Papers
67 papers found
A Metric Learning Approach to Misogyny Categorization
Juan Manuel Coria, Sahar Ghannay, Sophie Rosset et al.
Annotating Online Misogyny
Philine Zeinert, Nanna Inie, Leon Derczynski
A Checkpoint on Multilingual Misogyny Identification
Arianna Muti, Alberto Barrón-Cedeño
Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection
Giuseppe Attanasio, Debora Nozza, Eliana Pastor et al.
“Female Astronaut: Because sandwiches won’t make themselves up there”: Towards Multimodal misogyny detection in memes
Smriti Singh, Amritha Haridasan, Raymond Mooney
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation
Brooklyn Sheppard, Anna Richter, Allison Cohen et al.
From Laughter to Inequality: Annotated Dataset for Misogyny Detection in Tamil and Malayalam Memes
Rahul Ponnusamy, Kathiravan Pannerselvam, Saranya Rajiakodi et al.
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
Arianna Muti, Federico Ruggeri, Cagri Toraman et al.
An Expert Annotated Dataset for the Detection of Online Misogyny
Ella Guest, Bertie Vidgen, Alexandros Mittos et al.
Re-examining Sexism and Misogyny Classification with Annotator Attitudes
Aiqi Jiang, Nikolas Vitsakis, Tanvi Dinkar et al.
BANMIME : Misogyny Detection with Metaphor Explanation on Bangla Memes
Md Ayon Mia, Akm Moshiur Rahman Mazumder, Khadiza Sultana Sayma et al.
The “r” in “woman” stands for rights. Auditing LLMs in Uncovering Social Dynamics in Implicit Misogyny
Arianna Muti, Chris Emmery, Debora Nozza et al.
Down the Toxicity Rabbit Hole: A Framework to Bias Audit Large Language Models with Key Emphasis on Racism, Antisemitism, and Misogyny
Arka Dutta, Adel Khorramrouz, Sujan Dutta et al.
What is Beneath Misogyny: Misogynous Memes Classification and Explanation
Kushal Kanwar, Dushyant Singh Chauhan, Gopendra Vikram Singh et al.
Annotating Online Misogyny
Philine Zeinert, Nanna Inie, Leon Derczynski
SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification
Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi et al.
TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models
Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R et al.
HateU at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification
Ayme Arango, Jesus Perez-Martin, Arniel Labrada
JRLV at SemEval-2022 Task 5: The Importance of Visual Elements for Misogyny Identification in Memes
Jason Ravagli, Lorenzo Vaiani
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification
Andrei Paraschiv, Mihai Dascalu, Dumitru-Clementin Cercel
UniBO at SemEval-2022 Task 5: A Multimodal bi-Transformer Approach to the Binary and Fine-grained Identification of Misogyny in Memes
Arianna Muti, Katerina Korre, Alberto Barrón-Cedeño
I2C at SemEval-2022 Task 5: Identification of misogyny in internet memes
Pablo Cordon, Pablo Gonzalez Diaz, Jacinto Mata et al.