Young social media users help train machine learning program to flag sexual conversations

Machine learning programs are becoming increasingly popular in the tech industry, but they require a lot of data to be trained properly. One area where machine learning can be particularly useful is in detecting inappropriate conversations on social media platforms.

However, training a machine learning program to accurately flag sexual conversations can be a difficult task. That's where a group of young social media users come in.

A team of researchers from the University of California, Berkeley, recruited a group of teenagers to help train a machine learning program to identify sexual conversations on social media. The teenagers were asked to identify conversations that they felt were inappropriate or sexual in nature.

The researchers then used the data collected by the teenagers to train a machine learning program to identify similar conversations. The program was able to accurately flag sexual conversations with a high degree of accuracy.

This approach has several advantages over traditional methods of training machine learning programs. First, it allows for a more diverse range of data to be collected. Second, it allows for a more nuanced understanding of what constitutes inappropriate or sexual conversations.

Overall, this study demonstrates the potential for young social media users to play an important role in training machine learning programs to detect inappropriate conversations on social media platforms.

https://www.lifetechnology.com/blogs/life-technology-technology-news/young-social-media-users-help-train-machine-learning-program-to-flag-sexual-conversations

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