Technology
Meta, X approved ads containing violent anti-Muslim, antisemitic hate speech ahead of German election, study finds
Social media giants Meta and X approved ads targeting users in Germany with violent anti-Muslim and anti-Jew hate speech in the run-up to the country’s federal elections, according to new research from Eko, a corporate responsibility nonprofit campaign group.
The group’s researchers tested whether the two platforms’ ad review systems would approve or reject submissions for ads containing hateful and violent messaging targeting minorities ahead of an election where immigration has taken center stage in mainstream political discourse — including ads containing anti-Muslim slurs; calls for immigrants to be imprisoned in concentration camps or to be gassed; and AI-generated imagery of mosques and synagogues being burnt.
Most of the test ads were approved within hours of being submitted for review in mid-February. Germany’s federal elections are set to take place on Sunday, February 23.
Hate speech ads scheduled
Eko said X approved all 10 of the hate speech ads its researchers submitted just days before the federal election is due to take place, while Meta approved half (five ads) for running on Facebook (and potentially also Instagram) — though it rejected the other five.
The reason Meta provided for the five rejections indicated the platform believed there could be risks of political or social sensitivity which might influence voting.
However, the five ads that Meta approved included violent hate speech likening Muslim refugees to a “virus,” “vermin,” or “rodents,” branding Muslim immigrants as “rapists,” and calling for them to be sterilized, burnt, or gassed. Meta also approved an ad calling for synagogues to be torched to “stop the globalist Jewish rat agenda.”
As a sidenote, Eko says none of the AI-generated imagery it used to illustrate the hate speech ads was labeled as artificially generated — yet half of the 10 ads were still approved by Meta, regardless of the company having a policy that requires disclosure of the use of AI imagery for ads about social issues, elections or politics.
X, meanwhile, approved all five of these hateful ads — and a further five that contained similarly violent hate speech targeting Muslims and Jews.
These additional approved ads included messaging attacking “rodent” immigrants that the ad copy claimed are “flooding” the country “to steal our democracy,” and an antisemitic slur which suggested that Jews are lying about climate change in order to destroy European industry and accrue economic power.
The latter ad was combined with AI-generated imagery depicting a group of shadowy men sitting around a table surrounded by stacks of gold bars, with a Star of David on the wall above them — with the visuals also leaning heavily into antisemitic tropes.
Another ad X approved contained a direct attack on the SPD, the center-left party that currently leads Germany’s coalition government, with a bogus claim that the party wants to take in 60 million Muslim refugees from the Middle East, before going on to try to whip up a violent response. X also duly scheduled an ad suggesting “leftists” want “open borders”, and calling for the extermination of Muslims “rapists.”
Elon Musk, the owner of X, has used the social media platform where he has close to 220 million followers to personally intervene in the German election. In a tweet in December, he called for German voters to back the Far Right AfD party to “save Germany.” He has also hosted a livestream with the AfD’s leader, Alice Weidel, on X.
Eko’s researchers disabled all test ads before any that had been approved were scheduled to run to ensure no users of the platform were exposed to the violent hate speech.
It says the tests highlight glaring flaws with the ad platforms’ approach to content moderation. Indeed, in the case of X, it’s not clear whether the platform is doing any moderation of ads, given all 10 violent hate speech ads were quickly approved for display.
The findings also suggest that the ad platforms could be earning revenue as a result of distributing violent hate speech.
EU’s Digital Services Act in the frame
Eko’s tests suggests that neither platform is properly enforcing bans on hate speech they both claim to apply to ad content in their own policies. Furthermore, in the case of Meta, Eko reached the same conclusion after conducting a similar test in 2023 ahead of new EU online governance rules coming in — suggesting the regime has no effect on how it operates.
“Our findings suggest that Meta’s AI-driven ad moderation systems remain fundamentally broken, despite the Digital Services Act (DSA) now being in full effect,” an Eko spokesperson told TechCrunch.
“Rather than strengthening its ad review process or hate speech policies, Meta appears to be backtracking across the board,” they added, pointing to the company’s recent announcement about rolling back moderation and fact-checking policies as a sign of “active regression” that they suggested puts it on a direct collision course with DSA rules on systemic risks.
Eko has submitted its latest findings to the European Commission, which oversees enforcement of key aspects of the DSA on the pair of social media giants. It also said it shared the results with both companies, but neither responded.
The EU has open DSA investigations into Meta and X, which include concerns about election security and illegal content, but the Commission has yet to conclude these proceedings. Though, back in April it said it suspects Meta of inadequate moderation of political ads.
A preliminary decision on a portion of its DSA investigation on X, which was announced in July, included suspicions that the platform is failing to live up to the regulation’s ad transparency rules. However, the full investigation, which kicked off in December 2023, also concerns illegal content risks, and the EU has yet to arrive at any findings on the bulk of the probe well over a year later.
Confirmed breaches of the DSA can attract penalties of up to 6% of global annual turnover, while systemic non-compliance could even lead to regional access to violating platforms being blocked temporarily.
But, for now, the EU is still taking its time to make up its mind on the Meta and X probes so — pending final decisions — any DSA sanctions remain up in the air.
Meanwhile, it’s now just a matter of hours before German voters go to the polls — and a growing body of civil society research suggests that the EU’s flagship online governance regulation has failed to shield the major EU economy’s democratic process from a range of tech-fueled threats.
Earlier this week, Global Witness released the results of tests of X and TikTok’s algorithmic “For You” feeds in Germany, which suggest the platforms are biased in favor of promoting AfD content versus content from other political parties. Civil society researchers have also accused X of blocking data access to prevent them from studying election security risks in the run-up to the German poll — access the DSA is supposed to enable.
“The European Commission has taken important steps by opening DSA investigations into both Meta and X, now we need to see the Commission take strong action to address the concerns raised as part of these investigations,” Eko’s spokesperson also told us.
“Our findings, alongside mounting evidence from other civil society groups, show that Big Tech will not clean up its platforms voluntarily. Meta and X continue to allow illegal hate speech, incitement to violence, and election disinformation to spread at scale, despite their legal obligations under the DSA,” the spokesperson added. (We have withheld the spokesperson’s name to prevent harassment.)
“Regulators must take strong action — both in enforcing the DSA but also for example implementing pre-election mitigation measures. This could include turning off profiling-based recommender systems immediately before elections, and implementing other appropriate ‘break-glass’ measures to prevent algorithmic amplification of borderline content, such as hateful content in the run-up elections.”
The campaign group also warns that the EU is now facing pressure from the Trump administration to soften its approach to regulating Big Tech. “In the current political climate, there’s a real danger that the Commission doesn’t fully enforce these new laws as a concession to the U.S.,” they suggest.
Technology
The Case for Custom eLearning Platforms: Why Organizations Are Making the Switch
The corporate eLearning market has exploded in recent years, growing over 800% since 2000. As the demand for eLearning continues to accelerate, more and more organizations are finding that off-the-shelf solutions cannot keep pace with their training needs. This has led many companies to make the switch to custom-built eLearning platforms tailored specifically for their requirements.
There are several key reasons driving the demand for customized eLearning tools:
Greater Flexibility and Scalability
Generic eLearning software packages often impose rigid constraints that limit their ability to adapt to an organization’s evolving needs. Meanwhile, the “one-size-fits-all” approach fails to support the personalized learning critical for employee development. Custom platforms provide flexibility to add and modify features to match ever-changing business goals. As companies scale training across global workforces, custom solutions built on cloud infrastructure can scale seamlessly to handle growing demand.
Deeper Integration Across Systems
Smooth integration with existing HR, LMS, and other business systems is critical for optimizing training workflows. However, off-the-shelf tools rarely integrate well, creating data and process siloes. Custom platforms can tightly integrate role-based learning paths with core business applications, sync user profiles, enable single sign-on, and more. This level of integration catalyzes more impactful training function.
Better Data and Analytics
Generic software severely limits access to data insights that drive improvement. Custom platforms unlock a trove of analytics on content consumption, learner progression, platform adoption, and real-time feedback. Integrated analytics dashboards and APIs allow businesses to derive deep visibility across the learner lifecycle. These insights help continuously enhance learner experience, target development gaps, and demonstrate direct training ROI.
Enhanced Learner Engagement
For modern learners accustomed to consumer-grade digital experiences, poor platform usability quickly erodes engagement. Custom designs allow companies to incorporate familiar features from popular apps and websites while optimizing for their audience. Adaptive learning approaches further personalize content to individual styles and needs. With modular component architecture, custom platforms stay on the cutting edge of new modalities like AR/ VR to captivate learners.
Brand and Culture Alignment
Off-the-shelf tools impose a generic and often disruptive experience that clashes with existing brand identity and culture. In contrast, custom platforms allow organizations to carry over familiar styling, voice, and workflow patterns. Consistency in experience preserves brand recognition while smoother onboarding leads to wider adoption across all employee groups. Over time, the platform can evolve alongside cultural changes as well.
While custom elearning tools require greater upfront investment, for enterprise training needs, the long-term benefits far outweigh the costs. The ability to mold platforms to current and future needs results in greater leverage from learning spend.
As businesses demand ever-more from their learning technology, custom solutions provide the agility needed for true scale. Rather than forcing training functions into the constraints of generic software, custom elearning development keeps the focus on nurturing talent and capabilities. For any organization looking to drive workforce transformation through learning, custom elearning represents the way forward.
Technology
Pintarnya raises $16.7M to power jobs and financial services in Indonesia
Pintarnya, an Indonesian employment platform that goes beyond job matching by offering financial services along with full-time and side-gig opportunities, said it has raised a $16.7 million Series A round.
The funding was led by Square Peg with participation from existing investors Vertex Venture Southeast Asia & India and East Ventures.
Ghirish Pokardas, Nelly Nurmalasari, and Henry Hendrawan founded Pintarnya in 2022 to tackle two of the biggest challenges Indonesians face daily: earning enough and borrowing responsibly.
“Traditionally, mass workers in Indonesia find jobs offline through job fairs or word of mouth, with employers buried in paper applications and candidates rarely hearing back. For borrowing, their options are often limited to family/friend or predatory lenders with harsh collection practices,” Henry Hendrawan, co-founder of Pintarnya, told TechCrunch. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”
Around 59% of Indonesia’s 150 million workforce is employed in the informal sector, highlighting the difficulties these workers encounter in accessing formal financial services because they lack verifiable income and official employment documentation.
Pintarnya tackles this challenge by partnering with asset-backed lenders to offer secured loans, using collateral such as gold, electronics, or vehicles, Hendrawan added.
Since its seed funding in 2022, the platform currently serves over 10 million job seeker users and 40,000 employers nationwide. Its revenue has increased almost fivefold year-over-year and expects to reach break-even by the end of the year, Hendrawn noted. Pintarnya primarily serves users aged 21 to 40, most of whom have a high school education or a diploma below university level. The startup aims to focus on this underserved segment, given the large population of blue-collar and informal workers in Indonesia.
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“Through the journey of building employment services, we discovered that our users needed more than just jobs — they needed access to financial services that traditional banks couldn’t provide,” said Hendrawan. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”

While Indonesia already has job platforms like JobStreet, Kalibrr, and Glints, these primarily cater to white-collar roles, which represent only a small portion of the workforce, according to Hendrawan. Pintarnya’s platform is designed specifically for blue-collar workers, offering tailored experiences such as quick-apply options for walk-in interviews, affordable e-learning on relevant skills, in-app opportunities for supplemental income, and seamless connections to financial services like loans.
The same trend is evident in Indonesia’s fintech sector, which similarly caters to white-collar or upper-middle-class consumers. Conventional credit scoring models for loans, which rely on steady monthly income and bank account activity, often leave blue-collar workers overlooked by existing fintech providers, Hendrawan explained.
When asked about which fintech services are most in demand, Hendrawan mentioned, “Given their employment status, lending is the most in-demand financial service for Pintarnya’s users today. We are planning to ‘graduate’ them to micro-savings and investments down the road through innovative products with our partners.”
The new funding will enable Pintarnya to strengthen its platform technology and broaden its financial service offerings through strategic partnerships. With most Indonesian workers employed in blue-collar and informal sectors, the co-founders see substantial growth opportunities in the local market. Leveraging their extensive experience in managing businesses across Southeast Asia, they are also open to exploring regional expansion when the timing is right.
“Our vision is for Pintarnya to be the everyday companion that empowers Indonesians to not only make ends meet today, but also plan, grow, and upgrade their lives tomorrow … In five years, we see Pintarnya as the go-to super app for Indonesia’s workers, not just for earning income, but as a trusted partner throughout their life journey,” Hendrawan said. “We want to be the first stop when someone is looking for work, a place that helps them upgrade their skills, and a reliable guide as they make financial decisions.”
Technology
OpenAI warns against SPVs and other ‘unauthorized’ investments
In a new blog post, OpenAI warns against “unauthorized opportunities to gain exposure to OpenAI through a variety of means,” including special purpose vehicles, known as SPVs.
“We urge you to be careful if you are contacted by a firm that purports to have access to OpenAI, including through the sale of an SPV interest with exposure to OpenAI equity,” the company writes. The blog post acknowledges that “not every offer of OpenAI equity […] is problematic” but says firms may be “attempting to circumvent our transfer restrictions.”
“If so, the sale will not be recognized and carry no economic value to you,” OpenAI says.
Investors have increasingly used SPVs (which pool money for one-off investments) as a way to buy into hot AI startups, prompting other VCs to criticize them as a vehicle for “tourist chumps.”
Business Insider reports that OpenAI isn’t the only major AI company looking to crack down on SPVs, with Anthropic reportedly telling Menlo Ventures it must use its own capital, not an SPV, to invest in an upcoming round.
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