TY - GEN
T1 - I love to hate! The Racist hate Speech in Social Media
AU - Miranda, Sandra
AU - Malini, Fábio
AU - Di Fatima, Branco
AU - Cruz, Jorge
N1 - Publisher Copyright:
© The Authors, (2022). All Rights Reserved. No reproduction, copy or transmission may be made without written permission from the individual authors.
PY - 2022
Y1 - 2022
N2 - It is undeniable that, nowadays, hate speeches have flourished, they have become every day, banal and available to everyone. The interaction allowed by the use of devices, the potential of ICT and Social Media, formed a new participatory culture and contributed to rethinking social dynamics. The supposed illusion of anonymity and the rapid dissemination of narratives and images opened space for the proliferation of p hateful discourses against minority groups, such as those of a racist nature. This research intends to study, from the Digital Social Networks (DSN), the communicational flows of racist hate speeches in Portugal. Specifically, we propose to diagnose racist hate speech in the DSN; understand and characterize the narratives that support the spread of racist hate speech in DSN; and analyze which content and hate narratives generate more engagement in DSN; In this study, a mixed convergent methodology will be adopted. The quantitative approach will combine the use of digital methods with the analysis of social networks and graph theories. There will be 2 panels of 2 social networks (Facebook and Instagram), totaling 24 months of data collection. The qualitative approach will resort to the content analysis of the comments. In terms of results, we intend to strengthen scientific production in the area and develop a barometer on racist hate speech in Portugal.
AB - It is undeniable that, nowadays, hate speeches have flourished, they have become every day, banal and available to everyone. The interaction allowed by the use of devices, the potential of ICT and Social Media, formed a new participatory culture and contributed to rethinking social dynamics. The supposed illusion of anonymity and the rapid dissemination of narratives and images opened space for the proliferation of p hateful discourses against minority groups, such as those of a racist nature. This research intends to study, from the Digital Social Networks (DSN), the communicational flows of racist hate speeches in Portugal. Specifically, we propose to diagnose racist hate speech in the DSN; understand and characterize the narratives that support the spread of racist hate speech in DSN; and analyze which content and hate narratives generate more engagement in DSN; In this study, a mixed convergent methodology will be adopted. The quantitative approach will combine the use of digital methods with the analysis of social networks and graph theories. There will be 2 panels of 2 social networks (Facebook and Instagram), totaling 24 months of data collection. The qualitative approach will resort to the content analysis of the comments. In terms of results, we intend to strengthen scientific production in the area and develop a barometer on racist hate speech in Portugal.
KW - digital social networks
KW - engagement
KW - Hate speech
KW - racism
UR - http://www.scopus.com/inward/record.url?scp=85147505000&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85147505000
T3 - 9th European Conference on Social Media, ECSM 2022
SP - 137
EP - 145
BT - 9th European Conference on Social Media, ECSM 2022
A2 - Lupa-Wojcik, Iwona
A2 - Czyzewska, Marta
PB - Academic Conferences and Publishing International Limited
T2 - 9th European Conference on Social Media, ECSM 2022
Y2 - 12 May 2022 through 13 May 2022
ER -