing and its Engineering Applications (2017).