Fake news are becoming a growing concern for several industrial sectors and the society at large. In this article, the authors explain why people are susceptible to fake news and what types of impact fake news can cause, taking examples from the agrifood and other sectors. By providing a concise yet insightful overview in the field, the authors discuss how advances in machine learning and semantic technologies can be utilized to detect fake news and mitigate online disinformation.

中文翻译：

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深思熟虑：打击假新闻和在线虚假信息

假新闻正成为几个工业部门和整个社会日益关注的问题。在本文中，作者以农业食品和其他行业为例，解释了为什么人们容易受到假新闻的影响以及假新闻会造成哪些类型的影响。通过提供该领域简明而富有洞察力的概述，作者讨论了如何利用机器学习和语义技术的进步来检测假新闻和减少在线虚假信息。