Pride occurs in every known culture, appears early in development, is reliably triggered by achievements and formidability, and causes a characteristic display that is recognized everywhere. Here, we evaluate the theory that pride evolved to guide decisions relevant to pursuing actions that enhance valuation and respect for a person in the minds of others. By hypothesis, pride is a neurocomputational program tailored by selection to orchestrate cognition and behavior in the service of: (i) motivating the costeffective pursuit of courses of action that would increase others' valuations and respect of the individual, (ii) motivating the advertisement of acts or characteristics whose recognition by others would lead them to enhance their evaluations of the individual, and (iii) mobilizing the individual to take advantage of the resulting enhanced social landscape. To modulate how much to invest in actions that might lead to enhanced evaluations by others, the pride system must forecast the magnitude of the evaluations the action would evoke in the audience and calibrate its activation proportionally. We tested this prediction in 16 countries across 4 continents (n = 2,085), for 25 acts and traits. As predicted, the pride intensity for a given act or trait closely tracks the valuations of audiences, local (mean r = +0.82) and foreign (mean r = +0.75). This relationship is specific to pride and does not generalize to other positive emotions that coactivate with pride but lack its audience-recalibrating function.pride | valuation | decision-making | emotion | culture
Does local exposure to refugees increase right-wing support? This paper studies a case uniquely suited to address this question: the allocation of refugees to the rural hinterlands of eastern Germany during the European refugee crisis. Similar to non-urban regions elsewhere, the area has had minimal previous exposure to foreigners, but distinctively leans towards the political right. Our data comprise electoral outcomes, and individual-level survey and behavioral measures. A policy allocating refugees following strict administrative rules and a matching procedure allow for causal identification. Our measurements confirm the presence of widespread anti-immigrant sentiments. However, these are unaffected by the presence of refugees in respondents’ hometowns: on average, we record null effects for all outcomes, which we interpret as supporting a sociotropic perspective on immigration attitudes. Masked by these overall null findings, we observe convergence: local exposure to refugees appears to have pulled both right- and left-leaning individuals more towards the center.
Can the diffusion of broadband internet help explain the recent success of populist parties in Europe? Populists cultivate an anti-elitist communication style, which, they claim, directly connects them with ordinary people. The internet therefore appears to be the perfect tool for populist leaders. This study shows that this notion holds up to rigorous empirical testing. Drawing on survey data from Italy and Germany, a positive correlation is found between use of the internet as a source of political information and voting for populist parties. By instrumenting internet use with broadband coverage at the municipality level, the study then demonstrates that this relationship is causal. The findings suggest that part of the rise of populism can be attributed to the effect of online tools and communication strategies made possible by the proliferation of broadband access.
What is the impact of a global health crisis on political behavior? We study the effect of the COVID-19 pandemic on electoral choice based on the case of Germany, one of the countries most heavily affected by the crisis. Our data come from the German state of Bavaria, where local elections were held right at the beginning of the pandemic. The elections took place early during the outbreak when there was still substantial variation in the extent to which individual counties and municipalities were affected by the outbreak. This variation provides a unique opportunity to study the causal impact of an event that would shortly after grow into an all-encompassing epidemic. We provide evidence that shows that the disease spread across the state in a mostly haphazard fashion. This lack of a discernible pattern coupled with within-county estimation of effects and a difference-in-differences strategy allow us to causally asses the effect of the spreading of the virus on electoral outcomes. Our results show that the crisis strongly and consistently benefited the dominant regional party, the CSU, and its candidates. For 3 known cases per 100,000 inhabitants, vote shares increased by about 4 percent. We explain our findings with a strategic-alignment mechanism, whereby voters vote into power candidates that they deem most likely to be able to solicit support from higher levels of government. Our findings emphasize the merit of forward-looking theories of voting and provide insights on the functioning of democracy during times of crisis.
Why do tax havens, whose attractiveness for foreign investors depends upon financial secrecy, agree to automatically report account data to foreign governments? From a contractualist perspective, their cooperation should be motivated by the expectation of joint gains. Prior to such agreement, however, tax havens expected outflows of foreign capital and reductions in economic activity as likely outcomes. We show that the United States (US) imposed automatic information exchange on these countries without itself participating. The result is a strongly redistributive regime that worsens the economic situation of tax havens. By means of a difference-in-differences analysis, we ascertain a substantial and statistically significant negative effect of a US sanction threat on the value of assets held by foreigners in tax havens relative to non-havens. The effect becomes stronger when the US is included in the non-haven group. The analysis confirms the US's ability to redistribute financial wealth internationally through organized hypocrisy.
Several scholars have concluded that ethnic diversity has negative consequences for social trust. However, recent research has called into question whether ethnic diversity per se has detrimental effects, or whether lower levels of trust in diverse communities simply reflect a higher concentration of less trusting groups, such as poor people, minorities, or immigrants. Drawing upon a nationally representative sample of the German population (GSOEP), we make two contributions to this debate. First, we examine how ethnic diversity at the neighborhood level–specifically the proportion of immigrants in the neighborhood–is linked to social trust focusing on the compositional effect of poverty. Second, in contrast to the majority of current research on ethnic diversity, we use a behavioral measure of trust in combination with fine-grained (zip-code level) contextual measures of ethnic composition and poverty. Furthermore, we are also able to compare the behavioral measure to a standard attitudinal trust question. We find that household poverty partially accounts for lower levels of trust, and that after controlling for income, German and non-German respondents are equally trusting. However, being surrounded by neighbors with immigrant background is also associated with lower levels of social trust.
Competition between groups is widely considered to foster cooperation within groups. Evidence from laboratory experiments hints at the existence of a proximate mechanism by which humans increase their level of cooperation with their ingroup when faced with an external threat. Further work suggests that ingroup cooperation should go along with aggressive behaviour towards the outgroup, although these theories are at odds with others that see high investments in outgroup relations as important means of stabilizing intergroup relations. Surprisingly, few of these arguments have been tested in the field, and existing studies are also limited by the lack of a direct measure of threat perception and aggressive behaviour. This study presents lab-in-the-field results from a rural context where exposure to an ethnic outgroup varies between villages. This context makes it possible to capture levels of threat perception, aggressive behaviour and cooperation without inducing intergroup competition artificially in the laboratory. All concepts are measured behaviourally. In- and outgroup cooperation was measured with a standard public goods game, and a novel experimental protocol was developed that measures perceived threat and aggressive behaviour: the threat game. The results show that levels of perceived threat, ingroup cooperation and aggressive behaviour are higher in regions more strongly exposed to ethnic outsiders. However, exposed regions also show high levels of outgroup cooperation and a concomitant lack of elevated ingroup bias. This pattern is explained by theorizing that communities show parochial altruism when faced with an ethnic outgroup, but balance aggressive behaviour with cooperative offers to diffuse tensions and to keep open channels of mutually beneficial exchange.
Do individuals reveal their true preferences when asked for their support for an ongoing war? This research note presents the results of a list experiment implemented in the midst of the Russian invasion of Ukraine. Our experiment allows us to estimate the extent of preference falsification with regard to support for the war by comparing the experimental results with a direct question. Our data comes from an online sample of 3000 Russians. Results show high levels of support for the war and significant levels of preference falsification: when asked directly, 71% of respondents support the war, while this share drops to 61% when using the list experiment. Preference falsification is particularly pronounced among individuals using TV as a main source of news. Our results imply that war leaders can pursue peace without fearing a large popular backlash, but also show that high levels of support for war can be sustained even once the brutality of the war has become clear.
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