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This chapter reviews possible regulatory updates needed to address the four general challenges arising from digitalization of financial services, regardless of the business models of the financial services providers. These challenges are customers' data rights, artificial intelligence (AI) ethics, cybersecurity and financial exclusion.

Social movements are not monolithic entities. Activists and organizations disagree about the goals of the movement and the tactics to achieve these goals, including their framing tactics. Cultural sociologists have questioned the idea that tactical choice is rationally and strategically oriented, arguing that tactics are morally and emotionally grounded in the activists' lives. We follow this insight, though suggesting that activists make constant efforts to experience their action as rational, claiming a strategic status and a sense of efficacy for their lines of action. By studying framing resonance disputes in interactions between animal rights activists and mass media in south Brazil, we found that, to make their tactics accountable and justifiable, activists mobilize different folk theories on social transformation which allow their actions to be experienced as the best means to achieve the movement's ends.

This chapter explores the role of artificial intelligence (AI), particularly its subfield of machine learning (ML) methods, as a core technology of the fintech revolution in the financial services industry. It simplifies some of the complex concepts related to AI by introducing the main ML paradigms and related techno-methodic aspects. This chapter uses real-world examples to illustrate how next-generation AI powered by ML is transforming the financial services industry. Next, in illustrating the risks associated with AI adoption, this chapter discusses the need for regulation to address the essential facets of AI governance, including transparency, accountability, ethics, and responsible use. Lastly, it looks at emerging regulatory approaches across leading global jurisdictions. The primary goal is to give readers an initial understanding of AI's profound impact on the financial sector.

This chapter takes an overview look at open digital infrastructures for financial services: what they are, why they are important for digital financial landscape, and thus why the central banks might need to take an active role to promote them. This chapter also reviews some concrete examples of open digital infrastructures in various jurisdictions to give some context.

The purpose of this paper is to critically assess the function of the media during the COVID-19 pandemic. It tries to understand how media corporations selectively polish a certain narrative against the other. It will also take into consideration the role of fact-checking agencies and its reliability in determining what is right and wrong.

This study uses qualitative methods and relies on secondary data available in academic domains. In this paper, a specific case related with the COVID-19 pandemic is taken up. Conflicting accounts of health professionals both in academic and industry are compared and analysed. Professional integrity of fact-checking agencies as well goes through scrutiny.

After conducting a critical analysis, it is observed that media houses have violated certain ethics while presenting news and opinions during the COVID-19 pandemic. Without any consideration of fair presentation, the mainstream media resorted to presenting vaccine hesitancy as conspiracy and deplatformed such voice from the media. This violates one’s freedom to free speech and expression.

It is a viewpoint from the side of a free speech abolitionist.

Press will realize that it failed in a number of occasions to uphold and protect its ethical values.

A study questioning the role of media during the COVID-9 pandemic is rare. In this regard, adequate literature is always a difficulty considering the amount of censorship imposed by health agencies, academic institutions and the media. This particular study is built of limited yet reliable information made available by academicians and independent health professionals. As such, the value of work which focuses on the alternative perspectives is believed to add value to health professionals, policymakers, media professionals and the general population.

As one of China’s most influential social platforms, Xiaohongshu is considered an underexploited market with significant user traffic. This study aims to build on existing scholarly work on social media marketing by conducting an empirical analysis of Xiaohongshu’s content to explore effective marketing strategies for children’s books.

This study uses qualitative content analysis to investigate the marketing practices for children’s books on Xiaohongshu. By systematically coding and interpreting data, the authors identified core marketing strategies and their interactions among publishers of children’s books on the platform.

Based on viral marketing and social proof theories, the analysis delineates practices and interrelations among three key marketing strategy components: content creation, traffic navigation and sales conversion on Xiaohongshu. From this analysis, a conceptual model titled “Continuous ‘Planting a Seed’ of Interest: Strategies for Marketing Children’s Books on Xiaohongshu” was developed.

This research not only corroborates the existing literature on the transformative power of social media in marketing but also extends it by providing a focused examination of how these principles apply to the promotion of children’s books on Xiaohongshu. It also provides practical insights for publishers looking to develop effective marketing strategies.