activity
20222024
most citedMultimodal and Explainable Internet Meme Classification

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2024★ 1 cited

A Big Data Architecture for Early Identification and Categorization of Dark Web Sites

Javier Pastor-Galindo, Hông-Ân Sandlin, Félix Gómez Mármol +2

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. This paper proposes…

cs.CL2023★ 1 cited

A Study of Slang Representation Methods

Aravinda Kolla, Filip Ilievski, Hông-Ân Sandlin +1

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 moderato…

cs.AI2023★ 2 cited

Case-Based Reasoning with Language Models for Classification of Logical Fallacies

Zhivar Sourati, Filip Ilievski, Hông-Ân Sandlin +1

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.…

cs.CL2022

Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments

Zhivar Sourati, Vishnu Priya Prasanna Venkatesh, Darshan Deshpande +4

The spread of misinformation, propaganda, and flawed argumentation has been amplified in the Internet era. Given the volume of data and the subtlety of identifying violations of ar…

cs.AI2022★ 5 cited

Multimodal and Explainable Internet Meme Classification

Abhinav Kumar Thakur, Filip Ilievski, Hông-Ân Sandlin +4

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 a…