Abstract

According to a 2019 poll conducted by Statista, 67% of Americans believe fake news causes a great deal of confusion, while only 26% percent of Americans feel “very confident” in their ability to recognize fake news. SpoofSpotter is a multi-platform application that takes a proactive approach at fighting this confusion by training users to spot misinformation in real time. Users are provided with a wide variety of different news headlines, both from real news sources and fake sources, in which they use their skills to determine which of these are not real. Failure to determine the validity of a headline will direct users to a training module that helps them avoid future mistakes. Fact checking services on the market offer a reactive solution to misinformation, whereas SpoofSpotter’s training is proactive. SpoofSpotter will empower users to be able to accurately identify fake information while on the Internet. 

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Members

Brad Davidson

Brad Davidson

Jeff Benton

Jeff Benton

Ned Farrell

Ned Farrell

Noah Muse

Noah Muse

Advisor: Ryan Moore

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