COVID19 Infodemics Observatory

Results from the analysis of infodemics due to unreliable content in online social media.
Specifically, here we consider public posts on Twitter, analyzed with state-of-the-art machine learning techniques for: (1) population emotional state; (2) bot/human classification; (3) news reliability.

Released data are aggregated and compliant with GDPR regulations and Twitter Terms of Service.

本数据集汇聚了针对网络社交媒体中不可靠内容导致的信源泛滥现象的分析结果。具体而言，本研究对Twitter上的公开帖子进行了分析，采用最前沿的机器学习技术，旨在评估：（1）人群情绪状态；（2）机器人与人类用户的分类；（3）新闻的可靠性。发布的数据均符合欧盟通用数据保护条例（GDPR）的规定，并遵守Twitter服务条款。