Cognitive

Twitter turns to Watson to stop abuse before it starts

Share this post:

Twitter isn’t taking bullying on its platform sitting down.Watson Twitter stop abuse

In remarks at IBM InterConnect this week, Twitter Vice President of Data Strategy Chris Moody said stopping abuse is the company’s number one priority, though he admitted it is “a very, very hard challenge.”

Along with updates to its policies, another way Twitter is facing down that challenge is by bringing Watson in to analyze the wording of tweets.

“Watson is really good at understanding nuances in language and intention,” Moody said. “What we want to do is be able to identify abuse patterns early and stop this behavior before it starts.”

Moody added that the early testing of using Watson’s Tone Analyzer technology, which is available through IBM Bluemix, to identify abusive language is very promising. He said he’d like to return to next year’s InterConnect to share results.

For more of Moody’s remarks, check out the full story on GeekWire or watch the video on IBMGO.

More Cognitive stories

Bringing AI and esports together with Watson on cloud

Whether players are physically on the field or controlling virtual avatars in digital settings, IBM Watson is helping sports fans catch the most breathtaking moments. At the 2019 Game Developers Conference this week, IBM showcased how it’s using artificial intelligence (AI) on the IBM Cloud to make esports fan experiences better and improve player performance. […]

Continue reading

Providing around-the-clock call center support using a cognitive virtual assistant

According to Investopedia, financial technology has grown explosively since the mobile internet and smartphone revolution. Originally referring to computer technology applied to the back office of banks or trading firms, “fintech” now describes a variety of financial activities, from depositing a check with a smartphone to managing investments, generally without the assistance of a person. […]

Continue reading

How to remove the top 3 barriers to AI adoption in business automation

Many businesses are looking to automation to increase productivity, save costs and improve customer and employee experiences. For example, imagine a large insurance company that processes millions of claims a year. Around 60 percent of its claims are automatically processed, but it’d like to automate 85 percent of claims and reduce error rates, reduce costs […]

Continue reading