Algorithmic personalization of news and social media content aims to improve user experience; however, there is evidence that this filtering can have the unintended side effect …
S Lee, J Kim, D Kim, KJ Kim, E Park - Applied Mathematics and …, 2023 - Elsevier
Research on media bias has been primarily conducted a number of times of news outlets referred on political news articles, but nonpolitical articles can still convey media bias that …
J Lee, J Cha, E Park - Telematics and Informatics, 2023 - Elsevier
With the advancement of the internet, the public now has easy access to news from various media outlets. However, a number of news outlets tend to report their content based on their …
As civil discourse increasingly takes place online, misinformation and the polarization of news shared in online communities have become ever more relevant concerns with real …
Media bias is a multi-faceted construct influencing individual behavior and collective decision-making. Slanted news reporting is the result of one-sided and polarized writing …
J Park, RD Ellezhuthil, J Isaac, C Mergerson… - Proceedings of the 15th …, 2023 - dl.acm.org
Multiple recent efforts have used large-scale data and computational models to automatically detect misinformation in online news articles. Given the potential impact of …
Content-based news recommenders learn words that correlate with user engagement and recommend articles accordingly. This can be problematic for users with diverse political …
Analyzing ideology and polarization is of critical importance in advancing our grasp of modern politics. Recent research has made great strides towards understanding the …
The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance …