The Structure of Participation and Attention in Arabic-Language Hezbollah Discourse on X

arXiv:2603.26681v1 Announce Type: new
Abstract: Social media platforms play an increasingly important role in shaping political discussion and information flows. This study examines the structure of participation and attention in Arabic-language discourse about Hezbollah on X (formerly Twitter). Using a dataset of 15,767 tweets posted by 8,148 users between March 1 and March 8, 2026, the analysis investigates how engagement is distributed across participants and whether certain types of accounts play a disproportionate role in attracting attention.
The results reveal a highly unequal distribution of engagement. Although thousands of users participate in the conversation, the top 1% of users capture 61.5% of all engagement, while the top 10% capture 96.2%. At the same time, most content is produced by non-media users, who account for 89.6% of users and 79.9% of tweets in the dataset. Accounts labeled as media, identified through media-related keywords in account metadata, receive higher engagement per tweet on average (41.32 interactions) than non-media users (30.84 interactions) and are overrepresented among the most engaged accounts.
These findings indicate that while Hezbollah-related discourse on X appears broadly participatory in terms of posting activity, audience attention remains strongly concentrated among a small minority of highly visible accounts.