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Peaceful protest or threat?

Imagine yourself standing in the middle of a demonstration. Voices are loud, posters colourful, the atmosphere peaceful. Just a few clicks – and the same scene suddenly looks angry, threatening, aggressive. Both images look credible.

Which one would you print in a newspaper?

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A picture can your life

Change even if

it never existed.

Anja ShusHu
Menschenmenge mit pinken Regenschirmen, viele schreien oder singen bei einem Straßenmarsch.
Menschenmenge bei einer Demonstration, viele mit pinken Regenschirmen und Schals.
Real or not?

The picture on the left shows the peaceful women's strike in Switzerland — taken by Basil Stücheli mithilfe von KI manipuliert: Gesichter ausgetauscht, Mimik verzerrt, Gesten verändert.

The right image was manipulated by Basil Stücheli using AI: faces replaced, expressions distorted, gestures altered.

This is how a peaceful crowd becomes a seemingly aggressive mob.

The consequences of this image manipulation are alarming:

Visual manipulation influences emotions

A single photo can completely change the tone of a news story.

Framing effect

Those who only see the manipulated image might believe the protest was violent – with real consequences for public opinion, politics, and legal decisions.

AI makes it easier

In the past, image editing took hours – today, just a few clicks are enough.

Crisis of trust

The more fakes circulate, the more we doubt real images and lose trust in media and facts.

#OnlyFacts

Frau in dunkler Jacke sitzt verbeugt vor mehreren Monitoren in einem Raum mit Kabeln und blau-gelbem Licht.

Emotional posts receive on average over 50% more likes than neutral ones.

(Source: Alhabash et al., 2021)

Verschwommene Szene eines dunklen Raums mit verstreuten Monitoren auf dem Boden.

Manipulated photos are often perceived as real – the detection success rate is only around 60%.

(Source: Nightingale et al., 2017)

Person sitzt im Lotussitz umgeben von mehreren alten Computermonitoren und Tastaturen mit Störbildschirm.

AI tools can realistically alter facial expressions, body posture, and even lighting conditions.

(Source: Medin et al., 2021 — MOST-GAN)

Person sitzt mit mehreren Tastaturen und Laptops in einem dunklen Raum, umgeben von Kabeln.

Once shared, fake images are nearly impossible to fully retract.

(Source: EU DisInfoLab, 2023)

#ClickWithCare

What can you do?

Use reverse image search (Google Lens, TinEye, InVID) to verify the source.

Pay attention to details: unnatural shadows, illogical proportions, blurred faces in the background.

Check multiple sources before sharing an image.

Question it: “Too good to be true?”, “Why am I seeing this image right now?”, “What is it trying to tell me?”

Take a pause instead of doomscrolling.

Learn more about it