Mohamed Soufan
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Illustration showing uncertain posts generating more replies on X, based on a study of 2,258 English-language posts.

Publications

Uncertainty-Reply Asymmetry Replicates in English X Posts

A replication study finds that the uncertainty-reply asymmetry appears in English-language X posts across Federal Reserve policy, inflation, and electoral politics, suggesting uncertain language may invite more replies than certain statements.

23 May 2026
Graphic showing that 94.9% of Lebanon news coverage focused on conflict, while 63.1% of search demand centered on economy, living conditions, and emigration.

Publications

Media Coverage vs Public Demand in Lebanon (2026)

A data-driven comparison of media coverage and Google search behavior in Lebanon reveals a major gap between what news reports and what people seek.

21 Apr 2026
Abstract digital network with connected nodes representing online interactions and information networks.

Publications

Attention Concentration in Online Political Discussions on X

This study analyzes engagement in online political discussions on X and finds that attention is highly concentrated, with a small number of users receiving most engagement.

04 Apr 2026
Smartphone displaying the X (Twitter) app feed, representing social media discussions analyzed in a computational social science study.

Publications

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.”

11 Mar 2026
Mohamed Soufan
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