/
Navigation
Chronicles
Browse all articles
Explore
Semantic exploration
Research
Entity momentum
Nexus
Correlations & relationships
Story Arc
Topic evolution
Drift Map
Semantic trajectory animation
Posts
Analysis & commentary
Pulse API
API keys, docs, usage dashboard
Browse
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
Concept Search
Semantic similarity search
High Impact Stories
Top coverage by position
Sentiment Analysis
Positive/negative coverage
Anomaly Detection
Unusual coverage patterns
Analysis
Rivalry Report
Compare two entities head-to-head
Semantic Pivots
Narrative discontinuities
Crisis Response
Event recovery patterns
Connected
Search: /
Command: ⌘K
Embeddings: large
Entity

recommendation algorithm

Filtered to controversy pattern ×
39 articles stable
Articles
39
mentions
Velocity
0.0%
growth rate
Acceleration
+0.333
velocity change
Sources
23
publications

Coverage Timeline

2025-12-12
Sources

An interview with Nikita Bier, who wants to lure journalists back to X with a rebuilt recommendation algorithm with no keyword suppression or manual downranking

Product chief Nikita Bier on journalists who left: “We have to earn their trust.”  Also: Fidji Simo on OpenAI's Code Red, and a new episode of ACCESS. X: @ashleymayer . Bluesky: @fahadhumayun.com , @t...

2023-04-02
TechCrunch 24 related

Twitter open sources a portion of its code on GitHub, including its algorithm for recommending tweets in For You but excluding its ad recommendation algorithm

As repeatedly promised by Twitter CEO Elon Musk, Twitter has opened a portion of its source code, including the algorithm it uses …

2023-04-01
TechCrunch 24 related

Twitter open sources a portion of its code on GitHub, including its algorithm for recommending tweets in For You but excluding its ad recommendation algorithm

As repeatedly promised by Twitter CEO Elon Musk, Twitter has opened a portion of its source code, including the algorithm it uses …

2022-04-25
Washington Post

How Telegram became the most prominent platform for the right-wing fringe, including by not having a recommendation algorithm, which helps groups stay hidden

2022-04-24
Washington Post 1 related

How Telegram became the most prominent platform for the right-wing fringe, including by not having a recommendation algorithm, which helps groups stay hidden

Once conservative America decided that mainstream social media platforms were unfairly censoring them — a belief born of pressure …

2021-05-20
Media Matters for America 1 related

TikTok's recommendation algorithm appears to be promoting anti-LGBTQ videos, some of which encourage targeted anti-trans violence

Olivia Little / Media Matters for America :

2021-05-12
Wired

Research: Rumble, a video-sharing site popular with conservatives, is more likely than not to recommend videos with misinfo for “vaccine”, “election” searches

Research shows the emergent video platform can recommend conspiracy theories and other harmful content more often than not. Tweets: @alkapdc , @glichfield , and @alkapdc See also Mediagazer Tweets: Al...

2021-04-18
New York Times

A former alt-right YouTuber details how he tailored videos for the “echo chamber”, including focusing squarely on confrontations to drive views on YouTube

Focus on conflict.  Feed the algorithm.  Make sure whatever you produce reinforces a narrative.  Don't worry if it is true. Tweets: @nytimesbusiness , @markhurst , @jgreenblattadl , @frankpasquale , @...

2021-03-12
The Markup

Citizen Browser project's Split Screen tool shows Facebook's different News Feeds for Trump and Biden voters, based on data from 2,500+ users across the US

a tool that lets you see other people's feeds, based on our national panel of Facebook users. Brought to you by @suryamattu and @sammorrisdesign: https://themarkup.org/... Dan Froomkin / @froomkin : T...

2021-03-11
The Markup 1 related

Citizen Browser project's Split Screen tool shows Facebook's different News Feeds for Trump and Biden voters, based on data from 2,500+ users across the US

Facebook's recommendation algorithm shows different news, groups, and hashtags to different users.  But who sees what?

Loading articles...

Quarterly Coverage

Top Sources

Narrative

Loading narrative...

Relationships

Loading graph...