This task aims to classify sexist tweets according to the author's intention, helping to understand the role social media plays in the expression and spread of sexist messages. This task proposes a ternary classification: direct, reported, judgmental. A hard-hard evaluation is included in this task, where the labels predicted by the system are compared with the gold standard labels.
Publication
Plaza, L. et al. (2024).EXIST 2024: sEXism Identification in Social neTworks and Memes. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2024. Lecture Notes in Computer Science, volume 14612
Language
Spanish
English
URL Task
NLP topic
Dataset
Year
2024
Publication link
Ranking metric
ICM
Task results
| System | ICM Sort ascending |
|---|---|
| ABCD Team_1 | 0.4059 |
| NYCU-NLP_3 | 0.3522 |
| NYCU-NLP_1 | 0.3383 |
| NYCU-NLP_2 | 0.3073 |
| CUET-SSTM_1 | 0.2883 |

