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2017 | OriginalPaper | Chapter

Predicting the Evolution of Narratives in Social Media

Authors : Klaus Arthur Schmid, Andreas Züfle, Dieter Pfoser, Andrew Crooks, Arie Croitoru, Anthony Stefanidis

Published in: Advances in Spatial and Temporal Databases

Publisher: Springer International Publishing

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Abstract

The emergence of global networking capabilities (e.g. social media) has provided newfound mechanisms and avenues for information to be generated, disseminated, shaped, and consumed. The spread and evolution of online information represents a unique narrative ecosystem that is facilitated by cyberspace but operates at the nexus of three dimensions: the social network, the contextual, and the spatial. Current approaches to predict patterns of information spread across social media primarily focus on the social network dimension of the problem. The novel challenge formulated in this work is to blend the social, spatial, and contextual dimensions of online narratives in order to support high fidelity simulations that are contextually informed by past events, and support the multi-granular, reconfigural and dynamic prediction of the dissemination of a new narrative.

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Metadata
Title
Predicting the Evolution of Narratives in Social Media
Authors
Klaus Arthur Schmid
Andreas Züfle
Dieter Pfoser
Andrew Crooks
Arie Croitoru
Anthony Stefanidis
Copyright Year
2017
Book
Advances in Spatial and Temporal Databases

Print ISBN: 978-3-319-64366-3

Electronic ISBN: 978-3-319-64367-0

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-64367-0_22

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