Threads Gives Users More Feed Control with 'Dear Algo'
Meta's Threads platform has unveiled a new feature called “Dear Algo” that gives users more direct control over their feed's algorithmic curation. This move toward greater transparency is expected to influence user expectations on other Meta platforms like Instagram and Facebook. The feature allows users to more explicitly guide the types of content they wish to see, potentially impacting how brands approach organic reach strategies.
- Users activate the feature by making a public post that starts with "Dear Algo," followed by a natural language request to see more or less of certain topics. The AI-powered system then adjusts the user's feed for three days. - This move is part of a larger trend toward giving users more direct influence over their algorithmic experiences, as seen with similar manual refinement options being tested or launched by YouTube and Instagram. - The public nature of "Dear Algo" requests is a key element; other users can see and even repost a request to apply the same content preferences to their own feed, creating a communal way to discover new content streams. - For small businesses, this feature underscores a growing shift in social media algorithms away from purely engagement-based metrics (likes, comments) and toward user satisfaction signals, such as how much time users spend on a post. - The temporary, three-day adjustment period is designed to keep feeds timely and reflective of a user's current interests, such as seeing more about a live sports game or less about a TV show to avoid spoilers. - This feature provides more granular control than previous tools like "Not Interested" buttons, allowing users to proactively shape their content consumption rather than just reactively hiding unwanted posts. - Initially tested in New Zealand and Australia, the "Dear Algo" feature is now available in the US and the UK, with plans for further international expansion. - Head of Instagram Adam Mosseri has previously highlighted the challenge of balancing content discovery with user control, positioning "Dear Algo" as a significant step toward greater transparency.
