Elucidating the role of emotion in privacy-concerns: A text-Convolutional Neural Network (Text-CNN)-based tweets analysis of contact tracing apps

Elucidating the role of emotion in privacy-concerns

  • Mihir Mehta Indian Institute of Management Raipur
  • Sourya Joyee De Indian Institute of Management Raipur
  • Manojit Chattopadhyay Indian Institute of Management Raipur
Keywords: Privacy Calculus Theory, emotion analysis of tweets, contact tracing apps, perceived privacy risks, perceived privacy protections, text-Convolutional Network


The extant contact tracing privacy literature is yet to explore the significance of user emotions in privacy-related decision-making such as whether to use such potentially privacy-invasive apps. Using social media analytics, the present study examines users’ privacy-related emotions stimulated by privacy-related aspects of contact tracing apps. A text-Convolutional Neural Network (Text-CNN)-based emotion analysis of tweets on the Indian contact tracing app Aarogya Setu and its Singaporean counterpart TraceTogether conducted in the paper reveals that users expressed negative privacy-related emotions towards these apps indicating high levels of perceived privacy risks and the perceived lack of privacy protection. For TraceTogether, users have also exhibited positive emotions to appreciate the steps taken by the government to protect their privacy. Based on these findings, the government/data controllers can devise strategies to assuage users’ negative emotions and promote positive emotions to encourage the adoption of contact tracing apps. This work incorporates privacy related emotions as key informants about user privacy concerns within the Privacy Calculus Theory. By relying on candid user opinions available through rich but inexpensive user-generated content, the research provides a quick, reliable, and cost-effective approach to study potential app users’ emotions to gain insights into privacy concerns related to any e-governance platform.

Author Biographies

Mihir Mehta, Indian Institute of Management Raipur

Mihir P Mehta is pursuing MBA at IIM Raipur after the completion of his Bachelor of Technology. He is interested in computer application in business and management.

Sourya Joyee De, Indian Institute of Management Raipur

Sourya Joyee De is an Assistant Professor in IT and Systems area at Indian Institute of Management Raipur, India. She is a Fellow of Indian Institute of Management Calcutta (Ph.D.). Prior to joining IIM Raipur, Sourya has held research positions at INRIA Grenoble Rhone-Alpes and LORIA-CNRS-INRIA Nancy Grand-Est, France for close to four years. Her research has been funded by the French ANR project BIOPRIV, CISCO San Jose, U.S.A., Samsung GRO Grant, INRIA Project Lab CAPPRIS, and the Grand-Est Region, France. Sourya was also a Visiting Scientist at Indian Statistical Institute Kolkata, India. Her research interests include information privacy and security. Her research has been published at various reputed journals and conferences. She has also published two books on privacy with Morgan & Claypool Publishers, San Rafael, CA, U.S.A.


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How to Cite
Mehta, M., De, S. J., & Chattopadhyay, M. (2022). Elucidating the role of emotion in privacy-concerns: A text-Convolutional Neural Network (Text-CNN)-based tweets analysis of contact tracing apps: Elucidating the role of emotion in privacy-concerns. Australasian Journal of Information Systems, 26. https://doi.org/10.3127/ajis.v26i0.3687
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