Utilizing large-scale surveys of over 27,000 respondents across 13 advanced and emerging market economies conducted between April and May 2024, we examine how knowledge, beliefs, and preferences regarding government debt shape expectations about tax and spending policies. Our findings reveal...

Utilizing surveys of over 27,000 respondents from 13 advanced and emerging market economies, we explore how knowledge and beliefs about government debt influence expectations of tax and expenditure policy changes. Individuals systematically underestimate debt levels, especially in high-debt...

This study explores perceptions of public debt management among Debt Management Offices (DMOs) in low- and middle-income countries. Based on a survey conducted in October 2023 covering 27 countries, it examines DMOs' views on the relationship between public debt and economic growth, the...

This study explores perceptions of public debt management among Debt Management Offices (DMOs) in low- and middle-income countries. Based on a survey conducted in October 2023 covering 27 countries, it examines DMOs' views on the relationship between public debt and economic growth, the...

This study investigates the preferences of retail investors in India regarding the disclosure of corporate information on the internet. As corporate communication increasingly shifts from traditional hard-copy reports to electronic platforms, understanding the types of information most valued by...

The service sector has consistently expanded within the global economy and has become a significant component of national economies. Advancements in the service sectors of national economies have generated new service-related jobs and professions, which have become a primary source of...

This chapter explores the gap between public perception and the reality of AI-generated content in digital marketing, addressing widespread myths about AI as an autonomous, effortless content creator. While AI tools can automate various aspects of content creation, personalization, and audience...

In this work we study the feasibility of using perceptual hash functions on homomorphically encrypted images in the context of the detection of child sexual abuse material shared via social media and messaging applications. We study both the encryption phase by the sender, and the detection...