Andalibi's research addresses the critical problem of understanding how social computing systems can be designed to not only enable people to share information, but also to facilitate meaningful interaction, realize opportunities for social support, and maximize human well-being. She uses mixed methods and theorizes social media behaviors such as sensitive disclosures and interactions around them, and provides designs and recommendations for social technologies that foster mental/emotional well-being. She concentrates on forms of human experience that can be isolating, stigmatized, and lead to distress including abuse, mental illness, and pregnancy loss.
Areas of interest: Human-Computer Interaction (HCI), Social Computing, Computer-Supported Cooperative Work (CSCW), Computer-Mediated Communication (CMC), Health Informatics, Self-disclosure, Privacy, Stigma, Identity, Social Support, Well-being, Social Media
N. Andalibi, M. Morris, A. Forte. Testing Waters, Sending Clues: Indirect Disclosures of Socially Stigmatized Experiences on Social Media. Proceedings of the ACM Human Computer Interaction (PACM). 2018.
N. Andalibi and A. Forte. Responding to Sensitive Disclosures on Social Media: A Decision Making Framework. ACM Transactions on Computer-Human Interaction (TOCHI). 2018. (In Press).
N. Andalibi, O. Haimson, M. De Choudhury, A. Forte. Social Support, Reciprocity, and Anonymity in Responses to Sexual Abuse Disclosures on Social Media. ACM Transactions on Computer-Human Interaction (TOCHI). 2018. (In Press).
N. Andalibi and A. Forte. Announcing Pregnancy Loss on Facebook: A Decision-Making Framework for Stigmatized Disclosures on Identified Social Network Sites. Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems. 2018.