Narrativa’s Automated content and Google’s Search Algorithm

We’ve read a lot of news lately about how the?content generated by artificial intelligence might be penalized by the Google algorithm. This year, the California company released a guide warning that its algorithm would benefit ‘useful content’. They even went further and claimed that content generated by artificial intelligence violates the Google Webmaster Guidelines.?

This leads us to ask ourselves several questions. What is ‘useful content’??How can Google know that an article has been generated by artificial intelligence? What consequences does it have for the automated content generated by?Narrativa??

We have the answers to these questions.?

How does Google identify automated content?

The texts generated by?language models, such as?GPT-3?(language model developed by?OpenAI?that learns from existing text and can provide different ways of finishing a sentence), are?statistically predictable. That is, when writing several articles, a model will always use the most statistically probable words given a prompt text.

The researchers?Bender, Gebru, McMillan-Major and Shmitchell?sum this circumstance up like this:?Text generated by a language model is not grounded in communicative intent because the training data never included sharing thoughts with a listener, nor does the machine have the ability to do that.?A language model is?a system for haphazardly stitching together sequences of linguistic forms it has observed in its vast training data, according to probabilistic information about how they combine, but without any reference to meaning:?a stochastic parrot.?Even in the case of tweaking the generation parameters to make the model sounds more ‘natural,’ the final text will remain predictable.?

However,?human-generated text generates unexpected words (or in other words, less predictable words)?because humans are more creative, and?creativity is not one of the strengths of regular language models. Although it is true that the creative capacity of the models is often put to the test, the results are not fully satisfactory. GPT-like models tend to go off track hallucinate and generate text that is not consistent with reality.?

Based on that assumption,?Google can detect AI-generated content in two ways:

Repetitive patterns.

Statistical patterns.

Why does this not affect Narrativa’s content?

Firstly, because?the content generated by our?natural language?technology is not statistically predictable. Our artificial intelligence system extracts human-written content that is then clustered and classified in order to create a connected graph of atomic segments that are then used to generate human-like text when transposing the data present in the structured datasets that Narrativa licenses. Artificial intelligence adds context to the graph using classification algorithms which ensure the right contextualization of the sentence generated by the system. This approach has allowed Narrativa’s automated content to perform very well?at a SEO level?for the last eight years and continues to do so.?

Secondly, the?distribution of words in the automated content that Narrativa generates is less probabilistic and more humane.?Our team of automation editors ensures the quality assurance QA at every step of the development of each solution. Their job is to corroborate the correctness (in terms of human-like) so our texts read like it was written by a human.

Narrativa′s Automated content and Google’s Search Algorithm

In short,?Narrativa’s automated content is useful content for users and therefore, for Google. Our narratives have a meaningful purpose of informing the readers about certain subjects since they are based on a validated and truthful dataset. In addition,?our approach allows taking full advantage of artificial intelligence language models without neglecting the human aspect. The combination of both guarantees the generation of a human-like text and the scalability of AI content generation.?

About Narrativa

Narrativa is an internationally recognized?content services company?that uses its proprietary?artificial intelligence?and?machine learning?platforms to build and deploy?digital content solutions?for enterprises. Its technology suite, consisting of data extraction, data analysis,?natural language processing?(NLP) and?natural language generation?(NLG) tools, all seamlessly work together to power a lineup of smart content creation, automated business intelligence reporting and process optimization products for a variety of industries.

Contact us?to learn more about our solutions!??