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Shivam Parikh is a student at Department of Computer Science at University at Albany, SUNY. Shivam holds BS (Computer Science - Applied Mathematics) and MS (Computer Science) from the University at Albany. Works on topics like Fake News Detection methods, Fake News Dataset (mining), GeoLocation Security, etc.
Misinformation on social media has become an alarming problem in recent years; the advent of social media platforms as a news source serves as a critical factor. Let alone misinformation; recently, social media platforms have faced a new challenge of tampered impersonated content (i.e., Tweets). Although several approaches have been proposed to det...
Since the advent of social media, we have turned towards consuming news from stand-alone websites to popular social media sites (i.e. Facebook, Twitter, Reddit, etc.); we have noticed a growing number of fake news articles spread across the internet. Existing methods for fake news detection mainly focus on natural language processing and machine le...
Fake News has been around for decades and with the advent of social media and modern day journalism at its peak, detection of media-rich fake news has been a popular topic in the research community. Given the challenges associated with detecting fake news research problem, researchers around the globe are trying to understand the basic characterist...
Today geolocation data is used extensively in multiple applications and devices. GPS trajectory data can reveal political, religious affiliations, personal habits, shopping preferences etc. It threatens large number of users who use location-based services on their devices, because they are afraid of revealing their locations and concerned about be...
The core idea of our research is to design novel methods/algorithms to provide location based services (LBS) without revealing users location. In this way, the safety of users information can be ensured while service providers can still offer services.