151 citations · 166 across the 18 of their papers we have counts for
22 papers
Multidimensional Political Attitudes and Polarization Across 141 Countries
Hazem Ibrahim, Aymane Omari, Aaron R. Kaufman
Societies worldwide are described as increasingly polarized, yet issue polarization -- how divided a society is over political positions -- has been measured almost entirely on a s…
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…
Auditing Differential Visibility of Political Content on TikTok
Hazem Ibrahim, Tewoflos Girmay
Allegations that TikTok shadow bans political content shape what creators post, what advertisers fund, and how regulators act, yet they are hard to adjudicate because platforms do…
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…
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…
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…
A Tale of Three Location Trackers: AirTag, SmartTag, and Tile
HyunSeok Daniel Jang, Hazem Ibrahim, Rohail Asim +2
Bluetooth Low Energy (BLE) location trackers, or "tags", are popular consumer devices for monitoring personal items. These tags rely on their respective network of companion device…
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…
Analyzing political stances on Twitter in the lead-up to the 2024 U.S. election
Hazem Ibrahim, Farhan Khan, Hend Alabdouli +4
Social media platforms play a pivotal role in shaping public opinion and amplifying political discourse, particularly during elections. However, the same dynamics that foster democ…
A Longitudinal Analysis of Racial and Gender Bias in New York Times and Fox News Images and Articles
Hazem Ibrahim, Nouar AlDahoul, Syed Mustafa Ali Abbasi +3
The manner in which different racial and gender groups are portrayed in news coverage plays a large role in shaping public opinion. As such, understanding how such groups are portr…
Inclusive content reduces racial and gender biases, yet non-inclusive content dominates popular culture
Nouar AlDahoul, Hazem Ibrahim, Minsu Park +2
Images are often termed as representations of perceived reality. As such, racial and gender biases in popular culture and visual media could play a critical role in shaping people'…
Google Scholar is manipulatable
Hazem Ibrahim, Fengyuan Liu, Yasir Zaki +1
Citations are widely considered in scientists' evaluation. As such, scientists may be incentivized to inflate their citation counts. While previous literature has examined self-cit…
Perception, performance, and detectability of conversational artificial intelligence across 32 university courses
Hazem Ibrahim, Fengyuan Liu, Rohail Asim +36
The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the incr…