works on

From the 1 of 16 linked papers with an AI index.

activity
20242026
collaborators

16 papers

cs.DL2026

Bias at the Borderline: Who Gets the Benefit of the Doubt in Peer Review?

Hazem Ibrahim, Talal Rahwan, Yasir Zaki

The paper analyzes ICLR peer‑review data to examine whether authors from prestigious institutions, certain countries, or all‑male teams receive more favorable discretionary decisio…

cs.DL2026

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…

cs.SI2026

Schadenfreude in the Digital Public Sphere: A cross-national and decade-long analysis of Facebook news engagement

Nouar Aldahoul, Hazem Ibrahim, Majd Mahmutoglu +4

Schadenfreude, or the pleasure derived from others' misfortunes, has become a visible and performative feature of online news engagement, yet little is known about its prevalence,…

cs.CY2026

(Mis-)Informed Consent: Predatory Apps and the Exploitation of Populations with Limited Literacy

Muhammad Muneeb Pervez, Muhammad Qasim Atiq Ullah, Ibrahim Ahmed Khan +5

Among populations with limited literacy in emerging digital markets, the adoption of mobile phones, combined with comprehension barriers and poor cybersecurity hygiene, has created…

cs.DL2025

Current policies governing editorial conflicts of interest are ineffective

Fengyuan Liu, Bedoor AlShebli, Talal Rahwan

Research-active editors face a potential conflict of interest (COI) when handling submissions from authors who share the same affiliation or those who recently collaborated with th…

cs.CE2025

Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds

Minwu Kim, Sidahmed Benabderrahmane, Talal Rahwan

This research presents a predictive model to identify potential targets of activist investment funds--entities that acquire significant corporate stakes to influence strategic and…