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Exploring Bias in Data and Models for Misinformation Detection from Text
Suzana Bašić
,
Marcio Fuckner
,
Pascal Wiggers
Responsible IT
Research output
:
Contribution to conference
›
Abstract
›
Academic
Overview
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Dive into the research topics of 'Exploring Bias in Data and Models for Misinformation Detection from Text'. Together they form a unique fingerprint.
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Keyphrases
Misinformation Detection
100%
Bias in Data
100%
News Sources
66%
Detection Method
33%
Potential Bias
33%
Feature Combination
33%
Content-based
33%
Misinformation
33%
Contextualized Word Embeddings
33%
Label-only
33%
Reliability Score
33%
Post-hoc Explanation
33%
Network Features
33%
Bag-of-words Model
33%
Metadata Features
33%
Large Language Models
33%
Fact-checking Organizations
33%
Error Analysis
33%
Model Driven Architecture
33%
News Websites
33%
Automatic Creation
33%
Text Features
33%
Detection Dataset
33%
Training Data
33%
Computer Science
Misinformation
100%
Baseline Model
25%
Model Architecture
25%
Detection Method
25%
Training Data
25%
Large Language Model
25%
SHapley Additive exPlanation
25%
Word Embedding
25%