US EditionAI-Generated Deepfakes Fuel Propaganda in Israel-Iran Conflict
- A video falsely claiming that Iranian missiles targeted Tel Aviv’s Ben Gurion airport actually shows footage from Haifa, a northern city that was struck on June 15.
- This misinformation emerged amid escalating Iran-Israel conflict starting June 13, with Israel targeting Iran's nuclear sites and missile exchanges affecting regional airspace closures.
- Multiple outlets, including PressTV, shared outdated or miscaptioned visuals such as old Russian missile launches and drone images, fueling distorted narratives and AI-generated fakery.
- Experts like Ken Jon Miyachi and Hany Farid highlight a surge in AI-enabled misinformation, noting a digital crisis undermining trust and confusing ordinary audiences, especially in Iran’s sealed media environment.
- This wave of fabrications stresses the need for improved fact-checking and media literacy to counteract false claims that complicate understanding of the ongoing volatile Israel-Iran situation.
Insights by Ground AI
Does this summary seem wrong?
129 Articles
129 Articles
All
Left
15
Center
23
Right
18
Pakistan Rejects Disinformation Surrounding Israel-Iran Escalation
Amid escalating tensions between Israel and Iran, the internet has become a generating ground for misinformation, deepfakes, and manipulated content. This risks manipulating public perception and intensifying regional instability. Among the most viral content of disinformation circulating in recent days are videos and statements that falsely depict former U.S. President Donald Trump and Israeli Prime […] The post Pakistan Rejects Disinformation …
As Iran and Israel fought, people turned to AI for facts. They didn't find many
AI-generated videos of fighting between Iran and Israel went viral, and people asked chatbots if they were real. "What we're seeing is AI mediating the experience of warfare," said one researcher.(Image credit: @hehe_samir)
·Washington, United States
Read Full Article
Coverage Details
Total News Sources129
Leaning Left15Leaning Right18Center23Last UpdatedBias Distribution41% Center
Bias Distribution
- 41% of the sources are Center
41% Center
L 27%
C 41%
R 32%
Factuality
To view factuality data please Upgrade to Premium
