Digital marketing consultant Neil Patel offers an extremely practical guide to marketing with AI-generated writing — also known as natural language generation — in this piece.

Observes Patel: “Natural language generation’s capabilities have transformed recently — meaning improved accuracy.

“Its potential for the future of digital marketing is enormous.”

The real beauty of marketing with AI-generated writing is its simplicity of use, Patel adds.

All it takes is three, easy steps:

~Get your data ready

~Prepare and use a template

~Let natural language generation choose your narratives and write your content

In other AI-generated writing news:

*Reuters: Biggest Publishers May Reap Greatest Rewards from AI: A 2021 report from Reuters finds the world’s biggest publishers may reap the greatest rewards from AI-generated writing and similar technology.

It’s a trend that has been unearthed in earlier studies.

Those investigations found that the generally significant investment in time, money and personnel to bring AI onboard is often too-big-a-lift for smaller publishers.

All told, 69% of media companies surveyed by Reuters believe that technologically, AI will have the biggest impact on journalism during the next five years — followed by 5G (18%) and new devices and interfaces (9%).

*Wall Street Journal Adds Services from Major Player in AI-Generated Writing: Already a pioneer in AI writing, the Wall Street Journal has tapped Narrativa to further automate its news production.

Specifically, the Wall Street Journal is now using Narrativa’s Gabriele tool to:

~Offer automatically generated info on the state of financial markets in the U.S., Europe and Asia

~Offer updates on the consumer price index (CPI) and the producer price index (PPI)

Observes Sofia Sanchez, a specialist in PR and marketing for Narrativa: “We can generate automatic content for any field: economics, health, science, sport.

“We are capable of creating 3,000 mobile descriptions in seconds — or a clinical paper in two simple steps.”

*AI Writing Assistants: An Updated Look: Analytics India offers a new look at AI-driven writing systems that correct your spelling and grammar – and go on to offer other suggestions to improve text.

Tools profiled include AI Writer, Word, Wordtune, WritingAssistant, Articoolo, ShortlyAI and Textio.

Interestingly, ShortlyAI uses GPT-3 to drive its system.

GPT-3 is an extremely powerful auto-text generator that was released in experimental form last summer.

Observes Sejuti Das, a writer for Analytics India: “Built on OpenAI’s GPT-3 model, this advanced AI tool (ShortlyAI) can make writing easier and faster, helping users eliminate the writer’s block.

“The algorithm not only continues writing the story started by the user, but also generates new creative ideas to develop the story.

“The AI can generate texts in a fraction of seconds.”

For an in-depth look at the anticipated impact of GPT-3 – which impressed many in the AI writing community on its initial release — check-out “GPT-3 and AI Writing: Stunning, if Imperfect,” by Joe Dysart.

*Write Like Shakespeare in 10 Minutes: AI coder Orhan G. Yalcin says he has come up with an experimental AI program that enables you to write like Shakespeare in 10 minutes.

The tool’s engine is a recurrent neural network (RNN).

Yalcin’s RNN ingested voluminous amounts of Shakespeare’s work before being able to generate Shakespeare-like writing on its own.

Observes Yalcin: “If we feed our RNN with a lot of text data, it starts to imitate these texts’ style and generate meaningful text.”

Of course, your college English professor may bicker with Yalcin’s assertion that the RNN perfectly replicates Shakespeare’s timeless — and ever-lauded — writing style.

One note: While this in-depth article is targeted to programmers, it also offers a novel ‘under-the-hood’ look for novices interested in how this AI-generated writing system works.

*Cutting Through the Hype of GPT-3: The Marketing AI Institute offers an informative reality check on GPT-3 in this piece.

Released this past summer, the auto-text generation system sent many AI-enthusiasts over-the-moon with its potential – which some believe has been over-hyped.

Observes Stephen Jeske, a senior content strategist at MarketMuse — a GPT-3 competitor: “There are tons of questions about the impact of sophisticated natural language generation on jobs, content quality, and the future of technology.

“But before you get swept up in the hype, let’s level-set on a few truths about GPT-3.”

*Using AI for Content Marketing: Digital marketing trainer Jon Tromans offers his take on AI and marketing in this 25-minute podcast.

The show features an interview with Ryo Chiba, co-founder, Topic.

Topic is an AI tool designed to identify content marketing opportunities.

Tromans observes Chiba’s tool will:

~Help identify content niches

~Provide outlines

~Generally help ensure content marketing is less hit-and-miss and more targeted

*Australia Researching AI Detection of Deceitful and Persuasive Writing: Unisys has snagged a contract from the Australian government to develop AI tech that smokes-out writing it considers troublesome.

Specific, real-world goals of the research, according to Xin Xu, an AI lead at Unisys Asia Pacific, might include:

~A forensic analysis system that could determine who is the true author of a written piece

~The flagging of emails or text messages that are written by imposters — such as hackers or phishers

~Detection of fraudulent or fake statements on Twitter or other public information platforms that are designed to confuse media or the public

*Call for Papers: AI’s Impact on Journalism: Academic publication Journalism and Media is seeking papers for an upcoming special issue on AI and journalism.

Observes Jason Whittaker, the guest editor for the issue: “This special issue will explore the impact and effects of artificial intelligence –considering such things as the role that algorithms play in areas such as the writing and production of news stories.”

Other AI trends slated for discussion in the special issue include:

~How AI is used as an info gatekeeper in social media

~How machine learning can transform news production

~The role of AI in shaping user experience

~AI: Threat or opportunity for journalists?

Whittaker is a professor of English and Journalism at the University of Lincoln, based in the United Kingdom.

Adds Whittaker: “Accepted papers will be published continuously in the journal — as soon as accepted — and will be listed together on the special issue Web site.”

*Global Community Opinion Mixed on AI and Job Automation: A Pew survey of 20 countries worldwide found 48% of people welcome AI as a job automator – while 42% saw the tech as a threat.

The U.S. was slightly more critical of AI’s impact on jobs.

Specifically, 50% of Americans see AI as a negative on employment and 41% see AI as a positive, according to Pew.

Interestingly, Asian countries were generally upbeat about AI, with 72% in Singapore seeing AI as a good move for society.

Moreover, in South Korea, 69% of those surveyed were upbeat about AI, along with 67% in India, 66% in Taiwan and 65% in Japan.

Across all countries, the French were most critical of AI.

Only 37% of French citizens surveyed thought AI is good for society.

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–Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.