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What are content writing bots and how do they work?

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We have all heard of “bots.” Especially for its revolutionary presence on social media . However, these softwares are not limited here. Its functions are infinite and there are thousands of types. In fact, there are currently bots that are capable of creating automated content. We are talking about articles of medium quality that possibly most users would not distinguish from a text written by a journalist. In this article we explain what content writing bots are and how they work. Keep reading!

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What are content writing bots?

A large part of the content consumed on the Internet, and growing, has been generated automatically and artificially. Content writing bots are real automated creation machines . They generate news using structured data.

They are able to mimic human writing, create stories, and even respond consistently to customer service.

This has meant that more and more companies are developing this type of technological product. Mainly intended to write reports from statistical data to generate financial reports . But they are not only used for reporting or creating articles, they can also program, for example, weather forecasts.

Content writing bots are becoming a valuable tool that supports journalists in shaping information. Especially the one that arrives disorderly and in abundance, since the machine is in charge of selecting and discarding what is not useful .

The use of robots in journalism began in 2014, when their existence began to spread. Two years later, Facebook announced at a conference the launch of bots for this social network . In this project, it already had as partners for its start-up media such as CNN. This has allowed journalism to use new forms of communication with its public. For example, being able to connect by instant messaging through mobile.

How do content writing bots work?

Although there are all types of them, content writing bots generally have some common basic principles.

Your first task is semantics . The bot chooses a semantic field such as “clothes”. The semantic field of “clothes” contains, in turn, subfields. These could be “sweater”, “pants”, “shirt”, “skirt”, and so on. All of them, in turn, and despite being part of the “clothing” semantic field, also have their own semantic subfields.

Once the semantic field has been chosen, the second step is to provide a database so that it can be processed . These databases are on the Internet. They have the objective of providing the basic data for each subfield of the field. These will be included in the content that the bot will create.

The third step and after having compiled the information of the field and the subfields, the bot will use prefabricated phrase templates to fill in with the information obtained . In addition, it is capable of creating up to categories and adding links to related articles.

We can imagine the result, content of a more than correct quality and readability.

The weakness of content generating bots is translations . If these occur in the process of building the article, they will surely be translated literally, which is likely to distort the meaning of the text.

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Advantages and dangers of using bots

The use of content writing bots in the media generates constant debate about its various dangers and advantages.

These robots not only use language, they are also capable of adding emojis or multimedia content to the text. In addition, geolocation facilitates the dissemination of information immediately.

But the implementation of robots in journalism has generated a lot of negative comments. In fact, it has been suggested that the introduction of automatisms in the generation of articles could spell the end of journalism .

The misuse of bots is the main culprit for the mistrust of users. Its best known functions are those that are performed for a fraudulent purpose . For example, the generation of false profiles, the dissemination of fake news or even the production of false interactions to attract more users to a certain website or profile.

It is important to note that its use in journalism goes much further. They can be used in a positive way as complements in the development of informational work. For example, as support for the journalist by carrying out tedious actions, helping to have a better knowledge of the consumer to offer personalized content , track and detect false news or stop its dissemination, detect new trends or changes in behavior patterns, etc.

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