Political Communication

Political communication research investigates how political messages are created, disseminated, and received, aiming to understand their impact on public opinion and behavior. Current research focuses on analyzing diverse data modalities—including text, images, and video—using machine learning techniques like deep learning and natural language processing to detect sentiment, polarization, and the spread of misinformation across social media platforms. These analyses reveal how visual cues, language use, and even non-political online activity correlate with political leaning and influence, offering valuable insights for understanding political discourse and developing strategies for combating misinformation.