Potential Abstract:
In the age of information, open data has emerged as a powerful tool for promoting transparency and accountability in various sectors, including education. However, the political dimensions of open data remain largely unexplored. This study employs an artificial intelligence genre analysis to uncover the intricate interplay between political dynamics and open data within the field of education. By examining the textual and contextual features of open data publications, this research aims to delineate the different political spheres that influence the creation, dissemination, and use of open data in education. The study draws on a diverse dataset of open data sources, including government reports, academic articles, and organizational publications, to analyze the linguistic patterns and discursive strategies employed in these texts. Through the lens of artificial intelligence, this analysis reveals how power relations, ideologies, and interests shape the production and circulation of open data in the educational landscape. The findings shed light on the ways in which open data practices are intertwined with political agendas, highlighting the complexities and challenges inherent in leveraging data for educational reform and improvement. By illuminating the political dimensions of open data, this study contributes to a deeper understanding of the socio-political implications of data-driven decision-making in education.
Potential References:
- Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
- Towards a global participatory platform: democratising open data, complexity science and collective intelligence
- Platformization: The Dangers of the Artificial Public Sphere
- Artificial intelligence for political decision-making in the European Union: Effects on citizens’ perceptions of input, throughput, and output legitimacy
- Revisiting the Black Box Society by rethinking the political economy of big data
