Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals

15 June 2022

Papers citing "Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals"

7 / 7 papers shown

Title
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using LLMs Rohitash Chandra Guoxiang Ren G. Houseman 46 0 0 20 Jan 2025
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification Siddhant Bikram Shah Shuvam Shiwakoti Maheep Chaudhary Haohan Wang VLM 17 9 0 23 Sep 2024
Are You Worthy of My Trust?: A Socioethical Perspective on the Impacts of Trustworthy AI Systems on the Environment and Human Society Jamell Dacon SILM 18 1 0 18 Sep 2023
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation Anaelia Ovalle Palash Goyal Jwala Dhamala Zachary Jaggers Kai-Wei Chang Aram Galstyan R. Zemel Rahul Gupta 17 61 0 17 May 2023
Perplexed by Quality: A Perplexity-based Method for Adult and Harmful Content Detection in Multilingual Heterogeneous Web Data Timm Jansen Yangling Tong V. Zevallos Pedro Ortiz Suarez 22 17 0 20 Dec 2022
What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020 Jamell Dacon Jiliang Tang 26 6 0 20 Sep 2021
Towards generalisable hate speech detection: a review on obstacles and solutions Wenjie Yin A. Zubiaga 117 164 0 17 Feb 2021