Safeguarding Content Quality Against AI “Slop”

We are privileged these days to be able to roll our eyes still at fakery created by generative AI. Think of the blurred hands and misaligned clothes in the Princess of Wales’ infamous 2024 Mother’s Day family photo. More recent and brazen examples exist in fake citations included in some lawyers’ depositions and even in the first version of the U.S. government’s 2025 MAHA (Make America Healthy Again) report.

But we likely won’t have that easy eye-roll privilege for long.

The recent iterations of generative AI models, such as ChatGPT 4o, Claude 4, and Google’s Gemini, include even more sophisticated reasoning and huge context windows—thousands of times the size of the original ChatGPT release. Generally, the longer the context window, “the better the model is able to perform,” according to quiq.com.

As I mentioned in my most recent blog post (“Leveling an Editorial Eye on AI”), the omnipresence of AI has the capability—and now the model power—to compound inaccurate information (and misinformation) a thousand-fold, collapsing in on itself. This endangers the whole concept of truth in our modern society, warns my colleague Noz Urbina.

Given this capability, what are reasonable steps an individual, an organization, and the content profession as a whole can take to guard against even the subtlest “AI slop”?

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Leveling an Editorial Eye on AI

A colleague and I once pioneered using levels of edits to help manage the workload through our content department at a large high-tech firm. We rolled out the concept and refined it over time, all in the name of efficiency and time to market. What we were really trying to do was save our sanity.

We failed.

Or rather, the whole endeavor of developing and releasing educational content through a single in-house unit failed. All the work—from course design to release—was eventually outsourced. But I learned something valuable from the experience. (And I hope others did, too.)

You can’t outsource quality.

I think that’s as true in today’s world of generative AI as it was “back in the day” when I was a technical editor. But how does editorial refinement work in today’s hungry market for “easy” content? Let’s look at how it used to work, how people would like it to work, and how it might work better.

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Chunking for More Accessible Online Content 

In our omnichannel world, where attention spans are short and the cognitive load is great (thanks, AI!), effective content design plays a key role in reader engagement. It’s more important than ever to structure online text so that our readers can easily scan, understand, and retain the key points.

Double underline that for readers who rely on accessibility aids such as screen readers.

The element of content design you’ll want to apply is “chunking.” Chunking refers to breaking up information into meaningful, bite-sized sections or “chunks” that are relatively similar in scope and intensity. Visually, this means that your paragraphs are short, and there are fewer of them under each subheading.

Richard Johnson-Sheehan, the technical communication guru, generally refers to this idea as “partitioning.” Rather than presenting a dense wall of text, you divide your content into well-organized subsections with meaningful headings.

I offer some techniques for applying this element of content design here. However, the starting point is to understand how chunking aids the reader.

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6 Strategies for Writing Compelling Headings

I hate to admit that I still have stumbling blocks after decades of writing experience, but, ummm, I do. It’s writing headings. There! I wrote it down—in a public blog post.

If you have the same struggle, I can share some advice and tips with you. No need to go heading-less!

Headings are important because they serve as guideposts to our written content. When effective, they help our readers locate and conceptualize the information they seek from our organizations. (Remember when I wrote about scannability?) Effective headings are especially important in online content, where they continue to feed web search engines, even Google’s.  

Note that Google Search’s March 2024 core update attempts to assess a piece of content’s quality so that our search results contain fewer meaningless clickbait. This puts more pressure on content creators to develop original, helpful online content – including meaningful first- and second-level headings.

Those are strong motivators, right? So why is writing a good heading sooo hard?

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