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We consider a network of $n$ user nodes that receives updates from a sourceand employs an age-based gossip protocol for faster dissemination of versionupdates to all nodes. When a node forwards its packet to another node, thepacket information gets mutated with probability $p$ during transmission,creating misinformation. The receiver node does not know whether an incomingpacket information is different from the packet information originally at thesender node. We assume that truth prevails over misinformation, and therefore,when a receiver encounters both accurate information and misinformationcorresponding to the same version, the accurate information gets chosen forstorage at the node. We study the expected fraction of nodes with correctinformation in the network and version age at the nodes in this setting usingstochastic hybrid systems (SHS) modelling and study their properties. Weobserve that very high or very low gossiping rates help curb misinformation,and misinformation spread is higher with moderate gossiping rates. We supportour theoretical findings with simulation results which shed further light onthe behavior of above quantities.

Information Mutation and Spread of Misinformation in Timely Gossip Networks