Cuban government blames Twitter for unrest

Authorities point to the hashtag #SOSCuba, launched in early July to highlight Cuba’s health care crisis and the spike in Covid-19 cases. (File/AFP)
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Updated 16 July 2021
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Cuban government blames Twitter for unrest

  • The Cuban government blames anti-government protests on a Twitter campaign orchestrated by the US
  • The Minister of Foreign Affairs called the campaign a communication and information war against Cuba

HAVANA: Unprecedented anti-government protests broke out in Cuba on July 11, which the single-party state leadership blames on a Twitter campaign orchestrated by the United States.
But experts AFP spoke to say that view is at best an exaggeration.
“I have irrefutable proof that the majority of those that took part in this (Internet) campaign were in the United States and used automated systems to make content go viral, without being penalized by Twitter,” Cuba’s Foreign Affairs Minister Bruno Rodriguez said Tuesday.
Rodriguez had already denied that the island nation experienced a “social explosion” when thousands of people took to the streets chanting “Freedom!” and “Down with the dictatorship!“
The minister called it a “communication and information war against Cuba.”
So who is to blame? Authorities point to the hashtag #SOSCuba, launched in early July to highlight Cuba’s health care crisis, the spike in Covid-19 cases, and to plead for foreign humanitarian aid.
Spanish social media expert Julian Macias Tovar, who was invited to speak on Cuban state television on Tuesday, says there is something strange in the figures around the hashtag.
“Between July 5, when the #SOSCuba hashtag was first used, and the eighth, there were just 5,000 tweets,” Macias Tovar told AFP.
It then exploded exponentially, he said, with 100,000 tweets on July 9, 500,00 on the 10th, 1.5 million the next day and two million on the 12th.

The accounts tweeting with the #SOSCuba hashtag “came from many different places, and I believe there’s an international network of accounts linked ideologically,” said Macias Tovar.
They are the same accounts that attacked Mexico’s leftist president Andres Manuel Lopez and the leftist governments of Argentina and Spain, he said.
This is a case of fake accounts or automated accounts programmed to produce a large number of tweets, Macias Tovar said.
Doug Madory, the director of Internet analysis at the IT firm Kentik, is more skeptical.
“Someone sends a tweet in the United States that puts people on the streets in Cuba? I find it hard to believe,” he said.
“I don’t know if one could sit and try to create a Twitter campaign that holds such sway over the average Cuban that out of the air they convince them to do things they wouldn’t otherwise have done.”
While he acknowledged there were automated tweets, it is “probably true also of the government themselves” given the similarity between tweets from its supporters.
On top of that, the government holds the ultimate weapon: it can cut off Internet access, as it did between midday Sunday and Wednesday morning.
Once access was restored, social media sites remained offline for another 24 hours.

The government has not confirmed it cut off Internet access, although Rodriguez said Cuba had “a right to self-defense.”
But on Tuesday night a presenter on state TV let slip the truth.
“I understand as a journalist ... the step taken to cut social media because that is where the war against Cuba is being waged,” said presenter Arleen Rodriguez Derivet.
According to Cuban political scientist Harold Cardenas, “it would be a simplification to say it’s a US campaign because there are obviously many other reasons behind the protests.”
For example, he said, “I know communists that were detained the other day for taking part in protests.
“That’s not to say that the United States has no responsibility in the unrest” through its sanctions that “intentionally asphyxiate the Cuban people.”
It is true that social media has been “used to create parallel realities,” since there has been an avalanche of fake news and doctored images shared in Cuba over recent days.
“There has been an effort from abroad to create uncertainty in the country,” said Cardenas.
But the government is “attributing an exaggerated importance to Twitter,” and people are genuinely “fed up and economically exhausted.”
Macias Tovar agrees with Cardenas. “Beyond this being a campaign orchestrated” from abroad, he said, “there are people who are mobilizing, people who are demonstrating against the government, people who have petitions — what the Cuban government must do is respect the right to protest.”


WEF report spotlights real-world AI adoption across industries

Updated 19 January 2026
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WEF report spotlights real-world AI adoption across industries

DUBAI: A new report by the World Economic Forum, released Monday, highlights companies across more than 30 countries and 20 industries that are using artificial intelligence to deliver real-world impact.

Developed in partnership with Accenture, “Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations” draws on insights from two cohorts of MINDS (Meaningful, Intelligent, Novel, Deployable Solutions), a WEF initiative focused on AI solutions that have moved beyond pilot phases to deliver measurable performance gains.

As part of its AI Global Alliance, the WEF launched the MINDS program in 2025, announcing its first cohort that year and a second cohort this week. Cohorts are selected through an evaluation process led by the WEF’s Impact Council — an independent group of experts — with applications open to public- and private-sector organizations across industries.

The report found a widening gap between organizations that have successfully scaled AI and those still struggling, while underscoring how this divide can be bridged through real-world case studies.

Based on these case studies and interviews with selected MINDS organizations, the report identified five key insights distinguishing successful AI adopters from others.

It found that leading organizations are moving away from isolated, tactical uses of AI and instead embedding it as a strategic, enterprise-wide capability.

The second insight centers on people, with AI increasingly designed to complement human expertise through closer collaboration, rather than replace it.

The other insights focus on the systems needed to scale AI effectively, including strengthening data foundations and strategic data sources, as well as moving away from fragmented technologies toward unified AI platforms.

Lastly, the report underscores the need for responsible AI, with organizations strengthening governance, safeguards and human oversight as automated decision-making becomes more widespread.

Stephan Mergenthaler, managing director and chief technology officer at the WEF, said: “AI offers extraordinary potential, yet many organizations remain unsure about how to realize it.

“The selected use cases show what is possible when ambition is translated into operational transformation and our new report provides a practical guide to help others follow the path these leaders have set.”

Among the examples cited in the report is a pilot led by the Saudi Ministry of Health in partnership with AmplifAI, which used AI-enabled thermal imaging to support early detection of diabetic foot conditions.

The initiative reduced clinician time by up to 90 percent, cut treatment costs by as much as 80 percent, and delivered a 10 time increase in screening capacity. Following clinical trials, the solution has been approved by regulatory authorities in Saudi Arabia, the UAE and Bahrain.

The report also points to work by Fujitsu, which deployed AI across its supply chain to improve inventory management. The rollout helped cut inventory-related costs by $15 million, reduce excess stock by $20 million and halve operational headcount.

In India, Tech Mahindra scaled multilingual large language models capable of handling 3.8 million monthly queries with 92 percent accuracy, enabling more inclusive access to digital services across markets in the Global South.

“Trusted, advanced AI can transform businesses, but it requires organizing data and processes to achieve the best of technology and — this is key — it also requires human ingenuity to maximize returns on AI investments,” said Manish Sharma, chief strategy and services officer at Accenture.