Can Artificial Intelligence detect Fake News ?
The possibility is high and students in the senior-level computer science elective course are working in teams to develop and implement their own AI programs under the instruction of Don McLaughlin, research associate and retired faculty member of the Lane Department of Computer Science and Electrical Engineering.
Stephen Woerner, a computer science senior, is on one of the teams charged with creating a system that detects fake news articles. His team's approach utilizes a machine learning system to analyze text and generate a score that represents each article's likeliness that it is fake news. Woerner added that this score is accompanied by a breakdown that explains the rating and provides transparency.
"Artificial intelligence can have all the same information as people, but it can address the volume of news and decipher validity without getting tired. People tend to get political or emotional, but AI doesn't. It just addresses the problem it's trained to combat."
This collaboration with the computer science course serves as an example of the Media Innovation Center's mission to support initiatives, projects, research and curriculum innovations that intersect its work in technology, media and information networks."Fake news isn't just a media problem," said the Center's Creative Director Dana Coester. "It's also a social and political problem with roots in technology. Solving that problem requires collaborating across disciplines."
The possibility is high and students in the senior-level computer science elective course are working in teams to develop and implement their own AI programs under the instruction of Don McLaughlin, research associate and retired faculty member of the Lane Department of Computer Science and Electrical Engineering.
Stephen Woerner, a computer science senior, is on one of the teams charged with creating a system that detects fake news articles. His team's approach utilizes a machine learning system to analyze text and generate a score that represents each article's likeliness that it is fake news. Woerner added that this score is accompanied by a breakdown that explains the rating and provides transparency.
"Artificial intelligence can have all the same information as people, but it can address the volume of news and decipher validity without getting tired. People tend to get political or emotional, but AI doesn't. It just addresses the problem it's trained to combat."
This collaboration with the computer science course serves as an example of the Media Innovation Center's mission to support initiatives, projects, research and curriculum innovations that intersect its work in technology, media and information networks."Fake news isn't just a media problem," said the Center's Creative Director Dana Coester. "It's also a social and political problem with roots in technology. Solving that problem requires collaborating across disciplines."
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