Zobrazeno 1 - 10
of 27 982
pro vyhledávání: '"media bias"'
Autor:
Verma, Preetika, Jaidka, Kokil
In this paper, we introduce the MediaSpin dataset aiming to help in the development of models that can detect different forms of media bias present in news headlines, developed through human-supervised and -validated Large Language Model (LLM) labeli
Externí odkaz:
http://arxiv.org/abs/2412.02271
Autor:
Horych, Tomas, Mandl, Christoph, Ruas, Terry, Greiner-Petter, Andre, Gipp, Bela, Aizawa, Akiko, Spinde, Timo
High annotation costs from hiring or crowdsourcing complicate the creation of large, high-quality datasets needed for training reliable text classifiers. Recent research suggests using Large Language Models (LLMs) to automate the annotation process,
Externí odkaz:
http://arxiv.org/abs/2411.11081
Autor:
Menzner, Tim, Leidner, Jochen L.
We present improved models for the granular detection and sub-classification news media bias in English news articles. We compare the performance of zero-shot versus fine-tuned large pre-trained neural transformer language models, explore how the lev
Externí odkaz:
http://arxiv.org/abs/2412.11835
Autor:
Marcovitz, Hal
Media bias can take many different forms. It can be seen in stories that favor one side over another. It can be seen in story placement. It can even be seen in whether a story gets covered at all. This book examines what media bias looks like, the da