Twitter has announced Tamil Topics to make it easier for them to find the most relevant and interesting conversations in Tamil across literature, music, poetry, and much more. Tamil is the third most used language on the service in India and Tamil Topics will let people choose and personalise the content that they want to see on their Home Timeline whether it’s more Tweets on artists like Vijay, Rajinikanth, A R Rahman or sports teams like CSK. It will also help keep people abreast with what’s happening by recommending the content related to or similar to the interest, celebrity or even team they follow, including entertainment and sports news.
As part of Twitter’s commitment to build for India and serve the country’s diverse and multilingual audiences, it is launching Tamil Topics for 100% of Android, iOS and web users who have Tamil set as their primary language. The launch follows Hindi Topics, which was introduced in 2020, and India-only experiences such as the Cricket Tab experiment and the Cricket Twitter – India Community.
Cheryl-Ann Couto, Head of Partners at Twitter India, shares, “Over the years, Twitter has broadened the scope and scale of real-time conversation and connection by providing greater possibilities for intimate and authentic interactions through features such as Spaces. In fact, Tamil audiences were early adopters of Spaces and to celebrate their enthusiasm we introduced a dedicated #TamilSpaces emoji. With Topics and #OnlyOnTwitter activations in Tamil, such as the recent #FanTweets video with music maestro Ilaiyaraaja and a ‘Voice Tweet from Rajnikanth’ on the occasion of #15YearsOfSivaji, we are bringing relevant and exclusive content to people respectively and trying to help them connect directly with the things that they care about as well as with one another. We are excited to support and elevate the incredible community that surrounds all things Tamil Twitter and see it grow further.”
Twitter first introduced Topics in 2019 and at the moment, there are more than 15,000 Topics available across 13 languages and approximately 280 million accounts follow at least one of these Topics.
Twitter Topics follow machine learning to find Tweets related to a specific subject. When you follow a Topic, you’ll see Tweets from a whole host of accounts that are experts, fans or just tend to talk about that thing a lot on Twitter.
