Authority-based conversation tracking in Twitter: an unattended methodological approach
Authors
Mora Cantallops, Marçal; Sánchez Alonso, Salvador; García Barriocanal, María Elena; Sicilia Urbán, Miguel ÁngelIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/60423DOI: 10.3390/app10093273
ISSN: 2076-3417
Publisher
MDPI
Date
2020-05-08Bibliographic citation
Mora Cantallops, M., Sánchez Alonso, S., García Barriocanal, M.E. & Sicilia Urbán, M.A. 2020, "Authority-based conversation tracking in Twitter: an unattended methodological approach", Applied Sciences, vol. 10, no. 9, pp. 1-21.
Keywords
Twitter
Topic tracking
Data extraction
Information retrieval
Data mining
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Publisher's version
https://doi.org/10.3390/app10093273Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2020 The authors
Access rights
info:eu-repo/semantics/openAccess
Abstract
Twitter is undoubtedly one of the most widely used data sources to analyze human communication. The literature is full of examples where Twitter is accessed, and data are downloaded as the previous step to a more in-depth analysis in a wide variety of knowledge areas. Unfortunately, the extraction of relevant information from the opinions that users freely express in Twitter is complicated, both because of the volume generated—more than 6000 tweets per second—and the difficulties related to filtering out only what is pertinent to our research. Inspired by the fact that a large part of users use Twitter to communicate or receive political information, we created a method that allows for the monitoring of a set of users (which we will call authorities) and the tracking of the information published by them about an event. Our approach consists of dynamically and automatically monitoring the hottest topics among all the conversations where the authorities are involved, and retrieving the tweets in connection with those topics, filtering other conversations out. Although our case study involves the method being applied to the political discussions held during the Spanish general, local, and European elections of April/May 2019, the method is equally applicable to many other contexts, such as sporting events, marketing campaigns, or health crises.
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