A method for detection of misinformation without the need to analyze any articles (HINTS) includes forming a mixed graph containing at least two different node types, such as users and articles, with edges between users and articles, and with user weights for user nodes and article weights for article nodes. Seed nodes are planted for at least one user node and at least one article node. User weights and article weights are manually assigned to the seed nodes, then neighborhoods are defined for the seed nodes. A HITS-like algorithm is then run for a predetermined number of rounds updating both people and articles, while keeping the weights of the seed nodes constant to converge the graph for the weights of articles and users. Finally, a set of highest weights for users and/or articles is outputted and possible remedial action can be taken.
System and Method for Detecting Misinformation and Fake News via Network Analysis