The structure of social media platforms allows us to extract meaningful information regarding the dynamics and relationships of real-world actors. In this paper, we used Twitter data to better understand the landscape of news organizations in Portugal and the Philippines through network science techniques. Our findings showed similarities and differences between the two countries. For instance, we found higher levels of similarity in tweet content across news outlets in Portugal. However, in terms of retweeter behavior, we found more polarization on the Philippine news outlets.

We gratefully acknowledge financial support from FCT -Fundação para a Ciência e a Tecnologia (Portugal), national funding through research grant UIDB/04521/2020. This work is also supported by national funds through PhD grant (UI/BD/153587/2022) supported

twitter,sna,network communities,news,network science,behaviour

• Computer and Information Sciences - Natural Sciences
• Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
• Political Science - Social Sciences
• Media and Communications - Social Sciences