Same messages, synchronization?

“Do you trust what you read or hear in the media?” Some would respond with an enthusiastic “Yes!”, others with a cautious “Well,” and still others with a clear “No.” There is no doubt that the consumption of news and information, whether through the traditional channels of television, newspapers and radio or through the limitless network of the Internet, has a profound influence on our perception of the world. But in the age of artificial intelligence (AI), how sure can we be that what we consume is genuine and unmanipulated?

There is no denying that the news we consume often contains similar messages and perspectives. One could argue that this indicates a certain level of “synchronization,” which may seem worrying at first glance. But there are plausible explanations.

Media convergence

One of the main reasons why news looks similar across different platforms is something called media convergence. This means that journalists and editors often use the same sources.

The following points contribute to media convergence:

  1. Agency reports: These often form the basis for news articles. It is more efficient to adopt a story that has already been researched than to reinvent the wheel.
  2. Press events: From press conferences to parliamentary meetings, media representatives often attend the same events, which lead to similar stories being created.
  3. Social media: Today it has become an important source of information. Trending topics and viral posts often influence which news stories receive coverage.

How artificial intelligence comes into play

But what does this have to do with AI? Artificial intelligence has dramatically changed the way we consume news. AI-powered algorithms determine what appears in our news feeds. These algorithms are programmed to serve us content that matches our previous interactions and preferences – a phenomenon known as a “filter bubble.”

The influence of artificial intelligence

AI has revolutionized the media landscape. From personalized news feeds to content creation, AI has the potential to help both improve and manipulate news.

Filter bubbles and echo chambers

Personalized news feeds allow algorithms to trap us in “ filter bubbles ” or “ echo chambers ” where we primarily receive information that confirms our existing views. This can lead to polarization and radicalization of opinions and prevents us from seeing a diversity of perspectives.

Deepfakes and disinformation

AI is also capable of creating realistic fake content. These are known as “ deepfakes .” These can be used to spread disinformation and undermine trust in the media.

Our responsibility

Just as the media landscape has changed, our approach to it must also change. It is our responsibility to be vigilant and to question information critically.

Critical media literacy

We must learn to check sources, seek different perspectives and question information. Critical media literacy is essential to ensure we do not fall victim to disinformation and manipulation.

Go into resonance

Ultimately, we must learn to listen to our inner perception and make decisions that are consistent with our values ​​and beliefs.

Conclusion: In the fast-moving media landscape, it is inevitable that we are confronted with a flood of information. Although AI has the potential to manipulate our media landscape, we also have the tools and knowledge to protect ourselves from it. It is up to us to stay alert, ask questions and use our inner perception to find the truth. The journey may be difficult, but it is necessary to cope in an increasingly connected and technological world.

Also read: The language of digital communication: From narrative and storytelling to deepfakes and infodemic


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Notes:
1) This content reflects the current state of affairs at the time of publication. The reproduction of individual images, screenshots, embeds or video sequences serves to discuss the topic. 2) Individual contributions were created through the use of machine assistance and were carefully checked by the Mimikama editorial team before publication. ( Reason )