Enhancing social media platforms with additional context to improve misinformation recognition

近年来，错误信息已成为影响在线内容可信度的关键数字威胁。大量的研究都集中在自动检测错误信息上。然而，虚假信息仍然存在，人们仍然需要决定消费内容的真实性。问题是，人们不善于识别错误信息。人们研究了不同的方法来解决这一问题，其中包括使用指标通知用户文章来源的可信度，或采取干预措施教人们识别错误信息。然而，这些方法并不总是成功的，需要研究其他方法来提高对错误信息的识别。因此，本项目的目标是研究：(I)可以向社交媒体平台添加哪些额外的上下文，以便用户更好地识别错误信息；以及(Ii)如何更好地呈现信息(包括额外的上下文)，以帮助社交媒体用户对消费的内容做出更好的决策。该项目将研究各种类型的附加背景的有效性，包括从其他平台检索到的信息。我们可能会使用创新的可视化技术来设计更适合帮助社交媒体用户识别错误信息的用户界面。

In recent years, misinformation has emerged as a critical digital threat affecting the trustworthiness of online content. Plenty of research has focused on automating the detection of misinformation. However, misinformation still gets through, and people still have to decide about the veracity of the consumed content. The problem is that people are not good in recognising misinformation. Different approaches have been studied to address this problem, which include the use of indicators to notify users about credibility of the source of an article or interventions to teach people to recognise misinformation. However, these approaches are not always successful and other methods need to be investigated to improve misinformation recognition.Thus, the goal of this project is to study: (i) what additional context could be added to social media platforms so that users become better at recognising misinformation, and (ii) how information (including the additional context) could be better presented to help social media users make better decisions about the consumed content. The project will study the effectiveness of various types of additional context, including information that is retrieved from other platforms. We may use innovative visualisations to design user interfaces that are better suited to help social media users recognise misinformation.