Statistical Modeling for Detecting Cognitive Hacking on Microblog WebsitesSpeaker: Vishnu S Pendyala – San Jose, CA, United States
Topic(s): Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science
Cognitive hacking and fraud on Social Media have been so rampantly impactful that sometime back, the Founder, Chairman, and CEO of Facebook, Mark Zuckerberg testified to the US congress that Facebook did not do enough to prevent foreign interference in US elections. In another part of the world, which is still developing, Andres Sepulveda changed the course of Presidential elections by manipulating the information on Social Media. He realized the role microblogging plays in important social processes like the presidential elections in Latin American countries. He said, "When I realized that people believe what the Internet says more than reality, I discovered that I had the power to make people believe almost anything." This talk will discuss some solutions to problems such as the fraud in Presidential elections in Latin America. The solutions presented will be drawn from Statistical Modeling, such as Kalman Filter, which is considered as the greatest discovery of the 20th century.
Truth is the norm and the basis of civilization. A lie, in that sense can be viewed as a change from that norm. Using Change Detection, the talk will go over how Statistical Techniques and Kalman Filter can be used to detect fraud on Microblog Websites, such as that happened in the Presidential elections in South American countries. The material will be covered without assuming a lot of math / technical background, so should be easy to understand to anyone who is interested in these topics. The talk will draw from the speaker's book, "Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness" available at https://www.springer.com/us/book/9781484236321 and major libraries, including those of MIT, Harvard, Stanford, CMU, and internationally.
About this LectureNumber of Slides: 30
Duration: 45 - 60 minutes
Languages Available: English, Hindi
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