Corrections Policy
At CambridgeAnalytica.org, we are committed to providing accurate, balanced,
and verifiable information on topics such as data privacy, algorithmic transparency,
digital rights, artificial intelligence, and technology governance.
We value the trust of our readers and uphold strict standards of editorial transparency
and accountability. If you notice an error or inaccuracy in any of our articles,
we encourage you to let us know so that we can review and correct it promptly.
How to Submit a Correction
If you find an error, please follow these steps to help us verify and update
the content efficiently:
Identify the article
Include the title, URL, and publication date of the article you believe contains an error.
Describe the issue
Clearly explain what you believe is incorrect and, where possible, provide a reliable source,
reference, or clarification that supports the proposed correction.
Contact us
Send your correction request to: [email protected]
Please include your name and email address so that our editorial team can follow up
if additional details are needed.
Our commitment to accuracy
We are dedicated to maintaining accuracy and integrity in all our reporting and analysis.
When an error is confirmed, we take the following actions:
- Update the article – The content is revised with verified information.
- Add a correction note – A brief notice is added at the end of the article
explaining what was changed and when. - Notify the contributor (where applicable) – If the correction was submitted
by a reader or subject-matter expert, we may confirm once the update is live.
All corrections are handled transparently so readers are aware of factual updates
and editorial improvements.
Feedback and suggestions
We welcome feedback from readers, researchers, practitioners, and institutions.
If you have suggestions to improve the clarity, accuracy, or usefulness of our content,
please contact us at:
Constructive engagement helps us strengthen trust, clarity, and public value in our work.
Editorial integrity
CambridgeAnalytica.org adheres to the principles of honest reporting, responsible sourcing,
and human editorial oversight. Every article is reviewed by our editorial team before publication,
and any post-publication corrections are made with full transparency in line with widely accepted
digital publishing standards and platform policies.
Thank you
Thank you for helping us maintain the credibility, transparency, and quality of
CambridgeAnalytica.org — a space dedicated to clear, contextual reporting
on data, algorithms, and the digital society.