The recent research in the field of generative large language models (LLMs) and their application in political communication has revealed significant advancements and novel insights. A notable trend is the rigorous examination of LLMs, such as ChatGPT, in their capacity to mimic and analyze political speech. Researchers are delving into the linguistic features and stylistic nuances that differentiate AI-generated texts from those of human politicians, particularly in contexts of political discourse and public addresses. This work not only highlights the potential of LLMs as tools for understanding political language but also raises critical questions about authenticity, manipulation, and the ethical implications of AI in shaping public communication. The studies employ sophisticated statistical and text analysis methods to compare AI-generated content with historical and contemporary political speeches, offering a nuanced perspective on the evolving nature of political communication. Notably, these investigations are contributing to the broader discourse on the pragmatic capabilities of LLMs, suggesting that AI can be a valuable instrument for linguistic and political analysis, albeit with careful consideration of its limitations and biases.

Noteworthy Papers:

• The exploration of ChatGPT's linguistic features in relation to political speeches provides a novel lens on AI's role in political communication.
• The comparative analysis of ChatGPT-generated texts with real presidential addresses reveals distinct stylistic patterns, underscoring the need for nuanced AI usage in sensitive contexts.