What was the most surprising outcome of the media literacy study for you?

Just over half of respondents say they regularly check facts. That surprised me. Other studies show much lower figures. It could be that many people assess themselves more positively than they actually act.

It is also interesting to note that over a third are familiar with the term “deepfakes”. For such a technical topic, that’s not bad at all and shows that plenty of people are engaged with the subject. Younger people in particular seem to be well informed in this area, which is not surprising given that they have grown up with these technologies.

Most people agree that regulations on artificial intelligence are necessary. It is particularly salient that responsibility is clearly seen as being with the platforms. Over 80% are even in favour of banning deepfakes – that is a clear message.

What does media literacy mean today – and is just checking sources enough?

False reports have been around ever since media exists. However, with fake news and deepfakes, disinformation is reaching new heights in terms of speed, reach and potential to deceive. Distinguishing between unintentional misinformation and deliberate disinformation is crucial. Today, media literacy means not only checking sources, but also critically evaluating content and identifying digital manipulation techniques. Media literacy is more important than ever, as it is a prerequisite for informed decision-making and democratic participation.

What are some particularly good examples of fake news and deepfakes?

Almost every day, incidents come to light in which the reputation of public figures, in particular, is damaged. For example, before this year’s federal elections there was a surge in disinformation campaigns deliberately orchestrated by authoritarian states to strengthen extreme political views in Germany, and to attack democratic parties. Major news agencies such as Reuters reported on this. Becoming more common: the sharing of AI-generated images of events that never happened. The increasingly realistic rendering of these images makes it more and more difficult to distinguish genuine images from fakes.

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