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	<title>Euroscepticism &#8211; Science</title>
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	<title>Euroscepticism &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Why Populism Keeps Winning in Central and Eastern Europe: New Research Traces the Causes</title>
		<link>https://scienmag.com/why-populism-keeps-winning-in-central-and-eastern-europe-new-research-traces-the-causes/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Fri, 16 Oct 2026 07:25:07 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Bulgaria]]></category>
		<category><![CDATA[causes of populism in Eastern Europe]]></category>
		<category><![CDATA[Central and Eastern Europe]]></category>
		<category><![CDATA[challenges to traditional political models]]></category>
		<category><![CDATA[democracy]]></category>
		<category><![CDATA[Euroscepticism]]></category>
		<category><![CDATA[historical influences on populist movements]]></category>
		<category><![CDATA[Hungary]]></category>
		<category><![CDATA[impact of populism on democracy]]></category>
		<category><![CDATA[media's role in populist discourse]]></category>
		<category><![CDATA[migration narratives]]></category>
		<category><![CDATA[normalization]]></category>
		<category><![CDATA[Poland]]></category>
		<category><![CDATA[political communication]]></category>
		<category><![CDATA[political science]]></category>
		<category><![CDATA[political science theories on populism]]></category>
		<category><![CDATA[populism]]></category>
		<category><![CDATA[populism as discursive style and strategy]]></category>
		<category><![CDATA[Populism in Central and Eastern Europe]]></category>
		<category><![CDATA[populist parties in Romania Bulgaria Hungary Poland]]></category>
		<category><![CDATA[regional variations in populist success]]></category>
		<category><![CDATA[role of political entrepreneurs in populism]]></category>
		<category><![CDATA[Romania]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=283082</guid>

					<description><![CDATA[A new editorial in Frontiers in Political Science argues that populism in Central and Eastern Europe is not an automatic product of history but the result of political agency, discursive construction, and institutional normalization.]]></description>
										<content:encoded><![CDATA[<p>Populism has moved from the margins of political science to the center of the discipline over the past two decades, and nowhere is this shift more visible than in Central and Eastern Europe. A new editorial published in Frontiers in Political Science by Ildiko Otova and Evelina Staykova of New Bulgarian University brings together a collection of studies that examine why populist parties, movements, and discourses have taken root so deeply across the region, and what their normalization means for the quality of democracy. The editorial frames a Research Topic that spans Romania, Bulgaria, Hungary, and Poland, and it arrives at a conclusion that challenges both popular and academic assumptions: the region&#8217;s history does not automatically produce populism, but it supplies the raw material that political entrepreneurs can activate.</p>
<p>The editors begin by situating populism within the major theoretical approaches that have dominated the field. Scholars have variously treated populism as a thin ideology, as a discursive style that divides society into a pure people and a corrupt elite, as a political strategy employed by charismatic leaders, and as a performative political style communicated through media and spectacle. Yet, as Otova and Staykova argue, no single model can fully account for the manifestations of populism in Central and Eastern Europe. The region&#8217;s political development has been shaped by diverse nation-building processes, a shared but specific legacy of authoritarianism and communism, the turbulence of democratic transition, the demands of European integration, and persistent geopolitical pressures. These conditions are significant, the editorial insists, but they are not automatic causes. They acquire political significance only through processes of agency, articulation, and institutionalization.</p>
<p>One of the central methodological contributions comes from a study of Romania that criticizes the field&#8217;s tendency to treat populism as a purely contemporary phenomenon. The author introduces the concept of populist configurations, a framework that situates conditions, institutions, actors, and events within a single analytical structure and across historical time. This approach is particularly suited to Central and Eastern Europe, where state formation, contested sovereignty, external domination, and successive regime transformations have repeatedly reshaped the political landscape. Using the Romanian case, the study constructs a typology, a timeline, and an illustrative example of a populist anti-Semitism configuration, demonstrating how historical grievances and exclusionary narratives can be reactivated and repackaged by modern political actors. The aim is not to identify a single historical trajectory but to replace ahistorical explanations with a comparative and configurational approach that accounts for the diversity, persistence, and transformation of populism both within the region and beyond it.</p>
<p>A second Romanian study shifts the analytical lens from history to contemporary political communication, examining media coverage of protests and parliamentary debates between 2020 and 2024. Rather than assuming a straightforward cause-and-effect relationship between street mobilization and parliamentary populism, the researchers analyzed elements such as people-centredness, anti-elitism, exclusionary othering, claims of sovereignty, and crisis framing across both civic and institutional spheres. The findings are striking: there is no consistent pattern of populist themes spreading from protests to parliament or vice versa. Instead, the study reveals a pattern the authors call parallel politicisation. Parliamentary discourse discusses populist themes in a stable and routine manner, while protest communication is irregular, fragmented, and heavily dependent on specific events. The limited temporal and semantic connection between these arenas suggests that populist politicization can persist independently of continuous transmission between civic and institutional spaces.</p>
<p>This finding carries significant implications for how scholars and policymakers understand the resilience of populist discourse. If populism becomes embedded in the routine communication practices of political institutions, it can survive and even flourish even when civic mobilization is sporadic. The study challenges simple supply-side models, which locate the engine of populism in opportunistic elites, and demand-side models, which attribute it to grievances among voters. Both models, the evidence suggests, are incomplete. Routine political communication itself plays a crucial role in maintaining populist framing, meaning that the normalization of populist language can proceed quietly within parliaments regardless of what happens in the streets.</p>
<p>The Bulgarian case, analyzed by the editors themselves, addresses the question of normalization directly. Their analysis argues that since 2001, populist ideas and practices have become enduring features of the Bulgarian political system rather than episodic disruptions. The proposed typology distinguishes between anti-elitist and nationalist orientations, and between analog and digital forms of populist communication. Migration narratives emerge as one key mechanism through which normalization unfolds. Crucially, the analysis shows that crisis cannot be reduced to demographic scale alone; it is politically and discursively produced. Through what the authors describe as the politics of fear, migration is constructed as an existential threat, while the people are elevated to the status of a morally privileged object of protection. This form of radical demophilia, a politics that claims to speak for and protect the authentic people, can legitimize exclusionary policies and erode liberal norms, all while wrapping itself in the language of democratic care.</p>
<p>Hungary offers a related but distinct perspective on threat construction through the concept of the imported enemy. The 2015 migration crisis, often cited as the turning point that propelled right-wing populism to dominance in the country, is reframed here as less a primary cause and more a catalyst that triggered pre-existing identity-related anxieties amid an already normalized hostility. The study demonstrates how a marginalized or numerically rare group can become a powerful object of fear when state discourse, legal measures, media campaigns, and normative prejudices converge to transform it into a symbol of cultural danger, loss of sovereignty, and national vulnerability. Long-standing anti-Roma prejudices are significant in this regard, forming part of an established pattern of exclusion that predates the migration debate. Once such mechanisms are institutionalized, they can normalize exclusion and cement the boundaries of belonging and citizenship within a moralized understanding of us and them.</p>
<p>The Polish case, examined through the lens of Brexit, provides an original analytical framework for assessing the likelihood of a populist-led exit from the European Union in other member states. Applying this framework to Poland under the Law and Justice government, the study examines the country&#8217;s structural positioning within the EU, including its economic dependence on the bloc, the absence of constitutional enshrinement of its EU membership, and the government&#8217;s efforts to provoke legal conflict with EU institutions while promoting populist Eurosceptic narratives across the Union. By comparing the trajectory of Brexit with the hypothetical possibility of Polexit, the researchers differentiate among three elements: political agency, structural distance, and inherited structure. All three must be present simultaneously for an exit process to become possible, yet political agency emerges as the decisive factor. Poland proves particularly instructive, because strong public support for EU membership coexisted with a government that strategically cultivated antagonism toward EU institutions.</p>
<p>Taken together, the studies in this Research Topic analyze the historical, discursive, political, and institutional processes that convert existing conditions into populist politics and help normalize them. The collective picture that emerges is one in which Central and Eastern Europe should not be viewed as regions inherently prone to populism, a framing that risks essentializing the region and obscuring the contingent political work that populism requires. Instead, the editors present these countries as ideal cases for studying how populism integrates into history, is politically mediated by actors and institutions, is reproduced through routine communication, becomes normalized over time, and ultimately impacts democracy and its quality. The editorial&#8217;s contribution lies in shifting the analytical question from why populism happens in this region to how it is made, sustained, and embedded, a reframing with consequences that extend well beyond the borders of Central and Eastern Europe.</p>
<p><strong>Subject of Research:</strong> The causes and normalization of populism in Central and Eastern Europe</p>
<p><strong>Article Title:</strong> Editorial: Populism&#x27;s rise in Eastern and Central Europe: causes and implications</p>
<p><strong>Article References:</strong> Otova, I., &amp; Staykova, E. (2026). Editorial: Populism&#x27;s rise in Eastern and Central Europe: causes and implications. <em>Frontiers in Political Science, 8</em>, Article 2003619. <a href="https://doi.org/10.3389/fpos.2026.2003619" rel="noopener noreferrer">https://doi.org/10.3389/fpos.2026.2003619</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.3389/fpos.2026.2003619" rel="noopener noreferrer">10.3389/fpos.2026.2003619</a></p>
<p><strong>Keywords:</strong> populism, Central and Eastern Europe, political science, normalization, migration narratives, Euroscepticism, Hungary, Poland, Romania, Bulgaria, democracy, political communication</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">283082</post-id>	</item>
		<item>
		<title>Who Trusts AI in Europe? Class and Government Views Shape Public Opinion</title>
		<link>https://scienmag.com/who-trusts-ai-in-europe-class-and-government-views-shape-public-opinion/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Mon, 05 Oct 2026 12:34:14 +0000</pubDate>
				<category><![CDATA[Social Science]]></category>
		<category><![CDATA[AI policy implementation in Europe]]></category>
		<category><![CDATA[AI regulation]]></category>
		<category><![CDATA[AI trust in Europe]]></category>
		<category><![CDATA[algorithmic governance]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[citizen participation]]></category>
		<category><![CDATA[demographic differences in AI trust]]></category>
		<category><![CDATA[Eurobarometer]]></category>
		<category><![CDATA[European attitudes towards AI safety and ethics]]></category>
		<category><![CDATA[European public opinion on AI]]></category>
		<category><![CDATA[European Union]]></category>
		<category><![CDATA[European Union AI regulation]]></category>
		<category><![CDATA[Euroscepticism]]></category>
		<category><![CDATA[impact of public trust on AI regulation]]></category>
		<category><![CDATA[policy implementation]]></category>
		<category><![CDATA[public perception]]></category>
		<category><![CDATA[public perception of artificial intelligence]]></category>
		<category><![CDATA[public trust]]></category>
		<category><![CDATA[role of public trust in AI governance]]></category>
		<category><![CDATA[science engagement]]></category>
		<category><![CDATA[skepticism towards AI among Europeans]]></category>
		<category><![CDATA[social class]]></category>
		<category><![CDATA[societal fault lines in AI acceptance]]></category>
		<category><![CDATA[trust in government AI oversight]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=238004</guid>

					<description><![CDATA[A new study of Eurobarometer data shows that Europeans with lower trust in EU institutions and lower social class are the most skeptical of artificial intelligence, and that transparent citizen engagement may be the key to closing the gap.]]></description>
										<content:encoded><![CDATA[<p>The European Union has staked its technological future on a bold wager: that it can become the world&#8217;s first-mover in artificial intelligence by writing the rules that everyone else will eventually follow. But a new study suggests that the success of this regulatory project may hinge on something far less glamorous than legal drafting — whether ordinary Europeans actually trust the technology and the governments that oversee it. Research published in the journal Global Public Policy and Governance by Colt Jensen of Georgia Southern University and Charlie Chen of Appalachian State University draws on large-scale survey data to map exactly which groups of EU residents are most skeptical of AI, and the results reveal fault lines that policymakers cannot afford to ignore.</p>
<p>The study rests on a deceptively simple premise drawn from democratic theories of policy implementation: laws and regulations succeed more often when the administrators who carry them out understand the distinctive characteristics and demands of the governed. Applied to artificial intelligence, this means the EU&#8217;s ambitious AI agenda — including its landmark regulatory framework — depends on knowing which citizens view the technology with suspicion and why. If large segments of the public distrust AI, or distrust the institutions deploying and regulating it, compliance becomes harder, public resistance grows, and the promised benefits of first-mover adoption may never materialize.</p>
<p>To answer the question, the researchers turned to Eurobarometer 95.2, a survey conducted in 2021 that measured European citizens&#8217; knowledge of and attitudes toward science and technology during the COVID-19 pandemic. Eurobarometer surveys are the European Commission&#8217;s standard instrument for gauging public opinion across member states, and the 95.2 wave included detailed questions about how respondents perceived the impacts of AI on society and the economy. The dataset and all question wording are publicly available, allowing the authors to test associations between demographic characteristics, institutional attitudes, science engagement, and AI perceptions across the Union.</p>
<p>The central findings are striking in their clarity. Individuals who hold positive views of EU-level governments tend to hold more favorable views of artificial intelligence. This association matters enormously in the European context, because it is precisely the EU institutions — the Commission, the Parliament, and the member-state regulators acting under EU law — that serve as the primary AI regulators. A citizen who is skeptical of Brussels is, in effect, skeptical of the referee assigned to police the technology. The study thus links a well-documented phenomenon in European politics, the persistence of Euroscepticism, directly to the emerging politics of algorithmic governance.</p>
<p>Equally significant is the role of social class. The researchers found that people in higher social classes tend to have more positive perceptions of AI&#8217;s impacts. This class gradient echoes a long tradition in social science research showing that policy attitudes are stratified by socioeconomic position, and it raises uncomfortable questions about who stands to benefit from the AI transition. If working-class and lower-income Europeans view artificial intelligence with greater suspicion — perhaps because they perceive greater risks to their jobs, their communities, and their autonomy — then a top-down regulatory strategy crafted largely by and for educated elites risks deepening existing divides rather than bridging them.</p>
<p>The third pillar of the study concerns engagement with science and technology. Respondents who attended science museums and public meetings about science were associated with more favorable views of AI, as were those who expressed a preference for involving non-experts in scientific decision-making. This latter finding is particularly intriguing: it suggests that people who believe ordinary citizens should have a voice in science policy are not reflexively anti-technology. Instead, participation itself appears to breed confidence. Exposure to scientific institutions and ideas, whether through a museum visit or a town-hall discussion, seems to demystify technologies like AI and soften public apprehension.</p>
<p>Taken together, these findings expose a dual trust deficit that threatens the implementation of existing EU AI policies. On one side stands a class divide, in which the populations most likely to be affected by automation and algorithmic decision-making express the least enthusiasm for the technology. On the other side stands an institutional divide, in which citizens who distrust the EU and national governments extend that distrust to the AI systems those governments are charged with overseeing. The authors argue that both deficits pose genuine problems for policy implementation, because democratic legitimacy is not merely a matter of passing well-designed legislation — it requires that the governed accept and support what is being done in their name.</p>
<p>The remedy the study proposes is procedural rather than technological. By transparently engaging citizens in meetings on the topic of AI, and by including non-experts in the development of AI use cases, governments may be able to improve public views of the technology. This recommendation aligns with a growing body of research on transparency and trust, which has found that explaining how automated decisions are made can increase the perceived trustworthiness of algorithmic systems, and that transparency in government generally strengthens citizens&#8217; confidence in public institutions. It also resonates with the citizen-science movement, which has demonstrated that involving laypeople in genuine research activities builds both scientific literacy and goodwill toward scientific institutions.</p>
<p>The stakes of getting this right extend well beyond Europe&#8217;s borders. The EU has positioned itself as a global standard-setter in AI governance, and its regulatory approach is already influencing lawmakers in other jurisdictions. But regulatory leadership is fragile if domestic publics are not on board. Previous technology policy debacles — from troubled government website rollouts to public backlash against automated decision systems in welfare administration — illustrate how quickly implementation can falter when citizens perceive systems as opaque, imposed, or unaccountable. The study&#8217;s findings suggest that the EU&#8217;s first-mover advantage depends as much on sustained public engagement as on legislative craftsmanship.</p>
<p>For the scientists and policymakers watching this space, the message is clear: artificial intelligence governance is not only a technical or legal challenge but a social one. The people least trusting of AI in Europe are those with less confidence in government and lower social standing, and the most promising path to winning them over runs through transparency, participation, and genuine inclusion of non-expert voices in shaping how AI is used. If the EU can close these trust deficits, it may yet convert its regulatory ambition into democratic legitimacy — and if it cannot, the first-mover advantage it seeks may prove elusive, no matter how sophisticated its rulebook becomes.</p>
<p><strong>Subject of Research:</strong> Public trust in artificial intelligence and its implications for EU AI policy implementation</p>
<p><strong>Article Title:</strong> Governing AI in the EU: public perception, policy dilemmas, and the path forward</p>
<p><strong>Article References:</strong> Jensen, C., &amp; Chen, C. (2025). Governing AI in the EU: public perception, policy dilemmas, and the path forward. <em>Global Public Policy and Governance, 5</em>(2), 162-185. <a href="https://doi.org/10.1007/s43508-025-00114-y" rel="noopener noreferrer">https://doi.org/10.1007/s43508-025-00114-y</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s43508-025-00114-y" rel="noopener noreferrer">10.1007/s43508-025-00114-y</a></p>
<p><strong>Keywords:</strong> artificial intelligence, European Union, public trust, AI regulation, Eurobarometer, social class, Euroscepticism, science engagement, policy implementation, citizen participation, algorithmic governance, public perception</p>
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