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Social media networks make their services freely available to all users. Users pay for the service received with the time and attention taken by the advertisements. This chapter argues that social media platforms are a unique form of monopoly driven by “the more the merrier” effect (i.e., network effects) in users' consumption. These monopolies exercise market power, not by charging higher prices to users but by “tying” larger amounts of advertising to their content. Traditional antitrust instruments designed to address excessive pricing and reduced output by monopolies need to be reframed to tame the attention economy problems in the social media industry. This chapter discusses five antitrust instruments grouped in three categories: structural, behavioral, and market-based remedies. Market-based solutions are the least explored in the literature, despite being the most promising instruments to lower the attention costs imposed on users, while preserving the economies of scope in production and the network effects in consumption, and possibly maintaining free access to social media, as we know it today.

With 43.2 million coronavirus cases and 525,000 deaths in 2022, India ranked second worldwide, after the United States (84.6 million cases and 1 million deaths), according to the latest available June 2022 COVID-19 impact data.

Amid people’s growing mistrust in the government, India’s news media enhanced the nation’s distinguished designation as the world’s largest and most populous democracy. India’s news media inform, educate, empower, and entertain a surging population of 1.4 billion people, which is roughly one-sixth of the world’s people.

Drawing upon the media agendamelding theoretical framework, we conducted a case study research into interplay between two prominent democratic institutions, the media and the government, to analyze the role of the COVID-19 pandemic in redefining India’s networked society.

India’s COVID-19 pandemic aggravated internecine tensions between media and government relating to four key freedom issues: (1) world’s largest COVID-19 lockdown affecting 1.3 billion Indians from March 25, 2020 to August 2020 with extensions and five-phased re-openings, to restrict the spread of COVID-19; (2) Internet shutdowns; (3) media censorship during the 1975–1977 “Emergency”; and (4) unabated murders of journalists in India.

Although the COVID-19 pandemic caused deleterious problems debilitating the tensions between the media and the government, India’s journalists thrived by speaking truth to power. This study delineates key aspects of India’s media agendamelding that explicates how the people of India form their media agendas. India’s news audiences meld media messages from newspapers, television, and social media to form a picture of the issues, insights, and ideas that define their lives and times in the 21st century digital age.

This study explores how the national artificial intelligence (AI) strategies and policies in four sub-Saharan African countries – Mauritius, South Africa, Ghana and Gabon – influence the adoption of AI in journalism. In the journalistic world, AI have been mainly used for news gathering, production and distribution. Irrespective of the prospects, the pervasive nature of AI brings with it a host of challenges concerning privacy, gender, and ethnic bias. Despite its relevance to journalism, the challenges associated with using AI necessitate the need for policy frameworks that guide the development and usage of these technologies. At a global level, UNESCO has established a normative framework which lays out principles and standards regarding how member states formulate policies that ensures ethical and healthy development of AI. Using document analysis and the technological determinism theory, the study investigated how the national AI policies and strategies of these countries is impacting journalism and highlights the challenges to the adoption of the technology in the field. In lieu of the AI-specific laws, the countries seem to loosely rely on their data protection acts to govern aspects of AI use involving automated decision making. Mauritius was found to be the only country in the study with a set national AI strategy.

While the significance of public cooperation for police effectiveness is widely acknowledged, less is known about factors associated with cooperation in hate crime cases. The current study aims to explore how individuals’ perspectives on police legitimacy, contact experience with police and race/ethnicity shape their willingness to cooperate with police in hate crime incidents.

This study used a sample of 693 college students and was conducted at a public university in the south-central region of the southern United States of America. Ordinary least squares (OLS) regression models were used to examine factors related to willingness to cooperate with police.

Findings show that those who have a high level of positive perceptions of police legitimacy and those who have a low level of negative personal experience with police reported more willingness to cooperate. Asian respondents were less likely to report that they would cooperate with police compared to white respondents.

This study, emphasizing the relationships between perceived police legitimacy and positive personal experiences with a willingness to cooperate in hate crime cases, has practical implications. The identification of racial/ethnic differences in cooperation attitudes, particularly the lower likelihood of cooperation among Asian respondents, contributed to the current literature and underscores the importance of considering diverse perspectives and outreach efforts.

The purpose of this paper is to present a quantitative and qualitative synthesis of the diverse academic proposals and initiatives for preventing and eliminating hate speech on the internet.

The foundation for this study is a systematic review of papers devoted to the analysis of hate speech. It has been conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol and applied to an initial corpus of 436 academic texts. Having implemented the suitability, screening and inclusion criteria, this corpus was refined to a sample of 74 articles.

The main subject categories studied in this corpus of academic research are legal issues and social media. In the majority of the articles, the use of hate speech via social media is associated with five typologies: religion, cyber racism, political slurs, misogyny and attacks on the LGTBI community. The absence of ethical reflection is one of the major shortcomings of IT-focused research and analysis devoted to online hate speech.

To date various systematic reviews have been presented, and they focus on detecting or describing hate speech. These have used either the search appraisal synthesis analysis framework or the Cochrane network. The PRISMA protocol was applied for this study, and both Scopus and texts in German were included. To date no major, rigorous systematic review has been undertaken of proposals to combat hate speech.

The link between hate speech and poverty has not been studied in depth within the academic sphere. Tolerance and ethical compassion are not granted the attention they merit when it comes to analysing the phenomenon of hate speech.

Background: The study focuses on the challenges encountered during the distribution of food and face-mask items during the first COVID-19 lock-down by various relief supply chain actors.

Methods: Data were collected from forty (40) relief actors through online (via Zoom and telephones) and face-to-face interviews, between January 2021 to March 2021. Data was coded based on per-determined themes after which it was further processed using Atlas ti. v7.57 to generate patterns.

Results: The study established challenges related to needs identification, procurement, warehousing, transportation, handling, beneficiary verification, and last-mile distribution. Additionally, the media and politics coupled with the emergence of new actors and governance issues were part of the challenges identified.

Conclusions: The identified challenges were internal and external to the relief supply chain; hence actors could have control over some while others were beyond their control. The findings could inform practitioners and policymakers on what challenges are likely to affect their operations, especially during a pandemic, and design appropriate coping mechanisms.

The research aimed to explore the perceptions of aspiring future police officers studying at a university in relation to the actions to be taken with regards to typical posts on social media by a fictitious off and on-duty police officer. This in turn would inform future police workforce requirements.

Policing students who expressed their aspirations as future police officers were recruited. A total of 99 students studying the College of Policing licensed Professional Policing Degree at the University of South Wales, took part in Hydra Immersive Simulations to ascertain their perception of social media posts by a fictitious serving police officer. The students were asked to rate the appropriateness of the social media posts as groups, and as individuals.

The findings suggest that, whilst the majority of students identified misconduct issues in the social media posts, the response to how the fictitious police officer should be dealt with varied. In addition, it would appear that there may be a need for those involved in policing education to reinforce, in an ongoing basis, knowledge of the College of Policing Code of Ethics, misconduct rules, regulations and increase awareness of unacceptable social media posts.

The research was conducted with professional policing degree (PPD) students from one university.

It is important to reinforce The College of Policing Code of Ethics, expected professional standards and an understanding of what constitutes unacceptable social media posts throughout the education of aspiring police officers. As this has the potential, if recruited, to impact on the service.

Limited research has been conducted in relation to the College of Policing licensed higher education programme, the PPD, equipping aspiring police officers to successfully join the service and influence the cultural change.

In the current post-human society, artificial intelligence (AI) and algorithms are rapidly being deployed in newsrooms around the world to enhance processes of news idea conception, newsgathering, writing, packaging and dissemination. Although AI adaptation has been ongoing especially in Western Newsrooms over the last decade, this process is only budding in sub-Saharan newsroom contexts. This study explores perceptions, use, prospects and challenges in the adaptation of AI and algorithms in newsrooms. This qualitative survey draws insights from 33 respondents from newspapers, radio stations, online media and community media in Uganda, Tanzania, Rwanda and Ethiopia. The study found varied levels of AI adoption in several newsrooms with some newsrooms not yet using AI while others were fully experimenting with a variety of tools, functionalities – even producing their own AI tools and also in change employment patterns to accommodate the skills needed within this new field. In some of the ‘inactive AI newsrooms’ individual journalists took the onus on themselves to learn and use the disruptive technologies and while the general attitudes towards AI were positive among journalists, the attitudes among management was generally considered poor. The study concludes for the benefits to be maximally leveraged, several of the bottlenecks in application must be addressed. These include the integration of ‘humans-in the loop’, journalistic principles, decolonial and local contextual perspectives in AI development and use. Such perspectives and synergies would need to be drawn from media ecosystems – including journalism education, research, policy, industry and developers.