Towards Hybrid Intelligence in Journalism: Findings and Lessons Learnt from a Collaborative Analysis of Greek Political Rhetoric by ChatGPT and Humans
Not on the map. Why?
Abstract (arXiv)
This chapter introduces a research project titled "Analyzing the Political Discourse: A Collaboration Between Humans and Artificial Intelligence", which was initiated in preparation for Greece's 2023 general elections. The project focused on the analysis of political leaders' campaign speeches, employing Artificial Intelligence (AI), in conjunction with an interdisciplinary team comprising journalists, a political scientist, and data scientists. The chapter delves into various aspects of political discourse analysis, including sentiment analysis, polarization, populism, topic detection, and Named Entities Recognition (NER). This experimental study investigates the capabilities of large language model (LLMs), and in particular OpenAI's ChatGPT, for analyzing political speech, evaluates its strengths and weaknesses, and highlights the essential role of human oversight in using AI in journalism projects and potentially other societal sectors. The project stands as an innovative example of human-AI collaboration (known also as "hybrid intelligence") within the realm of digital humanities, offering valuable insights for future initiatives.
Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 7 of its 28 references that are in the map. First posted on arXiv 17 Oct 2024.
Builds on
7 of 28 references.
References · 7
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,322
- 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 894
- 2023ChatGPT Outperforms Crowd-Workers for Text-Annotation Taskscited by 857
- 2023Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speechcited by 166
- 2023Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Taskscited by 89
- 2022How would Stance Detection Techniques Evolve after the Launch of ChatGPT?cited by 76
- 2020We Don't Speak the Same Language: Interpreting Polarization through Machine Translationcited by 23
Built on by
Citing papers per year: 2025: 1.
1 paper.