logo
ResearchBunny Logo
Uncovering the essence of diverse media biases from the semantic embedding space

Computer Science

Uncovering the essence of diverse media biases from the semantic embedding space

H. Huang, H. Zhu, et al.

This study, conducted by Hong Huang, Hua Zhu, Wenshi Liu, Hua Gao, Hai Jin, and Bang Liu, reveals a groundbreaking media bias analysis framework that utilizes embedding techniques to quantify bias across diverse topics. With an analysis of over 8 million event records and 1.2 million news articles, findings indicate that media bias varies regionally and is influenced by current events, shedding light on important stereotypes like gender bias.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Collection of biospecimens from the inspiration4 mission establishes the standards for the space omics and medical atlas (SOMA)
Space Sciences

Collection of biospecimens from the inspiration4 mission establishes the standards for the space omics and medical atlas (SOMA)

E. G. Overbey, K. Ryon, et al.

Topical and emotional expressions regarding extreme weather disasters on social media: a comparison of posts from official media and the public
Political Science

Topical and emotional expressions regarding extreme weather disasters on social media: a comparison of posts from official media and the public

Z. Han, M. Shen, et al.

Daily rhythm of urban space usage: insights from the nexus of urban functions and human mobility
Social Work

Daily rhythm of urban space usage: insights from the nexus of urban functions and human mobility

F. Du, J. Wang, et al.

Exploring the dynamics of consumer engagement in social media influencer marketing: from the self-determination theory perspective
Business

Exploring the dynamics of consumer engagement in social media influencer marketing: from the self-determination theory perspective

C. Gu and Q. Duan

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny