Opinion Manipulation on Farsi Twitter

TL;DR

This study investigates how inauthentic accounts manipulate opinions on Farsi Twitter, especially in divisive political discussions, revealing the role of network structures in reinforcing misinformation.

Contribution

It provides a comparative analysis of opinion manipulation across issue areas and highlights the structural mechanisms that amplify inauthentic content in Iranian political discourse.

Findings

Opinion manipulation is more prevalent in divisive political discussions.

Twitter's network structures reinforce content propagated by inauthentic clusters.

Inauthentic accounts significantly influence online narratives in Iran.

Abstract

For Iranians and the Iranian diaspora, the Farsi Twittersphere provides an important alternative to state media and an outlet for political discourse. But this understudied online space has become an opinion manipulation battleground, with diverse actors using inauthentic accounts to advance their goals and shape online narratives. Examining trending discussions crossing social cleavages in Iran, we explore how the dynamics of opinion manipulation differ across diverse issue areas. Our analysis suggests that opinion manipulation by inauthentic accounts is more prevalent in divisive political discussions than non-divisive or apolitical discussions. We show how Twitter's network structures help to reinforce the content propagated by clusters of inauthentic accounts in divisive political discussions. Analyzing both the content and structure of online discussions in the Iranian Twittersphere, this work contributes to a growing body of literature exploring the dynamics of online opinion manipulation, while improving our understanding of how information is controlled in the digital age.