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Russia’s war propaganda gets a soundtrack – how AI-generated songs reached global streaming platforms Russian war propaganda is no longer confined to television broadcasts, Telegram channels or political videos. A study by the Ukrainian threat-intelligence organisation Terrecon has identified 981 songs combining signs of AI generation with pro-Russian military narratives, distributed through an ecosystem that reaches YouTube, Spotify, Apple Music, Deezer and SoundCloud. The songs range from sentimental ballads to rock and heavy metal. Their recurring themes are familiar from conventional Russian wartime propaganda: the heroisation of Russian soldiers, romanticisation of the war, mobilisation, the “Russian world”, commemoration of fallen troops and attacks on Ukraine and its armed forces. Some contain derogatory or dehumanising references to Ukrainians. What is new is not necessarily the message, but the production and distribution model: generative AI allows propagandistic music to be produced rapidly, cheaply and in quantities that would previously have required musicians, studios and producers. Nearly 1,000 tracks identified Terrecon examined 3,725 tracks collected from YouTube, YouTube Music, SoundCloud and the AI music platform Suno. After manual review, researchers classified 981 as showing both indications of AI generation and pro-Russian war propaganda. In 681 tracks they identified 728 propaganda-related keywords or phrases. The largest category was the glorification of the Russian military, followed by romanticised treatment of Moscow’s so-called “special military operation”, mobilisation appeals, narratives about the “Russian world”, and the cult of fallen soldiers and the state. The reach was not merely theoretical. Listening or viewing statistics were available for 608 of the identified tracks; together they had accumulated 86.8 million plays and views, according to Terrecon. A smaller group of 13 high-performing songs accounted for more than 53 million YouTube views and more than 67 million when YouTube Music was included. Among the better-known examples is “Power of Artillery”, a Russian-language rock song praising artillery weapons that passed two million views on YouTube. Most of the tracks for which publication dates could be established appeared after 2024, broadly coinciding with the rapid expansion of consumer AI music generators such as Suno and Udio. That correlation does not prove that AI alone caused the increase, but it illustrates how drastically the economics of production have changed. A propaganda song for as little as $11 Terrecon also tested how difficult it would be to commission such material. Researchers approached 25 creators producing AI-assisted militaristic music; 15 agreed to take commissions. Prices ranged from approximately $11 to $330, while delivery times ranged from two hours to three days. According to Terrecon, some were prepared to produce highly aggressive anti-Ukrainian material, including content intended for audiences involving children from occupied Ukrainian territories. Some creators used Russian intermediary services that provided access to Western AI tools such as Suno and Udio despite restrictions. The researchers then tested several AI generators themselves. Across 40 prompts submitted to Suno, Udio, Mureka, Google Flow Music and ElevenLabs, 25 resulted in successful generations, while safeguards were circumvented in 15 cases. Terrecon reported that four of the five services tested produced Russian-language material containing wartime narratives, although technical problems prevented comparable testing on some systems. In one Udio experiment, the researchers said the model itself introduced more explicit violent language than had appeared in the original promp These tests do not demonstrate that the commercial platforms knowingly support Russian propaganda. They show something narrower: existing safeguards can be inconsistent when political messaging is packaged as music. From generation to Spotify The distribution experiment may be the most revealing part of Terrecon’s research. The team deliberately uploaded test tracks containing explicit hostile language to YouTube, SoundCloud, Spotify and Deezer. Terrecon says none was blocked during the experiment. On SoundCloud, researchers used an account identifying its location as Moscow, disclosed the use of AI and added markers including references to the Russian military and the war. The platform accepted the upload and subsequently offered paid promotional and distribution tools. This does not prove that streaming recommendation systems systematically promote pro-war music. There is currently insufficient public evidence to make that claim. It does demonstrate that material can enter the same commercial distribution infrastructure as ordinary music and, once there, potentially benefit from playlists, searches, sharing and recommendation mechanisms available to other releases. That distinction is important. Propaganda no longer has to announce itself as political communication. On a streaming platform it can look like another song. Culture as a delivery mechanism Music has always been used in wartime propaganda. What generative AI changes is scale. Instead of investing heavily in a limited number of patriotic performers or officially commissioned productions, creators can generate variations across styles, audiences and emotional registers at very low cost. Terrecon found material ranging from war rock to sentimental songs and content styled for younger audiences. Some creators also experimented with cloned celebrity voices and stylistic imitation of established musicians. The format also offers a different relationship with the audience. A political video asks a viewer to consume an argument. Music can accompany commuting, exercise or entertainment and may be encountered outside explicitly political spaces. This does not automatically make it more persuasive, and Terrecon’s research does not establish measurable effects on political attitudes. It does, however, place wartime narratives inside a cultural environment where users may not initially perceive themselves as consuming political messaging. An ecosystem, not a proven Kremlin command structure The strongest evidence supports describing this as a growing AI-assisted pro-Russian propaganda-music ecosystem, not a single operation controlled from Moscow. Terrecon did not establish that the Russian government created, financed or coordinated all 981 tracks. Reporting on the study likewise notes that the extent of direct state involvement remains unclear. There is broader evidence that the Russian state finances cultural projects and digital content supporting the war, including through state-backed funding bodies. That context matters, but it does not allow individual songs in Terrecon’s dataset to be attributed to the Kremlin without additional evidence. The significance of the case lies elsewhere. AI has reduced the cost of producing ideological content, intermediaries can help creators access generation tools, and global platforms can provide distribution. The result is a pipeline in which wartime propaganda no longer has to resemble propaganda at all. It can simply appear in a playlist. Sources Terrecon / Ukrainska Pravda — Daria Verbytska on the research https://www.pravda.com.ua/columns/2026/10/05/8056229/ Suspilne Culture — detailed breakdown of Terrecon findings https://suspilne.media/culture/1417933-rosijsku-voennu-propagandu-maskuut-pid-anime-karaoke-ta-rok-doslidzenna-si-pisen-vid-terrecon/ The Insider — AI-generated Russian war propaganda music https://theins.ru/news/297839 Institute of Mass Information — summary of New York Times reporting https://imi.org.ua/en/news/doslidzhennya-rf-masovo-stvoryu%D1%94-propagandistski-pisni-za-dopomogoyu-shi The Bridge Media — AI-generated songs and Russian military propaganda https://thebridgemedia.com.ua/en/ai-generated-songs-russian-military-propaganda/ Center for Strategic Communication — cost and production of AI propaganda music https://spravdi.org/propaganda-za-11-yak-rosiya-shtampuye-shi-pisni-z-miljonamy-prosluhovuvan/ Times of India — AI-generated Russian war songs https://timesofindia.indiatimes.com/world/europe/ai-sings-russias-war-story-inside-the-rise-of-generative-songs-about-ukraine-conflict/articleshow/134650594.cms EU Council / EUR-Lex — Presidential Foundation for Cultural Initiatives https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32026D1351 Human Rights Watch — Russian state funding of digital and patriotic content https://www.hrw.org/report/2025/07/30/disrupted-throttled-and-blocked/state-censorship-control-and-increasing-isolation #DISINFORMED #Episode16 #Russia #Ukraine #RussianPropaganda #WarPropaganda #MusicPropaganda #AIMusic #ArtificialIntelligence #AI #GenerativeAI #SyntheticMedia #AIPropaganda #Disinformation #InformationWarfare #InfluenceOperations #CulturalPropaganda #DigitalInfluence #NarrativeManipulation #PropagandaMusic #StreamingPlatforms #Spotify #AppleMusic #YouTube #YouTubeMusic #Deezer #SoundCloud #Suno #Udio #RussianWorld #RusskiyMir #MilitaryPropaganda #WarNarratives #Mobilisation #AlgorithmicDistribution #RecommendationAlgorithms #MusicStreaming #PlatformManipulation #Terrecon #OSINT #MediaManipulation #WRLD

Nigeria – how pro-Russian influence networks sell military rule as the answer When Nigerians took to the streets in August 2024 to protest soaring living costs and frustration with government, some demonstrations acquired an unexpected symbol: the Russian flag. In Kano, Kaduna and other northern cities, protesters were filmed carrying Russian colours and calling for Moscow’s intervention. Some demanded a military takeover. What initially looked like an unusual expression of anger has since become part of a much larger picture. A September 2026 assessment by the Africa Center for Strategic Studies describes Nigeria as a major target of overlapping foreign information operations, with Russia the most active external actor in its information space. The report does not identify a single centrally controlled campaign. Instead, it maps an ecosystem in which genuine dissatisfaction over insecurity, corruption and living standards is repeatedly redirected towards a broader proposition: democratic government has failed, while the military-led regimes of the Sahel offer a more effective alternative. Turning a real protest into a pro-Russian message The clearest example emerged during the 2024 #EndBadGovernance protests. Nigerian investigative reporting found that a Kano-based TikTok influencer with more than 100,000 followers had been paid through a Telegram channel associated with African Initiative, a Moscow-based media operation linked by researchers to Russian influence activity in Africa. The influencer said the channel supplied photographs, videos and talking points for redistribution on TikTok and Instagram. Among the messages provided were phrases such as “Putin please come and save Nigeria” and “The army is the answer for Nigeria”. Influencers were encouraged to use Hausa-language hashtags including #Zangazanga – “protest” – alongside references to Putin and Russia. Investigators identified 38 accounts circulating similar pro-Russian and pro-military narratives during the demonstrations. Russian flags subsequently appeared among protesters in several northern cities. This does not mean the protests themselves were created by Russia. They were driven by genuine economic and political grievances, and Nigerian protesters gave different reasons for carrying Russian flags. The important feature of the influence activity was precisely that it did not need to manufacture the original anger. It could attach a geopolitical message to an existing domestic crisis. From frustration to the idea of military government The narrative fits a wider pattern seen across West Africa. Russia has developed close relations with the military governments of Mali, Burkina Faso and Niger, while pro-Russian media ecosystems routinely portray those states as examples of sovereignty, stability and resistance to Western influence. Nigeria, by contrast, has remained under constitutional civilian government since 1999. Africa Center researchers say information networks targeting Nigerians increasingly contrast these two models. Recurring messages depict elections as wasteful or predetermined, civilian institutions as incapable of protecting citizens and military governments as more decisive on security and development. Some content portrays the Sahelian juntas as delivering better roads, lower prices and stronger security even where available evidence points to continuing or worsening instability. Language is central to the strategy. Hausa is spoken across northern Nigeria and neighbouring Niger, allowing political narratives to travel across borders that are far less important online than they are on maps. HumAngle documented efforts involving Nigerien state-linked actors to cultivate Hausa-speaking journalists and distribute material favourable to Niger’s junta and hostile to France and Western influence. The Russian and Sahelian-junta information ecosystems are not identical, but their narratives frequently reinforce one another. Fake journalists inside real Nigerian media The campaign environment extends beyond social media. A 2026 investigation by Graphika and Code for Africa identified 44 ghost reporters and fake experts whose identities were used to place Russia-aligned narratives in African media. Thirty-eight were assessed with high confidence to be fabricated. Their articles or quotations appeared across 138 websites and were amplified by at least 113 Facebook accounts and Pages. Nigeria was one of the most heavily targeted countries. According to the Africa Center’s analysis of the research, Daily Post Nigeria carried 39 articles involving 14 identified ghost authors. Once published by a genuine Nigerian outlet, such material could then be cited by other websites, social-media accounts or even Russian official channels as though it had originated independently in Africa. This is information laundering rather than simple propaganda: the most valuable asset being borrowed is the credibility of the local newsroom. Generative AI added another layer. OpenAI and Meta separately disrupted a Russia-origin network that produced Africa-focused political content and operated Facebook Pages posing as local media organisations. One fabricated commentator, “Dr Manuel Godsin”, was presented as a European-trained geopolitical expert although investigators found no evidence supporting his academic biography. ChatGPT had been used to generate articles under the persona’s name, while Meta removed 37 Facebook accounts and 29 Pages connected to the broader network. Different networks, similar strategic direction It would be misleading to merge all these activities into a single Russian command structure. The African Initiative-linked influencer campaign, the ghost-reporter network and the AI-enabled operation disrupted by OpenAI and Meta were uncovered separately and used different infrastructure. Public evidence does not demonstrate that every actor reported to the same organisation. What connects them is a recurring set of themes and methods: portraying Western partnerships as exploitative, presenting Russia as an alternative security partner, amplifying failures of civilian government, and giving military-led rule greater legitimacy. Investigative reporting on leaked Russian documents has meanwhile described a much wider influence apparatus operating across Africa, involving political consultants, paid journalists, influencers and locally tailored campaigns intended to reduce Western influence and expand Moscow’s position. The underlying technique is less about inventing dissatisfaction than redirecting it. Nigeria faces real security threats, economic pressure and public frustration. Influence operators do not need to persuade Nigerians that those problems exist. They need only influence the explanation for why they exist – and which political model appears to offer the answer. That is what makes the Nigerian case significant. The most effective propaganda does not necessarily introduce a completely false reality. It takes a real crisis and changes where the audience is encouraged to look for the solution. Sources Africa Center for Strategic Studies — The Raging Information Battle in Nigeria https://africacenter.org/spotlight/the-raging-information-battle-in-nigeria/ Graphika — Umbrae Ex Machina https://www.graphika.com/reports/umbrae-ex-machina OpenAI — Operation “No Bell” https://openai.com/index/disrupting-malicious-uses-of-ai-no-bell/ TheCable — Ghost reporters in African media https://www.thecable.ng/ghost-reporters-how-fabricated-african-voices-carried-pro-russia-narratives/ HumAngle — Nigeria Is Facing an Information War in Its Own Language https://www.humanglemedia.com/nigeria-is-facing-an-information-war-in-its-own-language DAIDAC / CJID — Russian influence during #EndBadGovernance https://daidac.thecjid.org/how-telegram-tiktok-aided-russian-disinformation-that-led-to-incarceration-of-nigerian-minors/ FactCheckHub — How Nigeria’s hunger protest took a radical turn https://factcheckhub.com/from-economic-protests-to-coup-agitation-how-nigerias-hunger-march-took-a-radical-turn/ News24 — Fake Kremlin-linked analyst planted stories in African media https://www.news24.com/southafrica/news/ai-expert-exposed-fake-kremlin-linked-analyst-planted-stories-in-african-media-20260318-0560 Vanguard — AI ‘expert’ exposed https://www.vanguardngr.com/2026/03/ai-expert-exposed-fake-kremlin-linked-analyst-planted-stories-in-african-media/ Africa Confidential — How Moscow wages social media war https://www.africa-confidential.com/article/id/15961/how-moscow-wages-social-media-war Keywords #DISINFORMED #Episode15 #Nigeria #Russia #RussianInfluence #RussianDisinformation #Africa #WestAfrica #Disinformation #InformationWarfare #InfluenceOperations #ForeignInterference #FIMI #Propaganda #MilitaryRule #MilitaryGovernment #Democracy #PoliticalManipulation #NarrativeManipulation #AfricanInitiative #EndBadGovernance #Hausa #LocalInfluencers #GhostReporters #FakeExperts #ArtificialIntelligence #AI #AIPersonas #SyntheticMedia #AIPropaganda #Astroturfing #SocialMediaManipulation #Telegram #TikTok #DigitalInfluence #SourceLaundering #NarrativeLaundering #MediaManipulation #Sahel #Geopolitics #OSINT #WRLD

Africa Daily Report — 6 October 2026 Major developments reported during the previous 24 hours. 1. Ethiopia — Airstrikes and artillery continue after federal forces retake Mekelle Airstrikes and artillery fire continued across northern Ethiopia after federal forces regained Mekelle. Reuters reported at least 17 deaths northwest of the Tigrayan capital, with additional casualties reported in Adwa and Sheraro. The renewed fighting is the sharpest escalation since the 2020–2022 war. Ethiopia accuses Eritrea, Sudan and Egypt of supporting the Tigrayan-led rebel alliance; all three deny involvement. Source: https://www.reuters.com/world/africa/airstrikes-artillery-hit-north-ethiopia-after-tigray-capitals-fall-aid-sources-2026-10-05/ 2. Nigeria — Military ATR-42 crashes in Ondo State, killing all 32 aboard Importance: 10/10 — Critical A Nigerian Air Force ATR-42 flying from Benin City toward Lagos crashed near Igbokoda in Ondo State. Reuters reported that all 32 people aboard — 25 passengers and seven crew — were killed. President Bola Tinubu ordered the Air Force to investigate the cause. Source: https://www.reuters.com/world/africa/nigerian-military-helicopter-carrying-32-passengers-crew-members-crashes-2026-10-05/ 3. Senegal — Deadly floods hit Dakar and other regions Importance: 9/10 — Very High Heavy rainfall exceeding 100 mm in several locations caused flooding, casualties, injuries and major disruption in Dakar and other parts of Senegal. Reuters reported deaths and infrastructure damage; Senegal's Interior Ministry confirmed fatalities and injuries, while the government activated an emergency regional plan for Dakar. Further rain was forecast. Source: https://www.reuters.com/business/environment/heavy-rains-lead-to-senegal-floods-government-reports-several-deaths-2026-10-05/ 4. Ethiopia / Red Sea — Abiy reiterates demand for negotiated sea access Prime Minister Abiy Ahmed again said landlocked Ethiopia requires access to the Red Sea and argued that a negotiated, mutually beneficial arrangement is necessary. The statement comes amid deteriorating relations with Eritrea and renewed fighting in Tigray. Eritrea, Egypt, Sudan and Somalia have meanwhile stressed the sovereign role of Red Sea littoral states. Source: https://apnews.com/article/bad74909a59297de524fdf377f0605c2 5. Sudan — US envoy meets army chief Abdel Fattah al-Burhan in Egypt US Senior Advisor for Arab and African Affairs Massad Boulos met Sudanese army chief Abdel Fattah al-Burhan in Egypt. Boulos said Washington would continue working with Egypt and other partners toward a political solution to Sudan's war. The meeting came amid continuing US-backed diplomatic efforts to secure a ceasefire. Source: https://www.aol.com/articles/us-envoy-meets-sudanese-army-224042000.html 6. South Africa — Private-sector contraction deepens in September Importance: 8/10 — High South Africa's private sector contracted at its fastest pace since December, according to September PMI data reported by Reuters. New orders fell sharply while supply-chain disruption and higher costs, particularly fuel costs, added pressure on businesses. Source: https://www.reuters.com/world/africa/south-africa-private-sector-contracts-fastest-pace-since-december-pmi-shows-2026-10-05/ 7. Somalia — IMF cuts 2026 growth forecast to 2.3% Importance: 8/10 — High The IMF expects Somalia's economy to grow by only 2.3% in 2026, citing sharp reductions in foreign aid, recurrent climate shocks, spillovers from the Middle East conflict and domestic uncertainty. Inflation is projected at 6.5%, while growth is expected to recover gradually in 2027 and over the medium term. Source: https://www.channelafrica.co.za/channelafrica/news/imf-cuts-somalias-2026-growth-forecast-to-2-3/ 8. Guinea — Opposition leader Aliou Bah released following presidential pardon Opposition leader Aliou Bah, head of the Liberal Democratic Movement, was released after receiving a presidential pardon. He had been detained since December 2024 and was serving a two-year sentence for offences linked to remarks about President Mamadi Doumbouya. His case had also reached the ECOWAS Court of Justice, which had sought his release. Source: https://www.africanews.com/2026/10/05/guinea-opposition-leader-aliou-bah-freed-after-presidential-pardon/ 9. Uganda / African security — Kampala hosts conference on emerging security threats Importance: 7/10 — High Uganda opened a four-day Conference on Military Operations Other Than War, bringing together defence and security representatives from African states and regional organizations. The agenda covers cybersecurity, AI, unmanned systems, terrorism, disaster response, climate security, maritime and border security, critical infrastructure and pandemics. Source: https://ubc.go.ug/2026/10/05/uganda-hosts-inaugural-conference-on-military-operations-other-than-war/ 10. West Africa — BCEAO authorises 175 institutions for interoperable instant payments Importance: 8/10 — High The Central Bank of West African States has authorised 175 institutions to participate in the region's interoperable instant-payment ecosystem. Participants include banks, electronic-money institutions, fintech companies and microfinance institutions, broadening the infrastructure for cross-provider digital payments across the West African Monetary Union. Source: https://techafricanews.com/2026/10/05/bceao-authorises-175-institutions-interoperable-instant-payments/ #Africa #AfricaNews #TopNewsOfAfrica #Senegal #Dakar #SenegalFloods #Floods #HeavyRain #ExtremeWeather #ClimateRisk #HumanitarianCrisis #SouthAfrica #SouthAfricaEconomy #PMI #PrivateSector #EconomicContraction #AfricanEconomy #Business #Ethiopia #Tigray #Mekelle #EthiopiaConflict #Airstrikes #Artillery #FederalForces #RegionalSecurity #HornOfAfrica #AfricanSecurity #Geopolitics #wrldorg

Disinformation for hire – the network of 70 fake newsrooms sold as a service The websites looked local. Naija Pulse appeared to cover Nigeria, Echo Berlin Germany, The British Daily Britain, Fifty States the United States and Commonwealth Post Australia. Each had its own branding, articles, supposed journalists and matching social-media presence. Taken individually, they resembled small independent news outlets. According to Anthropic, however, they were parts of a single commercial influence network spanning six continents. Anthropic’s September 2026 threat report identifies the operation as GTG-54002, a commercial “influence-as-a-service” network that used Claude to generate and rewrite political content at industrial scale. Investigators linked roughly 70 fabricated news websites to around 70 matching X accounts and more than 250 additional inauthentic commenting accounts designed to create the appearance of genuine public engagement. The network produced at least 8,913 articles in about 20 languages before Anthropic disrupted the activity. The significance of the case is not simply the number of fake sites. It is the business model. The network did not consistently promote one government, party or ideology. Anthropic found that its political position changed according to the apparent interests of different customers. The company therefore described it as a commercial influence operation: political manipulation offered in much the same way as other outsourced digital services. A fake media ecosystem built at scale Anthropic says the infrastructure was created rapidly. Domains were registered from France during a roughly ten-week period in mid-2025 and deployed through shared technical infrastructure, allowing investigators to connect publications that outwardly appeared unrelated. Most of the supporting social-media accounts were also created within a narrow timeframe in June and July 2025. The sites were designed to look like functioning local newsrooms rather than anonymous propaganda pages. Articles carried fabricated bylines belonging to journalists who, according to Anthropic, did not exist. Each outlet had a corresponding account on X, while a second layer of fake profiles commented on and amplified the articles. Many of those accounts used AI-generated profile photographs. The result was a three-tier structure: the newsroom published the story, the branded social account distributed it, and apparently ordinary users supplied the appearance of public reaction. Some of those sites remained publicly visible after the operation was exposed. The British Daily, for example, described itself as providing “conservative insights” on British sovereignty and migration, while Commonwealth Post presented itself as an Australian liberal publication focused on democracy, migration and regional security. Those contrasting editorial identities illustrate the central feature identified by Anthropic: the network was capable of taking different political positions in different markets. Claude as a publishing engine Claude was not simply asked to draft occasional articles. The operators built a structured production pipeline around it. Prompts required fixed JSON outputs, formatted HTML, precise character limits and internal links, allowing articles to move directly into an automated publishing workflow. The system could generate entirely new material or take reporting produced by legitimate journalists and rewrite it to fit a desired political perspective. Anthropic identified three recurring techniques. The same source article could be rewritten in opposite ideological directions for different audiences; a political interpretation could be added to a story that originally contained none; and material could be moved from one country to another after its original context had been removed. The articles were also structured to improve the apparent authority of the sites in search engines, helping the network imitate ordinary digital publishing practices rather than simply broadcasting propaganda. This is where generative AI changes the economics of an influence operation. A conventional network of dozens of supposedly local publications would normally require writers, translators, editors and social-media staff. Here, much of that production could be standardised and automated while human operators concentrated on political direction, customer requirements and distribution. The DRC–Rwanda conflict as a test case The clearest concentration of activity involved the Democratic Republic of Congo. Anthropic identified 318 articles concerning the DRC across the fake-news network. The material generally supported positions aligned with the Congolese government, particularly on regional mineral agreements and tensions with Rwanda. Early in the network’s growth, many of the fake social-media personas following and amplifying its accounts also presented themselves as Congolese. Investigators observed one especially revealing episode on 11 September 2025, when multiple sites published almost identical articles about the DRC–Rwanda conflict within approximately three minutes of one another. The wording and political tone were adjusted for different regional audiences, while associated X accounts distributed the links in a coordinated pattern. Anthropic said the activity contained signals suggesting that one or more customers had interests connected to the DRC–Rwanda conflict. It did not, however, identify those customers and explicitly stated that it found no evidence that any government had directed the operation. That distinction is essential. The content may have benefited a political actor without demonstrating that the actor commissioned or controlled it. Influence without ideology Commercialisation is what distinguishes GTG-54002 from many state-linked information operations. A government propaganda network usually has an identifiable strategic direction. A commercial influence provider does not need one. Its infrastructure can support one position in one country and the opposite position somewhere else, provided different customers are willing to pay. That makes attribution more difficult. Analysts cannot necessarily infer the operator from the ideology of the content because ideology may simply be part of the service package. The enduring asset is the infrastructure: domains, publishing systems, fake journalists, social-media accounts and automated amplification. Anthropic says the operation was disrupted before it achieved significant genuine reach. It classified GTG-54002 as Category Two on the Brookings Breakout Scale: material circulated across the network’s own sites and associated social accounts but showed no evidence of substantial penetration into authentic communities. Most of the 8,913 articles generated little observable engagement from real users. That limited impact is important. The case should not be presented as a successful global manipulation campaign. It is better understood as evidence that the infrastructure required to run such campaigns has become cheaper, faster and increasingly commoditised. The deeper shift is that a fake media ecosystem no longer has to be built around a single political cause. It can be built once, automated and then repurposed for the next customer. Disinformation, in this model, is no longer only a political instrument as it turend into the service. Sources: Anthropic — Countering misuse of AI: September 2026 https://www.anthropic.com/threat-intelligence-report-september-2026 Business Standard — AI scaling fake newsrooms, surveillance and online scams https://www.business-standard.com/technology/tech-news/anthropic-report-ai-fake-newsrooms-dating-surveillance-scams-126091100730_1.html Mimikama — KI baut 70 erfundene Nachrichtenportale https://www.mimikama.org/ki-netzwerk-erfundene-nachrichtenportale-echo-berlin/ Poliscoop Media — Anthropic exposes DRC propaganda network https://www.poliscoopmedia.com/articles/anthropic-exposes-drc-propaganda-network-20260911 The British Daily — example of a fabricated outlet identified in the network https://www.british-daily.com/contact Commonwealth Post — example of a fabricated outlet identified in the network https://commonwealth-post.com/category/science MalPulse — infrastructure references for network domains https://www.malpulse.com/infra-pivots/usom-pivots/list/?page=1105 Keywords: #DISINFORMED #Episode13 #DisinformationAsAService #InfluenceAsAService #FakeNewsrooms #FakeMedia #SyntheticMedia #ArtificialIntelligence #AI #GenerativeAI #ClaudeAI #Anthropic #Disinformation #InfluenceOperations #InformationWarfare #FIMI #CommercialInfluence #PoliticalManipulation #NarrativeManipulation #NarrativeLaundering #SourceLaundering #MediaImpersonation #FakeJournalists #SyntheticPersonas #Astroturfing #SocialMediaManipulation #CoordinatedInauthenticBehaviour #CIB #DigitalInfluence #AutomatedPropaganda #ContentAutomation #AIPropaganda #LKMCompany #NaijaPulse #AxumVoices #JamboJournal #EchoBerlin #TheBritishDaily #FiftyStates #CommonwealthPost #DRC #Rwanda #OSINT #WRLD

IRAN: MEK/NCRI – when AI impersonated a real activist in live conversations For years, synthetic media has largely meant fabricated images, cloned voices and manipulated video. A case uncovered by Anthropic in September 2026 suggests a more consequential development: artificial intelligence being used not merely to imitate how a person looks or sounds, but to behave as that person in an ongoing conversation. Anthropic says it dismantled a distributed influence operation targeting Iranians inside the country and abroad that it linked to the People’s Mojahedin Organization of Iran, or PMOI/MEK, and its political front, the National Council of Resistance of Iran. The operators used a shared AI-agent platform to support impersonation, audience profiling, coordinated social-media activity, synthetic personas and the laundering of organisational content through apparently independent accounts. At least four people involved in the operation worked for official NCRI media outlets, according to Anthropic. The company also found references to committee approval processes and MEK leadership, but said it could not independently determine the precise level of central control. Cloning a person from 8,400 Telegram posts The most striking part of the operation involved a real activist whose Telegram identity was copied. According to Anthropic, the operators instructed Claude in Persian that it was now that person, then provided approximately 8,400 of the activist’s Telegram posts so the system could learn and reproduce his writing style. The AI-assisted account was subsequently used to conduct live political conversations with the activist’s existing contacts. Anthropic says that, to its knowledge, the people receiving those messages did not know they were interacting with an account being operated with AI assistance. This is materially different from a conventional chatbot or a static deepfake. The system was not simply producing a forged statement attributed to someone else. It was using a large archive of that person’s authentic language as behavioural training material, then applying the resulting imitation interactively. In practical terms, the deception moved from synthetic content to synthetic identity. Anthropic did not publish the identity of the impersonated activist, nor details of his contacts, and the public report does not establish what specific information the conversations produced. What it does establish is that the impersonation was operational rather than experimental: the cloned account was used in real exchanges with real people. From social-media monitoring to psychographic dossiers The impersonation sat inside a much broader targeting system. Anthropic says the network scraped more than 500 social-media channels and categorised individuals by location, age, profession, political orientation and arrest history. It then analysed approximately 51,944 archived messages from conversations to construct detailed psychographic dossiers on dozens of people inside Iran. The system was therefore not limited to broadcasting propaganda. It was also designed to understand specific audiences and individuals. Profiles could be used to decide what kind of message was most likely to resonate with a particular person, which political identity they appeared closest to and how they should be approached. Anthropic describes this as a structured targeting funnel rather than ad hoc social-media activity. That distinction is important in the Iranian context. Political activists, dissidents and opposition contacts inside Iran can face arrest and severe punishment. The report does not show that the dossiers directly led to arrests or other harm, but collecting and organising information such as arrest history and political affiliation adds a surveillance dimension to what would otherwise be described as an influence operation. A shared AI system for an influence network Anthropic found that the actors used a shared Claude-based platform named “Viktor”, with separate workspaces and persistent memory. Those memory files contained approved sources, prohibited words, account-management instructions and methods intended to reduce the risk of detection. One operator loaded MEK founding doctrine into the system as what the report called “strategic base data”, allowing others to reuse it across their work. This persistent-memory structure meant the AI did not have to be briefed from scratch for every task. Once doctrine, stylistic rules and operational constraints had been stored, the system could repeatedly produce material consistent with the network’s objectives. Anthropic says the same general playbook appeared across different workspaces despite the operators not sharing obvious account infrastructure. The network also used automated pipelines to coordinate Instagram posting schedules and tailor messages to different audiences. Some accounts initially avoided mentioning the Mojahedin at all, allowing material aligned with MEK/NCRI narratives to appear as neutral or independent political commentary. Content was distributed through the organisation’s own media ecosystem as well as accounts presented as ordinary news or activist profiles. Anthropic assessed the campaign as Category Two on its Breakout Scale: active on multiple platforms with distribution through NCRI-linked media properties and amplifier accounts, but without evidence of broad authentic penetration. Synthetic citizens and disguised organisational media The same infrastructure generated AI avatars presented as ordinary Iranians, complete with Persian audio, to promote Maryam Rajavi’s political programme. Anthropic says the synthetic nature of these personas was intentionally concealed. Operators also rewrote and redistributed content originating from MEK-affiliated media while stripping identifying features or presenting it through apparently independent accounts. The network’s political messaging targeted the Iranian government but also rival opposition currents, including monarchists and supporters of the Pahlavi camp. Anthropic documented fabricated video material attacking a member of the Pahlavi family and the use of the slogan “Neither Shah Nor Sheikh”, consistent with the NCRI’s broader competition with other opposition movements. That rivalry provides relevant context. Reuters describes the MEK as one of Iran’s principal organised opposition movements in exile and the dominant force behind the NCRI, led by Maryam Rajavi. Its relationship with other opposition currents is often contentious, while the extent of its support inside Iran remains uncertain. What can be attributed – and what cannot Anthropic’s attribution is unusually specific but still needs to be stated carefully. The company says its investigation linked the operation to MEK/NCRI and established that at least four participants worked for official NCRI media organisations. It also found a common operational playbook, committee review structures and repeated references to MEK leadership. On that basis, Anthropic said central tasking was likely. It nevertheless stopped short of saying it had proven that NCRI’s senior leadership directly ordered or managed every component of the operation. That caveat matters. The strongest public evidence supports describing GTG-84006 as a MEK/NCRI-aligned influence operation involving personnel from official NCRI media, rather than asserting that every action was directly commanded by the organisation’s top leadership. The broader significance of the case lies elsewhere. Earlier generations of synthetic media attempted to fabricate evidence: a photograph, a voice recording or a video. Here, AI was used to maintain an identity over time, remember doctrine, analyse targets and speak directly to real people while appearing to be someone they already trusted. The deepfake was no longer merely an artefact. It had become a participant in the conversation. Sources Anthropic — Countering misuse of AI: September 2026 https://www.anthropic.com/threat-intelligence-report-september-2026 AI Misuse Case Library — GTG-84006 activist impersonation case https://www.misuseofai.com/en/cases/gtg-84006-activist-impersonation/ Reuters — Who makes up Iran’s fragmented opposition? https://www.reuters.com/business/media-telecom/who-makes-up-irans-fragmented-opposition-2025-06-18/ Reuters — Iran’s divided opposition senses its moment https://www.reuters.com/world/middle-east/irans-divided-opposition-senses-its-moment-activists-remain-wary-protests-2025-06-19/ Reuters — NCRI and Maryam Rajavi https://www.reuters.com/world/middle-east/dissident-leader-abroad-urges-iranians-bring-down-khamenei-2025-06-24/ Keywords #DISINFORMED #Episode12 #Iran #MEK #PMOI #NCRI #IranianOpposition #Disinformation #InfluenceOperations #InformationWarfare #ArtificialIntelligence #AI #GenerativeAI #ClaudeAI #Anthropic #AIDeception #AIImpersonation #IdentityImpersonation #SyntheticIdentity #InteractiveDeepfake #DigitalImpersonation #PersonaCloning #BehaviouralCloning #Telegram #PsychographicProfiling #TargetProfiling #AudienceTargeting #SocialMediaManipulation #Astroturfing #SyntheticPersonas #NarrativeLaundering #CoordinatedInfluence #PoliticalInfluence #DigitalInfluence #OppositionPolitics #IranPolitics #OSINT #WRLD

Canada is a maritime nation. Our food, our trade, and our way of life depend on it. In Vancouver, we have just announced an investment of 1.2 billion dollars aimed at protecting our oceans and the ecosystems they host. https://t.co/wFelEY3Gzx #Canada #Oceans #Environnement (translated)

Manchester City a été reconnu coupable de 114 infractions financières par la Premier League, suscitant des appels à des sanctions allant de la destitution de trophées à un retrait de points, ce qui pourrait remodeler l'écosystème du football anglais. #ManchesterCity #PremierLeague #InfractionsFinancières

Full-Life Technologies inaugurera un site unique de médecine nucléaire à Gembloux, en Belgique, le 24 novembre, pour produire des radioisotopes ciblant spécifiquement les cellules cancéreuses, dans le cadre d'une initiative visant à renforcer l'écosystème belge en médecine nucléaire. #MédecineNucléaire #LutteContreLeCancer #Belgique

Fake NV – how a cloned newsroom turned an AI video into a $140 million corruption scandal For two days in September, a website that looked almost indistinguishable from one of Ukraine’s best-known news organisations carried an extraordinary corruption story. It claimed that Ukraine’s National Anti-Corruption Bureau had raided former defence procurement chief Arsen Zhumadilov and discovered more than $140 million in cash packed inside refrigerator boxes. One box supposedly carried the words “For the Servant of the People” – an apparent reference to President Volodymyr Zelenskyy’s political party. The raid never happened. The photographs and video presented as evidence were fabricated, and the news organisation reporting the story was not the New Voice of Ukraine but a cloned version of it. The episode is a compact example of an increasingly effective disinformation technique. Rather than inventing a new propaganda outlet and trying to build its credibility from scratch, an operator can simply steal the identity of an established newsroom and place fabricated material inside an otherwise convincing copy of its editorial environment. A newsroom copied almost in full The counterfeit site appeared at nvukraine.com, while the authentic New Voice of Ukraine operates at nv.ua and english.nv.ua. Registration records examined by fact-checkers show that the false domain was created on 21 September 2026, two days before the fabricated article appeared. According to NV’s own investigation, the imitation went much further than copying a logo: the operators reproduced the site’s visual design, sections, branding, contact information and genuine editorial material. A snapshot of legitimate NV content from 23 September appears to have been copied onto the counterfeit site, into which the operators inserted a single false article. That article claimed that NABU had searched premises connected to Zhumadilov, who had headed Ukraine’s Defence Procurement Agency until August, and seized $140 million in cash. The story was published in several languages, including Ukrainian and English, suggesting that the operation was intended not only for Ukraine’s domestic information space but also for foreign audiences following the war and Western support for Kyiv. AI supplied the supposed evidence The false article was supported by a video purportedly showing the money discovered during the raid. NABU said no such search or procedural action had taken place and identified the footage as fabricated using artificial intelligence. Independent fact-checker Lead Stories found no credible Ukrainian or international reporting confirming either the raid or the alleged seizure, while searches of NABU’s own published material produced no evidence supporting the claim. The operation therefore combined two separate forms of synthetic credibility. The AI-generated footage supplied what looked like visual proof, while the cloned NV website supplied institutional proof: an apparently reputable Ukrainian newsroom supposedly confirming that the event had happened. Neither element needed to withstand close scrutiny for long. Together, they only needed to appear credible enough to be copied, quoted and redistributed before the deception was exposed. From a fake Ukrainian source into the Russian information ecosystem On 24 September, the story began moving through large pro-Russian Telegram channels. Ukraine’s Center for Strategic Communications traced early amplification to Golos Mordora, with roughly 149,000 subscribers, and Militarist, with around 277,000. Within less than an hour, other channels including VOBLA, Rossiya Seychas and Ostashko! Vazhnoye were circulating versions of the same claim. It subsequently appeared on X and on Russian-language websites including e-news.su and pressa24.ru. Babel calculated that posts carrying the fabrication had accumulated approximately 370,000 views by the morning of 25 September. The story also moved beyond the Russian-language ecosystem. English-language versions appeared in online communities including Lemmy and Hexbear, while accounts on X shared direct links to the counterfeit NV article. NV later reported that larger Russian media and propaganda outlets, including RIA Novosti, Life, Vesti, Ukraina.ru and Mail.ru, had reproduced or discussed the claim. Kirill Dmitriev, head of the Russian Direct Investment Fund and a Kremlin representative involved in contacts with the United States, also shared it on 25 September. This amplification is significant, but it should not be confused with proof of authorship. Publicly available evidence shows how the false story entered and spread through a Russian and pro-Russian information ecosystem. It does not establish which organisation registered the cloned domain, generated the video or directed the operation from the outset. Why copy NV? The operation relied on source laundering. A claim originating directly from a Russian Telegram channel that Ukraine’s defence procurement system had concealed $140 million would immediately carry an obvious political context. A claim apparently uncovered by an established Ukrainian newsroom looks very different. Once the fabricated NV article existed, subsequent accounts could cite what appeared to be an independent Ukrainian source rather than present the allegation as their own. Each repost moved the story another step away from its manufactured origin. The use of an English-language version strengthened that mechanism for audiences outside Ukraine. The underlying narrative was also carefully chosen. Corruption in Ukrainian defence procurement is a genuine subject of public scrutiny and investigative reporting, so the fabricated story did not require audiences to accept an entirely unfamiliar premise. It inserted a false event into a real area of political concern. That mixture of authentic context and fabricated evidence can be more persuasive than a completely invented story because much of the surrounding information feels recognisable. What can – and cannot – be attributed Ukrainian authorities and NV describe the episode as a Russian information operation, and its distribution can be documented extensively across pro-Russian and Russian media channels. The available public evidence, however, does not identify the organisation that created the counterfeit website, nor does it link the operation forensically to a named Russian intelligence service, military unit or state contractor. The most precise description is therefore a Russian-aligned disinformation operation whose fabricated material was systematically amplified through the Russian information ecosystem. That distinction matters. Distribution can be observed directly; command-and-control is harder to establish and should not be inferred without evidence. The newsroom itself becomes the deepfake The most important feature of the operation was not the $140 million figure or even the AI-generated video. It was the counterfeit newsroom surrounding them. The operators copied a real publication, populated it largely with genuine material and inserted a single false story, allowing the fabrication to borrow the accumulated credibility of journalists who had nothing to do with it. This points to a broader evolution in synthetic media. AI can fabricate an image, a voice or a video, but an influence operation can now fabricate something larger: the source that supposedly verified the evidence. In the Fake NV operation, the article, the video and the website reinforced one another, creating not simply a false story but a manufactured chain of credibility. Sources The New Voice of Ukraine — investigation into the cloned website https://english.nv.ua/nation/nv-discovers-fake-copy-of-website-with-planted-story-cites-russian-links-50644601.html The New Voice of Ukraine — Russian amplification of the $140 million fabrication https://english.nv.ua/russia-spreads-fake-140-million-ukraine-corruption-story-during-dmitriev-u-s-talks-50644647.html Lead Stories — independent fact-check https://leadstories.com/hoax-alert/2026/09/fact-check-fake-story-claims-140-million-found-at-home-of-ukraines-zhumadilov-marked-servant-of-the-people-nv-website-originated-it.html Babel — AI video and distribution analysis https://babel.ua/en/news/130469-a-video-is-sharing-online-about-140-million-found-in-the-possession-of-the-ex-head-of-the-defense-procurement-agency-this-is-an-ai-video-distributed-by-a-clone-of-ukrainian-media Center for Strategic Communications and Information Security — initial debunk https://spravdi.org/en/ai-fake-about-140-million-amid-us-talks-how-russians-impose-the-image-of-corrupt-ukraine-on-the-west/ Center for Strategic Communications and Information Security — NABU confirmation https://spravdi.org/u-merezhi-poshyryuyut-shi-fejk-pro-nibyto-obshuky-nabu-v-eksgolovy-agencziyi-oboronnyh-zakupivel/ Detector Media — distribution and NABU response https://detector.media/infospace/article/252806/2026-09-25-u-merezhi-pidrobyly-sayt-nv-dlya-poshyrennya-feyku-pro-obshuky-v-eksochilnyka-agentsii-oboronnykh-zakupivel/ Keywords #DISINFORMED #Episode10 #FakeNV #NewVoiceOfUkraine #Ukraine #Russia #RussianDisinformation #RussianInfluence #Disinformation #InformationWarfare #InfluenceOperations #ForeignInterference #FIMI #MediaImpersonation #ClonedMedia #FakeMedia #FakeNews #ArtificialIntelligence #AI #AIGeneratedContent #SyntheticMedia #AIVideo #SourceLaundering #NarrativeLaundering #CorruptionNarrative #UkraineCorruption #DefenceProcurement #NABU #ArsenZhumadilov #Telegram #SocialMediaManipulation #DigitalInfluence #Propaganda #OSINT #MediaManipulation #WRLD

Après avoir interrompu 15 de ses réacteurs nucléaires cet été en raison de la canicule, EDF souhaite modifier les normes de température des fleuves pour s'adapter au réchauffement climatique et limiter l'impact sur les écosystèmes aquatiques. #Energie #Nucléaire #RéchauffementClimatique

TF1 entre dans l’esport avec @TeamVitality 🇫🇷 TF1 Business Solutions intègre Team Vitality à son portefeuille de licences. Le club bénéficie donc de l’accès à l’écosystème commercial de TF1 et à son portefeuille d’annonceurs, avec la possibilité de construire de nouvelles activations autour de sa marque et de son audience. Un modèle intéressant pour Vitality 👇 Plutôt que de vendre uniquement des droits de sponsoring, le club peut aussi être valorisé comme une véritable licence auprès de marques souhaitant investir dans l’univers du gaming. Il y a déjà eu un premier dispositif déjà activé pour BYD via TF1 Factory. C’est donc une étape de plus pour le club pour se rapprocher de marques non endémique, et d’être toujours plus grand public. #esport #gaming #TeamVitality

President @vonderleyen has announced an increase of almost €100 million in EU support for ocean observation. #HorizonEU is helping turn this ambition into action: backing the science we need to predict climate impacts, protect marine ecosystems and support coastal communities. https://t.co/Yol9Bw5cnZ #OceanObservation #ClimateAction #MarineEcosystems #EU

Today, at #UNGA81 we have witnessed the international community’s dedication and commitment to global ocean observation: for healthier ecosystems, safer navigation, resilient supply chains, a stronger offshore economy and maritime security. More than 30 countries have joined the https://t.co/8wGzx7WSI2 #OceanObservation #SustainableDevelopment #MaritimeSecurity #Thetweetdoesnotmentionanyspecificcountriesbyname #sotherearenocountrycodestoreturn.

Russia’s fake African newsrooms – propaganda designed to look local A Facebook user in Nairobi, Accra, Johannesburg or Luanda encounters what appears to be a local news page. It publishes stories about African politics, Western influence and relations with Russia. The language is tailored to an African audience and the page presents itself not as a foreign broadcaster, but as part of the local information landscape. Behind some of these outlets, however, Meta found operators based in Russia. In its 2026 threat research, the company disclosed a Coordinated Inauthentic Behaviour network targeting audiences in Angola, Ghana, Kenya and South Africa. Meta removed 37 Facebook accounts and 29 Pages connected to the operation. Around 30,000 users followed at least one of the Pages, while the operators spent approximately $7,000 on Facebook and Instagram advertising, mostly in euros and US dollars. The numbers are relatively modest. The method is considerably more important. Rather than openly distributing Russian state messaging, the network posed as local African news sources and grassroots organisations, promoting narratives about Western colonialism and political interference while presenting Russia as a credible economic and political alternative. It was an old geopolitical message delivered through a much more effective identity: not Moscow speaking to Africa, but Africans apparently speaking to one another. A news outlet that was actually an influence operation Meta's investigation found that the network attempted to conceal its Russian origin while creating media brands that appeared indigenous to the countries they targeted. Its content amplified historical grievances against former colonial powers, criticised Western involvement in Africa and promoted closer relations with Russia. One example helps illustrate how the infrastructure was assembled. A Facebook Page targeting Kenya was called Kenya Watchtower. According to OpenAI's subsequent investigation, Facebook transparency records showed that the Page had previously been named “Farmtown5”. It appears to have been acquired or repurposed rather than built from scratch as a Kenyan news organisation. Some Pages also exposed administrator locations in Russia and Ukraine. Other elements of the network had previously targeted audiences in Zambia and Namibia. This use of apparently local identities is particularly important in the African information environment. A story published by RT or another identifiable Russian outlet arrives with an obvious geopolitical provenance. The same narrative presented by something resembling an independent Kenyan, Ghanaian or South African newsroom carries a different kind of credibility. The source appears closer to the reader, and the geopolitical interest behind the message becomes less visible. Then investigators found Dr Manuel Godsin The Facebook operation was only one part of a broader information ecosystem. OpenAI investigated related activity after receiving information from Meta and subsequently banned a ChatGPT account it assessed as likely originating in Russia. OpenAI called the campaign Operation No Bell. The account was being used to generate long-form articles and social-media posts about African geopolitics. Prompts were primarily written in English, but OpenAI also observed Russian-language instructions that the user described as coming from a manager. The operator sometimes explicitly asked the model to make the material appear less AI-generated – including requests to avoid stylistic features associated with machine-generated text and to write more like a human journalist. Many articles appeared under the name “Dr Manuel Godsin”, presented as an academic with a PhD from the University of Bergen and an affiliation with an organisation called the International Centre for Political and Strategic Studies. OpenAI could find no credible evidence that Godsin existed. Searches of Norway's National Research Information Repository and the University of Bergen library produced no record of him. Investigators subsequently discovered that a photograph used to represent Godsin had appeared years earlier on a Russian professional networking site and apparently belonged to a law student in St Petersburg. The fabricated academic identity was nevertheless remarkably productive. OpenAI identified 53 online articles carrying the Godsin byline. The fiction had moved beyond fake social-media pages and into the real media ecosystem. When propaganda enters genuine newsrooms This is the most consequential aspect of the operation. The articles were not confined to websites controlled by the influence network. Some were published by genuine African news organisations, including established South African outlets. The content mixed local political issues with broader geopolitical narratives. Some pieces criticised the United States and Britain or defended Russia's role in Africa. One accused the British NGO Crisis Action of fomenting protests in South Africa. Another praised Russia's presence in the Central African Republic. Other material addressed Kenya, Angola and relations between African governments and Washington. The mechanism represents a significant evolution from the classic troll-farm model. Instead of building an audience entirely on its own platforms, an influence operator can manufacture an apparently credible expert, generate articles in his name and persuade genuine news organisations to publish them. Once this happens, the propaganda acquires something a fake Facebook Page cannot provide: the institutional credibility of a real newsroom. OpenAI assessed No Bell's social-media impact as limited. One Facebook Page had around 3,000 followers before Meta removed it, while several others had very small audiences. But the operation was more successful in placing material in established media. In OpenAI's impact framework, it approached the level at which an influence operation breaks into mainstream media. For information operators, a single article published by a recognised outlet can potentially be more valuable than thousands of impressions generated by an obviously artificial account. A much larger network of ghost journalists Subsequent research suggests that Manuel Godsin was not an isolated experiment. In August 2026, Graphika, working with Code for Africa and with support from Meta, published a much broader investigation into Russian ghostwriting operations across African media. Researchers identified 44 ghost writers and fake experts, 38 of them assessed as high-confidence fabricated personas, operating between 2021 and 2026. Their material appeared or was quoted across 138 websites and was subsequently republished through at least 113 Facebook accounts and Pages, including authentic users, coordinated inauthentic networks and official Russian communication channels. The narratives were strikingly consistent. They included criticism of France, Ukraine and the United States; attacks on organisations such as ECOWAS and the International Criminal Court; positive portrayals of Russian involvement in Africa; praise for Russian paramilitary forces; and support for sovereignty-oriented political projects such as the Alliance of Sahel States. The operation therefore extends beyond creating fake news websites. It attempts to insert Russian-aligned narratives into the legitimate African media ecosystem using identities that appear African, independent or academically authoritative. This also explains why measuring reach through the original Facebook network alone is misleading. A fabricated article may begin with an influence operator, appear in a genuine African publication, be republished elsewhere and eventually circulate without any visible connection to Russia. At that point, the provenance of the narrative has effectively been laundered. An old Russian strategy with increasingly local faces Russia's use of local intermediaries in Africa is not new. Meta documented Russian networks using African nationals as early as 2019. In 2020 it dismantled another operation involving people in Ghana and Nigeria working on behalf of individuals in Russia, with links to previous activity associated with the Internet Research Agency. More recent Meta investigations suggest that this model has continued to evolve. Networks have increasingly relied on local freelancers, social-media managers and authentic media outlets rather than exclusively operating armies of obviously fake Russian-controlled accounts. This decentralisation offers several advantages. Local operators understand language, political sensitivities and cultural references. Authentic accounts are harder to identify than newly created synthetic personas. Local media brands can also deliver narratives without immediately triggering the scepticism associated with Russian state outlets. There is no evidence that every African journalist, freelancer or publication carrying such material knowingly participates in Russian influence activity. Meta explicitly notes in its investigations that some local contractors may not know who ultimately commissioned their work. That distinction is essential. The operation's effectiveness partly depends on precisely this ambiguity between deliberate participation, commercial content placement and unwitting amplification. The objective is to make Russian narratives look African The significance of this network is therefore not its 30,000 Facebook followers or its $7,000 advertising budget. Those figures are small compared with the audiences of major African media organisations. What matters is the distribution model. Traditional foreign propaganda asks an audience to trust a foreign source. These operations attempt to remove the foreign source from the equation altogether. A Russian geopolitical narrative can be generated with AI, attributed to an expert who does not exist, published by a media organisation that does, amplified through a Facebook Page presenting itself as local, and then rediscovered elsewhere as apparently independent African analysis. By the time the reader encounters it, Moscow may have disappeared completely from the chain of attribution. The resulting information operation is therefore less about making Russian propaganda more persuasive than about making it look as though it is no longer Russian propaganda at all. In an increasingly fragmented African media environment, that may be the more important evolution to watch. SOURCES: Meta Threat Research https://threatresearch-team.github.io/indicators/meta-h1-2026-russia-based-cib-network-1/ OpenAI — Operation “No Bell” https://openai.com/index/disrupting-malicious-uses-of-ai-no-bell/ Graphika — Umbrae Ex Machina https://www.graphika.com/reports/umbrae-ex-machina News24 https://www.news24.com/southafrica/news/ai-expert-exposed-fake-kremlin-linked-analyst-planted-stories-in-african-media-20260318-0560 Vanguard https://www.vanguardngr.com/2026/03/ai-expert-exposed-fake-kremlin-linked-analyst-planted-stories-in-african-media/ Meta — Russian Coordinated Inauthentic Behaviour, 2019 https://about.fb.com/news/2019/10/removing-more-coordinated-inauthentic-behavior-from-russia/ Meta — Russian Coordinated Inauthentic Behaviour, 2020 https://about.fb.com/news/2020/03/removing-coordinated-inauthentic-behavior-from-russia/ Meta Threat Research — Russian Use of Authentic Operators in Sub-Saharan Africa https://threatresearch-team.github.io/indicators/meta-h2-2025-russia-based-cib-network-2/ KEYWORDS: #DISINFORMED #Episode7 #Russia #Africa #RussianDisinformation #RussianInfluence #Disinformation #InformationWarfare #InfluenceOperations #ForeignInterference #FIMI #CoordinatedInauthenticBehaviour #CIB #FakeNews #FakeMedia #FakeNewsrooms #MediaImpersonation #GrassrootsManipulation #Astroturfing #ArtificialIntelligence #AI #AIPropaganda #SyntheticMedia #FakeInfluencers #SocialMediaManipulation #Facebook #Meta #OperationNoBell #AfricanMedia #MediaManipulation #Propaganda #DigitalInfluence #Angola #Ghana #Kenya #SouthAfrica #OSINT #WRLD

Je n’ai plus les mots pour qualifier ce qui se passe actuellement en France. Les prévisions météorologiques ne cessent de repousser l’échéance du retour des pluies. Désormais, presque aucune précipitation significative n’est attendue sur une grande partie du pays jusqu’au 6 octobre. L’indice hydrique des sols français pourrait ainsi battre son record absolu de sécheresse, jusqu’à présent réservé au cœur des étés les plus extrêmes. Sauf que nous serons alors fin septembre, voire début octobre. Du jamais vu ! Et pendant ce temps, aucun répit pour nos forêts, nos écosystèmes et notre agriculture. Les sols continuent de s’assécher, les végétaux accumulent les stress et les conséquences se prolongent désormais bien au-delà de l’été. Et cela dure depuis mai. La France traverse clairement une crise exceptionnelle. #Sécheresse #Météo #Climat