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Recent academic studies, as well as media reporting, have devoted substantial attention to the ongoing “crisis of democracy.” Democratic “backsliding” of Central and Eastern Europe – sometimes referred to as an effort to establish a new system of “illiberal democracy” – is one of the most visible symptoms of this crisis. This narrative is supported by the quantitative metrics of democratic quality, reflecting professional community views on the appropriate criteria to define and assess democracy. However, once general public views expressed in the survey item of “satisfaction with democracy” are taken into account, the picture changes markedly. This chapter analyzes quantitative metrics reflecting expert community consensus and the general public assessment of the quality of democracy in the 27 EU members over the period 2010–2019. It documents substantial divergence between the perspectives of the experts and the general public – while expert-based indexes portray Central and Eastern European backsliding as the most significant trend in the EU democratic landscape, public opinion identifies a very different set of democracy's successes and failures. As experts and the general public fail to arrive at mutually accepted criteria of democratic performance evaluation, public debate has become futile. Meaningful discussion and systemic corrections have become unlikely, creating conditions easily exploitable by the populists, eager to frame it as an example of “elite” detachment from the “ordinary people”.

Drawing on social network and information diffusion theories, the authors study the impact of the structural characteristics of a seller’s local social network on her promotion effectiveness in social commerce.

The authors define a local social network as one formed by a focal seller, her directly connected users and all links among these users. Using data from a large social commerce website in China, the authors build econometric models to investigate how the density, grouping and centralization of local social networks affect the number of likes received by products posted by sellers.

Local social networks with low density, grouping and centralization are associated with more likes on sellers’ posted products. The negative effects of grouping and centralization are reduced when density is high.

The paper deepens the understanding of the determinants of social commerce success from a network structure perspective. In particular, it draws attention to the role of sellers’ local social networks, forming a foundation for future research on social commerce.