Human-Written. Always.
AI-generated content has flooded the internet. In blogs? News content? Name it!
Chatbots can write on any niche; 3000 words in a couple of seconds.
Are they speedy? Yes! Efficient and cheap? Definitely
But efficient doesn’t mean better. At TorNews, every article, review, and guide you read is written by a human. We make all the efforts humanly possible (with extensive quality checks and all) to make that happen.
No AI shortcuts, no algorithm-generated filler. Just experienced writers who understand cybersecurity and can explain it clearly.
This is not a battle against technology. We use AI tools for research when projects involve multiple data points, but the writing itself?
That’s all human. Here’s why that matters.
The “Why” Behind Our 100% Human Content
AI tools like ChatGPT can create mediocre content, and the ugly truth is “mediocre” is no way near our standard.
The underlying problem is that AI does not have the capacity to create original insights.
It will simply reformulate the available information, often serving a new version of the work already available online.
The end result is always formulaic.
AI systems work on “temperature” settings that attempt to mimic natural human tone, but even at optimal settings, the result often feels stiff and unpolished.
The difference between AI-generated text and human writing becomes obvious once you know what to look for.
More concerning is the citation problem. AI chatbots frequently compile information from multiple sources without providing clear references.
Should they even cite sources, they’d be out of date. In most cases, they just point to low-ranking sources that don’t link to any origins.
Of course, they can’t go beyond the cutoff date of their training model.
So, it becomes tricky to verify the content you consume with facts.
This is dangerous especially in the cybersecurity space. Misleading readers with unreliable sources could cause havoc.
Why Human Writers Make the Difference
At TorNews, we strictly don’t allow AI-generated content into our publication, despite how acceptable it may be.
Why?
Simple: An AI cannot come close to replicating the depth of human creativity. Articles written by human writers exhibit more depth in critical thinking and insight.
While we do leverage large language models as research tools for complex investigations, all our final published work is authored entirely by people.
Let’s dive deeper into why we prioritize human writers!
Real-World Testing and Experience
Our writers don’t just research cybersecurity tools and practices—they test them.
When we publish an article comparing multiple VPNs or a guide to securing your network, those articles are based on the writer’s direct hands-on experiences.
Our staff members have configured firewalls, experimented with encryption protocols, and responded to real-life security incidents.
This practical knowledge changes how information is presented. Instead of generic advice that might work in theory, our articles provide specific solutions for specific situations.
We know which fixes work because we’ve implemented them ourselves.
Verified and Current Sources
Every claim in our articles links back to a verifiable source.
Our writers locate original sources, confirm the date of publication, and verify the information is aligned with the current best practice.
As cybersecurity standards adapt, of course rapidly, our content is updated accordingly.
This is something AI simply can not do consistently.
Language models do not verify. They just pick the next random word that matches the topic according to their training resources.
Only humans can compare information and figure out which ones are true or vague.
Simplify Ambiguous Concepts
Cybersecurity and techy terms walk hand-in-hand. But that doesn’t mean it is hard to understand.
Human writers can break down any overwhelming concepts to the point they become crisp and easy to understand.
How?
We utilize analogies and examples, and build structured explanations systematically.
AI can come up with all the details, but comprehensive doesn’t mean it’s easy to understand
Our contributors are adept at conveying not only what should be said but how to say it in a manner that reaches readers with differing technological understanding.
Style, Voice, and Relatability
There is a humanity to writing that AI has not matched.
It is a distinction that separates “receiving instructions” from “reading a manual.”
Our contributors inject personality, occasional humor, cautionary tales, and a conversational tone to make complex topics feel more relatable.
It is not just about having fun reading, though that is significant; it is about having confidence and trust in the reading material.
You want advice about your digital security from someone who understands the technology and the very human nature of privacy, security, and convenience issues involved.
The Search Engine Factor
Google’s position is apparent: if the majority of your content or article is AI-based just for search engine rankings, you have violated their Webmaster guidelines.
If your text feels like it was generated by rearranging synonyms or was a simple paraphrased sentence, you get the “spam” flag.
Apart from striving for search visibility, quality content makes a huge difference.
Search engines, especially Google, penalize low-quality content even more. So, it becomes increasingly difficult for readers to find your content, even if it may contain legitimate information.
By utilizing human-generated content, we ensure our articles are available to those looking for cybersecurity assistance.
What’s more!
AI Checkers are fishing out robot content with ease. The detection landscape is changing rapidly as well.
Detection tools for AI content will keep improving. Even the big tech companies themselves are pushing towards “watermarking” any content that is AI-written.
This would help readers easily determine which articles are human pieces and which ones are not.
In certain publications where trust and expertise are paramount, this trend is exceptionally important.
The Feedback Loop
Perhaps the most important benefit to human writers is their ability to respond to feedback and learn from it.
Our team looks at comments and trending topics of interest to the reader to know what area to target for the reader in the long run.
As such, our writers are active!
Should a new cybersecurity threat come up, our writers can tackle it, understand the implications, and create timely content that talks about issues the reader wants to know about.
If someone on the site says a guide needs more detail in a part, we thoughtfully and knowledgeably update the guide.
To wrap it up, AI-generated content is stagnant, as it is only as good as the date of training links it has. But human writers can respond and evolve the field they write about.
Just in cybersecurity alone, between new vulnerabilities and threats, it is a very dynamic field, and to not be adaptable is not an option.
Our Assurance
Whether it’s the exploratory research stage or the published articles stage, humans are engaging with, reading, and scrutinizing every step of our content production process.
And! We believe that means you get better content, more accurate, more helpful, and more trustworthy content.
Does that take time? Yes. Is it going to cost more? Yes.
But when comfortless readers are depending on us to keep them safe from unsafe spaces that could jeopardize their data, their privacy, or their security, it would be bizarre not to take this approach.
TorNews will always provide 100% human-written content.
Because when it comes to cybersecurity information, you deserve more than what an algorithm can generate.
You deserve the insight, experience, and reliability that only human expertise can provide.