This study used data from the Afrobarometer Survey to compare the cultures of 85 ethnolinguistic groups from 25 African countries on markers of cultural modernization and emancipation, such as attitudes towards gender equality, xenophobia, and the role of religion in society. The study found that nearly all of the ethnolinguistic groups studied within a country clustered together in terms of their attitudes towards cultural modernization. The study also found that the variation between nations was often greater than the variation between ethnolinguistic groups, and that the cultural differences between ethnolinguistic groups within a nation were highly correlated with economic indicators such as GDP per person, employment in agriculture and the service sector, and phone subscriptions per person. The study suggests that economic development and modernization lead to cultural homogenization within a nation and a decreasing relevance of ethnolinguistic culture.

This study used data from the Afrobarometer Survey to compare the cultures of 85 ethnolinguistic groups from 25 African countries on markers of cultural modernization and emancipation, such as attitudes towards gender equality, xenophobia, and the role of religion in society. The study found that nearly all of the ethnolinguistic groups studied within a country clustered together in terms of their attitudes towards cultural modernization. The study also found that the variation between nations was often greater than the variation between ethnolinguistic groups, and that the cultural differences between ethnolinguistic groups within a nation were highly correlated with economic indicators such as GDP per person, employment in agriculture and the service sector, and phone subscriptions per person. The study suggests that economic development and modernization lead to cultural homogenization within a nation and a decreasing relevance of ethnolinguistic culture.

This paper examines the relationship of productive variation in land between ethnic groups to determine if an increased range of producible goods will increase trade, thus decreasing language diversity between neighboring groups. The author initially found that high-variation in land production lessened the diversity of language between ethnic groups in that area. To further test this correlation, the author found that high-productive variation increased trade and exogamous marriage and decreased inter-ethnic conflict. Based on these findings, the author suggests that neighboring ethnic languages co-evolved through the economic benefit of inter-ethnic trade and social interaction.

The authors examine musical diversity in India using cantometric data from 32 Indian societies with the goal of better understanding how music varies between and within cultures. They find very minor musical differences between language families, greater diversity between societies but within language families, and the most variation within societies.

Inter-group variation is greater in humans than in any other animal, and scholars continue to debate the cause of this diversity. Two competing explanatory models of human variation emphasize either (1) ecological differences and "evoked" culture or (2) population-level effects of cultural transmission. The former emphasizes mechanisms that operate within a single generation, while the latter emphasizes cumulative cultural history operating over many generations. To test these competing models, the authors measured the relative power of ecological variables as compared to culture history to predict behavioral variation in 172 western North American tribes. Culture history is subdivided into culture phylogeny (based on language phylogeny) and spatial distance.

Inter-group variation is greater in humans than in any other animal, and scholars continue to debate the cause of this diversity. Two competing explanatory models of human variation emphasize either (1) ecological differences and "evoked" culture or (2) population-level effects of cultural transmission. The former emphasizes mechanisms that operate within a single generation, while the latter emphasizes cumulative cultural history operating over many generations. To test these competing models, the authors measured the relative power of ecological variables as compared to culture history to predict behavioral variation in 172 western North American tribes. Culture history is subdivided into culture phylogeny (based on language phylogeny) and spatial distance.

The authors test the relationship between ethnolinguistic area and various environmental variables in a cross-cultural sample of hunter-gatherer, pastoral, and agricultural subsistence groups in order to evaluate various hypotheses surrounding the geographic and ecological origins of cultural diversity. They propose that societies which adopted agriculture at the beginning of the Holocene were less directly affected by climate which, combined with the effect of increasing political and cultural complexity, allowed coordination and homogenization of ethnolinguistic groups over a broader swathe of territory.

The study proposes a Bayesian modeling framework to analyze and examine the mapping between emotions and speech prosody. The models are fitted to a large collection of emotional prosody recordings, and the study reveals that the mapping varies across corpora, individuals, cultures, and sexes. The study suggests that models accounting for mapping differences across these factors outperform models assuming a global mapping.

Using a new measure called "territorial fractionalization" to indicate the extent to which traditional societies are split across current states, the authors of this study propose that fragmentation of ethnic groups and ethnonationalism is key to understanding civil conflict. They find that higher measures of territorial fractionalization significantly predict a higher risk of civil conflict, and that greater increases in territorial fractionalization also predict greater risk of civil conflict. These results hold for a global sample of data from 1945 to 2017, as well as in European and African subsamples dating back to 1886.

Using a new measure called "territorial fractionalization" to indicate the extent to which traditional societies are split across current states, the authors of this study propose that fragmentation of ethnic groups and ethnonationalism is key to understanding civil conflict. They find that higher measures of territorial fractionalization significantly predict a higher risk of civil conflict, and that greater increases in territorial fractionalization also predict greater risk of civil conflict. These results hold for a global sample of data from 1945 to 2017, as well as in European and African subsamples dating back to 1886.