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The success and widespread deployment of artificial intelligence (AI) have raised awareness of the technology's economic, social, and political consequences. Each new step in the development and application of AI is accompanied by speculations about a supposedly imminent but largely fictional artificial general intelligence (AGI) with (super-)human capacities, as seen in the unfolding discourse about capabilities and impact of large language models (LLMs) in the wake of ChatGPT. These far- reaching expectations lead to a discussion on the societal and political impact of AI that is largely dominated by unfocused fears and enthusiasms. In contrast, this article provides a framework for a more focused and productive analysis and discussion of AI's likely impact on one specific social field: democracy. First, it is necessary to be clear about the workings of AI. This means differentiating between what is at present a largely imaginary AGI and narrow artificial intelligence focused on solving specific tasks. This distinction allows for a critical discussion of how AI affects different aspects of democracy, including its effects on the conditions of self-rule and people's opportunities to exercise it, equality, the institution of elections, and competition between democratic and autocratic systems of government. This article shows that the consequences of today's AI are more specific for democracy than broad speculation about AGI capabilities implies. Focusing on these specific aspects will account for actual threats and opportunities and thus allow for better monitoring of AI's impact on democracy in an interdisciplinary effort by computer and social scientists.

​​This essay argues for a paradigm shift in the study of the Internet and digital/social media. Big data analytics is the dominant paradigm. It receives large amounts of funding, is administrative and a form of digital positivism. Critical social media research is an alternative approach that combines critical social media theory, critical digital methods and critical-realist social media research ethics. Strengthening the second approach is a material question of power in academia.

​​​This study examines virtual public reactions on X regarding BRICS expansion to include three Arab countries: Egypt, Saudi Arabia, and the United Arab Emirates. It uses a deep learning approach for sentiment analysis to understand reactions expressed by individuals in the 22 Arab League countries. The study aims to understand public opinion towards this expansion and assess how it was received at the bottom-internal level. Given the difficulty of measuring public opinion in non-democratic contexts, the study tracks public reaction to the expansion on X. Tweets from August 24, 2023, to January 7, 2024, are analyzed. The methodology involves collecting a large dataset of tweets, cleansing and tokenizing the data, and attributing sentiment scores using specialized Arabic text-processing tools. The results are presented through data visualization and machine learning models, ensuring a comprehensive analysis while addressing ethical considerations. The findings indicate that public sentiment is predominantly neutral (38.91%), compared to positive (31.72%) and negative (30.09%). This highlight concerns about education, political disengagement, and the technical limitations of applying a data science approach to political science research. It also suggests the inherent challenges of using this method to reflect internalization or engagement in the way surveys and referenda can.​

​Drawing on data from the 2024/ 2025 Arab Opinion Index, this paper explores evolving public attitudes toward social media across 14 Arab countries. It examines how individuals use digital platforms to acquire and engage with news as well as political and social discourse, especially in the context of ongoing regional conflicts. The findings reveal high levels of reliance on social media for information, alongside growing concerns about misinformation, censorship, and cultural harm. Despite widespread support for content regulation, many continue to use these platforms for discussing political and social issues. The paper underscores the complexity of digital awareness and engagement in the Arab region and calls for more qualitative research to unpack public views on censorship, freedom of expression, and the impact of social media on political awareness and democratic values.

​​ Original title: Hyperconnectivity and Its Discontents.