Methodological Considerations in Semantic Polarization Research

20 Jun 2024

Dive deep into the appendix of a semantic polarization study, exploring methodological nuances and data analysis approaches in media discourse research.

Bridging the Partisan Gap: Analyzing Broadcast Media's Role in Political Divide

20 Jun 2024

Discover how linguistic cues in CNN and Fox News shape public perception and contribute to semantic polarization in media discourse

How Semantic Polarization in Broadcast Media Language Forecasts Semantic Polarity on Social Media

20 Jun 2024

Explore the causal relationship between semantic polarization trends in broadcast media language (CNN and Fox News) and social media discourse.

Words that Characterize Semantic Polarity between Fox News & CNN in 2020

20 Jun 2024

This study delves into the linguistic differences between CNN and Fox News in 2020, revealing the contextual language differences

The Evolution of Semantic Polarity in Broadcast Media Language

20 Jun 2024

Explore the evolution of semantic polarization in broadcast media language from 2010 to 2020.

Temporal Dynamics in Linguistic Polarization

20 Jun 2024

This article explores the temporal dynamics of linguistic polarization with a focus on specific keywords and semantic shifts.

Analyzing Media Polarization: How Broadcast News Language Shapes Online Discourse

20 Jun 2024

Analyzing the language dynamics between CNN and Fox News reveals how broadcast media's polarization impacts online discourse

Empirical Success in Prebunking

14 Jun 2024

Optimally delivering prebunks minimizes misinformation spread. Algorithm 3 outperforms baselines in simulations, though real-world deviations exist.

Numerical Analysis of Prebunking Algorithms

14 Jun 2024

Compare the effectiveness of prebunking algorithms in preventing misinformation spread on simulated scale-free networks using the Chung-Lu model