507 citations · 1.6k across the 46 of their papers we have counts for
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Who Gets Seen in the Age of AI? Adoption Patterns of Large Language Models in Scholarly Writing and Citation Outcomes
Farhan Kamrul Khan, Hazem Ibrahim, Nouar Aldahoul +2
The rapid adoption of generative AI tools is reshaping how scholars produce and communicate knowledge, raising questions about who benefits and who is left behind. We analyze over…
Causal evidence of racial and institutional biases in accessing paywalled articles and scientific data
Hazem Ibrahim, Fengyuan Liu, Khalid Mengal +4
Scientific progress depends on researchers' ability to access and build upon the work of others. Yet, much published work remains behind expensive paywalls, and even accessible art…
SONIC: Cost-Effective Web Access for Developing Countries
Ayush Pandey, Rohail Asim, Jean Louis K. E. Fendji +3
Over 2.6 billion people remain without access to the Internet in 2025. This phenomenon is especially pronounced in developing regions, where cost and infrastructure limitations are…
The Political Ideology of Large Language Models: Measurement, Inconsistency, and Persuasive Influence
Nouar Aldahoul, Hazem Ibrahim, Aaron R. Kaufman +2
Large Language Models (LLMs) are a transformational technology, fundamentally changing how people obtain information and interact with the world. As people become increasingly reli…
Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles
Chen Wei Kuo, Kevin Chu, Nouar AlDahoul +3
Bias in news reporting significantly impacts public perception, particularly regarding crime, politics, and societal issues. Traditional bias detection methods, predominantly relia…
TikTok's recommendations skewed towards Republican content during the 2024 U.S. presidential race
Hazem Ibrahim, HyunSeok Daniel Jang, Nouar Aldahoul +3
TikTok is a major force among social media platforms with over a billion monthly active users worldwide and 170 million in the United States. The platform's status as a key news so…