Latest Articles

Current scholarship on elections in authoritarian regimes has focused on exploring the relationship between elections and democratization, and it has generally used analytical frameworks and methods imported from the study of genuinely democratic elections to do so. These tendencies have kept scholars from asking a wide range of questions about the micro-level dynamics of authoritarian elections and the systematic differences among them. With these issues in mind, this review examines literature that investigates the purpose of elections in dictatorships; the electoral behavior of voters, candidates, and incumbents in these elections; and the link between elections and democratization. The review ends with a call to redirect the study of authoritarian elections toward uncovering and explaining the important differences among them.

Several scholars studying the so-called authoritarian elections argue that the primary motivation for citizens to vote in the Arab world is the pursuit of individual (mostly material) interests driven by clientelism that may take the form of explicit vote-buying or granting services and privileges to electors. However, research overlooked the potential impact of citizens' evaluation of the regime's democratic level on electoral participation. The goal of this study is to fill this gap. The analysis of the eighth round of the Arab Opinion Index (2022) across nine Arab countries—Jordan, Tunisia, Algeria, Iraq, Kuwait, Lebanon, Egypt, Morocco, and Mauritania— reveals that individuals who perceive their country as more democratic are more likely to vote, regardless of objective indicators suggesting the undemocratic nature of the political system.

​Title: Legislative and Presidential Elections in Tunisia 2019: Politics, Electoral Behaviors and Elite Activism. Editor: Mehdi Mabrouk. Publisher: Doha/Beirut: Arab Center for Research and Policy Studies. Year of Publication: 2022. Page Count: 624 pages.

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 paper discusses the findings of a special opinion survey undertaken by the Arab Center for Research and Policy Studies on Arab attitudes towards the November, 2016 presidential election in the United States. American domestic politics and its impact on the Arab region have increased significantly in the new millennium, with the US invading and occupying Iraq in 2003, and becoming involved in the internationalization of conflicts in Yemen, Libya and Syria. The results presented here examine Arab public expectations of American foreign policy towards these issues and more following the 2016 elections.

The Syrian regime opted to hold presidential elections on June 3, 2014. It did this in spite of the dire social catastrophe and sharp political crisis which the country has faced since March of 2011. The race was contended by three candidates, including incumbent president Bashar Al Assad.

This study provides a reading of the implications and significance of the most recent Iranian presidential election results in light of the available numerical data. It analyses the cultural, political, and economic factors that shaped Iranian mentality within both opposition and loyalist circles. The study discusses the challenges facing the new president, Hassan Rouhani, and examines part of the political struggle over the concept of “moderation” chosen by Rouhani as a motto for his term in office. The study finds that the election results confirm the Iranian political arena’s continued reliance on the old approach in the management of its conflicts. It expects the debate over moderation to be settled in practical terms through the new government’s political performance. Settling this debate will have a huge impact on Rouhani’s relationship with Supreme Guide Ali Khamenei and influential forces in the regime, on one hand, and with loyalist and opposition political currents on the other. As such, the practical answer to the question of “moderation” will remain the determining factor for the course and outcome of Rouhani’s presidential experiment.

This research paper analyzes the internal and regional political context of the fifth Algerian presidential elections in an era of party pluralism. It observes the political phenomena witnessed during the elections by giving an interpretation of their political signification and their implication for a democratic transition. The author offers an analysis of the results and interprets the factors that governed the behavior of Algerian voters, who favored continuity over change.

Looking at the results of the mid-April 2015 presidential and parliamentary elections in Sudan, the paper reviews the changes that have occurred amid the last presidential cycle under al-Bashir (2010-2015). The election results are analyzed against a background of the South's succession when Sudan lost two-thirds of its oil revenues and entered a severe economic crisis, and a period when war erupted in the South Kordofan and the Blue Nile states, and unrest continued in the Darfur states. This will also be put into the context of a collapse of Islamist powers in Sudan, the decline of the role of the Islamic movement in the political process, President Bashir's exclusion of Islamist leaders who defected form Sheikh Hassan al-Turabi, the rise of generals to power, and their control of the leadership of the Islamic movement itself. Further, the implications of the broad boycott of the elections, the loss of trust in the national electoral commission, and the implication of the growing number of independent candidates are taken into account. Finally, the paper examines Sudan's disengagement with Iran its attempt to return to the Arab fold as a last attempt to buy additional years for the ruling regime.

​​​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.​