TY - JOUR
T1 - HaSpeeDe3 at EVALITA 2023
T2 - 8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop, EVALITA 2023
AU - Lai, Mirko
AU - Celli, Fabio
AU - Ramponi, Alan
AU - Tonelli, Sara
AU - Bosco, Cristina
AU - Patti, Viviana
N1 - Publisher Copyright:
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2023
Y1 - 2023
N2 - The Hate Speech Detection (HaSpeeDe3) task is the third edition of a shared task on the detection of hateful content in Italian tweets. It differs from the previous editions while maintaining continuity in analysing and contrasting hate speech (HS) on social media. While HaSpeeDe and HaSpeeDe2 were focused on HS against immigrants, Muslims and Roms, HaSpeeDe3 explores hate speech in strong polarised debates, concerning in particular politics and religion. It is articulated in two different tasks: A) In-domain political hate speech detection and B) Cross-domain hate speech detection about political and religious tweets. Task A consists in two different subtasks for which participants i) can only use the provided textual content of the tweet, or ii) can additionally employ contextual information about the tweet and its author. In Task B, that consists in two subtasks, participants are allowed to use any kind of external data for detecting hate speech in tweets about i) politics and ii) religion. Six teams from both academia and industry participated in the evaluation, with a total of 13 submitted runs for Task A and 16 for Task B.
AB - The Hate Speech Detection (HaSpeeDe3) task is the third edition of a shared task on the detection of hateful content in Italian tweets. It differs from the previous editions while maintaining continuity in analysing and contrasting hate speech (HS) on social media. While HaSpeeDe and HaSpeeDe2 were focused on HS against immigrants, Muslims and Roms, HaSpeeDe3 explores hate speech in strong polarised debates, concerning in particular politics and religion. It is articulated in two different tasks: A) In-domain political hate speech detection and B) Cross-domain hate speech detection about political and religious tweets. Task A consists in two different subtasks for which participants i) can only use the provided textual content of the tweet, or ii) can additionally employ contextual information about the tweet and its author. In Task B, that consists in two subtasks, participants are allowed to use any kind of external data for detecting hate speech in tweets about i) politics and ii) religion. Six teams from both academia and industry participated in the evaluation, with a total of 13 submitted runs for Task A and 16 for Task B.
KW - Hate speech detection
KW - polarised debates
KW - political hate speech
KW - religious hate speech
KW - shared task
KW - social media analysis
UR - http://www.scopus.com/inward/record.url?scp=85173569480&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85173569480
SN - 1613-0073
VL - 3473
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 7 September 2023 through 8 September 2023
ER -