TokenizeStartup.com is committed to factual accuracy. When we identify errors in published content, whether through our own review process or through reader feedback, we correct them promptly and transparently.
How We Handle Corrections
Minor corrections include typographical errors, broken links, formatting issues, and small wording clarifications that do not change the meaning or factual substance of the content. These are fixed without a correction notice.
Material corrections involve changes to factual claims, data points, regulatory references, pricing figures, platform features, or any information that a reader might rely on for decision-making. When we make a material correction, we add a dated correction notice at the top of the article describing what was changed and why.
Urgent corrections apply to errors involving regulatory status, legal requirements, licensing claims, or pricing that could directly affect a reader’s financial or legal decisions. These are corrected immediately upon verification, with a prominent correction notice and an updated “Last reviewed” date.
Correction Notice Format
Material corrections appear at the top of the affected article in the following format:
Correction (Date): [Description of what was changed and the reason for the correction.]
The original publication date and the most recent review date are always visible on every article.
Reporting an Error
If you identify an error in any TokenizeStartup.com article, including outdated information, incorrect data, broken sources, or inaccurate regulatory references, please contact the editorial team. When reporting an error, include the article URL, the specific claim you believe is incorrect, and if possible, a link to the correct source.
Content Freshness
In addition to corrections, we maintain a scheduled content review process. Articles covering regulatory requirements, tax implications, and legal frameworks are reviewed every 90 to 180 days. Platform reviews and pricing data are verified quarterly. Educational and foundational content is reviewed annually. The “Last reviewed” date on each article reflects the most recent completed review cycle.