Facebook Ethics



Data Ethics

What are the questions concerning ethics? The ethics of Facebook (them), or ethics in collecting data from FB pages (you/your student)? We at the Utrecht Data School run into issues of ethics all the time, as we capture/use wildly, made mistakes in the past (suppose we'll make some in the future, though trying to prevent it) and as we cooperate with public administrations and consult them on ethics. We developed the Data Ethics Decision Aid (DEDA) which is a table poster for discussing and reflecting on a research project's ethical issues and potential impact. And it is an interactive questionnaire addressing potential ethical issues. In our recent book are two chapters that might be of interest.

 The Datafied Society: Studying Culture through Data

Editors:  Mirko Tobias Schäfer, & Karin van Es

(read the book)

Of Particular Interest

Please note these chapters from The Datafied Society, recommended by Judy Davidson of the Graduate School of Education:

Get Your Hands Dirty. Emerging Data Practices as Challenge for Research Integrity (Gerwin van Schie, Irene Westra & Mirko Tobias Schäfer)
Research Ethics in Context. Decision-Making in Digital Research (Annette Markham & Elizabeth Buchanan)


The Datafied Society

As more and more aspects of everyday life are turned into machine-readable data, researchers are provided with rich resources for researching society. The novel methods and innovative tools to work with this data not only require new knowledge and skills, but also raise issues concerning the practices of investigation and publication. This book critically reflects on the role of data in academia and society and challenges overly optimistic expectations considering data practices as means for understanding social reality. It introduces its readers to the practices and methods for data analysis and visualization and raises questions not only about the politics of data tools, but also about the ethics in collecting, sifting through data, and presenting data research. AUP S17 Catalogue text As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualization, and raising important political and ethical questions regarding its collection, handling, and presentation.