2 Sources
[1]
Deepfakes Barely Impacted 2024 Elections Because They Aren’t Very Good, Research Finds
AI is abundant, but people are good at recognizing when an image has been created using the technology. It seems that although the internet is increasingly drowning in fake images, we can at least take some stock in humanity's ability to smell BS when it matters. A slew of recent research suggests
[2]
How we were deepfaked by election deepfakes
Around this time last year, you probably read dozens of dire warnings about generative artificial intelligence's impact on 2024's bumper crop of global elections. Deepfakes would supercharge political disinformation, leaving muddled voters unable to tell fact from fiction in a sea of realistic,
Share
Copy Link
Recent studies reveal that AI-generated misinformation and deepfakes had little influence on global elections in 2024, contrary to widespread concerns. The limited impact is attributed to the current limitations of AI technology and users' ability to recognize synthetic content.

Contrary to widespread concerns, recent research suggests that AI-generated misinformation and deepfakes had minimal impact on global elections in 2024. Despite the rise of generative AI technologies, voters demonstrated a surprising ability to discern synthetic content from authentic media
1
.The Alan Turing Institute reported that only 27 pieces of AI-generated content went viral during the European elections last summer. In the United States, the News Literacy Project identified over 1,000 examples of election misinformation, with a mere 6% attributed to AI
2
.A study in Bangladesh found that just 2% of misinformation surrounding their January election involved deepfakes. Similarly, South Africa's election was marked by an unexpected lack of AI-generated content
2
.Several factors contributed to the minimal influence of AI-generated content:
Quality of AI-generated media: Current AI technology still produces images and videos with noticeable flaws, making them easier to identify as synthetic
1
.User skepticism: Social media users exhibited a healthy dose of skepticism towards online content, often misidentifying real images as AI-generated rather than the reverse
1
.Limited exposure: Most AI-generated content was concentrated among users with pre-existing political beliefs aligned with the narratives presented
1
.Related Stories
Interestingly, much of the election-related AI content that gained traction was not intended to deceive voters. Instead, it was often used to create emotional arguments or symbolic messages supporting certain narratives, even when clearly unrealistic
2
.Despite the limited impact, experts warn against complacency:
Reinforcement of beliefs: Even when audiences recognize content as AI-generated, it can still reinforce existing beliefs about candidates
1
.Erosion of trust: The prevalence of AI-generated content may damage overall trust in online sources
1
.Targeted harassment: AI imagery has been used to create pornographic deepfakes targeting female politicians, potentially damaging their reputations and reinforcing sexist beliefs
1
.As AI technology continues to advance, vigilance and ongoing research will be crucial in understanding and mitigating potential impacts on future elections and public discourse.
Summarized by
Navi
1
Science and Research

2
Policy and Regulation

3
Technology