Session:「HCI and Collective Action」

HCI, Solidarity Movements and the Solidarity Economy

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025490

論文アブストラクト: The financial crisis and austerity politics in Europe has had a devastating impact on public services, social security and vulnerable populations. Greek civil society responded quickly by establishing solidarity structures aimed at helping vulnerable citizens to meet their basic needs and empower them to co-create an anti-austerity movement. While digital technology and social media played an important role in the initiation of the movement, it has a negligible role in the movement's on-going practices. Through embedded work with several solidarity structures in Greece, we have begun to understand the "solidarity economy" (SE) as an experiment in direct democracy and self-organization. Working with a range of solidarity structures we are developing a vision for a "Solidarity HCI" committed to designing to support personal, social and institutional transformation through processes of agonistic pluralism and contestation, where the aims and objectives of the SE are continuously re-formulated and put into practice.

日本語のまとめ:

ギリシャで金融危機に伴う緊縮財政を避けるための自治経済圏。病院、薬局、学校、時間貸し労働、産地直送商店、炊き出し、共同作業、代替通貨が共有。HCI技術が初期に機能。市場と新自由主義ではなく、市民のための団結 HCIの提案

Environmental Protection and Agency: Motivations, Capacity, and Goals in Participatory Sensing

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025667

論文アブストラクト: In this paper we consider various genres of citizen science from the perspective of citizen participants. As a mode of scientific inquiry, citizen science has the potential to "scale up" scientific data collection efforts and increase lay engagement with science. However, current technological directions risk losing sight of the ways in which citizen science is actually practiced. As citizen science is increasingly used to describe a wide range of activities, we begin by presenting a framework of citizen science genres. We then present findings from four interlocking qualitative studies and technological interventions of community air quality monitoring efforts, examining the motivations and capacities of citizen participants and characterizing their alignment with different types of citizen science. Based on these studies, we suggest that data acquisition involves complex multi-dimensional tradeoffs, and the commonly held view that citizen science systems are a win-win for citizens and science may be overstated.

日本語のまとめ:

市民科学を分析。個人的に関心がある場合、身近な環境に興味がある場合、教育や支援から参加するなどの動機。データの正確さを保つ指導が重要であり、また科学的調査の負荷をかけないように、日常的な作業プロセスへ組み込むことが重要

Providing Online Crisis Information: An Analysis of Official Sources during the 2014 Carlton Complex Wildfire

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025627

論文アブストラクト: Using the 2014 Carlton Complex Wildfire as a case study, we examine who contributes official information online during a crisis event, and the timeliness and relevance of the information provided. We identify and describe the communication behaviors of four types of official information sources (Event Based Resources, Local Responders, Local News Media, and Cooperating Agencies), and collect message data from each source's website, public Facebook page, and/or Twitter account. The data show that the Local News Media provided the highest quantity of relevant information and the timeliest information. Event Based Resources shared the highest percentage of relevant information, however, it was often unclear who managed these resources and the credibility of the information. Based on these findings, we offer suggestions for how providers of official crisis information might better manage their online communications and ways that the public can find more timely and relevant online crisis information from official sources.

日本語のまとめ:

カールトン複合火災から災害時のオンライン情報共有分析。オンライン上の情報共有をイベントサイト、地元組織、地域ニュース、互助団体の4種で分類。イベントサイトは強力な発信源。オフィシャルなページよりもSNSが媒介として機能

"Algorithms ruin everything": #RIPTwitter, Folk Theories, and Resistance to Algorithmic Change in Social Media

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025659

論文アブストラクト: As algorithmically-driven content curation has become an increasingly common feature of social media platforms, user resistance to algorithmic change has become more frequent and visible. These incidents of user backlash point to larger issues such as inaccurate understandings of how algorithmic systems work as well as mismatches between designer and user intent. Using a content analysis of 102,827 tweets from #RIPTwitter, a recent hashtag-based backlash to rumors about introducing algorithmic curation to Twitter's timeline, this study addresses the nature of user resistance in the form of the complaints being expressed, folk theories of the algorithmic system espoused by users, and how these folk theories potentially frame user reactions. We find that resistance to algorithmic change largely revolves around expectation violation, with folk theories acting as frames for reactions such that more detailed folk theories are expressed through more specific reactions to algorithmic change.

日本語のまとめ:

Twitterのアルゴリズム変更への抗議#RIPTwitter分析。Twitter社の操作手順を理解した人は、裏切られたと感じ、辞める言動をする傾向がある。抽象的に理解した人は怒り、混乱するが、辞める言動はあまりない