Research editor
Claim-gathering and sourcing
Collects the beliefs readers actually repeat and traces them back to documentation, support material or prior technical writing.
Digitalproductions checks widely repeated claims about apps, utilities and settings against how they actually behave, so readers can make sense of their own devices without guesswork.
About this publicationEditorial standardsUpdated September 2026
Most technology writing assumes readers already know what a piece of software does. In practice, a huge amount of everyday advice about computers is inherited rather than checked: a setting someone changed once and never questioned, a warning that made sense a decade ago and stuck around, a habit passed from one person to another until it feels like fact. We noticed that many of the questions people search for are really requests to settle an argument they have already heard both sides of.
That observation shaped the whole site. Rather than producing another list of recommendations, we built Digitalproductions around the gap between belief and behaviour. Each article starts from a claim readers commonly repeat, whether about antivirus software, cleaning tools, password managers or productivity apps, and works through what is demonstrably true, what is partly true, and what no longer applies to current software.
Coverage begins with collecting the claims themselves, drawn from forums, reader questions, support threads and long-standing habits that keep resurfacing. We then look at how the relevant category of software actually functions in general terms, using publicly available documentation, independent technical writing and direct observation of how these tools behave, without singling out specific commercial products for endorsement or criticism.
Drafts are checked for balance before publication: does the piece overstate a risk, understate a limitation, or lean on language that sounds more dramatic than the facts support. Anything that reads like a recommendation to buy, install or trust a particular product is removed. Where evidence is mixed or genuinely unsettled, the article says so rather than forcing a tidy verdict.
Digitalproductions is produced by a small editorial process rather than presented as the work of individual personalities. Content passes through distinct stages: research and claim-gathering, technical drafting, and a review pass focused specifically on accuracy and tone. We describe the site this way deliberately, because the myths-versus-facts approach only holds up if the process behind it is consistent, repeatable and not dependent on any single voice or opinion.
This also means the site does not maintain personal profiles, author photographs or biographical pages for contributors. The focus stays on the material itself: whether a claim about software holds up, partly holds up, or does not, and why.
Independence, for this project, means the site is not built to sell, promote or steer readers toward any product, service or company. There are no rankings designed to favour a paid placement, no affiliate-driven recommendations dressed up as advice, and no urgency created to push a decision. Articles avoid brand-focused comparisons in favour of explaining how a category of tool generally works, so the conclusions stay useful regardless of which specific application a reader happens to use.
We also try to be independent of prevailing opinion when the evidence disagrees with it. Some popular beliefs about software turn out to be broadly accurate; others are outdated, exaggerated, or based on a misunderstanding of what a tool was ever designed to do. The site treats both outcomes the same way, as findings rather than positions.
A short set of working principles keeps the coverage consistent from one topic to the next.
Every article follows roughly the same shape: state the belief plainly, explain where it likely came from, and then set it against how the relevant software category actually behaves. This structure is repeated deliberately across the site so readers can compare articles and see the same standard applied each time, rather than a different tone or level of scrutiny depending on the topic.
We favour plain explanations over technical jargon, and we flag uncertainty when it exists rather than smoothing it over. A myth is rarely simply true or false; it usually contains a fragment of an old truth that no longer applies, or a genuine risk that has been generalised far beyond its original context. Our job is to separate those layers clearly enough that a non-specialist reader can follow the reasoning.

No bylines, no biographies, just the stages a piece passes through before it is published.
Claim-gathering and sourcing
Collects the beliefs readers actually repeat and traces them back to documentation, support material or prior technical writing.
Explaining how software behaves
Turns the research into plain-language explanations of what a category of tool does, without leaning on jargon or hype.
Balance and tone check
Reads each draft specifically for overstatement, understatement or language that implies a recommendation.
Clarity and consistency
Makes sure the same structure and standard of evidence is applied whether the topic is antivirus software or productivity apps.
Software advice tends to outlive the software it was written about, which is exactly how outdated habits become permanent folklore.
Editorial position, Digitalproductions
A claim that was once accurate is not the same as a claim that is currently accurate, and the difference is usually a few software versions.
Editorial position, Digitalproductions
Independence is easiest to test by looking for what a site refuses to recommend, not by reading what it says about itself.
Editorial position, Digitalproductions
Start with a topic you have an opinion about already and see whether the evidence agrees with you.