Threads adds new tools to approve and filter replies

[justseyi]

Threads, Meta’s answer to X (formerly Twitter), is rolling out more updates at an impressive pace. Just days after introducing “ghost posts” and community features, the social platform is now giving users more control over how conversations unfold on their posts.

The latest update introduces reply approvals — a feature that lets users review and approve replies from others before they become visible to the public.

Previously, Threads users could limit who could reply — such as people they follow, their followers, or only those mentioned in a post. With this new option, however, users can keep replies open to everyone without risking unwanted or off-topic comments cluttering their threads.

According to Meta, the change is designed to help users “set the tone of the conversation” while maintaining an open environment for engagement. It offers a middle ground between public discourse and personal control — one where the original poster ultimately decides which replies make the cut.

Threads is also adding new filters to the Activity feed, making it easier to focus on relevant interactions. Users can now filter replies from people they follow or from posts that include mentions. These additions expand on existing filters for Verified accounts, Quotes, Reposts, and more — giving users a more customizable view of their engagement.

Meta shared during its third-quarter earnings call this week that Threads has grown to 150 million daily active users, up from just over 100 million in December 2024. The company also noted that as of August, the app had surpassed 400 million monthly active users.

With this growth, Meta is moving quickly to capitalize on Threads’ momentum. Ads have already rolled out globally across the platform, and the company is now preparing to introduce video ads.

At the same time, Threads continues to experiment with new consumer-facing features. Instagram head Adam Mosseri announced that the app is currently testing controls allowing users to fine-tune their algorithmic feed — by adding or removing topics based on their personal interests.

[Author]

Posts