Rumors

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Rumors and Social Networks

Why do people spread rumors? This paper studies the transmission of possibly false information—by rational agents who seek the truth. Unbiased agents earn payoffs when a collective decision is correct in that it matches the true state of the world. Biased agents desire a particular decision regardless of the true state. One agent possibly learns the true underlying state and chooses whether to ...

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Spotting Rumors via Novelty Detection

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...

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GOSSIB vs. IP Traceback Rumors

To identify sources of distributed denial-of-service attacks, path traceback mechanisms have been proposed. Traceback mechanisms relying on probabilistic packet marking (PPM) have received most attention, as they are easy to implement and deploy incrementally. In this paper, we introduce a new concept, namely Groups Of Strongly SImilar Birthdays (GOSSIB), that can be used by to obtain effects s...

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From rumors to genetic isolates

Here we propose a registration process for population genetic isolates, usually geographic clusters of genetic disorders, based on the systematic search of rumors, defined as any type of account regardless of its reliability. Systematically ascertained rumors are recorded, and validated through a progressive process of pre-established steps. This paper outlines the conceptual basis for this app...

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From Rumors to Facts, and Facts to Rumors: The Role of Certainty Decay in Consumer Communications

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ژورنال

عنوان ژورنال: Against the Grain

سال: 1993

ISSN: 2380-176X

DOI: 10.7771/2380-176x.1304