Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Brubaker JED"'
Publikováno v:
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24)
LGBTQ+ people have received increased attention in HCI research, paralleling a greater emphasis on social justice in recent years. However, there has not been a systematic review of how LGBTQ+ people are researched or discussed in HCI. In this work,
Externí odkaz:
http://arxiv.org/abs/2402.07864
While colonization has sociohistorically impacted people's identities across various dimensions, those colonial values and biases continue to be perpetuated by sociotechnical systems. One category of sociotechnical systems--sentiment analysis tools--
Externí odkaz:
http://arxiv.org/abs/2401.10535
As AI systems quickly improve in both breadth and depth of performance, they lend themselves to creating increasingly powerful and realistic agents, including the possibility of agents modeled on specific people. We anticipate that within our lifetim
Externí odkaz:
http://arxiv.org/abs/2402.01662
Autor:
Hong, Matt-Heun, Marsh, Lauren A., Feuston, Jessica L., Ruppert, Janet, Brubaker, Jed R., Szafir, Danielle Albers
Interpretive scholars generate knowledge from text corpora by manually sampling documents, applying codes, and refining and collating codes into categories until meaningful themes emerge. Given a large corpus, machine learning could help scale this d
Externí odkaz:
http://arxiv.org/abs/2208.06133
Content moderation research typically prioritizes representing and addressing challenges for one group of stakeholders or communities in one type of context. While taking a focused approach is reasonable or even favorable for empirical case studies,
Externí odkaz:
http://arxiv.org/abs/2206.03450
Publikováno v:
Proc. ACM Hum.-Comput. Interact.5, CSCW2, Article 368 (October 2021), 33 pages
The proliferation of harmful content on online social media platforms has necessitated empirical understandings of experiences of harm online and the development of practices for harm mitigation. Both understandings of harm and approaches to mitigati
Externí odkaz:
http://arxiv.org/abs/2108.04401
Qualitative inductive methods are widely used in CSCW and HCI research for their ability to generatively discover deep and contextualized insights, but these inherently manual and human-resource-intensive processes are often infeasible for analyzing
Externí odkaz:
http://arxiv.org/abs/2102.03702
Publikováno v:
Proc. ACM Hum.-Comput. Interact.3, CSCW, Article 55 (November 2019), 23 pages
Online community moderators are on the front lines of combating problems like hate speech and harassment, but new modes of interaction can introduce unexpected challenges. In this paper, we consider moderation practices and challenges in the context
Externí odkaz:
http://arxiv.org/abs/2101.05258
Autor:
Jiang, Jialun "Aaron", Brubaker, Jed R.
Publikováno v:
Proc. ACM Hum.-Comput. Interact. 2, CSCW: Article 81 (2018)
User-generated content is central to social computing scholarship. However, researchers and practitioners often presume that these users are alive. Failing to account for mortality is problematic in social media where an increasing number of profiles
Externí odkaz:
http://arxiv.org/abs/1904.05326
Autor:
Jiang, Jialun "Aaron", Fiesler, Casey, Brubaker, Jed R.
Publikováno v:
Proc. ACM Hum.-Comput. Interact. 2, CSCW: Article 80 (2018)
Animated GIFs are increasingly popular in text-based communication. Finding the perfect GIF can make conversations funny, interesting, and engaging, but GIFs also introduce potentials for miscommunication. Through 24 in-depth qualitative interviews,
Externí odkaz:
http://arxiv.org/abs/1903.09623