Scientists, including one of Indian origin, have developed a new technique that can spot nasty personal attacks by cyberbullies on social media and alert parents or network administrators when abuse has occurred.
"The response of the social media networks to fake news has recently started to uptick, even though it took grave consequences to reach that point. The response needs to be just as strong for cyberbullying," said Han.
The app can learn from and adapt to what parents consider bullying, researchers said.
"An app like this that informs us when something problematic is happening is invaluable," Mishra said.
Next, they designed a system that works a bit like hospital triage. When a user uploads a new post, the group's tools make a quick scan of the comments. If those comments look questionable, then that post gets high priority to receive further checks.
However, if the comments all seem charitable, then the system bumps the post to the bottom of its queue.
"Our goal is to focus on the most vulnerable sessions. We still continue to monitor all of the sessions, but we monitor more frequently those sessions that we think are more problematic," Han said.
The researchers tested their approach on real-world data from Vine, a now-defunct video-sharing platform, and Instagram. Han explained that the team picked those networks because they make their data publicly available.
Researchers calculated that their toolset could monitor traffic on Vine and Instagram in real-time, detecting cyberbullying behaviour with 70 per cent accuracy.
The approach could also send up warning flags within two hours after the onset of abuse - a performance unmatched by currently available software.
(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)