Machine-Learning media bias
We present an automated method for measuring media bias. Inferring which newspaper published a given article, based only on the frequencies with which it uses different phrases, leads to a conditional probability distribution whose analysis lets us automatically map newspapers and phrases into a bias space. By analyzing roughly a million articles from roughly a hundred newspapers for bias in dozens of news topics, our method maps newspapers into a two-dimensional bias landscape that agrees well with previous bias classifications based on human judgement. One dimension can be interpreted as traditional left-right bias, the other as establishment bias. This means that although news bias is inherently political, its measurement need not be.
Code (0)
등록된 구현이 없습니다.
Tasks
ArticlesBIG-bench Machine LearningSimilar Papers 제목 키워드 기반
Inference of Media Bias and Content Quality Using Natural-Language Processing
Media bias can significantly impact the formation and development of opinions and sentiments in a population. It is thus important to study the emergence and development of partisan media and political polarization. Howe…
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches
Computational methods to model political bias in social media involve several challenges due to heterogeneity, high-dimensional, multiple modalities, and the scale of the data. Political bias in social media has been stu…
BIG-bench Machine LearningThe Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
The way the media presents events can significantly affect public perception, which in turn can alter people's beliefs and views. Media bias describes a one-sided or polarizing perspective on a topic. This article summar…
Bias DetectionSystematic Literature ReviewModeling Political Orientation of Social Media Posts: An Extended Analysis
Developing machine learning models to characterize political polarization on online social media presents significant challenges. These challenges mainly stem from various factors such as the lack of annotated data, pres…
Few-Shot LearningUncovering Gender Bias in Media Coverage of Politicians with Machine Learning
This paper presents research uncovering systematic gender bias in the representation of political leaders in the media, using artificial intelligence. Newspaper coverage of Irish ministers over a fifteen year period was …
BIG-bench Machine Learning