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EU Elections

EUobserver's guide to the 2024 European Parliament Elections.

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<strong>EU</strong>ROPEAN ELECTIONS<br />

lysing users’ data such as location, age,<br />

gender, education level, employment status,<br />

family status, and online behaviour,<br />

platforms can target those more likely to<br />

accept and share a particular message.<br />

However, this lucrative business behind<br />

disinformation has prompted a ban under<br />

the DSA on analysing users’ political<br />

opinions, sexual orientation or health for<br />

advertising purposes.<br />

Tactics used by disinformation dark actors<br />

include creating and disseminating<br />

false stories or conspiracy theories,<br />

fabricating fake experts and websites to<br />

increase the credibility of the narrative,<br />

flooding social media with the same message<br />

from different fake accounts created<br />

by automated bots, and most recently,<br />

creating AI-generated deep fakes.<br />

Deep fakes are AI-generated videos, or<br />

voice recordings, that convincingly portray<br />

people (usually famous, or politicians)<br />

saying or doing things they never<br />

did. And even though deep fakes thus<br />

far make up only a fraction of disinformation<br />

campaigns, they are a worrying<br />

trend due to their potential to rapidly<br />

spread online and take both electoral<br />

candidates and fact-checkers by surprise.<br />

And, conversely, generative AI can be<br />

seen as a potential tool in combating disinformation<br />

— by assisting fact-checkers<br />

in rapidly sorting and categorising<br />

claims, finding relevant accurate information,<br />

and conducting comparisons<br />

between claims and verified facts. ◄<br />

In 2024,<br />

we see daily<br />

deepfake<br />

scams and<br />

it’s rising<br />

fast.”<br />

MEP Bart Groothuis<br />

“The platforms now have clear responsibilities,”<br />

said <strong>EU</strong> commissioner for the<br />

internal market Thierry Breton during<br />

a plenary debate in February. “Platforms<br />

can no longer monetise the virality of<br />

disinformation and hate content”.<br />

This was the case during last October’s<br />

parliamentary election campaign in Slovakia<br />

when a deepfake audio circulated<br />

where a presidential candidate and an<br />

investigative journalist were supposedly<br />

talking about rigging the elections. The<br />

fake recording was shared on Facebook<br />

during the 48-hour pre-election moratorium<br />

period, during which media and<br />

politicians were meant to stay silent. Before<br />

the vote, Juorová had warned that<br />

elections in Slovakia were “fertile soil” to<br />

advance Kremlin pro-war narratives.<br />

Dutch MEP Bart Groothuis warned: “In<br />

2024, we see daily deepfake scams and<br />

it’s rising fast”. Groothuis said the <strong>EU</strong><br />

should be better prepared, obliging online<br />

companies to detect deepfakes and<br />

label them as such. While not an obligation,<br />

the comission has urged online<br />

platforms to adopt algorithmic systems<br />

to detect watermarks and other indicators<br />

of AI-generated content and label<br />

them as such.<br />

About<br />

Elena Sánchez Nicolás<br />

Watch out for deep fakes<br />

Interestingly, whether people believe<br />

false information doesn’t rely solely on<br />

how realistic it appears. Instead, factors<br />

such as repetition, narrative appeal, perceived<br />

authority, group identification,<br />

and the viewer’s state of mind can matter<br />

more, according to a report recently published<br />

by the Carnegie think-tank.<br />

Elena is the managing editor of<br />

<strong>EU</strong>observer. She joined the site in<br />

2019 and specialises in institutional<br />

affairs, climate change and tech<br />

policy.<br />

19

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