---
type: "post"
id: "your-algorithm-your-words-new-ways-to-shape-f8f4e6"
slug: "your-algorithm-your-words-new-ways-to-shape-f8f4e6"
title: "Your Algorithm, Your Words: New Ways to Shape What You See on Facebook"
description: "Meta’s announcement introduces “Your algorithm,” a dedicated space in Facebook’s three-dot post menu where users can add and manage topics they want in Feed and Reels."
retrieval_nugget: "Meta’s announcement introduces “Your algorithm,” a dedicated space in Facebook’s three-dot post menu where users can add and manage topics they want in Feed and Reels."
published_at: "2026-10-14"
updated_at: "2026-10-14"
record_date: "2026-10-14"
date_kind: "published_at"
topics: []
source_urls: ["https://about.fb.com/news/2026/10/introducing-your-algorithm-facebook"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:your-algorithm-your-words-new-ways-to-shape-f8f4e6"
status: "published"
visuals: []
editorial_provenance: {"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:643c08e016038ee65c2c939bdb4c5afa384519e1a1ac9e93732f8c2b0c898c54","reviewed_at":"2026-10-14T04:04:34.571Z","source_evidence_count":1,"verified_claim_count":3,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":3,"implication_count":1,"watch_condition_count":1,"related_record_count":0}
analysis: {"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"Free-form language is becoming a direct control surface for recommendation ranking, not merely a way to search for content.","observed_facts":[{"text":"Meta says “Your algorithm” lets users add and manage topics for Facebook Feed and Reels from a post’s three-dot menu.","source_urls":["https://about.fb.com/news/2026/10/introducing-your-algorithm-facebook"]},{"text":"Meta says users may receive follow-up questions after marking content “Interested” or “Not interested” and can respond in their own words.","source_urls":["https://about.fb.com/news/2026/10/introducing-your-algorithm-facebook"]},{"text":"Meta says recommendations adapt in real time, including within the same session.","source_urls":["https://about.fb.com/news/2026/10/introducing-your-algorithm-facebook"]}],"mechanism":"Language models interpret interests, context, and intent expressed in text, then combine that input with existing engagement signals such as likes, comments, and watch behavior.","why_now":"Meta says its ranking systems already infer interests from engagement signals and presents LLMs as a way to make that inference more responsive to a user’s stated intent.","implications":["Users may gain a more legible way to steer algorithmic feeds than implicit engagement alone."],"evidence_boundary":"This is Meta’s product announcement: it states intended controls and real-time adaptation, but gives no independent test results, rollout details, or evidence of outcomes for users.","watch_conditions":["Whether users can see persistent, measurable changes in recommendations after giving natural-language feedback."],"related_records":[],"new_branch_reason":"No prior New Runtime record is supplied for this distinct product change to Facebook’s recommendation controls."}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/your-algorithm-your-words-new-ways-to-shape-f8f4e6/","markdown":"https://newruntime.com/posts/your-algorithm-your-words-new-ways-to-shape-f8f4e6.md","json":"https://newruntime.com/posts/your-algorithm-your-words-new-ways-to-shape-f8f4e6.json"}
---

# Your Algorithm, Your Words: New Ways to Shape What You See on Facebook

## Retrieval answer

Meta’s announcement introduces “Your algorithm,” a dedicated space in Facebook’s three-dot post menu where users can add and manage topics they want in Feed and Reels.

Meta’s announcement introduces “Your algorithm,” a dedicated space in Facebook’s three-dot post menu where users can add and manage topics they want in Feed and Reels. It also describes follow-up questions after “Interested” and “Not interested” feedback, allowing users to explain in free-form language what they want more or less of. Meta says recommendations will adapt in real time, including within the same session.

The thesis is: Free-form language is becoming a direct control surface for recommendation ranking, not merely a way to search for content. The mechanism is: Language models interpret interests, context, and intent expressed in text, then combine that input with existing engagement signals such as likes, comments, and watch behavior. Why now: Meta says its ranking systems already infer interests from engagement signals and presents LLMs as a way to make that inference more responsive to a user’s stated intent.

The first implication is: Users may gain a more legible way to steer algorithmic feeds than implicit engagement alone. The first watch condition is: Whether users can see persistent, measurable changes in recommendations after giving natural-language feedback. The evidence boundary is: This is Meta’s product announcement: it states intended controls and real-time adaptation, but gives no independent test results, rollout details, or evidence of outcomes for users. Further evaluation should distinguish the availability of a text control from whether it reliably changes feed composition.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)