The Ethical Challenges of Publishing Twitter Data for Research Dissemination

Empirical research involving the analysis of Internet-based data raises a number of ethical challenges. One instance of this is the analysis of Twitter data, in particular when specific tweets are reproduced for the purposes of dissemination. Although Twitter is an open platform it is possible to question whether this provides a sufficient ethical justification to collect, analyse and reproduce tweets for the purposes of research or whether it is necessary to also undertake specific informed consent procedures. This paper reports on an ethics consultation that formed part of a wider research study and that aimed to identify best practice procedures for the publication of Twitter data in research findings. We focus largely on the UK context and draw on the outcomes of the consultation to highlight the range and depth of ethical issues that arise in this area. We can see Twitter as a case study for a wide number of data sources used in Web Science. This is a highly complex landscape in which questions crystallise around fundamental principles such as informed consent, anonymisation and the minimisation of harm. Furthermore, tensions exist between commercial, regulatory and academic practices, and there are also circumstances in which good ethical practice might compromise academic integrity. There is an absence of consensus in Web science and related fields over how to resolve these issues and we argue that constructive debate is necessary in order to take a proactive approach towards good practice.

[1]  Bernd Carsten Stahl,et al.  Digital Wildfires: Propagation, Verification, Regulation, and Responsible Innovation , 2016, TOIS.

[2]  Alice E. Marwick.  Ethnographic and Qualitative Research on Twitter , 2013 .

[3]  Fabian Neuhaus,et al.  AGILE ETHICS FOR MASSIFIED RESEARCH AND VISUALIZATION , 2012 .

[4]  A. Carusi,et al.  From data archive to ethical labyrinth , 2009 .

[5]  Elizabeth Murphy,et al.  Qualitative Methods and Health Policy Research , 2003 .

[6]  Bernd Carsten Stahl,et al.  Digital wildfires: hyper-connectivity, havoc and a global ethos to govern social media , 2016, CSOC.

[7]  Catherine Flick,et al.  Identifying the Ethics of Emerging Information and Communication Technologies: An Essay on Issues, Concepts and Method , 2010, Int. J. Technoethics.

[8]  Imran Awan.  Islamophobia and Twitter: A Typology of Online Hate Against Muslims on Social Media , 2014 .

[9]  Annette N. Markham.  “Go Ugly Early”: Fragmented Narrative and Bricolage as Interpretive Method , 2005 .

[10]  Michael Zimmer,et al.  A topology of Twitter research: disciplines, methods, and ethics , 2014, Aslib J. Inf. Manag..

[11]  Clara Moskowitz,et al.  So You've Been Publicly Shamed. , 2015 .

[12]  Daniel Gayo-Avello,et al.  A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data , 2012, ArXiv.

[13]  M. Zimmer.  “But the data is already public”: on the ethics of research in Facebook , 2010, Ethics and Information Technology.

[14]  Annette N. Markham,et al.  Ethical Decision-Making and Internet Research: Version 2.0 Recommendations from the AoIR Ethics Working Committee , 2012 .

[15]  Tristan Henderson,et al.  Understanding ethical concerns in social media privacy studies , 2013 .

[16]  Steven G. Jones,et al.  Ethical Decision-Making and Internet Research: Recommendations from the AoIR Ethics Working Committee , 2004 .

[17]  Pete Burnap,et al.  Us and them: identifying cyber hate on Twitter across multiple protected characteristics , 2016, EPJ Data Science.

[18]  Bernd Carsten Stahl,et al.  'Digital Wildfires': a challenge to the governance of social media? , 2015, WebSci.

[19]  Tom Rodden,et al.  An emerging tool kit for attaining informed consent in UbiComp , 2014, UbiComp Adjunct.