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
Children in the UK start learning to read and write using the phonics method, which teaches them how to link sounds (phonemes) with their written representation (graphemes). However, it is a difficult skill which takes a long time to master. To address this, our research begins to explore how a multisensory toolkit could aid phonics learning and support engagement in the process. In this exploratory study, we use variants of the bouba/kiki stimuli, which have been shown to have pre-existing shape, colour and scent mappings, and explore how they could be applied to phonics learning. We presented a first prototype to four children in order to gain initial insights of their experiences of using multisensory tangible models for phonics, as well as the types of sensory associations and interactions that could be further explored.
{"title":"Tangible Multisensory Aids for Collaborative Phonics Learning","authors":"Clare Cullen, Oussama Metatla","doi":"10.1145/3406865.3418342","DOIUrl":"https://doi.org/10.1145/3406865.3418342","url":null,"abstract":"Children in the UK start learning to read and write using the phonics method, which teaches them how to link sounds (phonemes) with their written representation (graphemes). However, it is a difficult skill which takes a long time to master. To address this, our research begins to explore how a multisensory toolkit could aid phonics learning and support engagement in the process. In this exploratory study, we use variants of the bouba/kiki stimuli, which have been shown to have pre-existing shape, colour and scent mappings, and explore how they could be applied to phonics learning. We presented a first prototype to four children in order to gain initial insights of their experiences of using multisensory tangible models for phonics, as well as the types of sensory associations and interactions that could be further explored.","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":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83021277","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}
Is Wikipedia a standardized platform with a common model of collaboration or is it a set of 288 language editions with distinct collaborative models? In the last 20 years, researchers have analyzed group work that enables the creation of quality articles in the English Wikipedia but these intellectual assumptions are based on solely this anglo-centric perspective. In my work, I aim to understand how prior influential collaboration models from the English Wikipedia generalize across other language editions. At a broader perspective, the implications of this study help uncover the differences between language communities and how they can be supported.
{"title":"A Comparative Language Study: Characterizing Collaboration Models in the EN, FR, and ES Language Editions of Wikipedia","authors":"Taryn Bipat","doi":"10.1145/3406865.3418374","DOIUrl":"https://doi.org/10.1145/3406865.3418374","url":null,"abstract":"Is Wikipedia a standardized platform with a common model of collaboration or is it a set of 288 language editions with distinct collaborative models? In the last 20 years, researchers have analyzed group work that enables the creation of quality articles in the English Wikipedia but these intellectual assumptions are based on solely this anglo-centric perspective. In my work, I aim to understand how prior influential collaboration models from the English Wikipedia generalize across other language editions. At a broader perspective, the implications of this study help uncover the differences between language communities and how they can be supported.","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":"89644038","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}
Despite a great deal of attention to developing ethical mitigations for Machine Learning (ML) training data and models, we don't yet know how these interventions will be adopted by those who curate data and use them to train ML models. Will they help ML engineers find and address ethical concerns in their work? My proposed dissertation seeks to understand ML engineers? ethical sensitivity? their propensity to notice, analyze, and act on socially impactful aspects of their work-while curating training data and describe the effects of context documents and ethical guides as practice-based ethics interventions in this early stage of ML development. It asks how ML engineers recognize,particularize, and judge ethical questions while exploring new training data; introduces Ethical Sensitivity to the study of social computing; and will describe how Datasheets intervene in perception and particularization; and will develop a document that can help engineers move from particularization to judgment. It will accomplish these goals using a think aloud experiment with engineers working with unfamiliar training data (with or without a Datasheet), a Value Sensitive Design study that aims to fit an ethical mitigation guide to engineers? work practices, and a systematic review of ethical sensitivity.
{"title":"Ethical Sensitivity in Machine Learning Development","authors":"Karen L. Boyd","doi":"10.1145/3406865.3418359","DOIUrl":"https://doi.org/10.1145/3406865.3418359","url":null,"abstract":"Despite a great deal of attention to developing ethical mitigations for Machine Learning (ML) training data and models, we don't yet know how these interventions will be adopted by those who curate data and use them to train ML models. Will they help ML engineers find and address ethical concerns in their work? My proposed dissertation seeks to understand ML engineers? ethical sensitivity? their propensity to notice, analyze, and act on socially impactful aspects of their work-while curating training data and describe the effects of context documents and ethical guides as practice-based ethics interventions in this early stage of ML development. It asks how ML engineers recognize,particularize, and judge ethical questions while exploring new training data; introduces Ethical Sensitivity to the study of social computing; and will describe how Datasheets intervene in perception and particularization; and will develop a document that can help engineers move from particularization to judgment. It will accomplish these goals using a think aloud experiment with engineers working with unfamiliar training data (with or without a Datasheet), a Value Sensitive Design study that aims to fit an ethical mitigation guide to engineers? work practices, and a systematic review of ethical sensitivity.","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":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87737724","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}
Digital patronage refers to the act of singular and sustained financial support to a content creator as a form of appreciation for their work and occurs within unique sociotechnical systems that support financial exchange in addition to creative expression. In this paper, we present a competitive analysis of five patronage platforms-- Twitch.tv, YouTube, Patreon, Facebook, and OnlyFans. We describe the financial ecosystems of the five platforms and the perk systems embedded in each of the systems that incentivizes patrons to give support. Digital patronage represents an emerging form of sociotechnical practice that offers an alternative to advertisement-driven business models.
{"title":"Digital Patronage Platforms","authors":"Ross Bonifacio, D. Y. Wohn","doi":"10.1145/3406865.3418332","DOIUrl":"https://doi.org/10.1145/3406865.3418332","url":null,"abstract":"Digital patronage refers to the act of singular and sustained financial support to a content creator as a form of appreciation for their work and occurs within unique sociotechnical systems that support financial exchange in addition to creative expression. In this paper, we present a competitive analysis of five patronage platforms-- Twitch.tv, YouTube, Patreon, Facebook, and OnlyFans. We describe the financial ecosystems of the five platforms and the perk systems embedded in each of the systems that incentivizes patrons to give support. Digital patronage represents an emerging form of sociotechnical practice that offers an alternative to advertisement-driven business models.","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":"86446255","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}
In this paper, we explore "apart" behaviors, which are conducted to disconnect with ex-partners using various technological affordances on social media, to extend CSCW/HCI knowledge of how social media supports disconnections in post-breakups. 174 posts and comments from Reddit, Quora, and Facebook, along with sixteen online articles, were qualitatively analyzed. Our findings show how users conduct apart behaviors using technological affordances and their expectations of features to facilitate apart behaviors. We also present two social dilemmas in experiencing apart behaviors on social media.
{"title":"Breakups on Social Media: Social Behaviors and Dilemmas","authors":"Rui Zhang, Guo Freeman, Nathan J. Mcneese","doi":"10.1145/3406865.3418310","DOIUrl":"https://doi.org/10.1145/3406865.3418310","url":null,"abstract":"In this paper, we explore \"apart\" behaviors, which are conducted to disconnect with ex-partners using various technological affordances on social media, to extend CSCW/HCI knowledge of how social media supports disconnections in post-breakups. 174 posts and comments from Reddit, Quora, and Facebook, along with sixteen online articles, were qualitatively analyzed. Our findings show how users conduct apart behaviors using technological affordances and their expectations of features to facilitate apart behaviors. We also present two social dilemmas in experiencing apart behaviors on social media.","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":"81496370","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}
Functionality in remote instructional technologies, such as telepointing and remote annotation tools, were designed to support distributed collaboration on physical tasks. Unfortunately, these functionalities have introduced new challenges in effectively conveying instructions and knowledge. Challenges in the use of remote instructional technologies are important as they directly relate to the learning outcomes of training a worker for future real-world practice. My research emphasizes the systematic investigation of the socio-technical challenges in distributed collaboration and the benefits of training-the-trainer in how to effectively use functionality to convey knowledge to a local worker.
{"title":"Training-the-trainer in Tele-instruction on Collaborative Physical Tasks","authors":"A. Semsar","doi":"10.1145/3406865.3418360","DOIUrl":"https://doi.org/10.1145/3406865.3418360","url":null,"abstract":"Functionality in remote instructional technologies, such as telepointing and remote annotation tools, were designed to support distributed collaboration on physical tasks. Unfortunately, these functionalities have introduced new challenges in effectively conveying instructions and knowledge. Challenges in the use of remote instructional technologies are important as they directly relate to the learning outcomes of training a worker for future real-world practice. My research emphasizes the systematic investigation of the socio-technical challenges in distributed collaboration and the benefits of training-the-trainer in how to effectively use functionality to convey knowledge to a local worker.","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":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81696257","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}
Michael J. Muller, Cecilia M. Aragon, Shion Guha, M. Kogan, Gina Neff, Cathrine Seidelin, Katie Shilton, A. Tanweer
Data science provides powerful tools and methods. CSCW researchers have contributed insightfulstudies of conventional work-practices in data science - and particularly machine learning. However,recent research has shown that human skills and collaborative decision-making, play important rolesin defining data, acquiring data, curating data, designing data, and creating data. This workshopgathers researchers and practitioners together to take a collective and critical look at data sciencework-practices, and at how those work-practices make crucial and often invisible impacts on theformal work of data science. When we understand the human and social contributions to data sciencepipelines, we can constructively redesign both work and technologies for new insights, theories, andchallenges.
{"title":"Interrogating Data Science","authors":"Michael J. Muller, Cecilia M. Aragon, Shion Guha, M. Kogan, Gina Neff, Cathrine Seidelin, Katie Shilton, A. Tanweer","doi":"10.1145/3406865.3418584","DOIUrl":"https://doi.org/10.1145/3406865.3418584","url":null,"abstract":"Data science provides powerful tools and methods. CSCW researchers have contributed insightfulstudies of conventional work-practices in data science - and particularly machine learning. However,recent research has shown that human skills and collaborative decision-making, play important rolesin defining data, acquiring data, curating data, designing data, and creating data. This workshopgathers researchers and practitioners together to take a collective and critical look at data sciencework-practices, and at how those work-practices make crucial and often invisible impacts on theformal work of data science. When we understand the human and social contributions to data sciencepipelines, we can constructively redesign both work and technologies for new insights, theories, andchallenges.","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":"90922681","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}
Nudges are increasingly adopted by governments to promote social welfare, but there is an open debate on the ethics of nudges and their application in highly contested domains. We present a tool for nudging citizens? democratic engagement with political election debates. Democratic Reflection is a moment-by-moment second screen interaction technology for capturing audience feedback to time-based stimuli like speeches, TV debates, or video replays. While viewing the stimuli, users select from a matrix of icons, each describing a reflective nudge and instant audience reaction. Initial insights from the applications of this technology in the 2015, 2017 and 2019 UK elections, suggest that the reflective nudges enabled by Democratic Reflection can promote active engagement with politics, and may increase the willingness of people to be involved in political processes in the future.
{"title":"Democratic Reflection: Nudging Citizens? Democratic Engagement with Political Election Debates","authors":"A. Liddo, Brian Plüss, Alberto Ardito","doi":"10.1145/3406865.3418562","DOIUrl":"https://doi.org/10.1145/3406865.3418562","url":null,"abstract":"Nudges are increasingly adopted by governments to promote social welfare, but there is an open debate on the ethics of nudges and their application in highly contested domains. We present a tool for nudging citizens? democratic engagement with political election debates. Democratic Reflection is a moment-by-moment second screen interaction technology for capturing audience feedback to time-based stimuli like speeches, TV debates, or video replays. While viewing the stimuli, users select from a matrix of icons, each describing a reflective nudge and instant audience reaction. Initial insights from the applications of this technology in the 2015, 2017 and 2019 UK elections, suggest that the reflective nudges enabled by Democratic Reflection can promote active engagement with politics, and may increase the willingness of people to be involved in political processes in the future.","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":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87303965","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}
Exposure to information sources of different types and modalities, such as social media, movies, scholarly reports, and interactions with other communities and groups can change a person's values as well as their knowledge and attitude towards various social phenomena. My doctoral research aims to analyze the effect of these stimuli on people and groups by applying mixed-method approaches that include techniques from natural language processing, close reading, and machine learning. The research leverages different types of user-generated texts (i.e., social media and customer reviews), and professionally-generated texts (i.e., scholarly publications and organizational documents) to study (1) the impact of information that aims to advance social good for individuals and society, and (2) the impact of social and individual biases on people's language use. This work contributes to advancing knowledge, theory and computational solutions relevant to the field of computational social science. The approaches and insights discussed can provide a better understanding of people's attitudes and judgments toward issues and events of general interest, which is necessary to develop solutions for minimizing biases, filter bubbles, and polarization while also improving the effectiveness of interpersonal and societal discourse.
{"title":"Text Mining for Social Good; Context-aware Measurement of Social Impact and Effects Using Natural Language Processing","authors":"R. Rezapour","doi":"10.1145/3406865.3418375","DOIUrl":"https://doi.org/10.1145/3406865.3418375","url":null,"abstract":"Exposure to information sources of different types and modalities, such as social media, movies, scholarly reports, and interactions with other communities and groups can change a person's values as well as their knowledge and attitude towards various social phenomena. My doctoral research aims to analyze the effect of these stimuli on people and groups by applying mixed-method approaches that include techniques from natural language processing, close reading, and machine learning. The research leverages different types of user-generated texts (i.e., social media and customer reviews), and professionally-generated texts (i.e., scholarly publications and organizational documents) to study (1) the impact of information that aims to advance social good for individuals and society, and (2) the impact of social and individual biases on people's language use. This work contributes to advancing knowledge, theory and computational solutions relevant to the field of computational social science. The approaches and insights discussed can provide a better understanding of people's attitudes and judgments toward issues and events of general interest, which is necessary to develop solutions for minimizing biases, filter bubbles, and polarization while also improving the effectiveness of interpersonal and societal discourse.","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":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83650883","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}
Quora is a fast growing crowdsourced Q/A site that also creates online social networks and community practices among the users. Operating in several regional languages, it catalyzes more contextual discussions on local incidents and issues. To understand how language-specific social communities conduct Q/A-based discussions on online forums, we need to study Quora platform. As the first step to that, we need a data collection API. We introduce quoras, a Python API for collecting data from Quora. The API relies on Selenium, which is an open-source cross platform web automation framework. The API operates by creating custom HTTPS requests to Quora and parsing responses from it. It has the ability to perform many types of advanced searches that are otherwise only available on the Quora website, and not through any other existing APIs. The quoras API is released under an open-source MIT license and available along with the full API reference on GitHub. The latest stable release is also available on Python Package Index (PyPI).
{"title":"quoras: A Python API for Quora Data Collection to Increase Multi-Language Social Science Research","authors":"Dipto Das, Bryan C. Semaan","doi":"10.1145/3406865.3418333","DOIUrl":"https://doi.org/10.1145/3406865.3418333","url":null,"abstract":"Quora is a fast growing crowdsourced Q/A site that also creates online social networks and community practices among the users. Operating in several regional languages, it catalyzes more contextual discussions on local incidents and issues. To understand how language-specific social communities conduct Q/A-based discussions on online forums, we need to study Quora platform. As the first step to that, we need a data collection API. We introduce quoras, a Python API for collecting data from Quora. The API relies on Selenium, which is an open-source cross platform web automation framework. The API operates by creating custom HTTPS requests to Quora and parsing responses from it. It has the ability to perform many types of advanced searches that are otherwise only available on the Quora website, and not through any other existing APIs. The quoras API is released under an open-source MIT license and available along with the full API reference on GitHub. The latest stable release is also available on Python Package Index (PyPI).","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":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73201483","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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