ArticleFrontiers in psychology2022
Does Internet Connect to Social Justice Perception in China?
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Public interest in biodiversity and climate change: A comparative culturomics study of China and the UK.PloS one · 2026Article
- Internet use and social trust: empirical analysis based on CGSS2021.Frontiers in sociology · 2024Article
- How does the Internet enhance the subjective well-being of elderly individuals in China?Frontiers in psychology · 2022Article
- How do digital lives affect resident mental health in the digital era? Empirical evidence based on Chinese general social survey.Frontiers in public health · 2022Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The world has witnessed an important and dramatic transition during the past decades, with social and economic challenges related to the advancement of digital technologies. Meanwhile, inequalities of distributions of resources and opportunities obstinately exist around the world. This study innovates by utilizing household survey datasets to empirically evaluate the impact of Internet utilization on individual's perception toward social justice in China. Estimates suggest that Internet utilization generates a significant negative effect on perceived social justice (in general, -5%). In China, there are 1.032 billion Internet users by the end of 2021, accounting for 73% of the total population (China Internet Network Information Center). It suggests that 3.65% of the population, around 5 million people, might consider the current society is injustice if all circumstances remain unchanged. For robustness checks, we not only run multivariate regressions, implemented different model specification, and used alternative measures as well as datasets, but also approached instrumental variable estimation with regional rainfall for causal inference. Consistent conclusions are found. Also, we found stronger negative effects among male, eastern provinces, and urban area samples. To the end, our results shed lights on policy implication, for example, Internet associated public interventions can be focused on justice cultivation and information transparency.
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Registered trials
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