  Information diffusion across various new media platforms gradually influences
perceptions, decisions, and social behaviors of individual users. In
communication studies, the famous Five W's of Communication model (5W Model)
has displayed the process of information diffusion clearly. At present,
although plenty of studies and corresponding datasets about information
diffusion have emerged, a systematic categorization of tasks and an integration
of datasets are still lacking. To address this gap, we survey a systematic
taxonomy of information diffusion tasks and datasets based on the "5W Model"
framework. We first categorize the information diffusion tasks into ten
subtasks with definitions and datasets analysis, from three main tasks of
information diffusion prediction, social bot detection, and misinformation
detection. We also collect the publicly available dataset repository of
information diffusion tasks with the available links and compare them based on
six attributes affiliated to users and content: user information, social
network, bot label, propagation content, propagation network, and veracity
label. In addition, we discuss the limitations and future directions of current
datasets and research topics to advance the future development of information
diffusion. The dataset repository can be accessed at our website
https://github.com/fuxiaG/Information-Diffusion-Datasets.
