Advances in Large Language Models and Political Discourse Analysis

The field of natural language processing is witnessing significant developments in the analysis of political discourse, with a growing focus on the detection of biases and the understanding of geopolitical influences. Recent studies have highlighted the importance of critically assessing AI-generated content, particularly in politically sensitive contexts, and have demonstrated the potential of large language models (LLMs) to shape public discourse. Notably, research has shown that LLMs can be used to simulate authentic patient communication styles in healthcare, offering transformative potential for medical education. Furthermore, the use of LLMs in coding democracy indicators has been explored, although it has been found that these models can introduce new biases and attitudes. The analysis of toxic political discourse has also been a significant area of research, with studies revealing a marked increase in toxic discourse among political elites in Western countries. Some noteworthy papers in this area include:

  • A study on analyzing Islamophobic discourse using semi-coded terms and LLMs, which sheds light on the global spread of Islamophobia and its online dissemination.
  • A paper on leveraging LLMs for the coding of democracy indicators, which highlights the potential and limitations of using these models in this context.
  • Research on the use of LLMs to simulate authentic patient communication styles in healthcare, which demonstrates the potential of these models to enhance medical education.

Sources

Through the LLM Looking Glass: A Socratic Self-Assessment of Donkeys, Elephants, and Markets

Echoes of Power: Investigating Geopolitical Bias in US and China Large Language Models

Analyzing Islamophobic Discourse Using Semi-Coded Terms and LLMs

Outsourcing an Information Operation: A Complete Dataset of Tenet Media's Podcasts on Rumble

"Whose Side Are You On?" Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection

Beyond the Script: Testing LLMs for Authentic Patient Communication Styles in Healthcare

Large Language Models Are Democracy Coders with Attitudes

Elite Political Discourse has Become More Toxic in Western Countries

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