Benjamin Netanyahu
Posts from AI enthusiasts suggest that Netanyahu's subsequent public appearances might be artificially generated. Chatham House/flickr

Online chatter erupted last week when Benjamin Netanyahu's son, Yair Netanyahu, vanished from social media for seven consecutive days. His sudden absence on X coincided with widespread rumours claiming that the Israeli Prime Minister had died on 8 March 2026.

The timing of Yair's silence, strikingly in line with the traditional Jewish seven-day shiva mourning period, set off a frenzy of speculation. Posts from AI enthusiasts suggested that Netanyahu's subsequent public appearances might be artificially generated, fuelling an avalanche of conspiracy theories.

Cultural Traditions Shape Online Theories

While Netanyahu continued to appear publicly and conduct official duties, the seven-day absence of his son, who is usually active online around the clock, sparked imaginations.

Users on X, Reddit, and other social media platforms debated if Yair was observing shiva in private, even though no official mourning had been reported. Some linked the timing to recent military strikes against Iranian targets, suggesting that high-level absences and cancellations were evidence of a serious event behind the scenes.

The shiva theory added a uniquely cultural twist to the speculation. In Jewish custom, shiva refers to a seven-day mourning period during which family members traditionally refrain from normal routines to grieve a deceased relative. Although this practice does not strictly forbid phone or online activity, social media users interpreted Yair's disappearance as evidence that the mourning period was underway.

This fusion of cultural practice and political conjecture highlights how online audiences often weave familiar narratives into complex global events. Observers warned that while intriguing, these interpretations do not constitute evidence of Netanyahu's death.

Instead, they illustrate the public's fascination with connecting tradition to high-stakes political developments. Analysts also noted that this form of narrative amplification can quickly escalate misinformation, making it difficult to separate fact from speculation in real time.

AI Deepfake Claims

Even after Netanyahu resumed public appearances, misinformation persisted in the form of AI deepfake allegations. Viral posts claimed anomalies in video footage, such as extra fingers or disappearing objects, were proof that recent videos were manipulated. Platforms like X, with its AI tool Grok, flagged some videos as potentially edited, while Iranian state media amplified these narratives further.

Experts warned that the combination of wartime uncertainty and limited verified appearances created a fertile environment for misinformation. Associate Professor Gao Wei from Singapore Management University explained, 'In a crisis, people are looking for immediate explanations, and the first dramatic story often travels before the first verified one.' Verifying footage takes time, he added, but a compelling false claim only needs to be shareable to gain traction.

These AI-fuelled rumours were further compounded by politically sensitive moments, including images of Netanyahu ordering strikes on senior Iranian officials. Online commenters scrutinised the photos, alleging they were either AI-generated or recycled from previous events. Such scrutiny highlights how generative AI has blurred the line between authentic content and fabricated media, making public reassurance a challenge.

The Spread of Misinformation

The Netanyahu case illustrates how misinformation can exploit public bias and emotional engagement. Professor Edson Tandoc of Nanyang Technological University said, 'Playing into people's confirmation bias is a recipe for deception. Playing into emotions is another ploy.' Once repeated across multiple channels, these false claims can become entrenched, with individuals rejecting corrections to avoid cognitive dissonance.

Other scholars stressed the importance of timely verification. Professor Lee Mong Li of the National University of Singapore explained, 'The longer the lag between the spread of fake news and the correction, the higher the risk that more people will be exposed to the wrong information.'

Meanwhile, Associate Professor Saifuddin Ahmed warned that generative AI has accelerated the speed and believability of online rumours, particularly during crises. The Netanyahu case demonstrates the difficulty of combating false narratives when public trust is low and stakes are high.

While Benjamin Netanyahu remains alive and active, the episode reveals how quickly misinformation can spiral when cultural interpretations, generative AI, and global tension converge.