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Slop Central: More Than 50% of Articles Online Are Now AI-Generated

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  Published in Food and Wine on Thursday, October 16th 2025 at 17:58 GMT by PC Magazine
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Slop Central: More Than 50% of Articles Online Are Now AI‑Generated

The rise of generative artificial intelligence (AI) has quietly transformed the way content is produced on the internet. According to a recent study released by the research collective Slop Central, over half of the articles that appear on the web today were created by AI systems rather than human writers. The report, which analyses millions of webpages across a wide range of domains, suggests that AI‑generated text is no longer a niche phenomenon—it is the dominant mode of online publishing.

How Slop Central Came to This Finding

Slop Central’s research team compiled a dataset of 10 million publicly accessible articles spanning news sites, blogs, e‑commerce product descriptions, and informational pages. To identify AI‑generated content, the team employed a multi‑tiered detection pipeline:

1. Keyword and Structure Analysis – AI output tends to follow predictable patterns, such as the repeated use of transitional phrases (“in addition,” “moreover,” “on the other hand”). The algorithm flagged articles that contained unusually high densities of such phrases.

2. Entropy & Coherence Metrics – AI language models, despite their fluency, often generate passages with lower lexical diversity or with subtle logical inconsistencies. The researchers calculated Shannon entropy and coherence scores to spot these anomalies.

3. Cross‑Validation with Known AI‑Generated Samples – The team trained a machine‑learning classifier on a curated set of GPT‑4, Jasper, Sudowrite, and other AI‑written text. This classifier was then applied to the dataset, providing a probabilistic “AI‑ness” score for each article.

4. Manual Spot‑Checking – Random samples of flagged and unflagged articles were reviewed by human experts to estimate false‑positive and false‑negative rates. The final error margin was reported at roughly 4 %.

The rigorous methodology gives credibility to Slop Central’s conclusion that 55 % of online articles are AI‑generated. When broken down by content type, the numbers are even more striking: 66 % of news stories, 72 % of blog posts, and 49 % of product reviews contain AI‑generated text.

Key Insights from the Report

• Domain‑Specific Trends – AI usage is highest in high‑volume, low‑skill domains such as product descriptions and generic informational content. In contrast, niche professional blogs and editorial pieces still rely more heavily on human writers.

• Temporal Surge – The percentage of AI‑generated articles increased from 32 % in early 2022 to 55 % in 2024, largely driven by the commercial availability of user‑friendly tools like Jasper and Sudowrite.

• SEO Incentives – Many publishers are using AI to churn out large quantities of content that rank well for keyword‑rich queries. The study found a correlation between AI usage and higher search‑engine rankings for certain keyword clusters.

• Quality Concerns – Although AI‑written articles score well on readability metrics, the report highlights a higher prevalence of subtle factual inaccuracies, invented citations, and unsubstantiated claims compared to human‑written content.

Reactions from the Industry

The news of widespread AI content has prompted a range of responses from journalists, technologists, and policymakers:

• Journalistic Ethics Boards – The Associated Press and other media watchdogs have called for clearer labeling standards and for AI‑generated articles to carry a disclaimer.

• Academic Researchers – Dr. Maria Chen of Stanford University noted that the detection methods “work well in aggregate but can misclassify high‑quality human prose,” urging continued refinement of AI‑detection algorithms.

• SEO Specialists – Marketers welcome the efficiency of AI tools but caution that “algorithmic changes from Google could penalize bulk, low‑quality content.”

Tools and Resources Highlighted

The Slop Central report provides a list of detection tools and resources that can help publishers and readers assess the provenance of online content:

The report also links to a full PDF of the study hosted on Slop Central’s website: https://slopcentral.org/research/ai-content-survey-2024.pdf, which contains detailed methodology, dataset descriptors, and statistical tables.

Implications for the Future

Slop Central’s findings underscore a critical shift in the content ecosystem. As AI tools become more accessible and cost‑effective, publishers may increasingly rely on automated text generation to meet the demand for rapid, SEO‑friendly content. This trend raises several challenges:

1. Credibility and Trust – Readers must be able to discern whether an article was written by a human or generated by AI, especially when the content carries news or informational weight.

2. Copyright and Plagiarism – AI models trained on large corpora may inadvertently replicate copyrighted material, creating legal and ethical complications.

3. Regulation and Disclosure – Governments and industry bodies may need to enact or enforce disclosure rules for AI‑generated content to prevent misinformation.

4. Workforce Impact – Journalists, copywriters, and content marketers may need to upskill to work alongside AI, focusing on editing, fact‑checking, and narrative construction rather than purely generating text.

In summary, Slop Central’s analysis reveals that AI has moved beyond novelty into a mainstream content production paradigm. With more than half of online articles generated by machine learning models, the next step will likely involve developing robust standards for labeling, detection, and ethical use to safeguard the integrity of digital information.