ShareChat says human in the loop critical for content moderation, engaging with government on 3-hour timeline

Ankush Sachdeva, CEO and Co-founder, ShareChat, Moj and Fast TV

The brand new guidelines shrinking the timeline to take down flagged content is a bit stringent, and we’re engaging with the government on it, Ankush Sachdeva, CEO and Co-founder, ShareChat, Moj and Fast TV, mentioned. “ We’re additionally figuring it out internally. I believe it may be higher [lesser] than the present timeline [36 hours] however not three, and hopefully we’ll converge on one thing,” Sachdeva added.

Chatting with businessline on the sidelines of the AI Influence Summit final week, he famous that relating to content moderation, the platform has a system that entails each AI and people. “AI does most of the heavy lifting [in reviewing content] however you wish to be completely positive earlier than we take down any content. So, AI can in all probability provide you with a danger issue, and social media corporations don’t wish to completely rely on it,” he mentioned.

With the Ministry of Electronics and IT (MeitY) just lately decreasing the timeline for eradicating content upon receiving a government or courtroom order from 36 hours to three hours, most social media corporations have flagged it as being impractical.

“You must ensure there are guardrails put in [for AI use] in order that any undesirable content doesn’t come in. You can’t use AI to place deep fakes about undesirable content on the platform,” Sachdeva mentioned.

With regard to the affect of AI on social networks and content trade, Sachdeva mentioned that content and coding are in all probability the two early frontiers the place AI is altering drastically. With Gen AI instruments, the obstacles to creating content will get even decrease, so a bigger variety of individuals will really change into creators, he famous . “However I believe the content that goes viral are the ones which break the sample; these nonetheless have some distinctive issue working in their favour and principally contain people,” he mentioned.

Elaborating on the social community’s personal AI endeavours, he traces two time durations in ShareChat’s journey, the place they noticed AI-driven recommender techniques give them a elevate in time spent and advert income. First after they deployed a deep studying mannequin in manufacturing in 2022, which gave them about 40 per cent time spent elevate, and the second in June final yr, after they noticed a 50 per cent elevate.

“We now have additionally entered into microdrama as a class and are transforming all our recommender techniques, basically to higher rank microdrama content as nicely,” he mentioned.

Revealed on February 23, 2026