How to Prevent Commercial Spam with Machine-Generated Text Detection
Data scientist Neha Rao shares how Stream upholds the integrity of chat experiences using machine learning models.
If you’ve ever participated in a public online chat that’s suddenly inundated with identical messages encouraging you to click on a certain link, you’ve experienced the frustration of commercial spam. In addition to being annoying for chat users, commercial spam also deteriorates the quality of a chat, lowers the trust and safety rating of your platform, and can lead to user churn.
In this powerful talk at DeveloperWeek 2022, Neha Rao, data scientist at Stream, shares how she and her team are leveraging machine learning text to stop commercial spam in its tracks, protect in-app chat integrity, and elevate the in-app messaging user experience.
Learn more about in-app messaging with Stream by activating your free, 30-day Chat trial
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