In this book, Helen Kennedy argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data relations emerge. These new data relations are characterised by a widespread desire for numbers and the troubling consequences of this desire, and also by the possibility of doing good with data and resisting data power, by new and old concerns, and by instability and contradiction. Drawing on action research with public sector organisations, interviews with commercial social insights companies and their clients, focus groups with social media users and other research, Kennedy provides a fascinating and detailed account of living with social media data mining inside the organisations that make up the fabric of everyday life.

This text provides a process-oriented discussion of the theory, methodology and philosophy of geologic and mine modelling using two commercial software packages: Techbase, a leader for mineral exploration and modelling bedded deposits; and Lynx, for modelling geology.

This practical, user-friendly guide consists of 100 original activities that have been designed to inspire and support educators of research ethics and integrity at undergraduate and postgraduate level. Focussing on eight key areas, activities include: • Respecting human dignity, privacy and rights • Obtaining informed consent in the digital world • Capturing data on sexual orientation and gender identity • Recognizing and addressing bias when collecting data • Creating social change through research practice • Assessing the ethical implications of data sharing. Complete with detailed teaching notes and downloadable student handouts, as well as guidance on the type and level of each activity, 100 Activities for Teaching Research Ethics and Integrity is an essential resource for both online and face-to-face teaching.

This book examines the growing importance of algorithms and automation—including emerging forms of artificial intelligence—in the gathering, composition, and distribution of news. In it the authors connect a long line of research on journalism and computation with scholarly and professional terrain yet to be explored. Taken as a whole, these chapters share some of the noble ambitions of the pioneering publications on ‘reporting algorithms’, such as a desire to see computing help journalists in their watchdog role by holding power to account. However, they also go further, firstly by addressing the fuller range of technologies that computational journalism now consists of: from chatbots and recommender systems to artificial intelligence and atomised journalism. Secondly, they advance the literature by demonstrating the increased variety of uses for these technologies, including engaging underserved audiences, selling subscriptions, and recombining and re-using content. Thirdly, they problematise computational journalism by, for example, pointing out some of the challenges inherent in applying artificial intelligence to investigative journalism and in trying to preserve public service values. Fourthly, they offer suggestions for future research and practice, including by presenting a framework for developing democratic news recommenders and another that may help us think about computational journalism in a more integrated, structured manner. The chapters in this book were originally published as a special issue of Digital Journalism.

This best-selling handbook has been brought fully up-to-date with coverage of recent developments in the field including social media, big data, data visualization and CAQDAS.

This book examines how the media approached long-standing and long-simmering issues of race, class, violence, and social responsibility in Baltimore during the demonstrations, violence, and public debate in the spring of 2015. Contributors take Baltimore to be an important place, symbol, and marker, though the issues are certainly not unique to Baltimore: they have crucial implications for contemporary journalism in the U.S. These events prompt several questions: How well did journalism do, in Baltimore, nearby and nationally, in explaining the endemic issues besetting Baltimore? What might have been done differently? What is the responsibility of journalists to anticipate and cover these problems? How should they cover social problems in urban areas? What do the answers to such questions suggest about how journalists should in future cover such problems?

This book results from the IV International Seminar on Research on Mediatization and Social Processes held in 2020/2021. The III International Seminar on Research on Mediatization and Social Processes had a program developed on two levels: debate panels with invited researchers (5 panels, with the participation of researchers from Sweden(2), Argentina (2), and Brazil (9, including five from PPGCC-Unisinos). The IV Seminar program and its structure are at https://www.midiaticom.org/seminario-midiatizacao/programacao-2020/. In this IV Seminar, the theme of the panels was “Mediatized Sapiens: the social construction of knowledge among interactions, means, circulation, and social mediation.” With mediatized sapiens, we want to refer to several media processes related to the mental changes of the species. Several questions can be enunciated related to these. How can we think of knowledge social construction when mediated by the media processes? To what extent does the mental experience of the species hold media processes as references to its building and inferences? How do the actors in a network participate in these processes? To what extent do institutions and organizations adapt to these new environments? In particular, how do the University, research, and scientific fields participate in this repair? Do the media in digital media, in action through expert systems and artificial intelligence, interpose themselves in these processes to the point of asking incisive and secondary questions? How do temporalities and spatiality affect the conditions of production and reception, including social practices, in the social production of knowledge? What epistemologies and methodologies can account for this new complexity amid indetermination and uncertainty zones?