Blogs to Bluesky: Social Media Shifts Responses after 2004 Tsunami

Teuku Hafid Hududillah, 28, an Indonesia's Meteorology, Climatology and Geophysics Agency (BMKG) officer, shows the seismograph system that recorded the 9.1 magnitude quake on the 2004 Indian Ocean earthquake and tsunami, at the monitoring station in Aceh Besar, Aceh, Indonesia, December 23, 2024. (Reuters)
Teuku Hafid Hududillah, 28, an Indonesia's Meteorology, Climatology and Geophysics Agency (BMKG) officer, shows the seismograph system that recorded the 9.1 magnitude quake on the 2004 Indian Ocean earthquake and tsunami, at the monitoring station in Aceh Besar, Aceh, Indonesia, December 23, 2024. (Reuters)
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Blogs to Bluesky: Social Media Shifts Responses after 2004 Tsunami

Teuku Hafid Hududillah, 28, an Indonesia's Meteorology, Climatology and Geophysics Agency (BMKG) officer, shows the seismograph system that recorded the 9.1 magnitude quake on the 2004 Indian Ocean earthquake and tsunami, at the monitoring station in Aceh Besar, Aceh, Indonesia, December 23, 2024. (Reuters)
Teuku Hafid Hududillah, 28, an Indonesia's Meteorology, Climatology and Geophysics Agency (BMKG) officer, shows the seismograph system that recorded the 9.1 magnitude quake on the 2004 Indian Ocean earthquake and tsunami, at the monitoring station in Aceh Besar, Aceh, Indonesia, December 23, 2024. (Reuters)

The world's deadliest tsunami hit nations around the Indian Ocean two decades ago before social media platforms flourished, but they have since transformed how we understand and respond to disasters -- from finding the missing to swift crowdfunding.

When a 9.1-magnitude quake caused a tsunami that smashed into coastal areas on December 26, 2004, killing more than 220,000 people, broadcasters, newspapers and wire agencies were the main media bringing news of the calamity to the world.

Yet in some places, the sheer scale took days to emerge.

Survivor Mark Oberle was holidaying in Thailand's Phuket when the giant waves hit Patong beach, and penned a blog post to fend off questions from family, friends and strangers in the days after the disaster.

"The first hints of the extent were from European visitors who got text messages from friends back home," said Oberle, adding people initially thought the quake was local and small, when its epicenter was actually near western Indonesia, hundreds of miles away.

"I wrote the blog because there were so many friends and family who wanted to know more. Plus, I was getting many queries from strangers. People were desperate for good news tales," said the US-based physician, who helped the injured.

The blog included images of cars ploughed into hotels, water-filled roads and locals fleeing on scooters because rumors produced "a stampede from the beach to higher ground".

Bloggers were named "People of the Year" by ABC News in 2004 because of the intimacy of first-hand accounts like those published in the days following the tsunami.

But today billions can follow major events in real-time on social media, enabling citizen journalism and assistance from afar, despite the real risk of rumor and misinformation.

During Spain's worst floods for decades in October, people voluntarily managed social media accounts to assist relatives trying to locate their missing loved ones.

After Türkiye's devastating earthquake last year, a 20-year-old student was rescued thanks to a post of his location while buried under the rubble.

- 'Fast picture' -

Two decades ago, the online social media landscape was vastly different.

Facebook was launched early in 2004 but was not yet widely used when the tsunami hit.

One of YouTube's founders reportedly said an inspiration for the platform's founding in early 2005 was an inability to find footage of the tsunami in its aftermath.

Some tsunami images were posted on photo site Flickr. But X, Instagram and Bluesky now allow for instant sharing.

Experts are clear that more information saves lives -- hours lapsed between the tremor's epicenter near Indonesia and the giant waves that crashed into Sri Lanka, India and Thailand's coastal areas.

Daniel Aldrich, a professor at Northeastern University, conducted interviews in India's Tamil Nadu where many said they had no idea what a tsunami was and had no warnings in 2004.

"In India alone nearly 6,000 people were taken by surprise and drowned in that event," he said.

Mobile apps and online accounts now quickly publicize information about hospitals, evacuation routes or shelters.

"Social media would have provided an immediate way to help locate other survivors and get information," said Jeffrey Blevins, head of journalism at the University of Cincinnati.

Oberle also noted that "knowing what help was locally available... would have provided a clearer perspective of what to expect in the days to come".

- Citizen science -

Beyond emergency rescue, social media clips can also be a boon to understanding a disaster's cause.

When giant waves crashed into Indonesia's Aceh province, footage remained largely confined to handheld camcorders capturing the carnage.

Fast forward to 2018, when a quake-tsunami hit Indonesia's Palu city, killing more than 4,000 people, enough videos were taken on smartphones that scientists researching seismic activity were later able to use the clips to reconstruct its path and time between waves.

The piece of citizen science in 2020 used amateur videos to conclude it happened so fast because of underwater landslides close to shore.

But it's not all good news.

Scholars warn that disinformation and rumors have also hindered disaster responses.

When Hurricane Helene struck North Carolina in September, relief efforts were disrupted as tensions between locals and emergency workers rose over unfounded rumors including a higher hidden death toll and diverted aid.

Workers faced reported threats from local armed militias.

"This information was so malicious that FEMA (Federal Emergency Management Agency) had to withdraw its teams from the area," said Aldrich.

"Social media has absolutely altered the field of disaster response for the good and the bad."

Yet perhaps the biggest change -- the free flow of information to the vulnerable -- has been beneficial.

Laura Kong of the Honolulu-based International Tsunami Information Center recently recalls how "2004 was such a tragedy".

"Because... we might have known there was an event, but we didn't have a way to tell anyone."



Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.