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Social Media for Sensitive Disclosures and Social Support: The Case of Miscarriage

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Association for Computing Machinery

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I study self-disclosure and investigate ways in which social computing systems can be designed to allow people to disclose negatively-perceived or stigmatized experiences and find support in their social networks. My prior work has given me insight about online disclosures of depression and sexual abuse, the role of anonymity in support seeking, and the ways that people respond to such disclosures. In my dissertation I will use miscarriage as a context to investigate online disclosure and response practices around stigmatized and traumatizing topics with the goal of improving both theory and social media design practices.

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Andalibi, Nazanin (2016): Social Media for Sensitive Disclosures and Social Support: The Case of Miscarriage. Proceedings of the 2016 ACM International Conference on Supporting Group Work. DOI: 10.1145/2957276.2997019. Association for Computing Machinery. pp. 461–465. Sanibel Island, Florida, USA

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social media, self-disclosure, online communities, stigma, social support, miscarriage

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Number of citations to item: 13

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  • Sedigheh Khademi Habibabadi, Christine Mary Hallinan, Mike Conway, Yvonne Ann Bonomo (2021): Cannabis as a medicine from the social media perspective: Narrative review of the literature (Preprint), doi:10.2196/preprints.34512
  • Anupriya Tuli, Shaan Chopra, Neha Kumar, Pushpendra Singh (2018): Learning <i>from</i> and <i>with</i> Menstrupedia, In: Proceedings of the ACM on Human-Computer Interaction CSCW(2), doi:10.1145/3274443
  • Sarah Dsane, Melissa Densmore, Yaseen Joolay (2022): A Descriptive Analysis of Cohesion within Virtual and Physical Small Groups of Mothers in Bandwidth-Constrained Communities in Cape Town., In: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS), doi:10.1145/3530190.3534793
  • Jessica L. Feuston, Anne Marie Piper (2019): Everyday Experiences, In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3290605.3300495
  • Koustuv Saha, Sindhu Kiranmai Ernala, Sarmistha Dutta, Eva Sharma, Munmun De Choudhury (2020): Understanding Moderation in Online Mental Health Communities, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-49576-3_7
  • Novia Nurain, Chia-Fang Chung, Clara Caldeira, Kay Connelly (2021): Hugging with a Shower Curtain: Older Adults' Social Support Realities During the COVID-19 Pandemic, In: Proceedings of the ACM on Human-Computer Interaction CSCW2(5), doi:10.1145/3479607
  • Sabirat Rubya, Svetlana Yarosh (2017): Interpretations of Online Anonymity in Alcoholics Anonymous and Narcotics Anonymous, In: Proceedings of the ACM on Human-Computer Interaction CSCW(1), doi:10.1145/3134726
  • Yuting Liao (2019): Sharing Personal Health Information on Social Media, In: Proceedings of the 10th International Conference on Social Media and Society, doi:10.1145/3328529.3328560
  • Anupriya Tuli, Shaan Chopra, Pushpendra Singh, Neha Kumar (2020): Menstrual (Im)Mobilities and Safe Spaces, In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3313831.3376653
  • Sedigh Khademi, Christine Mary Hallinan, Mike Conway, Yvonne Bonomo (2023): Using Social Media Data to Investigate Public Perceptions of Cannabis as a Medicine: Narrative Review, In: Journal of Medical Internet Research, doi:10.2196/36667
  • Julie Hui, Jesse King, Cynthia Mcleod, Amy Gonzales (2023): High Risk, High Reward: Social Networking Online in Under-resourced Communities, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3544548.3581084
  • Sedigh Khademi, Christine Mary Hallinan, Mike Conway, Yvonne Bonomo (2022): Using Social Media Data to Investigate Public Perceptions of Cannabis as a Medicine: Narrative Review (Preprint), doi:10.2196/preprints.36667
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