| Popis: |
Technology and the Internet of Things (IoT) has changed the way the world communicates and shares information. Emergent technologies, with their elaborate infrastructures for uploading, commenting, liking, and sharing, have created an almost ideal environment for news manipulation and abuse. Fake news stories in the media have real impacts on society and politics. The ease and speed of obtaining content through media networks have made information consumers more susceptible to falling prey to fake news. Critics across the political spectrum claim that fake news and cyber-attacks are playing an increasingly significant role in determining the course of world events. Unfortunately, solutions to this issue remain unclear: existing algorithms are not good enough to filter out blatant lies with 100% accuracy. This paper aims to discuss the mechanisms used to spread fake news and the algorithms used for identifying and measuring it. Multiple cyber security-enabled fake news case studies are analyzed, along with the attack mechanisms that led to those incidents. A new algorithm is proposed for identifying fake news, along with identification strategies to thwart fake news attacks. |
