Recently, the use of social media platforms has increased with ease and fast accessibility, making such a place rumor proliferation owing to lack posting constraints content authentication. Therefore, there is need leverage artificial intelligence techniques detect rumors on prevent their adverse effects society individuals. Most existing works that in Arabic target textual features tweet conte...

How fake news goes viral via social media? How does its propagation pattern differ from real stories? In this paper, we attempt to address the problem of identifying rumors, i.e., fake information, out of microblog posts based on their propagation structure. We firstly model microblog posts diffusion with propagation trees, which provide valuable clues on how an original message is transmitted ...

Rumors inundate every social network. Some of them are true, but many of them are false. On rare occasions, a false rumor is exposed as the lie that it is. But more commonly, false rumors have a habit of obtaining apparent verification, by corroboration from what seems to be a second independent source. However, in complex social networks, the connectivity is such that a putative second source ...

Abstract Emotions are regarded as a dominant driver of human behavior, and yet their role in online rumor diffusion is largely unexplored. In this study, we empirically study the extent to which emotions explain rumors. We analyze large-scale sample 107,014 rumors from Twitter, well cascades. For each rumor, embedded were measured based on eight so-called basic Plutchik’s wheel (i.e., anticipat...

How does a rumor come to be believed as a fact as it spreads across a chain of consumers? This research proposes that because consumers’ certainty about their beliefs (e.g., attitudes, opinions) is less salient than the beliefs themselves, certainty information is more susceptible to being lost in communication. Consistent with this idea, the current studies reveal that though consumers transmi...

Radio networks model wireless synchronous communication with only one wave frequency used for transmissions. In the problem of many-to-all (M2A) communication, some nodes hold input rumors, and the goal is to have all nodes learn all the rumors. We study the average time complexity of distributed many-to-all communication by deterministic protocols in directed networks under two scenarios: of c...

In this paper, we propose a novel two-stage rumor spreading SusceptibleInfected-Authoritative-Removed (SIAR) model for complex homogeneous and heterogeneous networks. The interaction Markov chains (IMC) mean-field equations based on the SIAR model are derived to describe the dynamic interaction between the rumors and authoritative information. We use a Monte Carlo simulation method to character...

Rumour detection is hard because the most accurate systems operate retrospectively, only recognising rumours once they have collected repeated signals. By then the rumours might have already spread and caused harm. We introduce a new category of features based on novelty, tailored to detect rumours early on. To compensate for the absence of repeated signals, we make use of news wire as an addit...