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Towards A Reliable Ground-Truth For Biased Language Detection

Towards A Reliable Ground-Truth For Biased Language Detection

Timo Spinde
David Krieger
Manuel Plank
Bela Gipp
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Papers citing "Towards A Reliable Ground-Truth For Biased Language Detection"

5 / 5 papers shown
Title
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
Tomas Horych
Christoph Mandl
Terry Ruas
André Greiner-Petter
Bela Gipp
Akiko Aizawa
Timo Spinde
154
7
0
17 Nov 2024
Do You Think It's Biased? How To Ask For The Perception Of Media Bias
Do You Think It's Biased? How To Ask For The Perception Of Media Bias
Timo Spinde
Christina Kreuter
W. Gaissmaier
Felix Hamborg
Bela Gipp
H. Giese
67
23
0
14 Dec 2021
TASSY -- A Text Annotation Survey System
TASSY -- A Text Annotation Survey System
K. Sinha
Kanishka Sinha
Norman Meuschke
Bela Gipp
30
16
0
14 Dec 2021
MBIC -- A Media Bias Annotation Dataset Including Annotator Characteristics
MBIC -- A Media Bias Annotation Dataset Including Annotator Characteristics
Timo Spinde
L. Rudnitckaia
K. Sinha
Felix Hamborg
Bela Gipp
K. Donnay
43
45
0
20 May 2021
Neural Based Statement Classification for Biased Language
Neural Based Statement Classification for Biased Language
C. Hube
B. Fetahu
42
63
0
14 Nov 2018

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