Tackling Online Abuse: A Survey of Automated Abuse Detection Methods

13 August 2019

Papers citing "Tackling Online Abuse: A Survey of Automated Abuse Detection Methods"

12 / 12 papers shown

Title
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges Aiqi Jiang A. Zubiaga AAML 38 3 0 17 Jan 2024
Rationale-Guided Few-Shot Classification to Detect Abusive Language Punyajoy Saha Divyanshu Sheth Kushal Kedia Binny Mathew Animesh Mukherjee 27 3 0 30 Nov 2022
Explainable Abuse Detection as Intent Classification and Slot Filling Agostina Calabrese Bjorn Ross Mirella Lapata 58 10 0 06 Oct 2022
Trigger Warnings: Bootstrapping a Violence Detector for FanFiction Magdalena Wolska Christopher Schröder Ole Borchardt Benno Stein Martin Potthast 31 9 0 09 Sep 2022
Hidden behind the obvious: misleading keywords and implicitly abusive language on social media Wenjie Yin A. Zubiaga 36 27 0 03 May 2022
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models Mithun Das Punyajoy Saha Binny Mathew Animesh Mukherjee 43 17 0 30 Apr 2022
Emotion Based Hate Speech Detection using Multimodal Learning Aneri Rana Sonali Jha 19 40 0 13 Feb 2022
Towards generalisable hate speech detection: a review on obstacles and solutions Wenjie Yin A. Zubiaga 117 165 0 17 Feb 2021
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection Bertie Vidgen Tristan Thrush Zeerak Talat Douwe Kiela 48 249 0 31 Dec 2020
HateCheck: Functional Tests for Hate Speech Detection Models Paul Röttger B. Vidgen Dong Nguyen Zeerak Talat Helen Z. Margetts J. Pierrehumbert 36 261 0 31 Dec 2020
Towards Ethics by Design in Online Abusive Content Detection S. Kiritchenko I. Nejadgholi 34 13 0 28 Oct 2020
AMUSED: An Annotation Framework of Multi-modal Social Media Data Gautam Kishore Shahi 60 39 0 01 Oct 2020