×VerfasserIn
	0000-0001-5080-1752
	Universität Rostock, Institut für Politik- und Verwaltungswissenschaft

×VerfasserIn
	0000-0002-8624-537X
	LMU München, Institut für Publizistik- und Kommunikationswissenschaft

Valerian Thielicke-Witt     Ana-Nzinga Weiß     Hannah Miltzow

Generative Artificial Intelligence, Cultural Context and Discrimination Generative : Künstliche Intelligenzen, kultureller Kontext und Diskriminierung : Datensatz - Textdokumente : [research data]

University of Rostock, Ludwig-Maximilians-Universität, 2025

https://doi.org/10.18453/rosdok_id00005015

Abstract: The dataset contains data from a qualitative study on texts generated by large language models (Mistral Large Instruct, Gemma 3, DeepSeek R1, Meta Llama 3.1, Llama Sauerkraut, Qwen 3) using various comparable prompts in three different languages (German, English, French) to define diversity in order to identify political and cultural bias in the training material. Each result was generated using a new context window and the same or comparable settings between the LLMs (medium temp, top_p and the same system prompt). The process was repeated at least five times for each prompt in the respective language. In addition, the settings were experimented with in an additional run. In total, the dataset comprises more than 270 comparable documents and more than 50 experimental documents, which are stored as .rtf files and .txt files in the dataset.

Datenpublikation   Freier Zugang