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Alexandre Carvalho wrote that his team had won their first four matches and had already qualified for the quarter-finals. He stated that the proposed content was good, as it had not been the case for a long time, but said he was struggling to be happy after the loss of 2 million subscribers. #Football #Équipe #Victoire (translated)

The author presented Lara Logan as a former star correspondent for CBS News during the war in Baghdad and now a supporter of Trump. He wrote that she had compared the situation in France to the rape she had suffered in Egypt while working for CBS, and noted that she had 1.5 million followers. #LaraLogan #Actualités #Politique #EG #FR #US (translated)

The author addressed American followers and described the situation as “Marie Antoinette syndrome”. They wrote that, by October 1, unrest had spread across France, with authorities reporting 1,949 arrests in one day, hundreds of police officers and gendarmes injured, and schools closed or blockaded. #France #Unrest #MarieAntoinetteSyndrome #US #FR

The author warned American followers that a serious crisis was unfolding in France, saying a high school student protest movement that began around Paris was spreading across the country and that some protests were seeing increasingly serious violence. They also referred to an entrance in Nantes but gave no further details. https://t.co/EBB69kExy2 #France #Protests #Crisis #US #FR

The "Russia is not my enemy" was a great campaign in terms of research. By scraping all these posts, analyzing their followers, and turning it into a visualization, we now have a very good and clear image of the pro-Kremlin network operating on this platform. #RussiaIsNotMyEnemy #ProKremlin #NetworkAnalysis #RU

"Establishment satire ridicules the behaviors, aesthetics, or followers of corrupt leaders while leaving systemic inequalities completely untouched. It mocks individual figures but implicitly validates the underlying political and capitalist institutions, breeding cynicism among #Satire #PoliticalCommentary #Cynicism #Thetweetdoesnotmentionanyspecificcountries #sotherearenocountrycodestoreturn.

To the American Followers BREAKING — Macron, live on French TV/ the Russian Threat to Europe: “The CIA did not inform France of an imminent Russian attack.” But “Russia considers that Europe could be attacked because of Ukraine.” And “There is a real threat. The level of https://t.co/jxNijQWagY #Macron #RussiaThreat #Ukraine #US #FR #RU #UA

Στο μεταξύ έχω καμία τριανταριά κοινούς followers με τον γυναικοκτόνο της Πηνελόπης στην Ηγουμενίτσα, προφανώς δεν γνώριζαν οι άνθρωποι, δεν μπορούσαν άλλωστε να γνωρίζουν από το Χ και απ’ όσα έγραφε. Αυτό δείχνει ότι οι γυναικοκτόνοι είναι πιο κοντά μας απ’ όσο νομίζουμε. #γυναικοκτονία #κοινωνία #ασφάλεια

🚨 INCROYABLE ! Pour remercier un abonné sénégalais qui les a accueillis chez lui durant leur séjour, Nico, Byilhan et Flamby lui ont fait de la pub et lui ont permis de gagner plus de 50 000 followers en quelques minutes 😱 La puissance d’internet, c’est quelque chose… https://t.co/cx8INN4yD1 #Sénégal #Internet #Communauté

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

Laporta : « Nos objectifs pour les années à venir ? L’objectif est de continuer à gagner, de maintenir le Barça comme le meilleur club du monde, et de rester ce que nous sommes : un club catalan. Le lien entre #Barça et la Catalogne est accepté par tous nos supporters, quel que soit leur lieu d’origine. Barcelone respecte la diversité et les différentes façons de penser de ses followers à travers le monde. » « Nous sommes un club qui embrasse la liberté, une valeur liée au #Barça et à la force sociale et à la position spéciale que notre club occupe. » #Barça #FCBarcelona #Catalunya

Mali – a war where some of the people fighting do not exist In Mali's war, an apparently simple question is becoming increasingly difficult to answer: who exactly is speaking to us? A real person? A rebel organisation? A Russian influence operation? A supporter of the military junta? Or somebody who has never existed at all? In September 2026, the Dakar-based Timbuktu Institute published Des algorithmes en guerre, a report examining the use of generative artificial intelligence by actors involved in the Malian conflict. Its researchers describe the country as a potential laboratory for AI-assisted information warfare. Separatist networks are deploying synthetic fighters on TikTok. Jihadist propagandists are experimenting with AI-generated imagery. Pro-government accounts are producing large quantities of content celebrating the Malian armed forces. Russia, meanwhile, operates the most developed influence infrastructure of all: pseudo-media outlets, inauthentic accounts, AI-generated text, images and video, and systems designed to artificially amplify their visibility. Artificial intelligence did not create Mali's conflict. The war has been under way since 2012, and its participants have always fought with propaganda as well as weapons. What AI has changed is the economics of that struggle. A new “witness”, commentator, fighter, poster or video can now be produced in minutes. For audiences watching from a phone, distinguishing between genuine documentation, propaganda and material created entirely by an algorithm is becoming progressively harder. Azzghim – the fighter who cannot be killed or interrogated The most striking case documented by the Timbuktu Institute involves accounts associated with supporters of the Azawad Liberation Front, or FLA, a Tuareg separatist movement fighting the authorities in Bamako. A figure called “Azzghim” appeared on TikTok. He looks like a Tuareg fighter and regularly features in videos attacking Mali's government and Russia's Africa Corps, commenting on the conflict and promoting the cause of Azawad. There is one problem: Azzghim does not exist. Analysis of the videos identified anomalies characteristic of generative AI, including unnatural body movements, visual inconsistencies, irregular colouring and problems with audio synchronisation. According to the Timbuktu Institute, Azzghim is a synthetic character being used as the digital face of a political narrative. The propaganda advantages are considerable. An organisation no longer needs to expose a real spokesman. A synthetic personality can be designed to look exactly as its creators require, speak the appropriate language and appeal to a particular audience. Different characters could potentially be created for younger viewers, traditional communities or different ethnic and social groups. There is another advantage: a synthetic spokesman cannot be arrested, identified or interrogated. Researchers also identified accounts amplifying the material. At the time of the study, TikTok account @tawri.n.azawad had around 207,000 followers and was almost entirely devoted to publishing or repackaging content involving Azzghim. Another account, @asnan831, used a similar synthetic teenage character. An important distinction is necessary. Researchers describe these profiles as belonging to supporters or individuals associated with the FLA. The available evidence does not establish that every account is part of an operation centrally directed by the Front's leadership. The information effect, however, remains significant: a digital community can be constructed around the Azawad cause in which some of the apparent participants may not be real people at all. The jihadists are learning too The picture is different for Jama'at Nusrat al-Islam wal-Muslimin, or JNIM, the al-Qaeda-affiliated coalition that has become one of the most powerful armed groups in the Sahel. Its confirmed use of generative AI remains considerably less sophisticated. In June 2026, JNIM's Az-Zallaqa media apparatus published AI-generated posters promoting material about previous attacks. The images showed fighters in combat but contained familiar generative artefacts: buildings and vegetation merging unnaturally, blurred details and unnaturally smooth surfaces. More important than JNIM's current capabilities is what AI could add to an already sophisticated propaganda apparatus. The organisation already tailors communications to different audiences. UN reporting has documented its use of media channels for broader propaganda while other outlets increasingly distribute material in local languages, including Bambara. Generative AI could dramatically reduce the cost of this strategy, translating material into Fulfulde, Hausa, Zarma or Tamasheq, generating synthetic dubbing and producing multiple versions of the same message. The Timbuktu Institute also considers the future possibility of AI chatbots being used to personalise recruitment. That should not be presented as a capability JNIM has already demonstrated. At present, it is a risk scenario rather than a confirmed operation. Russia has the most sophisticated machine At the other end of the spectrum lies Russia's influence ecosystem. Here, AI is not an isolated experiment but another component of an infrastructure previously developed by Wagner-linked networks, Russian media operations and influence organisations operating across Africa. After Wagner's withdrawal from Mali in 2025, its military role was taken over by the Russian state-controlled Africa Corps. The information infrastructure evolved alongside it. Of particular importance is African Initiative, which presents itself as a news agency but has been identified by France's VIGINUM, the UK's Foreign, Commonwealth & Development Office and the European External Action Service as an important component of Russia's newer influence architecture in Africa. One of the most interesting elements of this ecosystem is a network researchers call AI-Freak. The operation uses generative AI to produce text, images and videos, places them on fake or apparently independent news websites and distributes them through inauthentic accounts. This is supplemented by so-called Black Hat SEO – techniques intended to artificially increase the visibility of content in search engines. Elements of this infrastructure have previously been identified by Meta and OpenAI. In 2024, OpenAI disrupted Russian accounts using ChatGPT to generate articles and comments in English, French and Russian. Some of the French-language content targeted audiences in West Africa. In a later iteration of the operation, AI models were also used to draft scripts for short videos praising the Russian Africa Corps, translate them into French and generate descriptions optimised for social media. This illustrates an important difference between the Russian approach and Azzghim. The separatist ecosystem uses AI primarily to manufacture convincing digital personalities. The Russian model increasingly resembles an industrial production line: text, image, video, pseudo-news website, distribution account, search optimisation and additional channels amplifying the narrative. The objective is not merely to convince someone of a single claim. It is to occupy as much of the information environment as possible with narratives advantageous to Moscow: Russia as an effective security partner, the West as a neo-colonial aggressor, France as a source of instability and Russian forces as defenders of African sovereignty. Yet VIGINUM also warns against equating technological sophistication with actual impact. Some Russian influence channels still attract relatively small audiences. A sophisticated operation is not automatically a successful one. The junta is building its own digital reality Mali's military authorities operate within the same contested information environment. Since breaking with France and moving closer to Moscow, Bamako has increasingly restricted independent media space while promoting a narrative built around restored sovereignty, military success and the benefits of its Russian partnership. The Timbuktu Institute highlights the TikTok account @6tm_officiel. At the time of the study, it had more than 436,000 followers and published substantial amounts of AI-generated material presenting Mali's armed forces, the FAMa, and the Africa Corps in a favourable light. One video concerning the battle for Kidal accumulated around 4.7 million views. Again, attribution requires care. Researchers describe the account as being operated by an individual based in Bamako; they do not provide evidence that it is officially managed by the Malian government. It is better understood as part of a wider pro-government information ecosystem in which the boundaries between state communications, supporters and co-ordinated propaganda can be difficult to establish. The Africa Center for Strategic Studies has previously identified the military regimes in Mali and Burkina Faso as important sources of disinformation campaigns in West Africa. Recurring narratives target France, the United Nations, ECOWAS, human-rights organisations and independent media, while presenting criticism of the authorities as part of a foreign conspiracy. Generative AI allows such narratives to be produced faster, more cheaply and in far more variations. Everyone is fighting over a different version of the same war What makes Mali particularly revealing is that multiple actors are using similar technology for very different objectives. FLA-linked networks need digital faces capable of humanising the Azawad cause and attacking Russia's presence. JNIM needs propaganda material and increasingly localised communications. The pro-government ecosystem seeks to portray Mali's armed forces as victorious and reinforce the junta's legitimacy. Russia possesses the broadest infrastructure, in which AI is merely one component of a larger system involving media outlets, websites, local partners, social-media profiles and technical amplification. The result is a war taking place simultaneously in two realities. In the first, soldiers and civilians are killed, towns change hands and the army, separatists and jihadists fight for territory. In the second, every side is trying to determine what the first reality will look like on a smartphone screen. Generative AI does not need to create a perfect deepfake to be effective. It merely needs to increase the number of competing versions of events until an ordinary viewer can no longer easily determine which one deserves to be trusted. That is why Mali matters. It is not showing us the future of information warfare. It is showing us its present. One TikTok video may feature a real soldier. Another may feature a propagandist. A third may feature a fighter who has never existed. And all three can tell completely different stories about the same war. Sources Timbuktu Institute – Des algorithmes en guerre: Comment l'IA générative rebat les cartes du conflit malien https://timbuktu-institute.org/index.php/toutes-l-actualites/item/1731-rapport-des-algorithmes-en-guerre-comment-l-ia-generative-rebat-les-cartes-du-conflit-malien AfricaNews/AFP – “Mali's information war is increasingly being shaped by AI” https://www.africanews.com/2026/09/09/malis-information-war-is-increasingly-being-shaped-by-ai/ OpenAI – research on Russia-origin influence activity and Operation Stop News https://openai.com/index/disrupting-malicious-uses-of-ai-stop-news-2024/ VIGINUM / FCDO / EEAS – technical report on African Initiative and the AI-Freak network https://www.sgdsn.gouv.fr/files/files/Publications/20250612_TLP-CLEAR_VIGINUM_FCDO_EEAS_Technical_Report_African_Initiative_EN.pdf Africa Center for Strategic Studies – Mapping a Surge of Disinformation in Africa https://africacenter.org/spotlight/mapping-a-surge-of-disinformation-in-africa/ Timbuktu Institute – analysis of AI use by JNIM https://timbuktu-institute.org/index.php/toutes-l-actualites/item/1735-artificial-intelligence-a-new-propaganda-lever-for-jnim-in-mali?print=1&tmpl=component #Disinformation #Mali #Sahel #Africa #ArtificialIntelligence #AI #GenerativeAI #AIPropaganda #InformationWarfare #InfluenceOperations #Propaganda #Deepfakes #SyntheticMedia #Azawad #FLA #JNIM #AfricaCorps #Russia #RussianInfluence #TikTok #DigitalWarfare #MediaManipulation #WRLD

🚨 WOW MACKLEMORE a gagné plus de 1.7 MILLION de FOLLOWERS sur INSTAGRAM suite à son exclusion de la tournée de ED SHEERAN !! Sa déclaration sur Instagram cumule actuellement presque 7 MILLIONS de LIKES. https://t.co/zt4phasDeA #Macklemore #Instagram #EdSheeran