Twitter has began testing a brand new voice messaging characteristic for direct messages on the platform. The characteristic is being rolled out in a phased method to customers in India, Brazil, and Japan beginning Wednesday, February 17. Voice DMs extends the flexibility to ship voice notes as direct messages or DMs from voice tweets that the corporate had launched final 12 months. And identical to for voice tweets, every voice DM generally is a most of 140 seconds lengthy. The check characteristic is being made out there for each Android and iOS customers.
Sending a voice DM is fairly simple. You can open an current dialog in your DMs on Twitter or begin a brand new one. Tap the voice recording icon as soon as to start out recording your message and faucet it a second time to finish. You can even take heed to your message earlier than sending it throughout. iOS customers even have the choice to press-and-hold the voice recording icon to start out recording a message and swipe up and launch the icon to ship it instantly after they’re achieved speaking.
Sending voice DMs on Twitter is being made out there just for Android and iOS customers for now, however customers can take heed to the messages they obtain even through a Web browser. Twitter says that the brand new characteristic will give customers extra methods to specific themselves and create a extra human expertise for storytellers and listeners alike.
“India is a priority market for Twitter and that is why we’re constantly testing new features and learning from people’s experience on the service here. We’re excited to bring the voice messages in DMs experiment to the country and give people a new way to express themselves and help them connect through the nuances, emotion, and empathy built by hearing someone’s voice,” mentioned Manish Maheshwari, Managing Director, Twitter India.
Twitter had first introduced audio messaging on its platform with Voice Tweets in June final 12 months. It permits customers to ship voice notes as tweets with or with out accompanying textual content.
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