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Instagram Attempts To Dispel Shadowbanning Conspiracies

The Meta-owned company wants creators to better understand how the platform’s algorithms work.

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instagram attempts to dispel shadowbanning conspiracies

A new blog post by Adam Mosseri — Instagram’s top exec — has offered some of the most detailed explanations about how the platform’s algorithm ranks various recommended content in a bid to dispel conspiracy theories concerning shadowbanning.

“Instagram doesn’t have a singular algorithm that oversees what people do and don’t see on the app,” explained Mosseri in his post. Instead, the executive explained that there are several algorithms and ranking systems working behind the scenes of the Explore, Reels, Stories, and Search sections of the app, with each using different signals for cues as to whether a creator or piece of content should be offered for a viewer’s perusal.

Regarding the order of posts in a user’s main feed, the algorithm uses past viewing activity to determine what to show next, as well as “closeness” and “how likely you are to be connected as friends or family”. On the other hand, Explore recommendations are primarily driven by “posts you’ve liked, saved, shared, and commented on in the past” but are more likely to come from creators or accounts the user has never interacted with.

One of the most interesting parts of Mosseri’s blog post is about “addressing shadowbanning”. Mosseri admits there isn’t a universal definition for the term but acknowledges that some creators “use the term to imply that a user’s account or content is limited or hidden without a clear explanation or justification”. Mosseri says that Instagram is working hard to increase transparency around when content or accounts are hidden from the platform’s recommendations.

Also Read: Adobe Firefly AI Image Generator Comes To Photoshop

Mosseri notes that the “account status” feature will alert users if their content or entire account is considered “ineligible” for recommendations and that an appeals process is also available. While this isn’t the first time Instagram has addressed shadowbanning, there has been a noticeable shift in how the company talks about the topic.

The new details from Adam Mosseri’s blog underscore just how vital algorithm recommendations are to Instagram’s operation. Meta chief Mark Zuckerberg has even said that his goal is to transform both Instagram and Facebook into “discovery engines” focused on recommendations rather than posts from friends.

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UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks

The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.

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uae-built falcon-h1 arabic leads llm benchmarks
Abu Dhabi Technology Innovation Institute

Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.

Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.

Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.

TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.

“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.

Also Read: Governata Raises $4M For Saudi AI Data-Governance Push

Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.

Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.

As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.

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