Search Results for author:
Found 5 papers, 4 papers with code
A Big Data Architecture for Early Identification and Categorization of Dark Web Sites
The dark web has become notorious for its association with illicit activities and there is a growing need for systems to automate the monitoring of this space.
Case-Based Reasoning with Language Models for Classification of Logical Fallacies
The ease and speed of spreading misinformation and propaganda on the Web motivate the need to develop trustworthy technology for detecting fallacies in natural language arguments.
Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments
Our three-stage framework natively consolidates prior datasets and methods from existing tasks, like propaganda detection, serving as an overarching evaluation testbed.
A Study of Slang Representation Methods
Considering the large amount of content created online by the minute, slang-aware automatic tools are critically needed to promote social good, and assist policymakers and moderators in restricting the spread of offensive language, abuse, and hate speech.
Multimodal and Explainable Internet Meme Classification
In the current context where online platforms have been effectively weaponized in a variety of geo-political events and social issues, Internet memes make fair content moderation at scale even more difficult.
