151 citations · 193 across the 52 of their papers we have counts for
56 papers
Evaluating Decision Models for Text Annotation in Computational Social Science
Hazem Ibrahim, Yasir Zaki
Computational social science increasingly relies on large language models for text annotation, and the validity of published findings now rests on the labels generated by such mode…
The illusion of neutrality in metric-based research evaluation
Fengyuan Liu, Hazem Ibrahim, Yasir Zaki +1
Venue prestige and citation counts are two widely used, albeit imperfect, signals of research quality. When the two signals conflict, evaluators must decide how much weight to assi…
Understanding AI Provider Recommendations in Local Service Markets
Hazem Ibrahim, Yasir Zaki
When someone asks an AI assistant which doctor to see or which firm to trust with their savings, the answer is a referral. We audit AI provider recommendations in four registry-bac…
Informational Help-Seeking on Reddit Did Not Decline After ChatGPT
Hazem Ibrahim, Yasir Zaki
Did people stop asking other people for advice online once generative AI could answer their questions? Prior work on ChatGPT's effect on online help-seeking disagrees in both size…
Chance, Persistent Advantage, and the Generative-AI Era in Open-Source Package Careers
Hazem Ibrahim, Yasir Zaki
Studies of careers in science, film, music, and books report a common pattern. When a person's most successful work arrives is close to a random draw over the works they produce. H…
Price Dislocations, News Citations, and Epistemic Leverage on Polymarket
Hazem Ibrahim, Yasir Zaki
Prediction-market probabilities increasingly appear in news coverage, yet little is known about which market movements become news or how much trading money sits behind the numbers…
Bias at the Borderline: Who Gets the Benefit of the Doubt in Peer Review?
Hazem Ibrahim, Talal Rahwan, Yasir Zaki
We study peer review at ICLR, a large machine-learning conference whose complete review record, including rejected submissions, is public. Reviewers score each submission; for the…
On-Screen Inertia: Persistent Racial and Gender Disparities in Hollywood Film (1900-2024)
Hazem Ibrahim, Talal Rahwan, Yasir Zaki +1
Hollywood has diversified its casts. Whether this has translated into structural change in how those actors are positioned within narratives remains largely unexamined. Drawing on…
(Mis-)Informed Consent: Predatory Apps and the Exploitation of Populations with Limited Literacy
Muhammad Muneeb Pervez, Muhammad Qasim Atiq Ullah, Ibrahim Ahmed Khan +6
Among populations with limited literacy in emerging digital markets, the adoption of mobile phones, combined with comprehension barriers and poor cybersecurity hygiene, has created…
Schadenfreude in the Digital Public Sphere: A Cross-National, Decade-Long Analysis of Facebook News Engagement
Nouar Aldahoul, Hazem Ibrahim, Majd Mahmutoglu +4
Pleasure at the misfortune of others, or schadenfreude, is widely believed to have become a routine feature of online news audiences, yet its prevalence and social patterning have…
Toward a Safer Web: Multilingual Multi-Agent LLMs for Mitigating Adversarial Misinformation Attacks
Nouar Aldahoul, Yasir Zaki
The rapid spread of misinformation on digital platforms threatens public discourse, emotional stability, and decision-making. While prior work has explored various adversarial atta…
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…
Not All Visitors are Bilingual: A Measurement Study of the Multilingual Web from an Accessibility Perspective
Masudul Hasan Masud Bhuiyan, Matteo Varvello, Yasir Zaki +1
English is the predominant language on the web, powering nearly half of the world's top ten million websites. Support for multilingual content is nevertheless growing, with many we…
Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models
Nouar AlDahoul, Yasir Zaki
The rise of social media and online communication platforms has led to the spread of Arabic textual posts and memes as a key form of digital expression. While these contents can be…
Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks
Nouar AlDahoul, Yasir Zaki
Recent progress in large language models (LLMs) has showcased impressive proficiency in numerous Arabic natural language processing (NLP) applications. Nevertheless, their effectiv…
Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance Cases
Nouar AlDahoul, Yasir Zaki
Islamic inheritance domain holds significant importance for Muslims to ensure fair distribution of shares between heirs. Manual calculation of shares under numerous scenarios is co…
Towards Next Generation Immersive Applications in 5G Environments
Rohail Asim, Ankit Bhardwaj, Lakshmi Suramanian +1
The Multi-user Immersive Reality (MIR) landscape is evolving rapidly, with applications spanning virtual collaboration, entertainment, and training. However, wireless network limit…
Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks
Ankit Bhardwaj, Rohail Asim, Sachin Chauhan +2
Free-flow road networks, such as suburban highways, are increasingly experiencing traffic congestion due to growing commuter inflow and limited infrastructure. Traditional control…
Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs
Essa Jan, Moiz Ali, Muhammad Saram Hassan +2
As the knowledge of large language models (LLMs) becomes outdated over time, there is a growing need for efficient methods to update them, especially when injecting proprietary inf…
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…
PixLift: Accelerating Web Browsing via AI Upscaling
Yonas Atinafu, Sarthak Malla, HyunSeok Daniel Jang +3
Accessing the internet in regions with expensive data plans and limited connectivity poses significant challenges, restricting information access and economic growth. Images, as a…