Editorial Policy

HackerDictionary is committed to providing accurate, neutral, and well-sourced information about computing terminology. This policy outlines our editorial standards and processes.

Commitment to Accuracy

Every definition, origin story, and etymology timeline is reviewed for factual accuracy before publication. We prioritize primary sources and cross-reference claims against multiple authoritative references. When sources disagree, we note the discrepancy and present the most well-supported account.

Neutrality

HackerDictionary documents how terms are used, not how they should be used. We present technical debates fairly, acknowledge competing definitions where they exist, and avoid promoting specific tools, vendors, or ideologies. Our goal is to inform, not persuade.

Corrections Process

We take errors seriously. If you find an inaccuracy in any entry, you can report it through our contact page. Our editorial team reviews all reported issues and publishes corrections promptly. Significant corrections are noted in the term's revision history. We do not silently alter published content without acknowledgment.

Sources and Citations

Origin stories and etymology timelines cite their sources wherever possible. We rely on academic papers, official documentation, published interviews, historical mailing list archives, and recognized reference works. Community knowledge (such as well-known oral traditions in programming culture) is labeled as such, distinct from documented sources.

Community Contributions

Community members can submit new terms for consideration. All submissions undergo editorial review for accuracy, relevance, tone, and completeness. Contributors are credited where appropriate. The editorial team reserves final decision on inclusion and wording.

Update Frequency

HackerDictionary is updated on an ongoing basis. New terms are added regularly as the computing vocabulary evolves. Existing entries are revised when new information surfaces, when usage patterns shift, or when community feedback identifies areas for improvement. High-traffic and high-visibility entries are reviewed most frequently.