19 citations · 24 across the 7 of their papers we have counts for
7 papers
Bitcoin Price Direction Prediction via Regime-Aware Multi-Modal Fusion of Social Sentiment and Technical Features
Muhammad Abdullah Haroon
Bitcoin price prediction on sub-daily timescales is a hard open problem in computational finance. Bitcoin exhibits fat-tailed returns, non-stationary dynamics, and a price discover…
When Benchmarks Mislead: Shortcut Learning, Length Confounds, and the Limits of Cross-Dataset Generalization in Multilingual Fake News and Sarcasm Detection
Muhammad Abdullah Haroon
Cross-dataset generalisation is a fundamental requirement for deploying text classifiers in real-world settings, yet systematic evaluation across corpora from different sources rem…
"Whose Side Are You On?" Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
Muhammad Haroon, Magdalena Wojcieszak, Anshuman Chhabra
The rapid growth of social media platforms has led to concerns about radicalization, filter bubbles, and content bias. Existing approaches to classifying ideology are limited in th…
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
Rajvardhan Oak, Muhammad Haroon, Claire Jo +2
Social media platforms utilize Machine Learning (ML) and Artificial Intelligence (AI) powered recommendation algorithms to maximize user engagement, which can result in inadvertent…
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
Muhammad Haroon, Anshuman Chhabra, Xin Liu +3
Recommendations algorithms of social media platforms are often criticized for placing users in "rabbit holes" of (increasingly) ideologically biased content. Despite these concerns…
HARPO: Learning to Subvert Online Behavioral Advertising
Jiang Zhang, Konstantinos Psounis, Muhammad Haroon +1
Online behavioral advertising, and the associated tracking paraphernalia, poses a real privacy threat. Unfortunately, existing privacy-enhancing tools are not always effective agai…
Avengers Ensemble! Improving Transferability of Authorship Obfuscation
Muhammad Haroon, Fareed Zaffar, Padmini Srinivasan +1
Stylometric approaches have been shown to be quite effective for real-world authorship attribution. To mitigate the privacy threat posed by authorship attribution, researchers have…