The research team, led by Yuting Zhang, set out to test a question borrowed from organizational psychology and applied to the political arena. In workplaces, employees manage the impressions colleagues form of them through two broad families of tactics. Promotive tactics highlight achievements, competence, and positive outcomes, painting the actor in an aspirational light. Protective tactics, by contrast, defend against blame, offering excuses, justifications, or apologies when things go wrong. Governments, the researchers reasoned, deploy the same repertoire when they broadcast policy successes or explain away failures, and young audiences steeped in social media may be especially sensitive to these signals.

To disentangle cause from correlation, the team combined a controlled experiment with a large-scale survey, a methodological pairing that allows each approach to shore up the weaknesses of the other. In the experimental phase, participants were randomly exposed to government messages framed as either promotive or protective impression management, and their subsequent trust in government was measured. The survey phase then captured naturally occurring perceptions of government communication among a broader youth sample, along with measures of the psychological mechanisms and cultural values the researchers believed would moderate the effects.

The experimental results were unambiguous on the first question: both types of tactics increased youth trust in government. When young participants read government communications that emphasized accomplishments and capability, their trust rose. When the communications instead acknowledged problems and offered protective framing—explaining constraints, taking responsibility, or contextualizing setbacks—trust rose as well. Neither strategy was inherently superior; both moved the needle, suggesting that the act of strategic self-presentation itself, regardless of direction, engages citizens’ evaluative machinery in ways that silence or generic messaging does not.

But the study’s most intriguing contribution lies in the mechanism it identified. Drawing on the philosopher John Rawls’s concept of an overlapping consensus—the area of agreement that emerges when people with different values and worldviews nonetheless converge on shared principles—the researchers proposed that impression management works by building this consensus between the government and its young audience. When a government message resonates with what youth already believe is fair, competent, or legitimate, it creates a zone of moral overlap. The survey data supported this pathway statistically: the relationship between both promotive and protective tactics and trust in government was mediated by overlapping consensus, meaning the tactics boosted trust at least partly by convincing young people that government and citizen share common ground.

Culture, it turns out, decides which tactic works best for whom. The researchers measured two dimensions of cultural values at the individual level, adapted from Hofstede’s classic framework: collectivism, the tendency to prioritize group harmony and in-group loyalty over individual goals, and long-term orientation, a future-focused perspective that values persistence, thrift, and sustained effort over immediate gratification. These two values played strikingly different moderating roles for the two tactic types.

Collectivism amplified the power of promotive impression management. Among young Chinese participants who scored high on collectivism, the positive relationship between achievement-focused government messaging and overlapping consensus was significantly stronger, which in turn produced a larger indirect boost to trust. This makes intuitive sense: citizens who see themselves as part of a collective enterprise are more receptive to narratives of shared accomplishment and national progress, and promotive messages tap directly into that identity. For this group, a government showcasing what it has built and achieved reads not as bragging but as reporting on a common project they belong to.

Long-term orientation produced a result the researchers did not anticipate. The original hypothesis predicted that a strong future orientation would weaken the effectiveness of protective impression management, on the logic that forward-looking individuals might be impatient with excuses and defensive framing. The data said the opposite. Long-term orientation strengthened the positive relationship between protective tactics and overlapping consensus, and the indirect effect on trust was stronger at higher levels of this value. One plausible interpretation is that young people who think in long horizons are more willing to accept that governments face constraints, trade-offs, and delayed payoffs, and therefore find protective explanations—acknowledging difficulties while committing to eventual resolution—to be credible rather than evasive. Rather than dismissing defensive communication, patient, future-oriented youth appear to read it as evidence of prudence.

The findings arrive amid a rich literature documenting China’s distinctive trust landscape. Previous surveys have shown that political trust in China is often hierarchical, with citizens expressing more confidence in the central government than in local authorities, and that trust levels shift across birth cohorts as generational experiences diverge. Scholars have also documented how Chinese officials actively construct their public image online, and how government microblogs worked to sustain trust during the COVID-19 pandemic. The new study adds a psychological micro-foundation to this macro picture: it specifies not only that government communication matters, but through what cognitive route and under which cultural conditions it matters most.

For practitioners, the implications are concrete. Governments seeking to rebuild credibility with skeptical young audiences should not choose between boasting and apologizing—both can work—but should instead match the tactic to the audience’s cultural profile. Achievement-oriented messaging gains traction with collectivist youth, while candid, protective communication resonates with those who take the long view. More fundamentally, the study suggests that the goal of government communication should not be persuasion in the shallow sense but the cultivation of overlapping consensus: demonstrating that government actions align with values young citizens already hold. Whether these dynamics, observed in the Chinese context, generalize to societies with different media environments and political cultures remains an open question, and the authors note that fostering consensus and accounting for cultural differences among youth groups offers practical guidance for governments everywhere. As trust in institutions becomes a defining political currency of the digital age, the psychology of how governments present themselves—and how young citizens decode those presentations—may prove as consequential as the policies being presented.

Subject of Research: The effects of government impression management tactics on youth trust in government in China, mediated by overlapping consensus and moderated by cultural values

Article Title: The influence of government impression management on youth trust in government: evidence from China

Article References: Zhang, Y., Guo, J., Wang, F., Pan, Y., & Wen, H. (2026). The influence of government impression management on youth trust in government: evidence from China. Current Psychology, 45(17), Article 1434. https://doi.org/10.1007/s12144-026-09907-8

Image Credits: AI Generated

DOI: 10.1007/s12144-026-09907-8

Keywords: government trust, impression management, youth, China, overlapping consensus, collectivism, long-term orientation, political psychology, cultural values, government communication, Current Psychology, trust in government

The research team, led by Qingyu Gao and colleagues, combined Hofstede’s cultural scores with the Government AI Readiness Index published by Oxford Insights, which evaluates countries across government, technology sector, and data and infrastructure pillars. Because cultural values are time-invariant over the study window, the authors employed a random effects panel model, a standard econometric approach for handling characteristics that do not change over time. The final sample covered 61 countries with complete data on all five cultural dimensions examined: power distance, individualism, uncertainty avoidance, masculinity, and long-term orientation. Control variables included internet usage, government expenditure, GDP per capita, population, and unemployment, with missing values imputed using a random forest algorithm.

Three cultural dimensions emerged as decisive. Masculinity, which reflects a society’s emphasis on competition, assertiveness, and achievement, was negatively associated with government AI adoption, with each unit increase predicting a 0.082 unit decrease in readiness. Uncertainty avoidance, the degree to which societies feel threatened by ambiguity and unpredictability, showed a similar inhibitory effect, reducing readiness by 0.076 units per unit increase. In contrast, long-term orientation, the tendency to prioritize future goals over immediate gratification, was the strongest positive predictor, adding 0.13 units of AI readiness per unit increase and reaching statistical significance at the 0.001 level. Power distance and individualism, by comparison, showed no significant effects.

The masculinity result is perhaps the most counterintuitive. Earlier research on e-government had often found masculinity to be a minor or statistically insignificant factor, and one might expect performance-driven, competitive cultures to leap at technologies promising measurable gains. But the authors argue that AI is fundamentally different from earlier digital upgrades. Successful AI adoption demands long-term investment, cross-domain collaboration, and ethical co-governance, qualities that sit uneasily with a cultural orientation toward immediate, controllable competitive wins. AI also carries risks of bias, inequity, and unintended social consequences, and a governance ethos grounded in cooperation and concern for citizen well-being, characteristic of feminine cultures, appears better suited to managing them.

Uncertainty avoidance operates through a more intuitive channel. AI is a radical innovation that raises ethical dilemmas, regulatory ambiguity, and value conflicts, so governments must tolerate experimentation and learn from trial and error. Societies that prize stability and rules tend to perceive such technologies as risky or disruptive, and their decision makers emphasize control and predictability over bold experimentation. The study’s heterogeneity analysis sharpened this picture: the negative effect of uncertainty avoidance was most pronounced in countries with high internet usage, where mature technological infrastructure lowers perceived reliance on AI while heightening concerns about its potential to disrupt existing security frameworks.

Beyond direct effects, the researchers probed a mediating mechanism using Baron and Kenny’s causal step method, supplemented by Sobel tests. Governance effectiveness, drawn from the World Bank’s Worldwide Governance Indicators and lagged by two years to capture temporal effects, proved to be a key pathway. Masculinity and uncertainty avoidance both significantly reduced governance effectiveness, while long-term orientation enhanced it. Governance effectiveness, in turn, strongly promoted AI adoption. Notably, it fully mediated the relationships between masculinity and AI adoption and between uncertainty avoidance and AI adoption, and partially mediated the long-term orientation pathway. In other words, culture does not simply push governments toward or away from AI; it shapes the institutional quality that makes AI integration feasible in the first place.

The heterogeneity analyses revealed that cultural influence is context-dependent in surprising ways. Stratifying countries by GDP per capita at a 20,000 dollar threshold, the team found that the negative effects of masculinity and uncertainty avoidance were stronger in high-income countries, while the positive effect of long-term orientation was concentrated in low-income countries, where resource constraints make long-term strategic planning essential for rationalizing AI investment. The authors suggest that wealthy nations with robust welfare systems and egalitarian gender roles may find traditional masculine norms of competition and control particularly detrimental, and that their sophisticated technological expectations generate heightened concerns about AI security and privacy.

Employment and connectivity conditions further modulated the picture. In high-unemployment countries, power distance showed a significant negative effect on AI adoption, plausibly because governments preoccupied with joblessness and political stability can use centralized authority to reject disruptive technologies. In low-unemployment countries, individualism and long-term orientation turned significantly positive, while uncertainty avoidance remained a brake. Meanwhile, in low internet usage countries, power distance and long-term orientation showed positive effects, suggesting that nations with limited technical capacity may actually benefit from centralized strategic planning and sustained long-term guidance to jumpstart AI development. A significant positive effect of long-term orientation on AI adoption was observed specifically in the cohort combining low income, low unemployment, and low internet usage.

Methodologically, the study reframes AI adoption as a dynamic, process-oriented phenomenon rather than a binary adopt-or-not decision. By using AI readiness as the dependent variable, the authors align with recent scholarship showing that governments that appear well positioned to adopt AI do not always succeed, and that adoption unfolds across initial, assessment, decision, management, and optimization stages. This operationalization matters because failed AI deployments in the public sector can produce bureaucratic dysfunction or even systemic collapse, as documented in cases such as automated debt recovery systems. Readiness, encompassing tangible resources, human capital, and intangible institutional capacity, captures the preparedness that determines whether AI initiatives take root or wither.

The authors acknowledge limitations. Hofstede’s framework, while widely validated, does not cover all countries, restricting generalizability, and its static scores cannot capture cultural evolution over time. Cross-national regressions also face omitted variable bias, and factors such as religion or legal traditions were not modeled. Still, the practical implications are considerable. Policymakers seeking to accelerate government AI adoption may need culturally adapted strategies: institutional designs that reorient competitive, short-term policy cultures toward long-term strategic development, and governance reforms that build the effectiveness through which cultural values ultimately flow. As AI reshapes public administration worldwide, this study suggests that the most important infrastructure may not be silicon, but shared values.

Subject of Research: The influence of Hofstede's national culture dimensions on government artificial intelligence adoption across countries

Article Title: Sailing with the cultural winds: the impact of National culture on government AI adoption

Article References: Gao, Q., Wang, S., Liang, Z., Wang, G., & Guo, L. (2025). Sailing with the cultural winds: the impact of National culture on government AI adoption. Global Public Policy and Governance, 5(3), 251-273. https://doi.org/10.1007/s43508-025-00122-y

Image Credits: AI Generated

DOI: 10.1007/s43508-025-00122-y

Keywords: artificial intelligence, government AI adoption, national culture, Hofstede, AI readiness, governance effectiveness, public sector innovation, uncertainty avoidance, long-term orientation, cross-national study, e-government, public policy