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Virginia Tech Professor Builds Algorithm to Detect Traces of Cyberbullying


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A student becomes despondent while reading abusive messages on Face book.

Virginia Polytechnic and State University professor Bert Huang is working to develop an automatic system for detecting cyberbullying.

Credit: Billy Clarke

Virginia Polytechnic and State University (Virginia Tech) professor Bert Huang is applying his knowledge of machine learning to develop an automatic system for detecting cyberbullying.

"As a computer scientist, I can help to address the problem by building tools for people to find cyberbullying in the big haystack of all of social media data in the world," Huang says.

He notes the core concept is to feed an algorithm examples or indicators of cyberbullying so it can make related search queries. "The computer program will look at what you gave as input and the rest of the data and try to build a model automatically to do a more refined search for cyberbullying," Hung says.

Hung notes the algorithms will process this content to check the relevance of the results, and says the program concentrates on social structure and patterns instead of specific words to spot more complex traces of harassment.

From Collegiate Times
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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA


 

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