Facebook Dithered in Curbing Divisive User Content in India

Photo: REUTERS
Photo: REUTERS
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Facebook Dithered in Curbing Divisive User Content in India

Photo: REUTERS
Photo: REUTERS

Facebook in India has been selective in curbing hate speech, misinformation and inflammatory posts, particularly anti-Muslim content, according to leaked documents obtained by The Associated Press, even as the internet giant's own employees cast doubt over the its motivations and interests.

Based on research produced as recently as March of this year to company memos that date back to 2019, internal company documents on India highlight Facebook’s constant struggles in quashing abusive content on its platforms in the world’s biggest democracy and the company’s largest growth market. Communal and religious tensions in India have a history of boiling over on social media and stoking violence.

The files show that Facebook has been aware of the problems for years, raising questions over whether it has done enough to address the issues. Many critics and digital experts say it has failed to do so, especially in cases where members of Prime Minister Narendra Modi’s ruling Bharatiya Janata Party are involved.

Across the world, Facebook has become increasingly important in politics, and India is no different, said The Associated Press.

Modi has been credited for leveraging the platform to his party's advantage during elections, and reporting from The Wall Street Journal last year cast doubt over whether Facebook was selectively enforcing its policies on hate speech to avoid blowback from the BJP. Modi and Facebook chairman and CEO Mark Zuckerberg have exuded bonhomie, memorialized by a 2015 image of the two hugging at the Facebook headquarters.

The leaked documents include a trove of internal company reports on hate speech and misinformation in India that in some cases appeared to have been intensified by its own “recommended” feature and algorithms. They also include the company staffers’ concerns over the mishandling of these issues and their discontent over the viral “malcontent” on the platform.

According to the documents, Facebook saw India as one of the most “at risk countries” in the world and identified both Hindi and Bengali languages as priorities for “automation on violating hostile speech.” Yet, Facebook didn’t have enough local language moderators or content-flagging in place to stop misinformation that at times led to real-world violence.

In a statement to the AP, Facebook said it has “invested significantly in technology to find hate speech in various languages, including Hindi and Bengali” which “reduced the amount of hate speech that people see by half” in 2021.

“Hate speech against marginalized groups, including Muslims, is on the rise globally. So we are improving enforcement and are committed to updating our policies as hate speech evolves online,” a company spokesperson said.

This AP story, along with others being published, is based on disclosures made to the Securities and Exchange Commission and provided to Congress in redacted form by former Facebook employee-turned-whistleblower Frances Haugen’s legal counsel. The redacted versions were obtained by a consortium of news organizations, including the AP.

Back in February 2019 and ahead of a general election when concerns of misinformation were running high, a Facebook employee wanted to understand what a new user in India saw on their news feed if all they did was follow pages and groups solely recommended by the platform itself.

The employee created a test user account and kept it live for three weeks, a period during which an extraordinary event shook India — a militant attack in disputed Kashmir had killed over 40 Indian soldiers, bringing the country close to war with rival Pakistan.

In the note, titled “An Indian Test User’s Descent into a Sea of Polarizing, Nationalistic Messages,” the employee whose name is redacted said they were “shocked” by the content flooding the news feed. The person described the content as having “become a near constant barrage of polarizing nationalist content, misinformation, and violence and gore.”

Seemingly benign and innocuous groups recommended by Facebook quickly morphed into something else altogether, where hate speech, unverified rumors and viral content ran rampant.

The recommended groups were inundated with fake news, anti-Pakistan rhetoric and Islamophobic content. Much of the content was extremely graphic.

One included a man holding the bloodied head of another man covered in a Pakistani flag, with an Indian flag partially covering it. Its “Popular Across Facebook” feature showed a slew of unverified content related to the retaliatory Indian strikes into Pakistan after the bombings, including an image of a napalm bomb from a video game clip debunked by one of Facebook’s fact-check partners.

“Following this test user’s News Feed, I’ve seen more images of dead people in the past three weeks than I’ve seen in my entire life total,” the researcher wrote.
The report sparked deep concerns over what such divisive content could lead to in the real world, where local news outlets at the time were reporting on Kashmiris being attacked in the fallout.

“Should we as a company have an extra responsibility for preventing integrity harms that result from recommended content?” the researcher asked in their conclusion.

The memo, circulated with other employees, did not answer that question. But it did expose how the platform’s own algorithms or default settings played a part in producing such objectionable content. The employee noted that there were clear “blind spots,” particularly in “local language content.” They said they hoped these findings would start conversations on how to avoid such “integrity harms,” especially for those who “differ significantly” from the typical U.S. user.

Even though the research was conducted during three weeks that weren’t an average representation, they acknowledged that it did show how such “unmoderated” and problematic content “could totally take over” during “a major crisis event.”

The Facebook spokesperson said the test study “inspired deeper, more rigorous analysis” of its recommendation systems and “contributed to product changes to improve them.”

“Separately, our work on curbing hate speech continues and we have further strengthened our hate classifiers, to include four Indian languages,” the spokesperson said.



India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
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India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)

India is hoping to garner as much as $200 billion in investments for data centers over the next few years as it scales up its ambitions to become a hub for artificial intelligence, the country’s minister for electronics and information technology said Tuesday.

The investments underscore the reliance of tech titans on India as a key technology and talent base in the global race for AI dominance. For New Delhi, they bring in high-value infrastructure and foreign capital at a scale that can accelerate its digital transformation ambitions.

The push comes as governments worldwide race to harness AI's economic potential while grappling with job disruption, regulation and the growing concentration of computing power in a few rich countries and companies.

“Today, India is being seen as a trusted AI partner to the Global South nations seeking open, affordable and development-focused solutions,” Ashwini Vaishnaw told The Associated Press in an email interview, as New Delhi hosts a major AI Impact Summit this week drawing participation from at least 20 global leaders and a who’s who of the tech industry.

In October, Google announced a $15 billion investment plan in India over the next five years to establish its first artificial intelligence hub in the South Asian country. Microsoft followed two months later with its biggest-ever Asia investment announcement of $17.5 billion to advance India’s cloud and artificial intelligence infrastructure over the next four years.

Amazon too has committed $35 billion investment in India by 2030 to expand its business, specifically targeting AI-driven digitization. The cumulative investments are part of $200 billion in investments that are in the pipeline and New Delhi hopes would flow in.

Vaishnaw said India’s pitch is that artificial intelligence must deliver measurable impacts at scale rather than remain an elite technology.

“A trusted AI ecosystem will attract investment and accelerate adoption,” he said, adding that a central pillar of India’s strategy to capitalize on the use of AI is building infrastructure.

The government recently announced a long-term tax holiday for data centers as it hopes to provide policy certainty and attract global capital.

Vaishnaw said the government has already operationalized a shared computing facility with more than 38,000 graphics processing units, or GPUs, allowing startups, researchers and public institutions to access high-end computing without heavy upfront costs.

“AI must not become exclusive. It must remain widely accessible,” he said.

Alongside the infrastructure drive, India is backing the development of sovereign foundational AI models trained on Indian languages and local contexts. Some of these models meet global benchmarks and in certain tasks rival widely used large language models, Vaishnaw said.

India is also seeking a larger role in shaping how AI is built and deployed globally as the country doesn’t see itself strictly as a “rule maker or rule taker,” according to Vaishnaw, but an active participant in setting practical, workable norms while expanding its AI services footprint worldwide.

“India will become a major provider of AI services in the near future,” he said, describing a strategy that is “self-reliant yet globally integrated” across applications, models, chips, infrastructure and energy.

Investor confidence is another focus area for New Delhi as global tech funding becomes more cautious.

Vaishnaw said the technology’s push is backed by execution, pointing to the Indian government's AI Mission program which emphasizes sector specific solutions through public-private partnerships.

The government is also betting on reskilling its workforce as global concerns grow that AI could disrupt white collar and technology jobs. New Delhi is scaling AI education across universities, skilling programs and online platforms to build a large AI-ready talent pool, the minister said.

Widespread 5G connectivity across the country and a young, tech-savvy population are expected to help with the adoption of AI at a faster pace, he added.

Balancing innovation with safeguards remains a challenge though, as AI expands into sensitive sectors such as governance, health care and finance.

Vaishnaw outlined a fourfold strategy that includes implementable global frameworks, trusted AI infrastructure, regulation of harmful misinformation and stronger human and technical capacity to hedge the impact.

“The future of AI should be inclusive, distributed and development-focused,” he said.


Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
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Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)

Elon Musk's SpaceX and its wholly-owned subsidiary xAI are competing in a secret new Pentagon contest to produce voice-controlled, autonomous drone swarming technology, Bloomberg News reported on Monday, citing people familiar with the matter.

SpaceX, xAI and the Pentagon's defense innovation unit did not immediately respond to requests for comment. Reuters could not independently verify the report.

Texas-based SpaceX recently acquired xAI in a deal that combined Musk's major space and defense contractor with the billionaire entrepreneur's artificial intelligence startup. It occurred ahead of SpaceX's planned initial public offering this year.

Musk's companies are reportedly among a select few chosen to participate in the $100 million prize challenge initiated in January, according to the Bloomberg report.

The six-month competition aims to produce advanced swarming technology that can translate voice commands into digital instructions and run multiple drones, the report said.

Musk was among a group of AI and robotics researchers who wrote an open letter in 2015 that advocated a global ban on “offensive autonomous weapons,” arguing against making “new tools for killing people.”

The US also has been seeking safe and cost-effective ways to neutralize drones, particularly around airports and large sporting events - a concern that has become more urgent ahead of the FIFA World Cup and America250 anniversary celebrations this summer.

The US military, along with its allies, is now racing to deploy the so-called “loyal wingman” drones, an AI-powered aircraft designed to integrate with manned aircraft and anti-drone systems to neutralize enemy drones.

In June 2025, US President Donald Trump issued the Executive Order (EO) “Unleashing American Drone Dominance” which accelerated the development and commercialization of drone and AI technologies.


SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
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SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA

Saudi Venture Capital Company (SVC) announced the launch of its proprietary intelligence platform, Aian, developed in-house using Saudi national expertise to enhance its institutional role in developing the Kingdom’s private capital ecosystem and supporting its mandate as a market maker guided by data-driven growth principles.

According to a press release issued by the SVC today, Aian is a custom-built AI-powered market intelligence capability that transforms SVC’s accumulated institutional expertise and detailed private market data into structured, actionable insights on market dynamics, sector evolution, and capital formation. The platform converts institutional memory into compounding intelligence, enabling decisions that integrate both current market signals and long-term historical trends, SPA reported.

Deputy CEO and Chief Investment Officer Nora Alsarhan stated that as Saudi Arabia’s private capital market expands, clarity, transparency, and data integrity become as critical as capital itself. She noted that Aian represents a new layer of national market infrastructure, strengthening institutional confidence, enabling evidence-based decision-making, and supporting sustainable growth.

By transforming data into actionable intelligence, she said, the platform reinforces the Kingdom’s position as a leading regional private capital hub under Vision 2030.

She added that market making extends beyond capital deployment to shaping the conditions under which capital flows efficiently, emphasizing that the next phase of market development will be driven by intelligence and analytical insight alongside investment.

Through Aian, SVC is building the knowledge backbone of Saudi Arabia’s private capital ecosystem, enabling clearer visibility, greater precision in decision-making, and capital formation guided by insight rather than assumption.

Chief Strategy Officer Athary Almubarak said that in private capital markets, access to reliable insight increasingly represents the primary constraint, particularly in emerging and fast-scaling markets where disclosures vary and institutional knowledge is fragmented.

She explained that for development-focused investment institutions, inconsistent data presents a structural challenge that directly impacts capital allocation efficiency and the ability to crowd in private investment at scale.

She noted that SVC was established to address such market frictions and that, as a government-backed investor with an explicit market-making mandate, its role extends beyond financing to building the enabling environment in which private capital can grow sustainably.

By integrating SVC’s proprietary portfolio data with selected external market sources, Aian enables continuous consolidation and validation of market activity, producing a dynamic representation of capital deployment over time rather than relying solely on static reporting.

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights, enabling SVC to identify priority market gaps, recalibrate capital allocation, design targeted ecosystem interventions, and anchor policy dialogue in evidence.

The release added that Aian also features predictive analytics capabilities that anticipate upcoming funding activity, including projected investment rounds and estimated ticket sizes. In addition, it incorporates institutional benchmarking tools that enable structured comparisons across peers, sectors, and interventions, supporting more precise, data-driven ecosystem development.