開始時刻
前のセッションの直後
81. Online Communities (発表なし)
発表数
6
時間
-
発表担当
目次
終了した勉強会
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CrowdSurfer: Seamlessly Integrating Crowd-Feedback Tasks into Everyday Internet Surfing
説明
Crowd feedback overcomes scalability issues of feedback collection on interactive website designs. However, collecting feedback on crowdsourcing platforms decouples the feedback provider from the context of use. This creates more effort for crowdworkers to immerse into such context in crowdsourcing tasks. In this paper, we present CrowdSurfer, a browser extension that seamlessly integrates design feedback collection in crowdworkers' everyday internet surfing. This enables the scalable collection of in situ feedback and, in parallel, allows crowdworkers to flexibly integrate their work into their daily activities. In a field study, we compare the CrowdSurfer against traditional feedback collection. Our qualitative and quantitative results reveal that, while in situ feedback with the CrowdSurfer is not necessarily better, crowdworkers appreciate the effortless, enjoyable, and innovative method to conduct feedback tasks. We contribute with our findings on in situ feedback collection and provide recommendations for the integration of crowdworking tasks in everyday internet surfing.
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Making Sense of Post-match Fan Behaviors in the Online Football Communities
説明
Professional sports have large fan bases that congregate in online sports fan communities. The sports community is suitable to be a sandbox for studying offline context's effects on online community behavior. By now, prior works did not present a detailed study on the offline-online connection by examining detailed community discussion content. To fill this gap, this work presents a comprehensive study of online communities' comments about football (soccer) matches, grounded in the data from Premier League teams' Reddit online communities during the 2020-2021 season. We propose a metric "gap score" to quantify offline events' effects by measuring the gap between fans' prematch expectations and actual match results. Using this metric, we investigated how team performance impacted comments' sentiment, discussion topics, and the pattern of comments' votes. The findings highlight the close connection that exists between offline events and online discussions and reveals both theoretical and practical implications for online communities.
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'Keeping our Faith Alive': Investigating Buddhism Practice during COVID-19 to Inform Design for the Online Community Practice of Faith
説明
Supportive digital technologies for the community practice of Faith remain relatively under-explored in Human Computer Interaction (HCI). We report on interviews with 12 members of a Buddhist community in the UK who self-organized and used video-conferencing tools to remain connected to their faith community during the COVID-19 pandemic, aiming to understand how they adopted online tools for their practice while shaping new collective experiences. Findings from Reflexive Thematic Analysis were combined with autoethnographic insights from the first author, also a community member. We evidence qualities of the practice that were valued by participants before and during the pandemic, and the limitations of existing tools and screen-based interactions. We contribute empirical insights on mediated religious and spiritual practice, advancing HCI discourses on Techno-Spirituality, Tangible Embodied Interaction, Soma Design and More-than-Human Worlds. We further develop design considerations for enriching spiritual experiences that are meaningful to practitioners in communities of faith.
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What Makes Creators Engage with Online Critiques? Understanding the Role of Artifacts’ Creation Stage, Characteristics of Community Comments, and their Interactions
説明
Online critique communities (OCCs) provide a convenient space for creators to solicit feedback on their artifacts and improve skills. Creators’ behavioral, emotional, and cognitive engagement with comments on their works contribute to their skill development. However, what kinds of critique creators feel engaging may change with the creation stage of their shared artifacts. In this paper, we first model three dimensions of engagement expressed in creators’ replies to peer comments. Then we quantitatively examine how their engagement is affected by artifacts’ stage and feedback characteristics via regression analysis. Results show that creators sharing works-in-progress tend to exhibit lower behavioral and emotional engagement, but higher cognitive engagement than those sharing complete works. The increase in the valence of the feedback is associated with a stronger increase in behavior engagement for seekers sharing complete works than works-in-progress. Finally, we discuss how our insights could benefit OCCs and other online help-seeking platforms.
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Climate Coach: A Dashboard to Help Open-Source Software Maintainers Manage Community Dynamics
説明
Open-source software projects have become an integral part of our daily life, supporting virtually every software we use today. Since open-source software forms the digital infrastructure, maintaining them is of utmost importance. We present Climate Coach, a dashboard that helps open-source project maintainers monitor the health of their community in terms of team climate and inclusion. Through a literature review and an exploratory survey (N=18), we identified important signals that can reflect a project's health, and display them on a dashboard. We evaluated and refined our dashboard through two rounds of think-aloud studies (N=19). We then conducted a two-week longitudinal diary study (N=10) to test the usefulness of our dashboard. We found that displaying signals that are related to a project's inclusion help improve maintainers' management strategies.
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Altruistic and Profit-oriented: Making Sense of Roles in Web3 Community from Airdrop Perspective
説明
Regardless of which community, incentivizing users is a necessity for well-sustainable operations. In the blockchain-backed Web3 communities, known for their transparency and security, airdrop serves as a widespread incentive mechanism for allocating capital and power. However, it remains a controversy on how to justify airdrop to incentive and empower the decentralized governance. In this paper, we use ParaSwap as an example to propose a role taxonomy methodology through a data-driven study to understand the characteristic of community members and the effectiveness of airdrop. We find that users receive more rewards tend to take positive actions towards the community. We summarize several arbitrage patterns and confirm the current detection is not sufficient in screening out airdrop hunters. In conjunction with the results, we discuss from the aspects of interaction, financialization, and system design to conclude the challenges and possible research directions for decentralized communities.
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