In recent years, digital technologies have grown in many ways. As a result, many school-aged children have been exposed to the digital world a lot. Children are using more digital technologies, so schools need to teach kids more about cyber security and online safety. Because of this, there are now more school programmes and projects that teach students about cyber security and online safety and help them learn and improve their skills. Still, despite many programmes and projects, there is not much proof of how many schools have taken part and helped spread the word about them. This work shows how we can learn about the size and scope of cyber security and online safety education in schools in the UK, a country with a very active and advanced cyber security education profile, using nearly 200k public tweets from over 15k schools. By using simple techniques like descriptive statistics and visualisation as well as advanced natural language processing (NLP) techniques like sentiment analysis and topic modelling, we show some new findings and insights about how UK schools as a sector have been doing on Twitter with their cyber security and online safety education activities. Our work has led to a range of large-scale and real-world evidence that can help inform people and organisations interested in cyber security and teaching online safety in schools.
翻译:近些年来,数字技术以多种方式发展。结果,许多学龄儿童在数字世界中暴露了很多。儿童正在使用更多的数字技术,因此学校需要向孩子们更多地传授网络安全和在线安全知识。因此,现在有更多的学校方案和项目,向学生教授网络安全和在线安全,帮助他们学习和提高技能。尽管有许多方案和项目,但并没有多少证据证明有多少学校参与并帮助传播了有关它们的信息。这项工作表明我们如何能够了解英国学校网络安全和在线安全教育的规模和范围。英国是一个拥有非常活跃和高级网络安全教育背景的国家,使用来自15公里以上学校的近200公里公共推特进行网络安全教育。通过使用描述性统计和视觉化等简单技术以及诸如情绪分析和主题建模等先进的自然语言处理技术,我们展示了一些关于英国学校作为一个部门如何通过网络安全和在线安全教育活动在推特上做工作的新发现和洞察力。我们的工作导致了一系列大规模和现实世界证据,有助于向人们和组织提供网络安全在线教育。