8 citations · 14 across the 5 of their papers we have counts for
5 papers
When Persona Attributes Improve Population Alignment in Large Language Models
Leon Fröhling, Jens Rupprecht, Markus Strohmaier +1
Large Language Models (LLMs) are increasingly used to predict the responses of human participants in survey panels. Towards that goal, persona prompting has recently emerged as a t…
Political Ideology Shifts in Large Language Models
Pietro Bernardelle, Stefano Civelli, Leon Fröhling +3
Large language models (LLMs) are increasingly deployed in politically sensitive contexts, raising concerns about their susceptibility to ideological biases. In this work, we examin…
Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas
Pietro Bernardelle, Leon Fröhling, Stefano Civelli +3
The analysis of political biases in large language models (LLMs) has primarily examined these systems as single entities with fixed viewpoints. While various methods exist for meas…
The Unseen Targets of Hate -- A Systematic Review of Hateful Communication Datasets
Zehui Yu, Indira Sen, Dennis Assenmacher +5
Machine learning (ML)-based content moderation tools are essential to keep online spaces free from hateful communication. Yet, ML tools can only be as capable as the quality of the…
You are a Bot! -- Studying the Development of Bot Accusations on Twitter
Dennis Assenmacher, Leon Fröhling, Claudia Wagner
The characterization and detection of bots with their presumed ability to manipulate society on social media platforms have been subject to many research endeavors over the last de…