7 reasons to use AI in publications

Top 7 reasons: AI + media publications

  1. Produce content in a variety of formats
  2. Be the first to report on hot topics
  3. Cover a greater range of stories
  4. Give your readers information in real time
  5. Say goodbye to typos and grammatical slip-ups
  6. Stagger your content effortlessly
  7. Stay ahead of the curve and be ready for audio content

Which tasks, usually completed by journalists, can be automated?

Before we say anything else, let’s just cut short an idea that tends to haunt journalists. Artificial intelligence is not going to replace you. It cannnot replace anyone and least of all in the media! So let’s set this myth aside, while we ask another question:

How can AI help to cover more news and make better use of available data?

LabSense looked at this issue and we made it our daily business to generate content from data. The concept in a few words: transforming data into text using AI.

What is the basic finding in the media?

Data and topics with little journalistic value

  1. Firstly, the media is faced with an increasing amount of data to talk about and, more importantly, to analyze
  2. Secondly, many articles with low journalistic value attract substantial traffic and are therefore essential. The data has to be turned into text.

Specific expectations and formats to reach the readership

When we read weather reports, horoscopes, sports results, etc., we expect a certain format and manner of presenting and delivering the information. In a perfect world, a journalist would have time to write everything, in skillful and flawless English, personalized for every local area. But, in reality, there are too many areas to cover and potential readers are missed.

What type of content can the media automate?

  • weather forecasts
  • air quality
  • sports results (all sports, premier league, amateur sports)
  • election results
  • travel updates in realtime
  • horoscopes
  • biographies

Can we cross-reference different data to generate texts?

Cross-referencing data to multiply search results

For sure, cross-referencing different types of data is a good way to vary your content. It is even a recommended practice to enrich your content and have it pop up in new searches on the web. The more information is crossed, the more diversified the semantic fields and the more chances they will match the keywords in a search.

How to transcribe quickly thanks to data and free up time for writers?

Generated texts can be transcribed into a target language in record time, without any language mistakes… As an order of magnitude, more than 10,000 pieces of content can be generated per minute! So you can say goodbye to spending hours digesting excel spreadsheets, rubbing your eyes, numbers left, right and center. As you can see, automated content generation is a perfect complementary tool for journalists, helping them stay on top of news as it unfolds! From now on, they can concentrate their efforts on investigations, which undoubtedly drew them to the profession in the first place.

How to generate more relevant local topics?

When news is hot, it requires a real responsiveness. From now on, thanks to AI, you don’t need to stay on the sidelines of hot topics, such as transport strikes. If there is data, there is possible coverage! Your publications will now be able to cover subjects that were previously neglected, with great spontaneity.

How do contribute to higher quality journalism?

LabSense digests data and produces reports very quickly. In other words, this is an exceptional opportunity. Within seconds, journalists have reports to which they can then add an analytical layer. So AI is a fantastic time-saver, not only for pure data editorialization, but also as a foundation for higher quality journalistic articles.

How to write without language error and skip the proofreading?

They are there, lurking in the shadows, waiting for the inevitable moment when your concentration slips, to slide in and pollute your content: language errors! Spelling, grammar, conjugation, idioms… Thanks to AI, texts are directly generated in a flawless target language, and formatted, as required by the platform, according to SEO standards (linking, markup, images, meta-descriptions, keywords, duplicate content…)

The international conquest of media outlets

Automated content generation also offers the opportunity to delay publishing your content until the opportune moment. Let’s take the example of sports results, the Olympics! Who would push the button to publish the article if everyone is asleep? Election results abroad? Again, who gets up in the middle of the night to publish the information? With content generation, this is ancient history!

How to move towards article vocalization in 2020?

The biggest SEO pundits have repeated this endlessly, even Google agrees: 2020 will be the year of the voice! It’s no use being fifth in a search, when there’s only one answer from a voice assistant! LabSense generates text2speech with precision, a prerequisite for any audio content, thanks to data.

Our services

Text Generation
The solution is able to automatically produce premium natural language content at a scale and speed never seen before.
Text Mining
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Summary of customer reviews
The extension assists you in the written summary of opinions and allows you to offer unique texts, separated by type of customer, useful to readers, contributing to the improvement of your conversion rates.

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