TY - GEN
T1 - Analysing Moral Beliefs for Detecting Hate Speech Spreaders on Twitter
AU - Lai, Mirko
AU - Stranisci, Marco Antonio
AU - Bosco, Cristina
AU - Damiano, Rossana
AU - Patti, Viviana
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The Hate and Morality (HaMor) submission for the Profiling Hate Speech Spreaders on Twitter task at PAN 2021 ranked as the 19th position - over 67 participating teams - according to the averaged accuracy value of 73 % over the two languages - English (62 % ) and Spanish (84 % ). The method proposed four types of features for inferring users attitudes just from the text in their messages: HS detection, users morality, named entities, and communicative behaviour. In this paper, since the test set is now available, we were able to analyse false negative and false positive prediction with the aim of shed more light on the hate speech spreading phenomena. Furthermore, we fine-tuned the features based on users morality and named entities showing that semantic resources could help in facing Hate Speech Spreaders detection on Twitter.
AB - The Hate and Morality (HaMor) submission for the Profiling Hate Speech Spreaders on Twitter task at PAN 2021 ranked as the 19th position - over 67 participating teams - according to the averaged accuracy value of 73 % over the two languages - English (62 % ) and Spanish (84 % ). The method proposed four types of features for inferring users attitudes just from the text in their messages: HS detection, users morality, named entities, and communicative behaviour. In this paper, since the test set is now available, we were able to analyse false negative and false positive prediction with the aim of shed more light on the hate speech spreading phenomena. Furthermore, we fine-tuned the features based on users morality and named entities showing that semantic resources could help in facing Hate Speech Spreaders detection on Twitter.
KW - Hate Speech
KW - Moral Foundation Theory
KW - Twitter
UR - https://www.scopus.com/pages/publications/85137987095
U2 - 10.1007/978-3-031-13643-6_12
DO - 10.1007/978-3-031-13643-6_12
M3 - Conference contribution
AN - SCOPUS:85137987095
SN - 9783031136429
T3 - Lecture Notes in Computer Science
SP - 149
EP - 161
BT - Experimental IR Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the CLEF Association, CLEF 2022, Proceedings
A2 - Barrón-Cedeño, Alberto
A2 - Da San Martino, Giovanni
A2 - Faggioli, Guglielmo
A2 - Ferro, Nicola
A2 - Degli Esposti, Mirko
A2 - Sebastiani, Fabrizio
A2 - Macdonald, Craig
A2 - Pasi, Gabriella
A2 - Hanbury, Allan
A2 - Potthast, Martin
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference of the CLEF Association, CLEF 2022
Y2 - 5 September 2022 through 8 September 2022
ER -