TL;DR
This research demonstrates that applying linguistically native AI models is critical for accurate sociological inference in the Russophone world, bridging the gap between machine learning precision and cultural hermeneutics.
Natural Language Processing (NLP) technologies-ranging from topic models to today's large language models like GPT-have rapidly entered the social sciences, reshaping methodological practice. Yet researchers often overlook the stark political-economic contrasts between academia and the AI research-industry symbiosis. I...
TSN4PI, a unified framework for tracking the evolution of political ideologies on social media, includes two core modules: the PIDN and the PIPN, which employs temporal graph neural networks to predict future ideological shifts, enabling comprehensive analysis of ideology presence, intensity, and evolution.
This paper presents a comprehensive contrastive-statistical study of the structural localization, sociolinguistic distribution, and morphosemantic adaptation of Internet slang in English and Uzbek virtual discourse. While previous research in digital linguistics has primarily focused on European languages, this study a...
Today most media content is consumed based on algorithmic recommendations. Evidence suggests that this can lead to politically biased media consumption patterns. Automated extraction of political agendas from texts can reveal and analyze political biases in online media -- and thus help fostering politically unbiased m...
Political polarization is increasingly expressed through discursive strategies that construct moral and symbolic boundaries between “us” and “them”. Among these strategies, othering is particularly important because it portrays sociopolitical groups as fundamentally different, inferior, or threatening. However, despite...
The present study examines the patterns of algorithmic amplification on social media space to deceive public opinions and preferences, known as political astroturfing—a process practiced by political parties, non-state actors and interest groups that fake grassroots support for and against a particular cause, in realit...
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