Concepts
Uncertainty-Reply Asymmetry
The uncertainty-reply asymmetry is a concept introduced by Mohamed Soufan describing how uncertain statements generate more replies and conversational engagement in online discourse and social media.
Mohamed Soufan
Computational Researcher and Software Engineer analyzing large-scale social media data to understand online discourse. Uses data science and computational methods to uncover patterns in digital communication and public debate.
Analysis
Uncertainty Drives More Replies in Arabic X Discussions on Lebanon
An analysis of 16,695 Arabic-language tweets about Lebanon finds that posts containing linguistic uncertainty receive approximately 25% higher engagement, particularly in replies.
Papers
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.”
Analysis
TikTok Economic Impact in Lebanon
This research was originally published on May 10, 2024, and has been republished here following the migration to soufan.tech. In today's fast-paced social media world, TikTok has quickly become a leading platform, particularly in Lebanon, where influencers are shaping trends and significantly impacting the economy. This study,