[AISWorld] [AJIS] New Articles published in the Australasian Journal of Information Systems (AJIS)

[Ajis Editor]

Dear Colleagues,



The Australasian Journal of Information Systems (AJIS), Volume 26 has just
published an editorial and 4 articles in its special section on Research on
Applied Ethics about Developing Ethical Guidelines for Social Media
Analytics. The new publications also include a book review.



*Special Section publications:*

*Editorial for the Special Section on Research on Applied Ethics:
Developing Ethical Guidelines for Social Media Analytics*

Deborah Bunker, Shirlee-ann Knight, Stefan Stieglitz

deborah.bunker at sydney.edu.au

doi: https://doi.org/10.3127/ajis.v26i0.4063

#ethics#socialmediaanalytics

*The Investigator’s Dilemma - A Review of Social Media Analytics Research
Ethics in Information Systems *

Julian Marx, Milad Mirbabaie

milad.mirbabaie at uni-paderborn.de

doi: https://doi.org/10.3127/ajis.v26i0.3287

Social media have become not only integral parts of our private and
professional lives, but also an indispensable source of data for empirical
research across a variety of academic disciplines. Applying a Social Media
Analytics (SMA) methodology, however, imposes heavy ethical challenges on
researchers. Scholars in the Information Systems (IS) discipline must deal
with a patchwork of ethical frameworks, regulations, and (missing)
institutional support. To initiate a debate on how to develop a common
understanding of SMA research ethics, this paper compiles a scoping review
of extant literature and suggests a research agenda for IS scholarship on
this matter. The review yields a total of eight fundamental principles of
ethical SMA research, which provide a starting point to guiding individual
researchers towards more ethical conduct. At the same time, this work
unearths a multitude of intricate dilemmas that are currently unresolved.
The findings of this review will encourage IS scholarship to find its own
voice in the debate about social media research ethics.

#SocialMediaAnalytics#Ethics#InformationSystems

*Applied Ethics and Digital Information Privacy: Informing the Design of
Covid-19 Contact Tracing Apps*

Kathrin Eismann, Diana Fischer-Preßler, Kai Fischbach

diana.fischer-pressler at uni-bamberg.de

doi: https://doi.org/10.3127/ajis.v26i0.3097

To counteract the spread of Covid-19, many countries have introduced mobile
applications for contact tracing, which raises considerable questions about
how these apps protect users’ information privacy. Through an exploratory
analysis of Covid-19 contact tracing apps being used in Australia, France,
Germany, Japan, and New Zealand, we identify normative and technical
principles for the design of privacy-sensitive contact tracing apps. Based
on a Restricted Access/Limited Control (RALC) account of information
privacy, we discuss how the apps protect users’ information privacy through
limiting access to and allowing users to actively manage their personal
information. Our findings illustrate what understanding of information
privacy is evident from the various designs of Covid-19 contact tracing
apps, and how competing design principles can contribute to users’
information privacy. From a practical perspective, our findings can inform
the design of contact tracing apps and the development of privacy
approaches that can be applied in particular contexts. Our work thus
bridges the gap between ethical design guidelines and technical analyses of
specific implementations.

#appliedethics#disclosivecomputerethics#informationprivacy#mobileapp#contacttracing#coronavirus#Covid19#crisis#pandemic#normativetheory


*‘Cambridge Moralica’ - Towards an Ethical Framework for Social Media
Analytics*

Anna-Katharina Jung, Sünje Clausen, Aline Shatki Franzke, Julian Marx

anna-katharina.jung at uni-due.de

doi: https://doi.org/10.3127/ajis.v26i0.3121

En route to the unravelling of today’s multiplicity of societal challenges,
making sense of social data has become a crucial endeavour in Information
Systems (IS) research. In this context, Social Media Analytics (SMA) has
evolved to a promising field of data-driven approaches, guiding researchers
in the process of collecting, analysing, and visualising social media data.
However, the handling of such sensitive data requires careful ethical
considerations to protect data subjects, online communities, and
researchers. Hitherto, the field lacks consensus on how to safeguard
ethical conduct throughout the research process. To address this
shortcoming, this study proposes an extended version of a SMA framework by
incorporating ethical reflection phases as an addition to methodical steps.
Following a design science approach, existing ethics guidelines and expert
interviews with SMA researchers and ethicists serve as the basis for
redesigning the framework. It was eventually assessed through multiple
rounds of evaluation in the form of focus group discussions and
questionnaires with ethics board members and SMA experts. The extended
framework, encompassing a total of five iterative ethical reflection
phases, provides simplified ethical guidance for SMA researchers and
facilitates the ethical self-examination of research projects involving
social media data.

#socialmediaanalytics#researchethics#designscienceresearch

*The Relationship between Social Capital and Social Media Addiction: The
Role of Privacy Self-Efficacy*

Franck Soh, Kane Smith, Gurpreet Dhillon

f_sohnoume at uncg.edu

doi: https://doi.org/10.3127/ajis.v26i0.3367

The rise of social media raises important ethical issues regarding social
media user behaviors. This study seeks to investigate the determinants of
social media addiction by focusing on social capital and privacy
self-efficacy. We argue that social capital has a mixed association with
social media addiction by highlighting the difference between social
capital bonding and social capital bridging. Notably, social media users
differ in their usage purposes; as some build more bridges, others focus on
bonding. Moreover, we posit that the relationship between social capital
and social media addiction is moderated by social media user privacy
self-efficacy. We collected the data using a survey approach and the data
was analyzed using covariance-based structural equation modeling. The
findings support our hypotheses. First, we found that social media users
with high bridging experience lesser social media addiction. Those with
high bonding have more social media addiction. Second, social media users'
privacy self-efficacy moderates the relationship between social capital and
social media addiction. This occurs by reinforcing the negative association
between social capital bridging and social media addiction and the positive
association between social capital bonding and social media addiction. Our
findings provide important theoretical contributions and implications for
practice.

#socialmedia#addiction#selfefficacy#privacy#socialcaptial#bridiging#bonding



*Book review:*

*Book Review "Digitalization Cases Vol. 2 – Mastering Digital
Transformation for Global Business"*

Susanne Strahringer

susanne.strahringer at tu-dresden.de

doi: https://doi.org/10.3127/ajis.v26i0.4001

#Bookreview#Digialization#DigitalTransformation



Thank you for your continuing interest in our work.

Best regards

Professor Karlheinz Kautz
Editor-in-Chief, Australasian Journal of Information Systems

http://journal.acs.org.au/index.php/ajis/
-- 
Professor Karlheinz Kautz
Editor-in-Chief,
Australasian Journal of Information Systems
http://journal.acs.org.au/index.php/ajis/index