The perversion of democracy has advanced somuch that it has become a caricature of itself.Many of the features associated with authoritarian regimes—nepotism and corruption, major inequalities and abuses of human rights, as well as the provision of a havenfor war profiteersand business criminals—are also associated with officially-labeled democratic environments. Even though democracy is superior to other regimes in terms of “self-correction” as prompted by the principles of “evaluation, political competition, and freedom of expression,” democracies have regularly trapped themselves in policies that expose bigotryanddouble standards. For example, while the West (the US, in particular) supported non-democratic regimes in its fight against Communism during the Cold War, the EU’s involvement in the Arab Spring has opened questions about whether it has eventually assisted authoritarian instead of democratic rule. Therefore, it seemsperfectly fine that the controversial FIFA awardsthe hosting of the World Cup to both democratic and authoritarian regimes, or that theNorwegian Nobel Committee repeatedly awards the Peace Prize to individuals or supranational entities with dubious performance vis-à-vis democratic postulates.
Category: Type: Research
In this category:
1. Peer-Reviewed:
Research Papers
Chapters
Conference Proceedings
2. Pre-Prints. Pre-Prints are standard in some fields. They are not always peer reviewed.
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Mediatized discourses on Europeanization in Spain
Political and media polarization has had a detrimental impact on democratic principles and democratic processes on a
global scale. In Europe, such polarization has eroded the trust in national and European institutions and has challenged the
basic values that stand at the heart of the European integration project. The aim of this study is to analyze Spanish media discourses on Europeanization, with an attempt to identify key areas in which polarizing narratives related to Europeanization
are more prevalent. To conduct our study, six national media outlets were selected based on four criteria: media format,
ownership, ideology, and consumption. A final sample of 540 news items collected between July 2021 to March 2022 was
selected for analysis. Using a qualitative methodological approach, the study was carried out in two stages. In the first
phase, we conducted a content analysis to identify the main topics discussed in relation to the European Union and the
actors represented in them. This led to the identification of polarizing narratives and discourses emerging in the context
of the discussed topics. In the second phase, we used critical discourse analysis to analyze polarizing discourses. -
Potential and perils of large language models as judges of unstructured textual data
Rapid advancements in large language models have unlocked remarkable capabilities when it comes to processing and summarizing unstructured text data. This has implications for the analysis of rich, open-ended datasets, such as survey responses, where LLMs hold the promise of efficiently distilling key themes and sentiments. However, as organizations increasingly turn to these powerful AI systems to make sense of textual feedback, a critical question arises, can we trust LLMs to accurately represent the perspectives contained within these text based datasets? While LLMs excel at generating human-like summaries, there is a risk that their outputs may inadvertently diverge from the true substance of the original responses. Discrepancies between the LLM-generated outputs and the actual themes present in the data could lead to flawed decision-making, with far-reaching consequences for organizations. This research investigates the effectiveness of LLM-as-judge models to evaluate the thematic alignment of summaries generated by other LLMs. We utilized an Anthropic Claude model to generate thematic summaries from open-ended survey responses, with Amazon’s Titan Express, Nova Pro, and Meta’s Llama serving as judges. This LLM-as-judge approach was compared to human evaluations using Cohen’s kappa, Spearman’s rho, and Krippendorff’s alpha, validating a scalable alternative to traditional human centric evaluation methods. Our findings reveal that while LLM-as-judge offer a scalable solution comparable to human raters, humans may still excel at detecting subtle, context-specific nuances. Our research contributes to the growing body of knowledge on AI assisted text analysis. Further, we provide recommendations for future research, emphasizing the need for careful consideration when generalizing LLM-as-judge models across various contexts and use cases.
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Power Preservation, No Matter the Means: Populism and Conspiracy Theory as Instruments of Political Consolidation in Serbia
This article examines the Serbian political leadership—the president and government alike—by addressing the dominant political figures’ narratives. We communicate with the theoretical aspects in the study of populism and conspiracy theories as this nexus enables us to examine the specific nature of the domestic politics in Serbia. In our view, the ruling elite complements its populist discourse with conspiracy theory to ensure its survival in power, by regularly generating fear about the threat posed to Serbian statehood and lack of apprehension for Belgrade’s geopolitical preferences and exploration of foreign policy alternatives. Our analysis fills a major gap in the literature, since there has been only sporadic research on this topic and none of it has focused on the merger of populism and conspiracy theory. The findings we have reached—largely those of the elite’s self-victimization narratives and their dissemination of anti-Western sentiments—provide for a fresh contribution to the debate concerning the power struggle and the state of democracy in Serbia, especially given the fact that the key political stakeholders draw heavily on pro-regime media outlets to readily disseminate their self-serving accounts.
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AI as a New Public Intellectual?
In a dialogue with ChatGPT, I asked if it could be considered a public intellectual.
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Data Journalism, Accountability and Transparency in Zimbabwe’s ‘New Dispensation’: Some Empirical Reflections
In this chapter, we explore the intersection of data journalism practices with issues of (governance) transparency and accountability. We advance the argument that data journalism can be instrumental in helping journalists seek accountability in opaque regimes that have an uneasy relationship with watchdog journalism. We use the Zimbabwe’s post-coup regime to demonstrate that at the centre of political authoritarianism, is a refusal to account, and a culture of non-transparency. Faced with such, the media can utilise publicly available sources of data journalism to exercise their responsibility. Data journalism is, hence, critical as a media practice that provides avenues for journalists in semi-authoritarian regimes to continuously pursue their mandates as accountability seekers. Our chapter contributes to emerging literature on data journalism in Africa, especially in semi-authoritarian contests like that of Zimbabwe.
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Louvre Abu Dhabi as a State Project: A Museum, a New Ministry, and the Politics of Culture
As the first universal museum in the Arab world, Louvre Abu Dhabi (LAD) aims to cover all aspects of human history, promoting inclusivity and openness. Despite being hailed as a symbol of tolerance and intercultural dialogue, some shortcomings and valid criticisms are evident. This study explores LAD’s artistic and political roles, as well as its contribution to social cohesion and the United Arab Emirates’ (UAE’s) readiness to address broader issues in line with the UAE Centennial Plan 2071. The analysis also delves into the responsibilities of cultural initiatives, the challenges of operating within an authoritarian context, and the necessity for policy reconsideration to achieve the UAE’s ambitious visions. The fact that LAD has undoubtedly served state interests highlights its limitation in engaging with the broader mission of museums—to address often-unpleasant political and socioeconomic matters. Moreover, the article asserts that constructive exchanges about critical issues should be embraced as opportunities rather than threats; suppressing these discussions through censorship and fear undermines the potential for growth and understanding. Thus, the study calls for a balanced approach where cultural institutions like LAD can foster dialogue and contribute meaningfully to the social and political landscape of the UAE.
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Evaluating Online AI Detection Tools: An Empirical Study Using Microsoft Copilot-Generated Content
Our findings reveal significant inconsistencies and limitations in AI detection tools, with many failing to accurately identify Copilotauthored text. Examining eight freely available online AI detection tools using text samples produced by Microsoft Copilot, we assess their accuracy and consistency. We feed a short sentence and a small paragraph and note the estimate of these tools. Our results suggest that educators should not rely on these tools to check for AI use.
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Explaining the Comparatively Less Robust Human Rights Impact of the ECOWAS Court on Legislative and Judicial Decision-making, Process, and Action in Nigeria
This article outlines and tackles two inter-related puzzles regarding the comparatively much less robust human rights impact that the ECOWAS Court (in effect, West Africa’s international human rights court) has had on the generally more democratic legislative/judicial branch of decision-making and action in Nigeria vis-à-vis the generally more authoritarian executive branch within Nigeria, the country that is the source of most of the cases filed before the court. The article then discusses and analyzes the examples and extent of the court’s human rights impact on legislative/judicial branch decision-making and action in that key country. This is followed by the development of a set of analytical, multi-factorial, explanations for the two inter-connected puzzles that animate the enquiry in this article. In the end, the article argues that several factors have combined to produce the comparatively much less robust human rights impact that the ECOWAS Court has had on domestic legislative and judicial decision-making, process, and action in Nigeria, through restricting the extent to which the latter could mobilize more robustly the court’s human rights-relevant processes and rulings.
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Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers
At this critical juncture in the development of NeuroAI, we outline challenges and training needs of junior researchers working across AI and neuroscience. We also provide advice and resources to help trainees plan their NeuroAI careers.
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Qualitative Insights Tool (QualIT): LLM Enhanced Topic Modeling
Topic modeling is a widely used technique for uncovering thematic structures from large text corpora. However, most topic modeling approaches e.g. Latent Dirichlet Allocation (LDA) struggle to capture nuanced semantics and contextual understanding required to accurately model complex narratives. Recent advancements in this area include methods like BERTopic, which have demonstrated significantly improved topic coherence and thus established a new standard for benchmarking. In this paper, we present a novel approach, the Qualitative Insights Tool (QualIT) that integrates large language models (LLMs) with existing clustering-based topic modeling approaches. Our method leverages the deep contextual understanding and powerful language generation capabilities of LLMs to enrich the topic modeling process using clustering. We evaluate our approach on a large corpus of news articles and demonstrate substantial improvements in topic coherence and topic diversity compared to baseline topic modeling techniques. On the 20 ground-truth topics, our method shows 70% topic coherence (vs 65% & 57% benchmarks) and 95.5% topic diversity (vs 85% & 72% benchmarks). Our findings suggest that the integration of LLMs can unlock new opportunities for topic modeling of dynamic and complex text data, as is common in talent management research contexts.
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Unravelling socio-technological barriers to AI integration: A qualitative study of Southern African newsrooms
This study explores the socio-technological barriers to the adoption of artificial intelligence (AI)-powered solutions in three countries of the global south – South Africa, Lesotho, Eswatini, Botswana and Zimbabwe. Through 20 in-depth interviews with key stakeholders, it examines the distribution and circulation of AI technologies within selected newsrooms. Furthermore, the article explores socio-technological obstacles to the integration of AI among journalists. Lastly, it examines the consequences of these socio-technological obstacles to journalism. The article specifically seeks to answer three questions: How are AI technologies integrated in southern African newsrooms? What are the socio-technological barriers attendant to the use of AI in selected news organisations of sub-Saharan Africa? What are the implications of these socio-technological barriers to the process of news production in these newsrooms?