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Evolución de mensajes de odio en redes sociales : Origen e impacto

Authors: Pérez Herrera, Fernando José; Universitat Autònoma de Barcelona. Escola d'Enginyeria;

Evolución de mensajes de odio en redes sociales : Origen e impacto

Abstract

Este proyecto presenta el desarrollo de una aplicación que permite extraer datos de los mensajes de las redes sociales, concretamente en la red social llamada Twitter. Todos los mensajes publicados tienen un rango de difusión que define si han llegado a más o menos usuarios de esta red, sin importar el tipo de contenido de un tweet : político, social, personal, publicitario. Todos tienen la intención de transmitir información a los demás usuarios. Este proyecto será la herramienta que permitirá a una persona experta en sociología, o en el ámbito del estudio del comportamiento de las personas, analizar el impacto de un tweet, pues esta herramienta utilizará la librería Tweepy, una librería oficial de Twitter Developer Platform para extraer toda la información posible mediante la introducción del enlace de un tweet.

Aquest projecte presenta el desenvolupament d'una aplicació que permet extreure dades dels missatges de les xarxes socials, concretament a la xarxa social anomenada Twitter. Tots els missatges publicats tenen un rang de difusió que defineix si han arribat a més o menys usuaris d'aquesta xarxa, sense importar el tipus de contingut d'un tweet: polític, social, publicitari o personal. Tots amb la intenció de transmetre informació als altres usuaris. Aquest projecte serà l'eina que permetrà a una persona experta en sociologia, o en l'àmbit de l'estudi del comportament de les persones, analitzar el impacte d'un tweet, ja que aquesta eina utilitzarà la llibreria Tweepy, una llibreria oficial de Twitter Developer Platform per extreure tota la informació possible mitjançant la introducció de l'enllaç d'un tweet.

This project presents the development of an application that allows data extraction from network messages of social networks, specifically in the social network called Twitter. All messages published have a diffusion range that defines whether they have reached more or fewer users of this network, regardless of the content type's tweet: political, social, advertising or personal. Which all are intended to communicate information on to other users. This project will be the tool that will allow an expert in sociology, or in the field of studying people's behavior, to analyze the impact of a tweet, as this tool will use the Tweepy library, an official Twitter Developer Platform library to extract as much information as possible by entering the link of a tweet.

Country
Spain
Keywords

Library, Controversy, Social Interaction, Interfície de Programació d'Aplicació (API), Palabra clave, Interacció social, Retweet, Llibrería, Re tuit, Sentiment Analysis, Stanza, Hashtag, Librería, Keyword, Natural Language Processing, Internet, Interfaz de Programación de Aplicación (API), Análisis del sentimiento, Application Programming Interface (API), Polémica, Procesado del lenguaje natural, Etiqueta, Tweet, Like, Anàlisi del sentiment, Interacción social, Processament del llenguatge natural, Paraula clau

EOSC Subjects

Twitter Data

26 references, page 1 of 3

[1] Danah M. Boyd, Nicole B. Ellison, Social Network Sites: Definition, History, and Scholarship, Journal of Computer-Mediated Communication, Volume 13, Issue 1, 1 October 2007, Pages 210-230, https://doi.org/10.1111/j.1083-6101.2007.00393.x W.-K. Chen, Linear Networks and Systems. Belmont, Calif.: Wadsworth, pp. 123-135, 1993. (Book style)

[2] El Confidencial [elconfidencial]. (2021, 27 febrero). Descubren una miniluna, del tamaño de un coche, que orbita la Tierra [Tweet]. Twitter. https://twitter.com/elconfidencial/status/12329570399842754 56

[3] S. [InstaSamer]. (2021, 3 marzo). El chiste es tan fácil que ni voy a hacerlo [Tweet]. Twitter. https://twitter.com/InstaSamer/status/1366907573409107972

[4] Reyes, A., Rosso, P., & Buscaldi, D. (2012, 1 abril). From humor recognition to irony detection: The figurative language of social media. ScienceDirect. https://linkinghub.elsevier.com/retrieve/pii/S0169023X12000 237

[5] Saif H., He Y., Alani H. (2012) Semantic Sentiment Analysis of Twitter. In: Cudré-Mauroux P. et al. (eds) The Semantic Web - ISWC 2012. ISWC 2012. Lecture Notes in Computer Science, vol 7649. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35176-1

[6] A. Apoorv, B. Xie, I Vovsha, O Rambow, R Passonneau. (23 June 2011). Sentiment Analysis of Twitter Data. Proceedings of the Workshop on Language in Social Media (LSM 2011), pages 30-38. Association for Computational Linguistics. https://www.aclweb.org/anthology/W11-0705.pdf

[7] RedHat. (s. f.). ¿Qué es una API? Recuperado 19 de junio de 2021, de https://www.redhat.com/es/topics/api/what-areapplication-programminginterfaces#:%7E:text=Una%20API%20es%20un%20conjunto,de%20sab er%20c%C3%B3mo%20est%C3%A1n%20implementados.

[8] Poldi, F. (s. f.). TWINT - Twitter Intelligence Tool. GitHub. Recuperado 16 de junio de 2021, de https://github.com/twintproject/twint

[9] Mottl. (s. f.). Mottl/GetOldTweets3. GitHub. Recuperado 15 de abril de 2021, de https://github.com/Mottl/GetOldTweets3

[10] Roesslein, J. (2021, 30 mayo). Tweepy. Tweepy. https://www.tweepy.org/

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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