Open Measures
Open Measures helps open source researchers investigate harmful online activity such as extremism and disinformation.
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Open Measures helps open source researchers investigate harmful online activity such as extremism and disinformation.
Last updated
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Open Measures helps open source researchers investigate harmful online activity such as extremism and disinformation. It allows researchers to run bulk queries against online forums and social media such as Telegram and 4chan.
Public (free) features:
Search queries: the Public App allows users to search archives for specific search terms with basic, Boolean, or advanced queries.
Analysis tools: Timeline, Activity, Link Counter, and Search
Datasets: the following datasets are available, 4chan, 8kun, BitChute, Bluesky, Fediverse, Gab, Gettr, LBRY / Odysee, MeWe, Minds, OK, Parler, Poal, Rumble, RuTube, Scored, Telegram, TikTok, Truth Social, VK, and Wimkin. (See for the current list and operational status of each dataset.)
Language support: English and Spanish.
Limited API access: 39 requests per day, and data that is at least six months old.
API Elasticsearch Support: Sophisticated filtering query support included (Additional information on Elastic full text queries .)
Pro Features:
Everything in Public, plus unlimited access to all Analysis tools such as Discover, Timeline, Link Counter, and Activity.
API access: Unlimited.
Support: Full customer support.
Enterprise Features:
Everything in Pro.
Detailed Analysis: A dedicated research dashboard.
Visualisation: Network graphing capabilities.
Multi-media imagery analysis: Images and video media application. Multi media.
Custom social media crawl requests: Access to custom crawl requests of keywords, profiles, and channels.
Example of a timeline search result for the term QAnon:
API: No registration required for the pubic (free) API.
Public App and API: Search results are date-limited to 6 month old data, and rate-limited to 39 requests per day.
Registration: The Pro version requires registration.
When using Open Measures for research purposes, it's imperative to consider the following ethical aspects:
Privacy and Consent: Although Open Measures archives public posts, researchers should be mindful of the privacy expectations of individuals who made those posts. Not all users understand or anticipate their contributions being analysed or quoted in research.
Bias and Representativeness: Acknowledge that the data collected from Open Measures may not be representative of broader populations or viewpoints. Research findings should be contextualised within the scope and limitations of the data source.
Considering these ethical guidelines will help maintain the integrity of your research and protect the rights and dignity of individuals whose posts might be included in your study.
To effectively use Open Measures, especially for beginners or those looking to refine their skills, the following resources are highly recommended:
Official Wiki
Tutorials and Articles
Use Cases
Video Tutorials
Community and Support
Support only for Pro and Enterprise options.
Bellingcat Volunteer Team
Open Measures provides a for quickly accessing bulk data and a for accessing the API.
See
Open Measures says the Pro and Enterprise solutions are paid for all users, but they encourage all academics, journalists, and individual researchers to get in touch at to ensure budget doesn’t stand in the way of access.
The Oxygen of Amplification: Think carefully about what you publish so as not to unwittingly amplify some of the messaging present on fringe platforms. (See by Whitney Phillips).
by Mozilla
by Countering Disinformation
by Andy Greenberg for Wired
by Samara Lynn for ABC News
by Miles Parks for NPR
by Alanna Irving for Open Collective
by Open Measures
by Elena Rubashevska for Open Collective
by on YouTube
Full API doc: