摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-根据基于预印摘要的新闻报道，我们的记者获得了以下报价来自OS F.IO：“这项研究通过来自哥伦比亚的记者I Nna Afinogenova的案例考察了哥伦比亚的虚假信息。”俄罗斯媒体ActualidadRT，专注于她的推特活动。它研究无机盐的作用使用"信息混乱"框架放大政治虚假信息的账户。数据是收集自她54个月来(2017年1月至2021年7月)病毒最多的帖子，以及与我互动的用户它们被分为有机或无机，还有进一步的分类，如：无机，高度可疑，可疑，有机的。一种unsu监督机器学习算法及其理论框架发现异常行为，11.25%的用户表现出固定的无机行为。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from os f.io:“This study examines disinformation in Colombia through the case of journalist I nna Afinogenova fromRussian media outlet ActualidadRT, focusing on her Twitter activity. It investigates the role of inorganicaccounts in amplifying political disinformation using the “information disorder” framework. Data werecollected from her most viral posts over 54 months (January 2017 - July 2021), and users i nteracting withthem were classified as organic or inorganic, with further subdi visions, such as: inorganic, highly suspicious,suspicious, and organic. An unsu pervised machine learning algorithm and a theoretical framework jointlyidentifi ed abnormal behaviour, revealing that 11.25% of users exhibited co nfirmed inorganic behaviour.
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