摘要
由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-研究人员详细介绍了人工智能的新数据。根据NewsRx记者从英国阿伯丁发来的新闻报道，研究表明，“假新闻和虚假信息(FNaD)正越来越多地通过各种在线和社交网络平台传播，造成广泛的干扰，并影响决策认知。尽管在政治中发现假新闻越来越重要，在开发面向人工智能（A I）和机器学习的(ML)的FNaD检测模型方面，所做的研究工作相对有限，适合将供应链中断降至最低(SCDs)"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Artificial Intelligence. According to news originating from Aberdeen, United Kingdom, by NewsRx correspondents, research stated, “Fake news and disinformation (FNaD) are increasingly being circulated through various online and social networking platforms, causing widespread disruptions and influencing decision-making perceptions. Despite the growing importance of detecting fake news in politics, relatively limited research efforts have been made to develop artificial intelligence (A I) and machine learning (ML) oriented FNaD detection models suited to minimize supply chain disruptions (SCDs).”
NETL
NSTL