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Although social support can be a vital component of gender and sexual identity formation, many LGBTQ+ individuals often lack offline social networks for such support. Traditional online technologies also reveal several challenges in providing LGBTQ+ individuals with effective social support. Therefore, social VR, as a unique online space for immersive and embodied experiences, is becoming popular within LGBTQ+ communities for supportive online interactions. Drawing on 29 LGBTQ+ social VR users’ experiences, we investigate the types of social support LGBTQ+ users have experienced through social VR and how they leverage unique social VR features to experience such support. We provide one of the first empirical evidence of how social VR innovates traditional online support mechanisms to empower LGBTQ+ individuals but leads to new safety and equality concerns. We also propose important principles for rethinking social VR design to provide all users, rather than just the privileged few, with supportive experiences.
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Analyzing the Engagement of Social Relationships during Life Event Shocks in Social Media
Individuals experiencing unexpected distressing events, shocks, often rely on their social network for support. While prior work has shown how social networks respond to shocks, these studies usually treat all ties equally, despite differences in the support provided by different social relationships. Here, we conduct a computational analysis on Twitter that examines how responses to online shocks differ by the relationship type of a user dyad. We introduce a new dataset of over 13K instances of individuals' self-reporting shock events on Twitter and construct networks of relationship-labeled dyadic interactions around these events. By examining behaviors across 110K replies to shocked users in a pseudo-causal analysis, we demonstrate relationship-specific patterns in response levels and topic shifts. We also show that while well-established social dimensions of closeness such as tie strength and structural embeddedness contribute to shock responsiveness, the degree of impact is highly dependent on relationship and shock types. Our findings indicate that social relationships contain highly distinctive characteristics in network interactions, and that relationship-specific behaviors in online shock responses are unique from those of offline settings.
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- PAR ID:
- 10447127
- Publisher / Repository:
- AAAI
- Date Published:
- Journal Name:
- Proceedings of the International AAAI Conference on Web and Social Media
- Volume:
- 17
- ISSN:
- 2162-3449
- Page Range / eLocation ID:
- 149 to 160
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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