NEW YORK (TheStreet) -- Twitter (TWTR) - Get Twitter, Inc. Report is said to be working on the launch of a keyword-based tool that would allow users to filter posts they see, enabling them to potentially block out harassing and offensive content.
Twitter has been developing the tool and discussing implementation strategies over the past year, sources said, according to Bloomberg.
The popular social media site has come under fire recently for having ineffective anti-harassment tools and policies. The planned solution would allow users to filter out things like slurs or racial terms, eventually serving as a monitor, Bloomberg notes.
Ongoing abuse and harassment has led to the departure of several celebrities and journalists who said they could no longer handle the attacks. The company recently improved its abuse reporting system and initiated a trust and safety council made up of outside advisers.
Experts have said the site has struggled with defining the line between free speech and user safety, the Wall Street Journal noted.
Twitter's keyword-based tool would be similar to the comment modification tool used by Facebook's (FB) Instagram app for business users, which was launched earlier this year.
Shares of Twitter were down in mid-afternoon trading on Friday.
Separately, TheStreet Ratings objectively rated this stock according to its "risk-adjusted" total return prospect over a 12-month investment horizon. Not based on the news in any given day, the rating may differ from Jim Cramer's view or that of this articles's author. TheStreet Ratings has this to say about the recommendation:
We rate TWITTER INC as a Sell with a ratings score of D. This is driven by several weaknesses, which we believe should have a greater impact than any strengths, and could make it more difficult for investors to achieve positive results compared to most of the stocks we cover. Among the areas we feel are negative, one of the most important has been a generally disappointing historical performance in the stock itself.
You can view the full analysis from the report here: