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AJPOR's editor in chief and managing editor discuss recent hoaxes in academic publishing and the policies in place to prevent AJPOR from falling for them.
This issue highlights how different research methods can be used to address some important issues:
Topic modeling using Latent Dirichlet Allocation helps understand the discourse around aging in South Korea, an aging society (2006-2019).
A survey is used to find which factors affect city image during the COVID-19 pandemic in South Korea.
And in our first paper using this analysis method, the different Facebook reactions are used to understand attitudes about Bangladeshi news items related to rape.
- Editor's Note
- Research Article
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LDA analysis of 1,472 Korean newspaper articles about aging identified seven latent topics. This study concludes media discourse on aging has shifted toward productivity and efficiency issues. - Research Article
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The respondents to a survey in South Korea perceived the image of their city through two dimensions––leading and safe––during the COVID-19 era. - Research Article
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Analyzing reactions to 9,429 Bangladeshi news items about rape shared on Facebook suggests that users express disdain toward rape and sympathy for victims using Facebook's angry and sad buttons.