Comparing models of online misinformation distribution: A survey paper.

The rapid dissemination of misinformation has become one of the most pressing issues of the modern world, as social media platforms enable misinformation to be spread incredibly quickly and unpredictably. To combat the misinformation epidemic, many misinformation models have been developed to simulate and study the spread of misinformation so that it may be understood and mitigated more effectively. While many survey papers review misinformation holistically, there is a gap in the literature for a survey of models in particular, mainly because the field is still relatively young. To overcome this gap, we compile a dataset of 28 papers, each using its model to study misinformation. In reviewing trends amongst these models, we find that a. there is a shortage of papers that evaluate countermeasures against misinformation or take their influence into account, and b. platforms other than Twitter/X are underused as sources for model validation data, considering their real-world importance. [ABSTRACT FROM AUTHOR]