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Found 14 papers, 4 papers with code
Generative AI for Hate Speech Detection: Evaluation and Findings
In addition, we explore and compare the performance of the finetuned LLMs with zero-shot hate detection using a GPT-3. 5 model.
Social World Knowledge: Modeling and Applications
In this work, we elicited the social embeddings of roughly 200K entities from a sample of 1. 3M Twitter users and the accounts that they follow.
Detecting Multidimensional Political Incivility on Social Media
The rise of social media has been argued to intensify uncivil and hostile online political discourse.
Character-level HyperNetworks for Hate Speech Detection
Our results show that the proposed HyperNetworks achieve performance that is competitive, and better in some cases, than these pretrained language models, while being smaller by orders of magnitude.
SocialVec: Social Entity Embeddings
We have learned social embeddings for roughly 200, 000 popular accounts from a sample of the Twitter network that includes more than 1. 3 million users and the accounts that they follow, and evaluate the resulting embeddings on two different tasks.
Person Entity Profiling Framework: Identifying, Integrating and Visualizing Online Freely Available Entity-Related Information
Hence, we can view any CV as a graph of interlinked entities, where nodes are entities and edges are relations between them.
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech
Automatic hate speech detection is hampered by the scarcity of labeled datasetd, leading to poor generalization.
What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult
Here we study using such LMs to fill in entities in human-authored comparative questions, like ``Which country is older, India or ______?''
Towards Hate Speech Detection at Large via Deep Generative Modeling
Hate speech detection is a critical problem in social media platforms, being often accused for enabling the spread of hatred and igniting physical violence.
