ୟୁରୋପ DSA (Digital Services Act-2022) ଆଇନ ଆଣି YouTube/Facebook ଆଲଗୋରିଦମର Third-Party Audit କରୁଛି। ଭାରତରେ କେବେ? ଜନସ୍ୱାର୍ଥ ପାଇଁ Algorithm Transparency ଦରକାର। #PublicInterestAlgorithm #SupportHighQualityContentCreators #AlgorithmTransparency ⁦@AshwiniVaishnaw⁩ @PMOIndia

马斯克在空军一号上炫耀推特算法的公开透明，这只不过是一场精心设计的公关秀和装B。 ​这让人联想起某国家2020的选举：法律条文写得冠冕堂皇，程序逻辑全公开，但正如那句名言所说——“决定结果的不是投票的人，而是计票的人。” 🗳️ ​算法代码即便开源，底层的权重调优、服务器端的黑箱操作、以及那控制着 95% 资源分配的 5% 精英阶层，依然稳坐钓鱼台，并不断给屁民上道德课。 普通人以为看到了规则，其实只是看到了“主人们”想让看到的“剧本”。在权力的棋盘上，透明度往往是最高级的掩护。 ​#ElonMusk #AlgorithmTransparency #SocialEngineering #PowerDynamics #TwitterX #DigitalDemocracy

Social media isn’t just influencing opinions anymore algorithms are shaping emotions, beliefs, and public sentiment at scale. Platforms like Instagram and Facebook amplify outrage, fear, and divisive content because emotional reactions drive engagement. This isn’t just a tech issue it’s a societal and democratic concern. Recommendation algorithms need greater transparency and accountability. Reference: scientificamerican.com/artic… #AlgorithmTransparency #Misinformation #SocialMediaImpact #EchoChamber #DigitalManipulation #ResponsibleAI #EchoChamber #ElectionIntegrity #ResponsibleAI #ThinkBeforeYouScroll #TruthVsAlgorithm #SentimentEngineering #MindControl #DigitalManipulation #ProtectDemocracy #AlgorithmAccountability #TamilNaduPolitics #TVK #DMK #AIADMK #TamilNaduElection

What we are witnessing today is not merely the misuse of social media platforms, it is a highly sophisticated form of social engineering that exploits human emotions, biases, and sentiments at scale. The recent election results once again demonstrate how recommendation algorithms used by platforms like Instagram, Facebook, and other social media networks can influence public opinion and amplify emotional reactions around political ideologies, leaders, and social narratives. These platforms are no longer just communication tools; they have become behavioral influence systems powered by data, psychology, and AI-driven engagement algorithms. Research has shown that social media algorithms prioritize emotionally charged and highly engaging content because outrage, fear, anger, and tribal identity keep users active for longer periods. Over time, this creates “echo chambers” and “filter bubbles,” where people are repeatedly exposed only to information that reinforces their existing beliefs. This weakens critical thinking and increases emotional polarization. According to research published in Scientific American, human cognitive biases, combined with algorithmic amplification, make people significantly more vulnerable to misinformation and manipulation. Studies also show that repeated exposure to the same narratives — even misleading ones — can make people more likely to believe them. Social media exploits psychological effects such as confirmation bias, emotional triggering, social validation, and the “mere exposure effect,” where repeated content starts feeling true or trustworthy simply because it is seen frequently. The danger becomes even greater when algorithms optimize purely for engagement instead of truth or social responsibility. In many cases, divisive, sensational, and emotionally provocative content spreads faster than factual or balanced information because it generates more reactions, shares, and watch time. Researchers have warned that these systems can distort public perception, intensify social divisions, and manipulate collective sentiment during elections and major political events. This is why governments and regulatory bodies — including in India — should seriously consider establishing transparency and accountability standards for social media recommendation algorithms. Platforms that shape public discourse at such a massive scale should not operate without oversight, especially when their systems can influence democratic processes, public emotions, and societal harmony. Freedom of expression is important, but algorithmic manipulation of human psychology is a different issue altogether. When technology begins exploiting emotional vulnerabilities for engagement and profit, it becomes a societal risk rather than just a digital innovation. People must also become more aware that not everything trending online reflects reality. Viral content often reflects what algorithms choose to amplify — not necessarily what is truthful, balanced, or representative of society as a whole. Reference: scientificamerican.com/artic… #AlgorithmTransparency #Misinformation #EchoChamber #DigitalManipulation #ElectionIntegrity #ResponsibleAI #SocialMediaImpact #ThinkBeforeYouScroll #TruthVsAlgorithm #SentimentEngineering #MindControl #DigitalManipulation #ProtectDemocracy #AlgorithmAccountability #TamilNaduPolitics #TVK #DMK #AIADMK #TamilNaduElection

The X Algorithm: What the Open-Source Code Actually Proves About Your Thread Thank you for this raw, detailed and widely shared thread, @ianmiles. You're articulating what thousands of creators are feeling right now: the algorithm isn't just broken, it has fundamentally replaced the Social Graph, the explicit choice people made when they hit "Follow", with a Prediction Graph that decides reach before anyone even sees your post. Further results are in my new blog post: "The Prediction Feed"🔗 coresecret.eu/2026/04/24/the… 1. What the Code Directly Confirms - Follower count is now mostly a display number. author_followers_count is still hydrated via Gizmoduck, but it does not appear in the WeightedScorer or any of the 19 Phoenix prediction heads. It has zero direct influence on ranking. - The "Prediction Trap" / Candidate Isolation is real and built-in. The Grok-based Transformer (PhoenixScorer) calculates 19 separate engagement probabilities (favorite_score, reply_score, dwell_score, not_interested_score, report_score etc.) before any impression is served. Poor embeddings = immediate exclusion from the TopK selector. This is exactly the pre-emptive devaluation you describe. - Author Diversity = exponential decay. The AuthorDiversityScorer multiplies every additional post from the same author with decay_factor^position floor. Post too much → each new tweet is heavily downweighted in the same feed session. - Thunder (In-Network) has hard 48h retention. Old posts from accounts you actually follow simply disappear from the candidate pool. - Retweets are strictly deduplicated (no magical 90 % penalty, but effectively removed after first appearance). The code proves the structural shift you're complaining about: the system no longer treats your earned followers as primary distribution capital. It treats them as one signal among many and often the weakest one. 2. Why This Explains the Creator Collapse You're Seeing - Small accounts can't grow organically anymore because there is no reliable social-proof boost in scoring. - Large accounts watch reach collapse because decay and negative feedback loops and prediction failures kick in. - Posting across multiple interests gets punished because embeddings reward narrow topical consistency. - The Following feed is systematically overridden by Phoenix Retrieval and WeightedScorer. This isn't speculation. It's directly visible in weighted_scorer.rs, author_diversity_scorer.rs, phoenix_candidate_pipeline.rs and the Thunder PostStore. 3. The Fix Is Straightforward (and Technical) Give the explicit social graph real weight again especially in the "Following" tab. Let "For You" stay discovery-only. Publish the actual weights (params.rs) for transparency. A small configuration change could restore trust for millions of creators who built this platform. @elonmusk @xai @Engineering the repo is public precisely so the community can help. The pain points are now verifiable in the code. Creators aren't asking for special treatment. We're asking for the platform to respect the relationships we spent years building. @ianmiles have you dug into the repo yourself? Would love to hear your take on the PhoenixScorer specifically. #XAlgorithm #PredictionFeed #FixTheAlgo #ForYouFeed #AlgorithmTransparency

🚨 सहकार टैक्सी सहकारी लिमिटेड के उपनियम स्पष्ट कहते हैं: 📜 अनुच्छेद 3(1) – ड्राइवरों के लिए उचित आय और सम्मानजनक आजीविका सुनिश्चित करना। � 📜 अनुच्छेद 3(2)(ख)(ii) – शोषणकारी मूल्य निर्धारण और एल्गोरिदम आधारित दंड से सुरक्षा। � 📜 अनुच्छेद 3(2)(ख)(iii) – मूल्य निर्धारण व एल्गोरिदम में पारदर्शिता। � सहकार_टैक्सी_सहकारी_लिमिटेड_के_उप_नियम.pdf None सहकार_टैक्सी_सहकारी_लिमिटेड_के_उप_नियम.pdf None सहकार_टैक्सी_सहकारी_लिमिटेड_के_उप_नियम.pdf None लेकिन ज़मीन पर क्या हो रहा है? ❗ कम किराया ❗ पिकअप दूरी का अस्पष्ट भुगतान ❗ एल्गोरिदम की जानकारी साझा नहीं ❗ वास्तविक आय उपनियम की भावना के विपरीत अगर सहकार मॉडल में भी पारदर्शिता नहीं होगी, तो यह निजी एग्रीगेटर से अलग कैसे है? हम मांग करते हैं: ✔️ फेयर ब्रेकअप सार्वजनिक किया जाए ✔️ एल्गोरिदम पारदर्शी किया जाए ✔️ सारथियों की आय की गारंटी सुनिश्चित की जाए जवाबदेही तय हो। सारथियों का शोषण बंद हो। @PMOIndia @MORTHIndia @LabourMinistry @NITIAayog @mygovindia @NCDCIndia @TransportDelhi @CMODelhi @aajtak @ndtv @ZeeNews @News18India @IndianExpress @htTweets #SahkarTaxi #DriverRights #FairFare #AlgorithmTransparency #CooperativeJustice #GigWorkers #TransparencyNow #DelhiNCR

सहकार टैक्सी के उपनियम अनुच्छेद 3[2,(B)(ii)] में स्पष्ट लिखा है कि सारथियों को मूल्यनिर्धारण व एल्गोरिदम आधारित शोषण से बचाना उद्देश्य है। लेकिन ज़मीनी हकीकत देखिए — 1.3 km पिकअप 4.1 km ट्रिप (कुल ~5.4 km), 21 मिनट का समय और भुगतान मात्र ₹101। क्या यह न्यायसंगत है? क्या पिकअप दूरी, ट्रैफिक समय और वेटिंग का पूरा भुगतान शामिल है? फेयर ब्रेकअप सार्वजनिक क्यों नहीं किया जाता? यदि सहकार मॉडल में भी पारदर्शिता नहीं होगी, तो फिर यह निजी एग्रीगेटर से अलग कैसे है? हम टकराव नहीं, पारदर्शी एल्गोरिदम और न्यायपूर्ण किराया संरचना चाहते हैं। @MORTHIndia @TransportDelhi @NITIAayog @mygovindia @PMOIndia @labourministry @SahakarTaxi मीडिया साथियों से भी निवेदन है इस विषय पर ध्यान दें: @aajtak @ndtv @ZeeNews @News18India @IndianExpress #SahkarTaxi #DriverRights #FairFare #AlgorithmTransparency #CooperativeModel #GigWorkers #TransportJustice #DelhiNCR #TransparencyNow

OPINION Must India ban social media for children? Click- dailypioneer.com/news/must-i… #SocialMedia #ChildSafety #OnlineSafety #DigitalWellbeing #MentalHealth #ChildMentalHealth #ScreenTime #AlgorithmicManipulation #ArtificialIntelligence #AI #CyberBullying #OnlineHarms #Depression #Anxiety #DigitalRegulation #AgeVerification #DataPrivacy #AlgorithmTransparency #YouthProtection #DigitalIndia #Germany #FriedrichMerz #Australia #France #Spain #Greece #UnitedKingdom #TechPolicy #ResponsibleTech #ProtectOurChildren #RegulateSocialMedia

"Social media is clearly harmful to children and everyone, spreading violence and disinformation. But banning it for certain ages may not work. The main issue is algorithmic transparency, and companies must be held accountable for the harm they cause"—Asad Baig, founder Media Matters for Democracy #AsadBaig #MediaMattersForDemocracy #SocialMediaImpact #AlgorithmTransparency #OnlineSafety #DigitalResponsibility #ChildProtection #Misinformation #PakistanTV #PakistanTvglobal

"I have decided that @elonmusk will never silence my voice. I will continue to voice my opinion as is my God-given right. Algorithmic suppression needs to end now. #FreeSpeech #algorithmtransparency #1A

🤔 Did Elon Musk just finally crack open the X "black box"? 🚀 The tech world is buzzing because @X just re-released its recommendation algorithm as open-source, and this time, it’s the real deal. Unlike the "placeholder" version we saw in 2023, @ElonMusk is showing his full hand. He even joked that the current code is still a bit "dumb," but the shift is massive: we’re officially in the era of a fully AI-driven feed powered by @Grok. Think of X now as a massive "prediction engine." 🔹 It starts with Candidate Generation, sifting through billions of posts to find your potential matches in a heartbeat. 🔹 Then, a Transformer architecture predicts the exact probability you’ll engage—ranking everything based on what it thinks you'll actually reply to. 🔹 The best part? Those mysterious manual filters are being replaced by smarter, automated layers. With the Apache 2.0 license, this is a huge win for us. We can finally deconstruct the logic and see what's actually happening under the hood. For a deeper dive into the concepts, check out this thread series on [SciencePedia] 👇 #OpenSource #GrokAI #RecSys #ElonMusk #AlgorithmTransparency

TikTok forms US joint venture under security order yespunjab.com/?p=209229 #TikTok #USPolitics #TechRegulation #DataSecurity #Cybersecurity #Oracle #ByteDance #SocialMediaNews #NationalSecurity #USBusiness #ContentCreators #DigitalPolicy #TechNews #AlgorithmTransparency

📉 Crypto posts and bot activity have spiked on X, and Elon says the platform will open-source its recommendation algorithm to fight spam and manipulation. Quality over noise. #CryptoCommunity #XApp #ElonMusk #AlgorithmTransparency

💥🌐 埃隆·马斯克 vs 欧盟监管：一次把“算法权力”摊在阳光下的对决 我把这件事看作 2026 年信息治理格局的一个关键拐点。 Elon Musk宣布，将在短时间内开源 X 的推荐算法，并且后续定期更新、附带开发者注释。 这不是技术秀，而是一次非常明确的政治与制度回应。 背景很清楚。 欧盟层面的监管压力持续加码，算法被定义为“需要被审查、被解释、被干预的对象”。 法国方面甚至试图用极端的法律框架，为获取算法与内部通信打开更大的执法空间。 在他们的逻辑里：只要算法不透明，就等同于“有罪”。 马斯克的回应逻辑，完全反着来。 不是“私下交算法”， 不是“在监管办公室里配合审查”， 而是——直接全部公开，所有人同时看到。 你想看？ 不是你一个监管机构看。 是全世界一起看。 这是一个非常典型、也非常“马斯克式”的反击。 欧盟监管机构真正想要的，其实不是“理解算法”，而是**“可控的算法访问权”**—— 可以定向施压、可以私下谈条件、可以在不透明空间里要求修改。 但开源直接把这个空间抹掉了。 当算法是公开的： • 就不存在“只给监管机构看的版本” • 就不存在“悄悄要求降权、限流、审查”的空间 • 所有研究者、竞争平台、政府，看到的都是同一份代码 审查一旦暴露在阳光下，就失去了最重要的武器：不可见性。 这就是为什么我把这一步称为“四维博弈”。 表面上是技术透明， 实际上是制度博弈、舆论博弈、监管权力博弈、以及对未来互联网控制权的博弈。 我的判断很简单，也并不乐观： 欧盟很可能会升级情绪与措辞， 威胁更多罚款、更多调查、更多政治化指控。 但问题在于—— 当你面对的是一个不在乎罚款、不依赖欧洲市场增长叙事、并且愿意把底牌全部摊开的对手， 传统监管工具会明显失效。 接下来更有意思的，是“示范效应”。 如果 X 的算法是完全公开的： • 其他平台要不要跟？ • 不跟，是不是就默认“我在隐藏什么”？ • 跟了，又是否愿意承担同样的透明代价？ 这会逼整个社交平台行业重新回答一个问题： 算法，究竟是公共基础设施，还是企业黑箱？ 如果这都不算典型的马斯克风格，那确实很难再找到更贴切的例子了。 你更倾向这种“极端透明”的路线， 还是认为算法必须保留一定的不可公开空间？ 📬我会持续追踪科技公司在监管压力下的真实应对方式，以及这些博弈如何反向改变平台规则与投资逻辑。 如果你关注科技、言论边界与制度冲突的长期走向，欢迎订阅。 #ElonMusk #XPlatform #EURegulation #AlgorithmTransparency #FreeSpeech #TechPolicy #DigitalGovernance

Transparency win! 🚀 Open-sourcing the X algorithm will build trust & spark innovation. Can't wait for those dev notes, Elon. Who's ready to dive in? #XOpenSource #AlgorithmTransparency (What feature would you tweak first?)

GN Bonus ! .............. #algorithmtransparency #GenerativeAI #AIart

Algorithm Anxiety 🤖⚡ Ever feel like you’re shouting into the void while an invisible algorithm decides your reach? 🌀 RuBaRu changes that - making discovery, visibility, and control #trustless and #transparent, not ruled by hidden systems. 🔓🌐 #AlgorithmTransparency #OnChain #SocialFi #RuBaRu $ICP

Did you miss our event with @FEPS_Europe on the power of AI over decisions? You can now rewatch it fully! 📺youtube.com/watch?v=T7y09LMU… #AIatWork #algorithmtransparency

wrong echoes #XAI #GrokImagine #algorithmtransparency

The digital world is being flooded with mis information regarding 3i Atlas @elonmusk Genuine scientific discovery is buried on X. Ask yourself why a fake post with a fake video suggesting incredible mis truths, would be promoted to receive 1 million views. Whilst verified analysis and actual signal processing data revealing the truth, never see the light of day. It's the truth the data reveals, obviously. Of course our cognitive dissonance struggles with the realisation and basic truth. We are entertained, distracted, pushed, pulled, diverted and subverted away from anything remotely resembling reality in 2025. We all see the Wizard behind the curtain. Very thin curtain, almost gossamer. Dilute/Distort/Dumb Down. #algorithmtransparency #ClickBait #informationwarfare