Journal of Countries Studies

Journal of Countries Studies

Iranians' emotional expression on social media and its impact on audience engagement

Document Type : Original

Authors
1 Broadcast and Electronic Communication Arts, San Francisco State University, United States.
2 Department of Iranian Studies, Faculty of World Studies, University of Tehran, Tehran, Iran.
3 Department of Communication, Faculty of Social Sciences, University of Tehran, Tehran, Iran.
Abstract
This study explores the role of emotional language in shaping audience engagement on social media, with a specific focus on Persian-language discourse on Platform X. With a pragmatic approach and using a dataset of 18,900 social media posts spanning four diverse topics— diplomatic events, cultural celebrations, media controversies, and student perspectives— this research applies sentiment analysis and statistical modeling to examine how emotional intensity influences user interactions. Our findings reveal that posts expressing anger generate the highest levels of engagement, while happy sentiments also contribute positively. Conversely, extreme negativity, such as furious expressions, tends to reduce engagement. Additionally, the study highlights the role of polarized discussions in attracting user attention, with politically charged and controversial topics outperforming others. A Generalized Linear Model (GLM) with a Tweedie distribution confirms the significant impact of emotional language, demonstrating that heightened emotional intensity correlates with increased audience responses. The study also considers the implications of emotional language for misinformation, polarization, and digital discourse quality.
Keywords
Subjects

حوزة موضوعی: ایران

Scope: Iran

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Articles in Press, Accepted Manuscript
Available Online from 21 July 2026

  • Receive Date 15 April 2026
  • Revise Date 18 May 2026
  • Accept Date 02 June 2026
  • First Publish Date 21 July 2026
  • Publish Date 21 July 2026