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Hazem Ibrahim on Muck Rack

Hazem Ibrahim

As seen in: Medium, Nature, arXiv, BioRxiv, Diabetes Magazine

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Articles

Systematic partisan content skews in TikTok during the 2024 US elections

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By Hazem Ibrahim, Hyunseok Jang, Nouar AlDahoul, Aaron Kaufman, Talal Rahwan, Yasir Zaki
| Nature Verified
Abstract Social media platforms increasingly mediate political information exposure, yet the role of algorithmic curation in shaping political exposure remains contested1,2. This question is difficult to resolve on platforms in which users retain substantial control over their feeds3,4. The ‘For You’ feed of TikTok, which delivers content almost entirely through algorithmic recommendation, offers a setting in which user agency is sharply constrained.
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Schadenfreude in the Digital Public Sphere: A cross-national and decade-long analysis of Facebook news engagement

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By Muhammad A. Fareed, Hazem Ibrahim, Majd Mahmutoglu, Hajra Tarar
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2509.08306] Who Gets Seen in the Age of AI? Adoption Patterns of Large Language Models in Scholarly Writing and Citation Outcomes

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By Hazem Ibrahim, Nouar AlDahoul, Talal Rahwan, Farhan Kamrul
| arXiv
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