Digitisation, AI and Algorithms in African Journalism and Media Contexts moves the focus from the West, addressing the significant knowledge gaps relating to the current state of AI, algorithms and data-driven journalism, as well as the implications for political, social, cultural, markets, media viability and journalism education.
Digitisation, AI and Algorithms in African Journalism and Media Contexts moves the focus from the West, addressing the significant knowledge gaps relating to the current state of AI, algorithms and data-driven journalism, as well as the implications for political, social, cultural, markets, media viability and journalism education.
Language has emerged as both a powerful bridge and a formidable barrier in the realm of public health communication. The ongoing COVID-19 pandemic has highlighted a significant challenge faced by minority and indigenous communities, particularly in regions of Sub-Saharan Africa. It's a challenge deeply rooted in the historical use of colonial languages—English, French, and Spanish—to disseminate critical health information. For many, this has translated into a linguistic exclusion, depriving them of access to essential resources and a voice in matters of national interest. This issue transcends mere communication; it touches upon the fundamental rights of individuals to participate in their own healthcare decisions and influences their sense of belonging and citizenship. Public Health Communication Challenges to Minority and Indigenous Communities proposes a solution with a transformative potential. This groundbreaking edited volume invites scholars from diverse fields to contribute their research, shedding light on the linguistic dimensions of public health communication during the COVID-19 era. By investigating the impact of language on various aspects of society, from medical information to education, this book seeks to synthesize the wealth of sociolinguistic research into an accessible framework. It's an invitation to explore the role of language in shaping our perceptions of citizenship, belonging, and empowerment.
This book offers an African perspective on how news organisations are embracing digital participatory practices as part of their everyday news production, dissemination and audience engagement strategies. Drawing on empirical evidence from news organisations in sub-Saharan Africa, Participatory Journalism in Africa investigates and maps out professional practices emerging with journalists’ direct interactions with readers and sources via online user comment spaces and social media platforms. Using a social constructivist approach, the book focuses on the challenges relating to the elite-centric nature of active participation on the platforms, while also highlighting emerging ethical and normative dilemmas. The authors also point to the hidden structural controls to participation and user engagement associated with artificial intelligence, chatbots and algorithms. These obstacles, coupled with low digital literacy levels and the well-established pitfalls of the digital divide, challenge the utopian view that in Africa interactive digital technologies are the sine qua non spaces for democratic participation. This is a valuable resource for academics, journalists and students across a wide range of disciplines including journalism studies, communication, sociology and political science.
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
What is Digital Journalism Studies? delves into the technologies, platforms, and audience relations that constitute digital journalism studies’ central objects of study, outlining its principal theories, the research methods being developed, its normative underpinnings, and possible futures for the academic field. The book argues that digital journalism studies is much more than the study of journalism produced, distributed, and consumed with the aid of digital technologies. Rather, the scholarly field of digital journalism studies is built on questions that disrupt much of what previously was taken for granted concerning media, journalism, and public spheres, asking questions like: What is a news organisation? To what degree has news become separated from journalism? What roles do platform companies and emerging technologies play in the production, distribution, and consumption of news and journalism? The book reviews the research into these questions and argues that digital journalism studies constitutes a cross-disciplinary field that does not focus on journalism solely from the traditions of journalism studies, but is open to research from and conversations with related fields. This is a timely overview of an increasingly prominent field of media studies that will be of particular interest to academics, researchers, and students of journalism and communication.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Will the use of artificial intelligence (AI), algorithms, and smart machines be the end of journalism as we know it—or its savior? In Newsmakers, Francesco Marconi, who has led the development of the Associated Press and Wall Street Journal’s use of AI in journalism, offers a new perspective on the potential of these technologies. He explains how reporters, editors, and newsrooms of all sizes can take advantage of the possibilities they provide to develop new ways of telling stories and connecting with readers. Marconi analyzes the challenges and opportunities of AI through case studies ranging from financial publications using algorithms to write earnings reports to investigative reporters analyzing large data sets to outlets determining the distribution of news on social media. Newsmakers contends that AI can augment—not automate—the industry, allowing journalists to break more news more quickly while simultaneously freeing up their time for deeper analysis. Marshaling insights drawn from firsthand experience, Marconi maps a media landscape transformed by artificial intelligence for the better. In addition to considering the benefits of these new technologies, Marconi stresses the continuing need for editorial and institutional oversight. Newsmakers outlines the important questions that journalists and media organizations should consider when integrating AI and algorithms into their workflow. For journalism students as well as seasoned media professionals, Marconi’s insights provide much-needed clarity and a practical roadmap for how AI can best serve journalism.
The difficulties in determining the quality of information on the Internet--in particular, the implications of wide access and questionable credibility for youth and learning. Today we have access to an almost inconceivably vast amount of information, from sources that are increasingly portable, accessible, and interactive. The Internet and the explosion of digital media content have made more information available from more sources to more people than at any other time in human history. This brings an infinite number of opportunities for learning, social connection, and entertainment. But at the same time, the origin of information, its quality, and its veracity are often difficult to assess. This volume addresses the issue of credibility--the objective and subjective components that make information believable--in the contemporary media environment. The contributors look particularly at youth audiences and experiences, considering the implications of wide access and the questionable credibility of information for youth and learning. They discuss such topics as the credibility of health information online, how to teach credibility assessment, and public policy solutions. Much research has been done on credibility and new media, but little of it focuses on users younger than college students. Digital Media, Youth, and Credibility fills this gap in the literature. Contributors Matthew S. Eastin, Gunther Eysenbach, Brian Hilligoss, Frances Jacobson Harris, R. David Lankes, Soo Young Rieh, S. Shyam Sundar, Fred W. Weingarten
After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?
