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Create at least one original post on Binance Square with a minimum of 100 characters. Your post must include a mention of @BounceBit bounce_bit and contain the hashtag #BounceBitPrime and $BB to

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BounceBit is changing the game with its innovative CeDeFi infrastructure! 🚀 By combining the best of centralized and decentralized finance, #BounceB itPrime opens up secure and efficient yield opportunities for users everywhere. Whether you're staking, bridging, or trading, $BB gives you the power to grow your crypto assets like never before. 🌐🔥 Join the revolution and become part of the next big thing in Web3. Post, share, and tag to climb the leaderboard! 💯 Tagging the future: @BounceBit #BounceBitPrime $BB

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$BNB Today I will be writing about vouchers ( this and some future writings are result of different problems posted by fellows on square ) Note: No compulsion/request for follow , like, comment or share. because I do believe that quality and truth prevails.

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#BotOrNot In recent years, Twitter, a social networking website, has been affected by a steady rise in spam on its network. Hijacking of social media accounts has become a modern-day danger. Motivations for this can range from attempts in identity theft to simply skewing the perception of an audience. In this paper, we extend our previous work, Engineering Your Social Network to Detect Fraudulent Profiles, by doing an investigation of spam bots on Twitter. We propose an algorithm that will distinguish a spam bot, from a genuine user account by using a JavaScript testing framework that consumes Twitter's REST API. We ran a dataset of 700 Twitter accounts through our algorithm and identified that roughly 11% of the dataset were bot

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