CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...最新文献
Social conformity is a widespread social phenomenon, where individuals change their personal opinions and behaviour to agree with an opposing majority's expectations. While conformity has been extensively studied in face-to-face groups, its dynamics in online groups is yet to be understood. While literature notes both positive (e.g., sense of belonging) and negative (e.g., undue pressure) implications of online social conformity, it is unclear how online group settings can be designed accounting for conformity effects to facilitate positive group interactions. Thus, this research has three main contributions. First, I aim to thoroughly investigate the effects of contextual and personal determinants of face-to-face conformity in online settings. Second, I will explore the impact of social presence and gender, which may manifest differently in online settings in comparison to face-to-face groups. I then aim to present a set of empirically validated design guidelines to inform the design of healthy online communities, accounting for both positive and negative implications of social conformity.
{"title":"Understanding the Dynamics of Online Social Conformity","authors":"S. Wijenayake","doi":"10.1145/3406865.3418373","DOIUrl":"https://doi.org/10.1145/3406865.3418373","url":null,"abstract":"Social conformity is a widespread social phenomenon, where individuals change their personal opinions and behaviour to agree with an opposing majority's expectations. While conformity has been extensively studied in face-to-face groups, its dynamics in online groups is yet to be understood. While literature notes both positive (e.g., sense of belonging) and negative (e.g., undue pressure) implications of online social conformity, it is unclear how online group settings can be designed accounting for conformity effects to facilitate positive group interactions. Thus, this research has three main contributions. First, I aim to thoroughly investigate the effects of contextual and personal determinants of face-to-face conformity in online settings. Second, I will explore the impact of social presence and gender, which may manifest differently in online settings in comparison to face-to-face groups. I then aim to present a set of empirically validated design guidelines to inform the design of healthy online communities, accounting for both positive and negative implications of social conformity.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78911456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Urban residents often use public transit to travel throughout the city yet find it difficult to learn about events in one's neighborhood. Transit rides can also be isolating and routine, despite seeing the same people regularly. As a result, there are opportunities to connect with others on the same route. While digital technologies such as community systems, social media, and public displays have been studied to understand how people engage with each other in their community, little is known about the challenges people face when searching for local information while commuting. Our research explores how one form of technology, location-based games (LBGs), supports urban commuters in digital placemaking. We present a prototype of an LBG, City Explorer, that allows riders to maintain an awareness of location-specific events and to support the sharing of community information. City Explorer is designed for public transit riders in a metropolitan city to collaborate with other riders, supporting community awareness, and facilitating discussions related to places on their transit route.
{"title":"The Design of a Location-Based Transit Game for Digital Placemaking","authors":"Carolyn Pang, Rui Pan, Stephanie Wong, Carman Neustaedter, Yuyao Wu","doi":"10.1145/3406865.3418565","DOIUrl":"https://doi.org/10.1145/3406865.3418565","url":null,"abstract":"Urban residents often use public transit to travel throughout the city yet find it difficult to learn about events in one's neighborhood. Transit rides can also be isolating and routine, despite seeing the same people regularly. As a result, there are opportunities to connect with others on the same route. While digital technologies such as community systems, social media, and public displays have been studied to understand how people engage with each other in their community, little is known about the challenges people face when searching for local information while commuting. Our research explores how one form of technology, location-based games (LBGs), supports urban commuters in digital placemaking. We present a prototype of an LBG, City Explorer, that allows riders to maintain an awareness of location-specific events and to support the sharing of community information. City Explorer is designed for public transit riders in a metropolitan city to collaborate with other riders, supporting community awareness, and facilitating discussions related to places on their transit route.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"171 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78482417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Software bots are applications that are integrated into human communication channels, serving as an interface between users and other tools. Due to their focus on task automation, bots have become particularly relevant for Open Source Software (OSS) projects hosted on GitHub. While bots are adopted to save developers' costs, time, and effort, the interaction of these bots can be disruptive to the community. My research goal is two-fold: (i) identify problems caused by bots that interact in pull requests, and (ii) help bot designers to enhance existing bots, thereby improving the partnership with contributors and maintainers. Toward this end, we are interviewing developers to understand what are the problems on the human-bot interaction and how they affect human collaboration. Afterwards, we will employ Design Fiction to capture the developers' vision of bots' capabilities, in order to define guidelines for the design of bots on social coding platforms, and derive requirements for a meta-bot to deal with the problems. This work contributes more broadly to the design and use of software bots to enhance developers' collaboration and interaction.
{"title":"Leveraging Software Bots to Enhance Developers' Collaboration in Online Programming Communities","authors":"M. Wessel","doi":"10.1145/3406865.3418368","DOIUrl":"https://doi.org/10.1145/3406865.3418368","url":null,"abstract":"Software bots are applications that are integrated into human communication channels, serving as an interface between users and other tools. Due to their focus on task automation, bots have become particularly relevant for Open Source Software (OSS) projects hosted on GitHub. While bots are adopted to save developers' costs, time, and effort, the interaction of these bots can be disruptive to the community. My research goal is two-fold: (i) identify problems caused by bots that interact in pull requests, and (ii) help bot designers to enhance existing bots, thereby improving the partnership with contributors and maintainers. Toward this end, we are interviewing developers to understand what are the problems on the human-bot interaction and how they affect human collaboration. Afterwards, we will employ Design Fiction to capture the developers' vision of bots' capabilities, in order to define guidelines for the design of bots on social coding platforms, and derive requirements for a meta-bot to deal with the problems. This work contributes more broadly to the design and use of software bots to enhance developers' collaboration and interaction.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82765877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
My research area lies at the intersection of stigma, technology, and HCI research methods. In the case of HIV, design of technology has focused on medication adherence and treatment management and less on exploring how people living with HIV can cope with HIV-related stigma more directly via the use of technology. Additionally, HCI research on HIV has relied on face-to-face studies. My dissertation work thus focuses on two aspects: (1) HCI research conducted remotely via the Internet; and (2) the design of technology that could help individuals cope with HIV-related stigma. My prior work has already explored the first aspect. At the moment, I am planning a study that would involve remote asynchronous and synchronous co-design workshops. There are several contributions of my dissertation work. First, it provides insights, lessons, and best practices to conduct HCI research with a stigmatized population remotely. Second, it explores the use of current technology to cope with public HIV-related stigma; and, third, it explores the speculative design of technology that could help people cope with HIV-related stigma more directly.
{"title":"Conducting HCI Research on Stigma","authors":"J. F. Maestre","doi":"10.1145/3406865.3418364","DOIUrl":"https://doi.org/10.1145/3406865.3418364","url":null,"abstract":"My research area lies at the intersection of stigma, technology, and HCI research methods. In the case of HIV, design of technology has focused on medication adherence and treatment management and less on exploring how people living with HIV can cope with HIV-related stigma more directly via the use of technology. Additionally, HCI research on HIV has relied on face-to-face studies. My dissertation work thus focuses on two aspects: (1) HCI research conducted remotely via the Internet; and (2) the design of technology that could help individuals cope with HIV-related stigma. My prior work has already explored the first aspect. At the moment, I am planning a study that would involve remote asynchronous and synchronous co-design workshops. There are several contributions of my dissertation work. First, it provides insights, lessons, and best practices to conduct HCI research with a stigmatized population remotely. Second, it explores the use of current technology to cope with public HIV-related stigma; and, third, it explores the speculative design of technology that could help people cope with HIV-related stigma more directly.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84722247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Government agencies are increasingly looking towards algorithmic decision-making systems as a means to reduce costs and optimize processes. However, these algorithms are being constructed in an opaque and isolated manner with calls to adopt a more participatory approach such that stakeholders become co-designers in the process. We share our experiences from conducting participatory design to improve algorithms in the Child-Welfare System. We discuss a policy-mandated algorithm and an agency-level theory-driven algorithm to show how tensions arise when the values of workers are not embedded in the design of an algorithm.
{"title":"Conducting Participatory Design to Improve Algorithms in Public Services: Lessons and Challenges","authors":"Devansh Saxena, Shion Guha","doi":"10.1145/3406865.3418331","DOIUrl":"https://doi.org/10.1145/3406865.3418331","url":null,"abstract":"Government agencies are increasingly looking towards algorithmic decision-making systems as a means to reduce costs and optimize processes. However, these algorithms are being constructed in an opaque and isolated manner with calls to adopt a more participatory approach such that stakeholders become co-designers in the process. We share our experiences from conducting participatory design to improve algorithms in the Child-Welfare System. We discuss a policy-mandated algorithm and an agency-level theory-driven algorithm to show how tensions arise when the values of workers are not embedded in the design of an algorithm.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77810077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fayika Farhat Nova, M. A. Devito, Pratyasha Saha, Kazi Shohanur Rashid, Shashwata Roy Turzo, S. Afrin, Shion Guha
There is a growing scholarly recognition of the experiences and diversity of gender and sexual orientations beyond hetero-normative identities [4, 6] in research; however, they ultimately categorize gender and sexuality through a strictly Western lens [1, 4]. This paper tries to add to this conversation and understand overall online participation and self-presentation behaviors of queer populations from a non-Western perspective, like Hijra from Bangladesh, who are a severely stigmatized third gender community in South Asia, through the lens of personal social media ecosystem using focus group discussions and semi-structured interviews of n=61 participants. The initial results indicate that Hijra's social media participation and self-presentation are influenced by their distinct audience related concerns and perceived affordances, which intersect with the technical skill-set they require.
{"title":"Understanding How Marginalized Hijra in Bangladesh Navigate Complex Social Media Ecosystem","authors":"Fayika Farhat Nova, M. A. Devito, Pratyasha Saha, Kazi Shohanur Rashid, Shashwata Roy Turzo, S. Afrin, Shion Guha","doi":"10.1145/3406865.3418317","DOIUrl":"https://doi.org/10.1145/3406865.3418317","url":null,"abstract":"There is a growing scholarly recognition of the experiences and diversity of gender and sexual orientations beyond hetero-normative identities [4, 6] in research; however, they ultimately categorize gender and sexuality through a strictly Western lens [1, 4]. This paper tries to add to this conversation and understand overall online participation and self-presentation behaviors of queer populations from a non-Western perspective, like Hijra from Bangladesh, who are a severely stigmatized third gender community in South Asia, through the lens of personal social media ecosystem using focus group discussions and semi-structured interviews of n=61 participants. The initial results indicate that Hijra's social media participation and self-presentation are influenced by their distinct audience related concerns and perceived affordances, which intersect with the technical skill-set they require.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"86 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76178607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elected representatives use a myriad of technologies to communicate with their constituencies. Yet growing evidence finds that these technologies often promote one-way promotional forms of communication that push citizens away from policymakers and their decision-making process. Using theories in deliberative and representative democracy, I designed a week-long, asynchronous, online forum where a Member of Congress and constituents could deliberate a single policy topic. For my dissertation, I am testing the relation between the use of the online forum and feelings of deliberation, policymaker trust, and political efficacy of citizens. The ultimate goal is to determine if these online platforms can empower citizens to effectively participate in the federal legislative process.
{"title":"Technologies for Constituent Communication in the U.S. Congress","authors":"Samantha McDonald","doi":"10.1145/3406865.3418372","DOIUrl":"https://doi.org/10.1145/3406865.3418372","url":null,"abstract":"Elected representatives use a myriad of technologies to communicate with their constituencies. Yet growing evidence finds that these technologies often promote one-way promotional forms of communication that push citizens away from policymakers and their decision-making process. Using theories in deliberative and representative democracy, I designed a week-long, asynchronous, online forum where a Member of Congress and constituents could deliberate a single policy topic. For my dissertation, I am testing the relation between the use of the online forum and feelings of deliberation, policymaker trust, and political efficacy of citizens. The ultimate goal is to determine if these online platforms can empower citizens to effectively participate in the federal legislative process.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72814191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As social media continue to become primary sources of information for users, it has become necessary to evaluate the impacts of the same. This study integrates the information foraging theory with the technostress paradigm to understand how finding and seeking information on four different social media platforms (Facebook, Snapchat, Twitter and Instagram) can affect technostress and well-being outcomes in users. The study also looks to understand how well-being outcomes might ultimately influence users' continued usage of these social media platforms, providing implications for both theory and praxis
{"title":"\"Am I Overwhelmed with this Information?\": A Cross-Platform Study on Information Overload, Technostress, Well-Being, and Continued Social Media Usage Intentions","authors":"Preeti Srinivasan","doi":"10.1145/3406865.3418371","DOIUrl":"https://doi.org/10.1145/3406865.3418371","url":null,"abstract":"As social media continue to become primary sources of information for users, it has become necessary to evaluate the impacts of the same. This study integrates the information foraging theory with the technostress paradigm to understand how finding and seeking information on four different social media platforms (Facebook, Snapchat, Twitter and Instagram) can affect technostress and well-being outcomes in users. The study also looks to understand how well-being outcomes might ultimately influence users' continued usage of these social media platforms, providing implications for both theory and praxis","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"394 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75161753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over the past decade, civil litigants in the U.S. have come to increasingly rely on machine learning (ML) systems to classify documents for discovery review and fact-finding, an approach now broadly referred to as Technology-Assisted Review (TAR). The transformation of legal discovery from a painstaking manual process to a sophisticated algorithm-driven methodology took place over a relatively short period of time, many years before controversies arose surrounding the use of automated risk assessment tools on the criminal side of the U.S. justice system. Introduced in 2008 to a handful of litigators in an experimental research setting hosted by the National Institute of Standards and Technology (NIST), TAR was first deployed live on an active litigation in 2012, and by 2015 a vocal and influential vanguard of judges was actively advocating for its use on cases involving large, complex document discovery. My research examines the cross-disciplinary experimentation and collaboration that took place across legal practitioners and computer scientists leading to ML becoming a judicially accepted solution in U.S. civil litigation practice. The aim of this research is to develop a comprehensive case study for how an expert professional field wrestled with the challenges of integrating ML into sensitive decision-making workflows. While deeply attentive to the unique and complex encounter between U.S. civil litigation practice and computer science, my work also aims to inform the practice of algorithmic system design, development, and governance across other high-stakes professional domains.
{"title":"Sociotechnical Design in Legal Algorithmic Decision-Making","authors":"Fernando A. Delgado","doi":"10.1145/3406865.3418361","DOIUrl":"https://doi.org/10.1145/3406865.3418361","url":null,"abstract":"Over the past decade, civil litigants in the U.S. have come to increasingly rely on machine learning (ML) systems to classify documents for discovery review and fact-finding, an approach now broadly referred to as Technology-Assisted Review (TAR). The transformation of legal discovery from a painstaking manual process to a sophisticated algorithm-driven methodology took place over a relatively short period of time, many years before controversies arose surrounding the use of automated risk assessment tools on the criminal side of the U.S. justice system. Introduced in 2008 to a handful of litigators in an experimental research setting hosted by the National Institute of Standards and Technology (NIST), TAR was first deployed live on an active litigation in 2012, and by 2015 a vocal and influential vanguard of judges was actively advocating for its use on cases involving large, complex document discovery. My research examines the cross-disciplinary experimentation and collaboration that took place across legal practitioners and computer scientists leading to ML becoming a judicially accepted solution in U.S. civil litigation practice. The aim of this research is to develop a comprehensive case study for how an expert professional field wrestled with the challenges of integrating ML into sensitive decision-making workflows. While deeply attentive to the unique and complex encounter between U.S. civil litigation practice and computer science, my work also aims to inform the practice of algorithmic system design, development, and governance across other high-stakes professional domains.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74641342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. D’Ignazio, E. Graeff, Christina N. Harrington, D. Rosner
CSCW, like many other academic communities, is reckoning with its roles, responsibilities, and practices amidst 2020's multiple pandemics of COVID-19, anti-Black racism, and a global economic crisis. Reviewing our work with data and communities demands we address harms from overexposure caused by surveillance or algorithmic bias and from underexposure caused by design that is insufficiently participatory and equitable. This workshop will elicit narratives of good and bad design and data work with communities, apply the lenses of equitable participatory design and data feminism to current CSCW projects and our global context, and develop practical outputs for supporting academics and practitioners in pursuit of democratic and just partnerships.
{"title":"Toward Equitable Participatory Design: Data Feminism for CSCW amidst Multiple Pandemics","authors":"C. D’Ignazio, E. Graeff, Christina N. Harrington, D. Rosner","doi":"10.1145/3406865.3418588","DOIUrl":"https://doi.org/10.1145/3406865.3418588","url":null,"abstract":"CSCW, like many other academic communities, is reckoning with its roles, responsibilities, and practices amidst 2020's multiple pandemics of COVID-19, anti-Black racism, and a global economic crisis. Reviewing our work with data and communities demands we address harms from overexposure caused by surveillance or algorithmic bias and from underexposure caused by design that is insufficiently participatory and equitable. This workshop will elicit narratives of good and bad design and data work with communities, apply the lenses of equitable participatory design and data feminism to current CSCW projects and our global context, and develop practical outputs for supporting academics and practitioners in pursuit of democratic and just partnerships.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"94 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76063397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...
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