Politus Dataset Tracks Turkish Political Opinion Using Privacy-Preserving AI – Bioengineer.org
Politus Dataset Tracks Turkish Political Opinion Using Privacy-Preserving AI
Researchers have presented the Politus Dataset, an open-access political public opinion database from Turkey published in EPJ Data Science. Developed to advance computational social science, the project leverages social media data alongside artificial intelligence methodologies to evaluate political public sentiment across both time and geographic location.
To analyze digital communications, the framework integrates deep learning, natural language processing, and large language models with social scientific conceptualization. This computational architecture is designed to identify and track critical political indicators across the population, including ideological orientations, demographic attributes, and job approval ratings for political leaders.
A primary objective of the methodology is addressing measurement and representation errors that commonly affect public opinion research derived from social media platforms. The authors apply computational social science techniques to mitigate measurement errors while employing statistical methods, specifically Multilevel Regression with Poststratification, to adjust the sample and enhance overall representativeness.
Alongside opinion modeling, the dataset incorporates formal privacy-preserving safeguards to protect individual user information while retaining analytical data utility. The researchers implemented differential privacy within the processing workflow, ensuring adherence to statutory privacy frameworks including the General Data Protection Regulation.
By combining machine learning architectures with social science methodologies and privacy mechanisms, the Politus Dataset provides granular observations of Turkish political opinion dynamics across time and geography. The authors report that the interdisciplinary framework contributes substantively to both computational public opinion research and privacy preservation scholarship.
Formally titled Enlighty Politus, the open-access database was released in EPJ Data Science on August 17, 2026. The peer-reviewed study was made available through early publication with a permanent digital object identifier ahead of its final Version of Record.
Subject of Research: Computational social science dataset of Turkish political public opinion using privacy-preserving artificial intelligence
Article Title: Enlighty Politus: a political public opinion dataset from social media in Turkey processed with privacy-preserving AI
Article References: Yörük, E., Hürriyetoğlu, A., Kına, M. F., Duruşan, F., Yardı, M. C., Atsızelti, Ş., Etgü, T., Delen, E., Gürsoy, M. E., Yıldız, Ö., Koyuncu, M., & Mutlu, O. (2026). Enlighty Politus: a political public opinion dataset from social media in Turkey processed with privacy-preserving AI. EPJ Data Science. https://doi.org/10.1140/epjds/s13688-026-00682-x
Image Credits: AI Generated
DOI: 10.1140/epjds/s13688-026-00682-x
Keywords: computational social science, public opinion, social media data, artificial intelligence, differential privacy, multilevel regression with poststratification, natural language processing, large language models, Enlighty, Politus, political, public
News Source: Denise Maddox. (November 7, 2026). Politus Dataset Tracks Turkish Political Opinion Using Privacy-Preserving AI. Scienmag.
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