The Language of Influence: Sentiment, Emotion, and Hate Speech in State Sponsored Influence Operations
Ashfaq Ali Shafin, Khandaker Mamun Ahmed

TL;DR
This study analyzes 2 million tweets from China, Iran, and Russia to uncover how each nation employs distinct sentiment and emotional strategies in influence operations to manipulate public opinion and achieve geopolitical goals.
Contribution
It provides a detailed linguistic and emotional analysis of state-sponsored influence campaigns, revealing nation-specific propaganda patterns on social media.
Findings
Russian campaigns use negative sentiment and toxic language to polarize.
Iranian operations mix antagonistic and supportive tones to incite conflict.
Chinese influence emphasizes positive sentiment and neutral rhetoric to shape perceptions.
Abstract
State-sponsored influence operations (SIOs) have become a pervasive and complex challenge in the digital age, particularly on social media platforms where information spreads rapidly and with minimal oversight. These operations are strategically employed by nation-state actors to manipulate public opinion, exacerbate social divisions, and project geopolitical narratives, often through the dissemination of misleading or inflammatory content. Despite increasing awareness of their existence, the specific linguistic and emotional strategies employed by these campaigns remain underexplored. This study addresses this gap by conducting a comprehensive analysis of sentiment, emotional valence, and abusive language across 2 million tweets attributed to influence operations linked to China, Iran, and Russia, using Twitter's publicly released dataset of state-affiliated accounts. We identify…
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