Meta discontinues misinformation monitoring tool amid concerns over Hebrew moderation

Meta originally acquired CrowdTangle in 2016 to enhance content insights for publishers tracking content across platforms such as X (formerly Twitter), Reddit, Instagram, Facebook, and YouTube. (AFP/File)
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Updated 15 August 2024
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Meta discontinues misinformation monitoring tool amid concerns over Hebrew moderation

  • Company resisted calls to delay shutdown of CrowdTangle until after US elections, said tool was ‘hard to maintain’
  • Action coincides with allegations that company struggles with content moderation in Hebrew, as previously highlighted by Arab News

LONDON: Meta has announced that it has shut down CrowdTangle, a tool widely used by researchers, watchdogs, and journalists to monitor social media posts in real time.

The decision comes at a critical juncture, with new reports revealing Meta’s ongoing struggles to moderate content in Hebrew, and just months before the US presidential election.

The discontinuation of CrowdTangle, which Meta had announced earlier this year, has sparked protests from researchers and nonprofits, including the Center for Democracy and Technology, the Digital Forensic Research Lab at the Atlantic Council, Human Rights Watch, and New York University’s Center for Social Media and Politics.

These organizations have urged Meta to delay the shutdown by six months, arguing that the tool is crucial for studying the impact of social media on public discourse.

In a joint letter they said that Meta “has a responsibility to ensure that the public, independent researchers, journalists, and policymakers can study and address the impact that platforms and their algorithms are having.”

Meta responded earlier this week, saying that CrowdTangle was being discontinued because it had become “hard to maintain” and “does not provide a representative picture of what is happening on our platforms.”

The company plans to replace CrowdTangle with the Meta Content Library, a new tool that is believed to offer more extensive data, including the ability to analyze comments.

However, access to this tool will be limited to researchers affiliated with nonprofit institutions, who must apply through a third party partnered with Meta.

News publishers and other groups with commercial interests will not be eligible for access.

The letter said: “This decision jeopardizes essential pre- and post-election oversight mechanisms and undermines Meta’s transparency efforts during this critical period, and at a time when social trust and digital democracy are alarmingly fragile.”

Meta originally acquired CrowdTangle in 2016 to enhance content insights for publishers tracking content across platforms such as X (formerly Twitter), Reddit, Instagram, Facebook, and YouTube.

CrowdTangle became a key tool over the years for tracking the flow of information on social media, including viral falsehoods that led to real-world harm.

Its shutdown coincides with a new scandal facing Meta. Reports on Thursday revealed the company’s ongoing difficulties in moderating content related to the Israel-Palestine conflict, particularly in Hebrew.

Arab News earlier this month reported that, despite recent internal policy changes, Meta’s lack of sufficient investment had led to a spike in violent and harmful content, primarily in Hebrew.

A former Meta employee highlighted inequities in Meta’s policies governing hate speech related to Palestine, noting that fear of retaliation for raising concerns about content related to the conflict suggested the company’s priorities were “not about actually making sure content is safe for the community.”

One internal document revealed that Meta’s policies required the removal of statements like “boycott Jewish shops” and “boycott Muslim shops” but allowed the phrase “boycott Arab stores.”


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.