Paper

Research papers by Mohamed Soufan in computational social science and data-driven analysis. These studies use computational methods, large-scale datasets, and statistical modeling to examine digital communication, online platforms, public discourse, and broader social phenomena. Papers are published as open-access research with summaries and links to full publications.

Smartphone displaying the X (Twitter) app feed, representing social media discussions analyzed in a computational social science study.

Paper

Linguistic Uncertainty and Engagement in Arabic-Language X Discourse

A study analyzing 16,695 Arabic-language tweets finds that posts expressing linguistic uncertainty receive significantly higher engagement, particularly replies—an effect described as “uncertainty–reply asymmetry.”