eSafety Commissioner and Sport Integrity Australia focus on online harms in sport

Australia’s eSafety Commissioner and Sport Integrity Australia have launched a joint initiative focused on online safety in sport.

The Online Safety in Sport Summit brought together representatives from sporting organisations, government agencies, researchers, law enforcement, and technology companies. The discussions focused on cyberbullying, online harassment, and harmful digital behaviour affecting athletes and sporting communities.

During the summit, Australia’s eSafety Commissioner Julie Inman Grant said harmful behaviour linked to sport increasingly occurs across social media, messaging applications, and online communities.

Research presented during the summit, titled ‘The Digital Sideline’, found that nearly one in five children participating in organised sport reported experiencing cyberbullying related to sporting activities.

Officials in Australia said that many reported online harms involved peers, including teammates and competitors, and occurred through private messages and group chats.

Participants highlighted the importance of prevention measures, early intervention, and cooperation between sporting organisations, regulators, and technology companies.

Why does it matter?

Online abuse within sport is becoming an increasingly significant policy and governance issue as digital platforms reshape athlete visibility, fan interaction, and youth participation. Cyberbullying, online harassment, and hate speech can affect mental health, athlete safety, participation rates, and broader social cohesion.

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OpenAI expands verification tools as AI slop blurs digital trust

OpenAI has announced new measures to strengthen the provenance and verification of AI-generated content as synthetic media becomes more widespread across digital platforms.

The company said it is expanding support for Content Credentials and compliance with the Coalition for Content Provenance and Authenticity (C2PA) standard. The standard uses metadata and cryptographic signatures to help ensure that information about a piece of media travels securely with the content, including details on where it came from and how it may have been created or edited.

OpenAI also plans to integrate Google DeepMind’s SynthID watermarking into images generated through ChatGPT, Codex and the OpenAI API. The company said SynthID will add an invisible watermarking layer that complements C2PA metadata, particularly when metadata is removed, lost, or altered during file conversions, resizing, screenshots, or other transformations.

The company said it is adopting a multi-layered provenance approach that combines metadata, watermarking and public verification tools rather than relying on a single detection method. According to OpenAI, C2PA can provide richer contextual information, while SynthID can help preserve a signal when metadata does not survive.

The move also connects to wider concerns about AI slop, as synthetic media and low-quality AI-generated content become harder to distinguish from authentic images. Provenance tools cannot solve the problem alone, but they can provide clearer signals about how digital media was created or modified.

OpenAI also previewed a public verification tool that will allow users to check whether ChatGPT, Codex or the OpenAI API generated an uploaded image. The tool will look for provenance signals, including Content Credentials and SynthID watermarks. Still, OpenAI said it will not make a definitive judgement when no signal is detected, because provenance signals can sometimes be removed.

At launch, the verification tool is limited to OpenAI-generated content. The company said it aims to support wider cross-platform verification efforts in the coming months and eventually expand support to more types of online content.

Why does it matter?

AI-generated content is becoming harder to distinguish from authentic media, fuelling concerns around AI slop, deepfakes and manipulated information. Provenance systems such as Content Credentials, watermarking and verification tools can help people understand where media came from and whether it was generated or modified by AI. However, OpenAI’s approach also shows the limits of technical detection: metadata can be stripped, watermarks may not survive every transformation, and no single method can provide complete certainty.

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FTC begins TAKE IT DOWN Act enforcement

The US Federal Trade Commission has begun enforcing the TAKE IT DOWN Act, requiring covered platforms to remove non-consensual intimate images and known identical copies within 48 hours of a valid request.

The FTC enforces Section 3 of the law, which sets a 19 May 2026 deadline for covered platforms to create a process allowing victims and survivors to request the removal of intimate photos or videos shared online without their consent.

As part of its enforcement role, the agency has launched TakeItDown.ftc.gov, a website where victims and survivors can submit complaints about platforms that fail to act on valid removal requests or have not created a removal process.

FTC Chairman Andrew N. Ferguson said the law gives families recourse against digital exploitation and extortion, particularly where children are affected. He added that ‘in the age of AI, anyone can be targeted’, making protections against abuse especially urgent.

The FTC has also published guidance for consumers whose non-consensual intimate images are posted online and separate guidance for businesses on complying with the law.

Ahead of the enforcement deadline, Ferguson sent letters to major platforms, including Alphabet, Amazon, Apple, Automattic, Bumble, Discord, Match Group, Meta, Microsoft, Pinterest, Reddit, SmugMug, Snapchat, TikTok and X, reminding them of their obligations under the TAKE IT DOWN Act.

Why does it matter?

The law gives victims of non-consensual intimate image abuse a faster route to removal and gives the FTC a direct enforcement role when platforms fail to comply. Its importance has grown with the spread of AI-generated sexual abuse material and deepfake tools, which can make intimate image abuse easier to create, copy and distribute at scale.

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Spotify verification badges target AI slop and voice impersonation

Spotify has introduced new verification badges for podcast shows and reinforced its impersonation policies as AI tools make it easier to clone voices, imitate creators and produce misleading audio content.

The new Verified by Spotify badge will appear on selected podcast show pages and in search results. According to Spotify, the badge identifies a show as the official presence of a creator, publisher or brand, helping listeners understand who they are hearing and giving creators a clearer way to establish authenticity on the platform.

Also, Spotify said the badge will begin appearing on select shows and expand over the coming months. Eligibility will depend on factors including sustained listener activity, good standing under Spotify’s platform policies and verified audience authenticity, including safeguards against fraudulent or bot-driven listenership.

Spotify is introducing podcast verification badges and stronger impersonation rules as AI slop expands into audio, voice cloning and creator identity.
Image via Magnific

The company also reaffirmed that its policies prohibit unauthorised impersonation, including through AI voice cloning. Spotify said it will remove podcast shows and content that impersonate another creator or host’s likeness without permission, whether through AI-generated voices or other methods.

However, the move shows how concerns over AI slop are expanding from low-quality visual and written content into audio and identity. In podcasting, the issue is not only whether synthetic content is poor quality, but whether listeners can tell when a voice, host or show is authentic.

Spotify framed the update as part of a broader effort to protect creators and give listeners clearer signals about who they are hearing. The company said podcasting depends on trust between creators and audiences, and that authenticity is becoming more complex as AI lowers the barrier to producing and distributing audio content.

Why does it matter?

AI slop is moving beyond visual clutter and into identity. In podcasting, synthetic voices and impersonation can directly affect the creator’s reputation, listener trust and the credibility of audio platforms. Spotify’s verification badges and impersonation rules show how platforms are beginning to respond not only with content moderation, but with identity signals, authenticity checks and stronger creator protections.

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Why digital literacy is becoming a strategic necessity in the AI era

For many years, digital policy focused mainly on connectivity. Governments measured progress through broadband expansion, smartphone adoption, internet penetration, and device accessibility. Success was defined by how many people could connect to digital networks rather than by how effectively they could navigate increasingly complex digital environments.

However, AI, algorithmic recommendation systems, synthetic media, and platform-driven information ecosystems are now forcing policymakers to reconsider this approach. Access alone no longer guarantees empowerment. Citizens may be connected to the digital world while remaining vulnerable to manipulation, misinformation, cyber fraud, algorithmic bias, and AI-generated deception.

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Digital literacy is therefore evolving into something much broader than technical competence. It gradually includes media literacy, AI literacy, critical thinking, online safety awareness, privacy protection, and the ability to evaluate the credibility of information sources. In many countries, digital literacy is becoming directly linked to democratic resilience, social cohesion, economic competitiveness, and national security.

International organisations, regulators, and governments are beginning to frame digital literacy not merely as an educational issue but as a structural policy challenge. UNESCO initiatives, EU educational frameworks, online safety regulations, and national AI strategies all point to the same conclusion: societies are entering a phase where the ability to critically navigate digital systems may become as important as traditional literacy itself.

From digital access to digital judgement

The shift from access to judgement is becoming visible across multiple policy initiatives worldwide. Early digital inclusion strategies focused on closing infrastructure gaps and improving affordability. Current discussions increasingly focus on cognitive resilience and information integrity.

For example, UNESCO’s ‘Digital Citizens for Peace’ initiative in Pakistan offers a strong example of that transition. Pakistan has more than 205 million mobile subscribers and over 116 million internet users, yet UNESCO describes a growing ‘literacy-connectivity gap’. Digital access has expanded far faster than critical media literacy capabilities, leaving many users exposed to disinformation and online manipulation.

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Rather than relying only on reactive fact-checking, UNESCO’s programme seeks to foster long-term digital judgement. Young journalists and content creators participate in media and information literacy camps that combine mentorship, role-playing exercises, ethical communication practices, and collaborative learning. Participants are encouraged not only to recognise misinformation but also to understand the broader social consequences of hate speech, manipulation, and digital polarisation.

Such programmes reflect an important evolution in policymaking. Digital literacy is no longer treated as a narrow technical skill associated with operating software or navigating websites. Increasingly, policymakers view it as a civic competence linked to democratic participation and responsible engagement in digital spaces.

That transition matters because modern information environments are no longer passive. Algorithms actively shape what users see, recommend emotionally engaging material, and amplify content capable of driving interaction. We, as citizens, therefore, need to understand not only the information itself, but also the systems that distribute it.

AI raises the stakes

AI dramatically intensifies these challenges. Generative AI systems can now produce realistic text, audio, images, and video at scale, often with minimal cost or expertise required. As we already know, deepfakes, synthetic media, AI-generated propaganda, and automated misinformation campaigns are becoming easier to deploy and harder to identify.

Such developments are forcing governments and educational institutions to rethink how societies prepare citizens for digital environments increasingly influenced by AI systems.

The Council of the European Union has recently called for a ‘human-centred approach’ to AI in education, stressing that teachers must remain central to the learning process even as AI tools expand across classrooms.

Furthermore, the Council has highlighted several major risks associated with AI integration, including misinformation, algorithmic bias, unequal access to digital resources, excessive technological dependence, and data protection concerns.

Importantly, the Council has not framed AI literacy as a purely technical matter. Instead, European policymakers have emphasised critical reflection, ethical understanding, and responsible digital citizenship. Teachers are described not merely as users of AI systems, but as guides capable of helping students understand limitations, biases, and broader societal implications.

That distinction is critical. AI literacy cannot simply mean learning how to use AI tools productively. Communities also need to understand how such systems influence perception, automate decisions, and shape public discourse. Without these skills, populations may struggle to distinguish authentic information from synthetic manipulation.

As such, digital literacy increasingly intersects with cyber resilience. Individuals and organisations need to understand the emerging threats connected to synthetic media, AI-driven fraud, deepfake impersonation, and automated social engineering techniques.

Education systems are the first line of defence

Schools and universities are gradually becoming central pillars of digital resilience strategies. Educational institutions are expected to prepare students not only for labour markets shaped by AI but also for digital societies susceptible to manipulation and polarisation.

That challenge places considerable pressure on teachers. Many education systems still struggle with uneven digital infrastructure, insufficient training, and outdated curricula. AI adoption risks widening those gaps if implementation occurs without adequate preparation.

UNESCO initiatives reflect similar priorities globally. In Tanzania, UNESCO supported ICT teacher training programmes involving 139 ICT master trainers across 20 regions. 15 online ICT modules were integrated into broader professional development systems, helping educators build long-term digital competencies rather than relying on isolated workshops.

Such efforts reveal an important reality often overlooked in AI discussions. Technology alone does not transform education. Institutional capacity, teacher confidence, curriculum design, and long-term support mechanisms remain equally important.

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Education systems also face a delicate balancing act. AI tools may improve accessibility, personalise learning experiences, and reduce administrative burdens. At the same time, overreliance on automation could weaken concentration, analytical thinking, and independent problem-solving abilities among students.

Several governments are therefore attempting to preserve human oversight while embracing technological innovation. European frameworks increasingly stress ‘digital humanism’, ensuring that AI systems support rather than replace human agency and democratic values.

Misinformation and civic resilience

The relationship between digital literacy and democratic resilience is becoming increasingly direct. Misinformation campaigns no longer operate only through fringe websites or isolated propaganda channels. False narratives now spread through mainstream social platforms, encrypted messaging applications, short-form video systems, and AI-generated media.

UNESCO’s ‘Share Responsibly’ campaign in Lebanon illustrates how policymakers are attempting to address misinformation as a social behaviour problem, not just a technological issue. Rather than focusing exclusively on platforms, the campaign highlights everyday spaces such as taxis, shops, and public areas where digital misinformation circulates through ordinary conversations and social sharing practices.

UNESCO and Lebanon launch national campaign promoting media literacy and responsible information sharing.

This approach, among other national and institutional initiatives (EU, governments, etc), recognises an important reality: misinformation spreads because people trust familiar networks and emotionally engaging narratives. Digital literacy, therefore, requires behavioural and cultural dimensions alongside technical awareness.

AI further complicates this dynamic. Synthetic voices, realistic avatars, and automated content generation systems can manufacture the illusion of public consensus. Information operations become more scalable, more personalised, and potentially more persuasive.

Growing concerns around online radicalisation, conspiracy movements, and digital polarisation explain why many governments now frame digital literacy as part of broader societal resilience strategies. Citizens capable of critically assessing digital content are less vulnerable to manipulation, foreign influence operations, and emotionally driven misinformation ecosystems.

Platform design and user autonomy

Digital literacy alone cannot solve the structural problems embedded in digital platforms themselves. Society may develop stronger critical thinking skills while remaining exposed to systems intentionally designed to maximise engagement, emotional reaction, and behavioural influence.

Regulators are increasingly recognising that platform architecture matters as much as user education.

European regulators have intensified scrutiny of recommender systems, addictive platform features, and manipulative interface design. Investigations involving major technology firms increasingly focus on algorithmic amplification, dark patterns, and risks connected to minors’ online experiences.

The UK’s Ofcom has also strengthened its focus on online safety obligations involving children, illegal content, and algorithmic harms under the Online Safety Act. Such initiatives reflect a growing understanding that digital literacy must be paired with platform accountability.

UK child safety enforcement expands as Ofcom investigates adult sites over age-check compliance.

Individuals cannot realistically bear the full responsibility of navigating opaque recommendation systems, behavioural targeting mechanisms, and AI-driven engagement architectures alone. Effective digital governance requires a dual approach: empowering users while regulating platform behaviour.

That broader regulatory environment is reshaping the way policymakers think about digital citizenship. Instead of assuming neutral technological environments, governments increasingly recognise that digital systems actively influence behaviour, attention, and perception.

AI literacy and the future workforce

Digital literacy debates increasingly extend beyond democratic resilience into labour markets and economic competitiveness. AI systems are transforming workplaces across industries, forcing workers to adapt continuously to changing technological environments.

The World Economic Forum has argued that organisations succeeding with AI are redesigning workflows around human-machine collaboration rather than simply deploying technology. HR leaders are increasingly expected to oversee continuous learning systems, workforce adaptation, and AI-related reskilling strategies.

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Research by the International Labour Organization similarly highlights growing risks of inequality if lifelong learning systems fail to evolve quickly enough. Workers lacking digital and AI-related skills may face exclusion from emerging labour markets, while technological concentration could deepen economic disparities between regions and social groups.

Such developments demonstrate that digital literacy is no longer confined to classrooms. Governments increasingly view AI and digital competencies as long-term economic infrastructure linked to productivity, competitiveness, and social stability.

National frameworks and international governance

As highlighted previously, the growing strategic importance of digital literacy is visible across national and international governance frameworks. UNESCO, the EU, Canada, China, Australia, and multiple other jurisdictions are integrating AI literacy, ethical governance, and digital resilience into broader policy agendas.

China has recently launched pilot programmes for AI ethics review and governance services, focusing on risks such as algorithmic discrimination and emotional dependence. European institutions continue to expand AI education frameworks and digital rights protections.

Despite different political systems and regulatory philosophies, many governments are converging around similar concerns. AI systems simultaneously influence education, labour markets, information ecosystems, public trust, cybersecurity, and democratic participation.

That convergence explains why digital literacy is now being discussed alongside concepts such as strategic autonomy, societal resilience, and democratic stability.

Limitations and unresolved tensions

Digital literacy initiatives nevertheless face important limitations. Awareness campaigns alone cannot resolve structural inequalities, opaque algorithms, or concentrated technological power.

There is also a risk that governments and technology firms will frame digital literacy as an individual responsibility, avoiding deeper questions about platform incentives, surveillance-based business models, and algorithmic amplification.

Citizens cannot realistically detect every deepfake, evaluate every manipulated narrative, or fully understand every AI system they encounter. Excessive reliance on individual vigilance may therefore create unrealistic expectations.

Educational inequalities present another major challenge. Wealthier regions often have stronger infrastructure, better-trained educators, and greater institutional capacity to adapt curricula. Less developed areas may struggle to implement sophisticated AI literacy programmes, potentially widening global and domestic divides.

In conclusion, digital literacy is gradually evolving into one of the defining governance challenges of the AI era. Connectivity alone no longer guarantees meaningful participation in digital societies shaped by algorithms, synthetic media, and automated systems.

Governments, regulators, and international organisations are now recognising that societies require more than infrastructure and access. Citizens need the capacity to critically evaluate information, understand AI systems, recognise manipulation, and participate responsibly in digital environments.

The next phase of digital transformation will therefore not be defined solely by technological sophistication. It will instead depend on whether societies can develop individuals capable of understanding, questioning, and shaping ever more powerful digital systems rather than passively consuming them.

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UN experts raise concerns over online pornography platforms and digital intermediaries

UN human rights experts have raised concerns about the role of online pornography platforms, payment providers, and internet companies in enabling and monetising sexual exploitation and non-consensual content involving women and girls.

In a statement released in Geneva, the experts focused on Pornhub and its parent company Aylo Holdings, while also referencing broader concerns involving user-generated pornography platforms, payment networks, and search and technology companies linked to online distribution systems.

The experts said businesses involved in digital content ecosystems should not avoid responsibility where their services contribute to human rights violations. They called for stronger safeguards, including mandatory third-party age and consent verification systems for user-generated pornography platforms.

The statement urged the governments of the United States and Canada to pursue stronger regulatory and legal responses. According to experts, Canada acknowledged the need to modernise privacy legislation and to strengthen accountability requirements for digital platforms that host harmful content.

The experts also raised concerns about the burden placed on victims seeking the removal of non-consensual intimate content. They said victims are often required to repeatedly report abusive material that may continue circulating online even after complaints are filed.

The statement called for stronger moderation and monitoring systems, alongside obligations for platforms to remove violent, abusive, and non-consensual content involving both adults and children.

The experts acknowledged that Aylo has introduced changes to moderation and verification practices in recent years. However, they argued that these measures followed legal action, public pressure, and investigations linked to online exploitation and failures in content verification.

The statement referenced a deferred prosecution agreement reached in the United States in 2023 involving Aylo. Under the agreement, the company accepted financial penalties, compensation measures, and external monitoring arrangements. The experts expressed concern that the arrangement may not provide full corporate accountability for harms linked to the platform’s operations.

The communication also noted ongoing engagement with companies, including Mastercard, Visa, Google, Meta, and Microsoft, regarding their role in digital infrastructure, payment systems, and traffic distribution connected to online pornography platforms.

The statement was issued by Reem Alsalem, UN Special Rapporteur on violence against women and girls, and Ana Brian Nougrères, UN Special Rapporteur on the right to privacy. The experts serve independently under the UN Human Rights Council’s Special Procedures framework.

Why does it matter?

The discussion reflects wider international debates over platform accountability, online safety, content moderation, digital payments infrastructure, and the role of technology companies in addressing harmful and non-consensual online content.

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UNESCO highlights role of media literacy in the age of AI

The UNESCO Institute for Lifelong Learning will host a webinar on media and information literacy in the age of AI, focusing on how youth, adults, and adult educators can respond to misinformation and changing digital environments.

The webinar, titled ‘From misinformation to empowerment – Media literacy for youth and adults in the age of AI’, will take place as part of UIL’s global webinar series, ‘Unlocking the power of lifelong learning’.

Organised with UNESCO’s Media and Information Unit within the Communication and Information Sector, the event will mark World Telecommunication and Information Society Day. It will bring together policymakers, researchers, and practitioners from countries of the Global Alliance for Literacy.

According to UIL, social media, algorithmic filtering, and generative AI are affecting how people access and evaluate information online. UIL said these technologies create new opportunities while also contributing to challenges related to misinformation and disinformation.

The UNESCO webinar will examine the role of media and information literacy in adult learning and education, with particular attention to adult educators. According to UIL, adult educators play a role in supporting critical thinking, media engagement, and digital competencies.

The event will also include the launch of a new multilingual self-learning course on media and information literacy for adult educators. The course will provide practical tools, examples, and strategies related to media and information literacy in digital environments.

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UK regulator updates online safety guidance on AI-generated intimate imagery

Ofcom has announced proposed measures intended to strengthen protections against illegal intimate image abuse online, including AI-generated explicit deepfakes and non-consensual image sharing.

The UK regulator said it is updating its Illegal Content Codes to recommend that certain online platforms use automated detection technologies to identify illegal intimate images.

According to Ofcom, hash matching systems convert images into digital identifiers that can help platforms detect repeated uploads of harmful content. Ofcom specifically referenced the StopNCII database as a recommended tool for platforms implementing the technology.

Ofcom said the measures are intended to improve protections against AI-generated intimate imagery and digitally manipulated sexual content.

The recommendations complement recent UK legislation addressing non-consensual intimate imagery and AI-enabled nudification tools.

Ofcom said the updated Illegal Content Codes are expected to enter into force in autumn 2026, subject to parliamentary approval. The regulator also said additional online safety measures under consultation may be announced later in the year.

The measures form part of the UK’s implementation of the Online Safety Act and related online safety obligations for digital platforms.

Why does it matter?

AI-generated deepfakes and synthetic sexual imagery are rapidly becoming major online safety and digital rights concerns globally. Regulators increasingly fear that existing moderation systems cannot keep pace with the scale and speed of AI-generated abuse. Ofcom’s decision illustrates how governments are beginning to shift towards mandatory or strongly encouraged proactive detection systems, particularly for highly harmful content involving intimate imagery, harassment, and exploitation.

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YouTube expands AI likeness detection tool to more creators

YouTube said it is expanding its AI likeness detection tool to all eligible creators over 18, allowing more users to identify and request the removal of unauthorised AI-generated videos that use their facial likeness.

The company said the feature, available through YouTube Studio, is intended to detect altered or synthetic videos that may depict a user’s face. Once enrolled, users can review detected matches and request the removal of content that violates YouTube’s Privacy Guidelines.

The platform said likeness detection had recently been introduced as a pilot for creators in the YouTube Partner Program and will now roll out gradually over the coming weeks to all eligible creators aged 18 or older.

YouTube said the tool is intended to help users understand where their likeness appears, safeguard their identity, and protect audiences from being misled by AI-generated depictions.

To enrol, users must grant the platform permission to use likeness-detection technology and complete a one-time verification process. According to YouTube, the tool works only on facial likeness and does not cover other identifying features such as voice.

YouTube said removal requests will be assessed under YouTube’s privacy policy, including whether the content is realistic, whether it is labelled as AI-generated, and whether the person can be uniquely identified. The company also provides exceptions for content such as parody or satire.

YouTube spokesperson Jack Malon said:

‘With this expansion, we’re making clear that whether creators have been uploading to YouTube for a decade or are just starting, they’ll have access to the same level of protection.’

The expansion follows earlier testing with creators and broader availability for groups including public officials, politicians, journalists, and the entertainment industry. It comes amid growing concern about deepfakes affecting both public figures and private individuals.

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UK’s Ofcom accepts X commitments on illegal hate and terror content moderation

Ofcom has accepted a series of public commitments from X aimed at strengthening protections for UK users against illegal hate speech and terrorist content under the Online Safety Act framework.

Under the commitments, X will review suspected illegal terrorist and hate content reported through its dedicated UK illegal content reporting tool within an average of 24 hours. As a backstop, the platform will review at least 85% of such reports within 48 hours. Ofcom said the targets, if met, would give UK users some of the strongest protections on X globally.

X is also committed to engaging external experts on reporting systems for illegal hate and terror content, following concerns from organisations that reports submitted to the platform were not always clearly acknowledged or acted on. The company also said it would withhold access to accounts reported for posting illegal terrorist content in the UK if it determines they are operated by or on behalf of a terrorist organisation proscribed in the UK.

Ofcom said X will submit quarterly performance data over the next 12 months so the regulator can monitor whether the platform is meeting its commitments. The regulator added that its broader compliance programme examining how major social media services handle illegal hate and terrorist material remains ongoing.

The announcement comes amid wider scrutiny of illegal hate content on major social media platforms. Ofcom said evidence gathered from civil society and expert organisations, including the Antisemitism Policy Trust, Tech Against Terrorism and Tell MAMA, indicates that such content persists on some of the largest social media sites.

Ofcom also noted that its investigation into X’s Grok remains ongoing, focusing on the company’s compliance with duties to deal with illegal content and the systems it has in place to do so.

Why does it matter?

The commitments show how the UK’s Online Safety Act is beginning to translate into concrete performance expectations for major platforms. Review-time targets, expert engagement and regular reporting to Ofcom could make illegal hate and terrorist content moderation more measurable. Still, the wider test will be whether X delivers these protections in practice and whether similar pressure is applied across other large platforms.

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