… that will minimize the devastating effects of a misinformation campaign. For instance in the …
social network hear about the correct information before the bad one, making social networks …

… misinformation-detection problem for the case where the knowledge about misinformation
… Furthermore, considering node vulnerability, we aim to detect the misinformation reaching …

… spread of misinformation over online social networks. … misinformation among the subset
of users that have been reached by it. In the second step, assuming to know the misinformation …

Online Social Networks (OSNs) have recently emerged as one of the most effective channels
for information sharing and discovery due to their ability of allowing users to read and …

… methodology for misinformation detection on social networks. … First, the proposed methodology
introduces a misinformation … of misinformation is tied to individual social network users, …

While online social networks … misinformation propagation make its timely detection very
imperative. An important question is how many monitors are required to detect all misinformation …

… or rumors can mislead users into believing misinformation. … of misinformation in social
networks has become a global risk. Therefore, misinformation detection (MID) in social networks …

… In this paper, the term misinformation is used as a general term to refer to any false or … social
networks intentionally or unintentionally. Confronting misinformation in social networks has …

… by misinformation as profit minimization of misinformation (PMM). Given a social network …
profit associated with each edge, and a misinformation seed set, the PMM problem aims to …

… To explore whether the network topology plays a role in the persistence of infections, as it …
on different types of networks: random, scale-free, and a real social network from Facebook. In …