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Responsible research on social networks : dilemmas and solutions

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digitalethics.pdf (246.3Kb)
Date
05/2018
Author
Crowcroft, Jon
Haddadi, Hamed
Henderson, Tristan
Keywords
Online social networks
Research ethics
Responsible research
Personal data
Data protection
Human-data interaction
J Political Science
QA75 Electronic computers. Computer science
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Abstract
Researchers have found online social networks a goldmine for research into various aspects of social behavior and interpersonal communication. For example, observing social interaction between individuals and their engagement in conversations, or performing sentiment analysis on these communications, is often carried out for research in a number of disciplines such as health, sociology, or politics. Such studies introduce many challenges for conducting research in a responsible manner. Data may be repurposed or cross-correlated in ways that participants may not have anticipated or desired, private information may be collected, or legal requirements may not be met. This chapter explores some of the challenges and dilemmas faced by industry, academia, regulators, privacy advocates, and ultimately the individuals using these services. It discusses the pros and cons of the collection, analysis, and archiving of personal data for digital research. The chapter concludes by discussing theoretical and practical approaches that target these dilemmas.
Citation
Crowcroft , J , Haddadi , H & Henderson , T 2018 , Responsible research on social networks : dilemmas and solutions . in B Foucault-Welles & S González-Bailón (eds) , Oxford Handbook of Networked Communication . Oxford University Press , Oxford, UK . https://doi.org/10.1093/oxfordhb/9780190460518.013.28
Publication
Oxford Handbook of Networked Communication
DOI
https://doi.org/10.1093/oxfordhb/9780190460518.013.28
Type
Book item
Rights
© 2018, Oxford University Press. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1093/oxfordhb/9780190460518.013.28
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/19873

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