bluuebunny/crossref_metadata_2025 huggingface dataset:
Socio-technical Affordances for Stigmergic Coordination Implemented in MIDST, a Tool for Data-Science Teams
Authors: Crowston Kevin , Saltz Jeff S. , Rezgui Amira , Hegde Yatish , You Sangseok
Published: November 2019

We present a conceptual framework for socio-technical affordances for stigmergic coordination, that is, coordination supported by a shared work product. Based on research on free/libre open source software development, we theorize that stigmergic coordination depends on three sets of socio-technical affordances: the visibility and combinability of the work, along with defined genres of work contributions. As a demonstration of the utility of the developed framework, we use it as the basis for the design and implementation of a system, MIDST, that supports these affordances and that we thus expect to support stigmergic coordination. We describe an initial assessment of the impact of the tool on the work of project teams of three to six data-science students that suggests that the tool was useful but also in need of further development. We conclude with plans for future research and an assessment of theory-driven system design.
The Signals that Potential Contributors Look for When Choosing Open-source Projects
Authors: Qiu Huilian Sophie , Li Yucen Lily , Padala Susmita , Sarma Anita , Vasilescu Bogdan
Published: November 2019

While open-source software has become ubiquitous, its sustainability is in question: without a constant supply of contributor effort, open-source projects are at risk. While prior work has extensively studied the motivations of open-source contributors in general, relatively little is known about how people choose which project to contribute to, beyond personal interest. This question is especially relevant in transparent social coding environments like GitHub, where visible cues on personal profile and repository pages, known as signals, are known to impact impression formation and decision making. In this paper, we report on a mixed-methods empirical study of the signals that influence the contributors' decision to join a GitHub project. We first interviewed 15 GitHub contributors about their project evaluation processes and identified the important signals they used, including the structure of the README and the amount of recent activity. Then, we proceeded quantitatively to test out the impact of each signal based on the data of 9,977 GitHub projects. We reveal that many important pieces of information lack easily observable signals, and that some signals may be both attractive and unattractive. Our findings have direct implications for open-source maintainers and the design of social coding environments, e.g., features to be added to facilitate better project searching experience.
A Comparative Evaluation of Techniques for Sharing AR Experiences in Museums
Authors: Franz Juliano , Alnusayri Mohammed , Malloch Joseph , Reilly Derek
Published: November 2019

Museums are constantly searching for new ways to increase engagement with their exhibits, from electronic guides to modern digital technologies such as special-purpose tablets, smartphones, and virtual and augmented reality (AR). For AR exhibits in particular, promoting shared experience and group cohesion is not straightforward. In this work, we investigate scenarios in which not everyone is using a head-worn display (HWD), either because there aren't enough available or simply because someone might feel uncomfortable using it. We propose two sharing techniques for AR experiences and evaluate them in a long term in-the-wild study: Over-the-Shoulder AR, which renders a real-time virtual representation of the augmented reality content on a large secondary display; Semantic Linking, which displays contextual information about the virtual content on the same large display. We also introduce a complementary technique: Indicator Rings, which display the locations of the HWD user's objects-of-focus. We observed that participants in the Over-the-Shoulder AR and Semantic Linking conditions stayed together and exhibited more verbal exchanges than participants in a Baseline condition, which could indicate that they were more engaged. Self-reported measures indicated an increase in pair communication and increased comprehension of the virtual content for participants without the HWD. Participants without the HWD also displayed a greater understanding of the location of virtual elements with support from the Indicator Rings, and used them as a tool to guide the HWD user through the virtual content. We discuss design implications for interactive augmented reality exhibits and possible applications outside the cultural heritage scenario.
Whose Walkability?
Authors: Diaz Mark , Diakopoulos Nicholas
Published: November 2019

The Walk Score is a patented algorithm for measuring the walkability of a given geographic area. In addition to its use in real estate, the accompanying API is used in a range of research in public health and urban development. This study explores how neighborhood residents differently understand the notion of walkability as well as the extent to which their personal definitions of neighborhood walkability are reflected in the Walk Score's underlying algorithm. We find that, while the Walk Score generally aligns with residents' priorities around walkability, significant subjective aspects that influence walking behavior are not reflected in the score, raising the need to consider implications for using algorithmic tools like the Walk Score in certain research contexts. We discuss the challenge of measuring subjective experience and how designers might begin to address it. We call for qualitative evaluations of algorithmic tools to help determine appropriate contexts of use.
Caring for Alzheimer's Disease Caregivers
Authors: Stowell Elizabeth , Zhang Yixuan , Castaneda-Sceppa Carmen , Lachman Margie , Parker Andrea G.
Published: November 2019

The number of informal caregivers for family members with Alzheimer's Disease (AD) is rising dramatically in the United States. AD caregivers disproportionately experience numerous health problems and are often isolated with little support. An active lifestyle can help prevent and mitigate physical and psychological health concerns amongst AD caregivers. Research has demonstrated how pervasive exergames can encourage physical activity (PA) in the general population, yet little work has explored how these tools can address the significant PA barriers that AD caregivers face. To identify opportunities for design, we conducted semi-structured interviews and participatory design sessions with 14 informal caregivers of family members with AD. Our findings characterize how becoming an AD caregiver profoundly impacts one's ability to be active, perspectives on being active, and the ways that exergames might best support this population.We discuss implications for design and howour findings challenge existing technological approaches to PA promotion.
Multi-level Modeling of Social Roles in Online Micro-lending Platforms
Authors: Sun Lu , Kraut Robert E. , Yang Diyi
Published: November 2019

In many teams, members play distinct roles, from leader to disrupter to social networker. Understanding the roles that contributors enact in micro-lending platforms is both psychologically and socially important for sustaining members' motivation and coordinating their joint efforts. Knowing what roles exist in these communities or which additional ones might be needed can also help teams function more effectively. In this paper, we identify social roles in Kiva.org, a peer-to-peer micro-funding platform, by utilizing members' lending behaviors, social network behaviors and communication behaviors to model their social roles at three levels. At the individual level, this method discovered active lenders who made many loans, early-bird lenders who made loans well before deadlines, and lurkers who rarely lent. At the topical level, our method differentiated those who had broad interests and lent to many causes from those who made loans only to borrowers in certain geographic regions or industry sectors. At the team level, the method revealed eight team-oriented functional roles such as encouragers, reminders, competitors, followers, and welcomers. To demonstrate the utility of the team roles, we used regression analysis to show how the distribution of social roles within teams influences the amount of money teams lent. Implications for identifying roles and understanding their contributions to teams are discussed.
Dropping the Baton?
Authors: Li Tianyi , Manns Chandler J. , North Chris , Luther Kurt
Published: November 2019

Crowdsourced sensemaking has shown great potential for enabling scalable analysis of complex data sets, from planning trips, to designing products, to solving crimes. Yet, most crowd sensemaking approaches still require expert intervention because of worker errors and bottlenecks that would otherwise harm the output quality. Mitigating these errors and bottlenecks would significantly reduce the burden on experts, yet little is known about the types of mistakes crowds make with sensemaking micro-tasks and how they propagate in the sensemaking loop. In this paper, we conduct a series of studies with 325 crowd workers using a crowd sensemaking pipeline to solve a fictional terrorist plot, focusing on understanding why errors and bottlenecks happen and how they propagate. We classify types of crowd errors and show how the amount and quality of input data influence worker performance. We conclude by suggesting design recommendations for integrated crowdsourcing systems and speculating how a complementary top-down path of the pipeline could refine crowd analyses.
LibRA
Authors: Saha Koustuv , Reddy Manikanta D. , Mattingly Stephen , Moskal Edward , Sirigiri Anusha , De Choudhury Munmun
Published: November 2019

Job roles serve as a boundary between an employee and an organization, and are often considered building blocks in understanding the behavior and functioning of organizational systems. However, a lack of clarity about one's role, that is, one's work responsibilities and degree of authority, can lead to absenteeism, turnover, dissatisfaction, stress, and lower workplace performance. This paper proposes a methodology to quantitatively estimate role ambiguity via unobtrusively gathered data from LinkedIn, shared voluntarily by a cohort of information workers spanning multiple organizations. After successfully validating this LinkedIn based measure of Role Ambiguity, or LibRA against a state-of-the-art gold standard, drawing upon theories in organizational psychology, we examine the efficacy and convergent validity of LibRA in explaining established relationships of role ambiguity with wellbeing and performance measures of individuals. We find that greater LibRA is associated with depleted wellbeing, such as increased heart rate, increased arousal, decreased sleep, and higher stress. In addition, greater LibRA is associated with lower job performance such as decreased organizational citizenship behavior and decreased individual task performance. We discuss how LibRA can help fill gaps in state-of-the-art assessments of role ambiguity, and the potential of this measure in building novel technology-mediated strategies to combat role ambiguity in organizations.
A Review of Research on Participation in Democratic Decision-Making Presented at SIGCHI Conferences. Toward an Improved Trading Zone Between Political Science and HCI
Authors: Nelimarkka Matti
Published: November 2019

We present a review of 80 papers representing efforts to support participation in democratic decision-making mostly related to local or national governments. The papers were published in leading human--computer interaction (SIGCHI conferences) venues. Most of this literature represents attempts to support assembly-oriented participation, wherein decisions are made through discussion, although referendum-type participation, involving decision-making based on voting, has gained attention too. Primarily, those papers addressing agenda-setting have examined organization-led forms, in which the agenda is controlled by those issuing the call for participation. Accordingly, the authors call for more research into support for representative models and participant-driven agenda-setting. Furthermore, the literature review pinpoints areas wherein further interdisciplinary engagement may be expected to improve research quality: in political science, HCI-informed methods and new ways of using physical input in participation merit more research, while, from the HCI side, cultivating closer relationships with political science concepts such as democratic innovations and calculus of voting could encourage reconsideration of the research foci. These observations speak to the benefits of a new research agenda for human--computer interaction research, involving different forms of participation, most importantly to address lack of engagement under the representative model of participation. Furthermore, in light of these findings, the paper discusses what type of interdisciplinary research is viable in the HCI field today and how political science and HCI scholars could usefully collaborate.
What's in a Review
Authors: Santos Tiago , Lemmerich Florian , Strohmaier Markus , Helic Denis
Published: November 2019

As video game press ("experts") and casual gamers ("amateurs") have different motivations when writing video game reviews, discrepancies in their reviews may arise. To study such potential discrepancies, we conduct a large-scale investigation of more than 1 million reviews on the Metacritic review platform. In particular, we assess the existence and nature of discrepancies in video game appraisal by experts and amateurs, and how they manifest in ratings, over time, and in review language. Leveraging these insights, we explore the predictive power of early expert vs. amateur reviews in forecasting video game reputation in the short- and long-term. We find that amateurs, in contrast to experts, give more polarized ratings of video games, rate games surprisingly long after game release, and are positively biased towards older games. On a textual level, we observe that experts write rather complex, less readable texts than amateurs, whose reviews are more emotionally charged. While in the short-term amateur reviews are remarkably predictive of game reputation among other amateurs (achieving 91% ROC AUC in a binary classification), both expert and amateur reviews are equally well suited for long-term predictions. Overall, our work is the first large-scale comparative study of video game reviewing behavior, with practical implications for amateurs when deciding which games to play, and for game developers when planning which games to design, develop, or continuously support. More broadly, our work contributes to the discussion of wisdom of the few vs. wisdom of the crowds, as we uncover the limits of experts in capturing the views of amateurs in the particular context of video game reviews.
(Re)Design to Mitigate Political Polarization
Authors: Nelimarkka Matti , Rancy Jean Philippe , Grygiel Jennifer , Semaan Bryan
Published: November 2019

Social Media platforms are increasingly being used for political activities and communication, and research suggests that social media design and use is contributing to the polarization of the public sphere. This study draws on Habermas' ideals concerning deliberative democracy to explore if novel interface designs that diversify information sources through content recommendation, can decrease polarization. Through a design-probe interview approach and insights generated from 19 political and citizen experts in Finland and the United States, we found that our deliberative design can lead to depolarization, while creating additional complexity through which users question content and information. We discuss the need to move beyond naive content recommendation, and user interface level changes, in order to work towards a depolarized public sphere.
Interrogating Social Virtual Reality as a Communication Medium for Older Adults
Authors: Baker Steven , Kelly Ryan M. , Waycott Jenny , Carrasco Romina , Hoang Thuong , Batchelor Frances , Ozanne Elizabeth , Dow Briony , Warburton Jeni , Vetere Frank
Published: November 2019

A growing body of research is examining the way that virtual reality (VR) technology might enrich the lives of older adults. However, no studies have yet examined how this technology---combining head mounted displays, motion tracking, avatars, and virtual environments---might contribute to older adult wellbeing by facilitating greater social participation (social VR). To address this gap, we conducted three workshops in which 25 older adults aged 70 to 81 explored the utility of social VR as a medium for communicating with other older adults. Participants first created embodied avatars that were controlled through natural gestures, and subsequently used these avatars in two high-fidelity social VR prototypes. Findings from the workshops provide insight into older adults' design motivations when creating embodied avatars for social VR; their acceptance of social VR as a communication tool; and their views on how social VR might play a beneficial role in their lives. Outcomes from the workshops also illustrate the critical importance our participants placed onbehavioural anthropomorphism ---the embodied avatars' ability to speak, move, and act in a human-like manner--- alongsidetranslational factors, which encapsulate issues relating to the way physical movements are mapped to the embodied avatar and the way in which errors in these mappings may invoke ageing stereotypes. Findings demonstrate the critical role that these characteristics might play in the success of future social VR applications targeting older users. We translate our findings into a set of design considerations for developing social VR systems for older adults, and we reflect on how our participants' experiences can inform future research on social virtual reality.
'I'm going to hell for laughing at this'
Authors: Allison Kimberley R. , Bussey Kay , Sweller Naomi
Published: November 2019

The subreddit r/RoastMe presents an intriguing case of how alternative norms can emerge in subversive online communities, allowing behaviours conventionally condemned as inappropriate to be reframed as acceptable. In this community, users post photos of themselves with the explicit expectation of being mocked or ridiculed by others. This mixed-methods, within-subjects experiment explores the influence of three factors that allow negative comments to be framed as acceptable and appropriate within RoastMe: humour, a mean (but funny) normative tone, and explicit articulation of these norms. 117 participants read, rated and reported their intended responses to humorous and non-humorous comments presented as being from RoastMe (explicitly mean but funny), ToastMe (explicitly positive), and two fictionalised communities where the normative tone was not explicitly defined (the mean but funny RateMe, and the positive DescribeMe). Results indicated clear interaction effects between community tone and norm explicitness, whereby comments from RoastMe were consistently rated and responded to most positively, and separate effects of humour on comment ratings and responses. Individual-level moral disengagement appeared central in allowing participants to excuse negative comments in humorous or permissive contexts. Consistent with benign violation theory, the explicitly negative tone of RoastMe was seen to create a shared understanding that users posting photos would expect and not be harmed by comments, allowing participants to reframe interactions as safe, acceptable and funny.
"Coming Out Okay"
Authors: Dym Brianna , Brubaker Jed R. , Fiesler Casey , Semaan Bryan
Published: November 2019

Online communities provide support for those who are vulnerable, such as LGBTQ people while coming out. Research shows that social support and personal narrative construction are important when recovering from personal crises and traumatic events. As an online community focused on writing fanfiction and also consisting of a large number of LGBTQ members, transformative fandom provides an opportunity to examine the relationship between support, crisis, and narrative. Through an interview study with 31 LGBTQ fanfiction authors, our findings mirror Herman's model of trauma recovery: these spaces self-organize to support recovery work through constructing "community narratives" that help LGBTQ people establish safety when exploring their identity and build LGBTQ support structures without publicly outing themselves before they are ready, challenge stereotypes, and support others through reshaping existing media that perpetuate inaccurate or harmful LGBTQ narratives. These online communities embody "selective visibility"--that is, though not specifically designed as support structures for identity work and recovery, their design allows people to selectively find and create communities of support for stigmatized issues that they might be unable to safely seek out in other spaces. Based on lessons learned, we generate insights that can inform the design of safe support spaces online.
Does Driving as a Form of
Authors: Li Linfeng , Dillahunt Tawanna R. , Rosenblat Tanya
Published: November 2019

About 20% of the U.S. unemployed population has been out of the labor force for more than 6 months. The rise of the gig economy has changed the landscape of nontraditional employment opportunities for these predominantly low-skilled long-term unemployed workers. This particular type of on-demand work can be used to fill unemployment gaps and offers little to no training costs and flexible hours. Therefore, we explore whether driving as a form of gig work helps to mitigate the negative effects of long-term unemployment for low-skilled job seekers with employment gaps, and how employers evaluate workers who have held non-traditional jobs. Using a correspondence audit study with 1006 job applications, we evaluated whether a set of resumes "enhanced" with experience driving for a real-time ridesharing service received more callbacks than baseline resumes with an employment gap. We found no evidence that driving as a form of gig work increased the callback rates of applicants. In fact, we observed that in comparison to men, the callback rates for women slightly declined. Our study suggests that driving 'gigs' might not be a substitute for traditional employment on resumes for low-skilled workers. We contribute a call to CSCW to investigate methods that help to understand why real-time ridesharing services do not substitute for traditional jobs in bridging employment gaps and solutions on how to overcome it. Finally, we reflect on our use of audit studies in the new digital era and present potential CSCW and HCI contributions using this method.
"I think we know more than our doctors"
Authors: Jacobs Maia , Gheihman Galina , Gajos Krzysztof Z. , Gupta Anoopum S.
Published: November 2019

Healthcare providers play a critical role in the management of a chronic illness by providing education about the disease, recommending treatment options, and developing care plans. However, when managing a rare disease, patients and their primary caregivers often work with healthcare systems that lack the infrastructure to diagnosis, treat, or provide education on the disease. Little research has explored care coordination practices between patients, family members, and healthcare providers under these circumstances. With the goal of identifying opportunities for technological support, we conducted qualitative interviews with the primary caregivers of children with a rare neurodegenerative disorder, ataxia-telangiectasia. We report on the responsibilities that the primary caregivers take on in response to care teams' lack of experience with the illness, and the ways in which an online health community supports this care coordination work. We also describe barriers that limited participants' use of the online health community, including the emotional consequences of participation and information overload. Based on these findings, we discuss two promising research agendas for supporting rare disease management: facilitating primary caregivers' care coordination tasks and increasing access to online community knowledge.
Engaging Feminist Solidarity for Comparative Research, Design, and Practice
Authors: Kumar Neha , Karusala Naveena , Ismail Azra , Wong-Villacres Marisol , Vishwanath Aditya
Published: November 2019

Research in the fields of Computer Supported Cooperative Work (CSCW) and Human-Computer Interaction (HCI) is increasingly embracing and moving across borders. While universalism in such research is widely rejected, sole focus on the "particular'' is also commonly critiqued. Kentaro Toyama unpacks this tension, calling for balance via "deliberate efforts to understand the interplay of human universals and cultural differences, and how it pertains to design.'' In this paper, one such deliberate effort, we introduce the notion of feminist solidarity---as theorized by Chandra Mohanty---for drawing connections across borders in CSCW and HCI research, design, and practice. To enable contributions in these fields to cross cultures and geographies in productive ways, we draw attention to commonalities in the struggles and processes of resistance operating in different contexts of study. To do this, we present lessons learned from conducting three comparative studies in six contexts, which were located across various borders. The primary contribution of our analysis is to leverage a feminist solidarity-based approach towards extending conversations on comparative, transnational, and feminist CSCW and HCI research, design, and practice. Our focus remains on resource-constrained regions across the world, in both the Global North and South.
Feedpal
Authors: Yadav Deepika , Malik Prerna , Dabas Kirti , Singh Pushpendra
Published: November 2019

Use of chatbots in different spheres of life is continuously increasing since a couple of years. We attempt to understand the potential of chatbots for breastfeeding education by conducting an Wizard-of-Oz experiment with 22 participants. Our participants included breastfeeding mothers and community health workers from the slum areas of Delhi, India.

We prototyped our chatbot as an interactive question-answering application and analyzed users' interaction patterns, perceptions, and contexts of use. The chatbot use cases emerged primarily as the first line of support. The participants, especially the mothers, were enthusiastic with the opportunity to ask questions and get reliable answers. We also observed the influencing role of female relative, e.g. mothers-in-law, in breastfeeding practices. Our analysis of user information-seeking suggests that a majority of questions (88%) are of nature that can be answered by a chatbot application. We further observe that the queries are embedded deeply into myths and existing belief systems. Therefore requiring the designers to focus on subtle aspects for providing information such as positive reinforcement and contextual sensitivity. Further, we discuss, different societal and ethical issues associated with Chatbot usage for a public health topic such as breastfeeding education.
Designing with Gaze
Authors: McMillan Donald , Brown Barry , Kawaguchi Ikkaku , Jaber Razan , Solsona Belenguer Jordi , Kuzuoka Hideaki
Published: November 2019

Recent developments in gaze tracking present new opportunities for social computing. This paper presents a study of Tama, a gaze actuated smart speaker. Tama was designed taking advantage of research on gaze in conversation. Rather than being activated with a wake word (such as "Ok Google") Tama detects the gaze of a user, moving an articulated 'head' to achieve mutual gaze. We tested Tama's use in a multi-party conversation task, with users successfully activating and receiving a response to over 371 queries (over 10 trials). When Tama worked well, there was no significant difference in length of interaction. However, interactions with Tama had a higher rate of repeated queries, causing longer interactions overall. Video analysis lets us explain the problems users had interacting with gaze. In the discussion, we describe implications for designing new gaze systems, using gaze both as input and output. We also discuss how the relationship to anthropomorphic design and taking advantage of learned skills of interaction. Finally, two paths for future work are proposed, one in the field of speech agents, and the second in using human gaze as an interaction modality more widely.
Efficient, but Effective?
Authors: Reeves Neal T. , Simperl Elena
Published: November 2019

Virtual citizen science (VCS) projects have proven to be a highly effective method to analyse large quantities of data for scientific research purposes. Yet if these projects are to achieve their goals, they must attract and maintain the interest of sufficient numbers of active, dedicated volunteers. Although CSCW and HCI research has typically focussed on designing platforms to support long-term engagement, in recent years a new project format has been trialled -- using short-term crowdsourcing activities lasting as little as 48 hours. In this paper, we explore two short-term projects to understand how they influence participant engagement in the task and discussion elements of VCS. We calculate descriptive statistics to characterise project participants. Additionally, using calculation of correlation coefficients and hypothesis testing, we identify factors influencing volunteer task engagement and the effect this has on project outcomes. Our findings contribute to the understanding of volunteer engagement in VCS.
Estimating Attention Flow in Online Video Networks
Authors: Wu Siqi , Rizoiu Marian-Andrei , Xie Lexing
Published: November 2019

Online videos have shown tremendous increase in Internet traffic. Most video hosting sites implement recommender systems, which connect the videos into a directed network and conceptually act as a source of pathways for users to navigate. At present, little is known about how human attention is allocated over such large-scale networks, and about the impacts of the recommender systems. In this paper, we first construct the Vevo network -- a YouTube video network with 60,740 music videos interconnected by the recommendation links, and we collect their associated viewing dynamics. This results in a total of 310 million views every day over a period of 9 weeks. Next, we present large-scale measurements that connect the structure of the recommendation network and the video attention dynamics. We use the bow-tie structure to characterize the Vevo network and we find that its core component (23.1% of the videos), which occupies most of the attention (82.6% of the views), is made out of videos that are mainly recommended among themselves. This is indicative of the links between video recommendation and the inequality of attention allocation. Finally, we address the task of estimating the attention flow in the video recommendation network. We propose a model that accounts for the network effects for predicting video popularity, and we show it consistently outperforms the baselines. This model also identifies a group of artists gaining attention because of the recommendation network. Altogether, our observations and our models provide a new set of tools to better understand the impacts of recommender systems on collective social attention.
Street-Level Realities of Data Practices in Homeless Services Provision
Authors: Karusala Naveena , Wilson Jennifer , Vayanos Phebe , Rice Eric
Published: November 2019

Quantification and standardization of concepts like risk and vulnerability are increasingly being used in high-stakes, client-facing social services, also presenting the potential for data-driven tools for decision-making in this context. These trends necessitate an understanding of the role of quantitative data in the work of street-level decision-makers in social services. We present a qualitative study of existing data practices and perceptions of potential data-driven tools in housing allocation, engaging the perspective of service providers and policymakers in homeless services in a large urban county in the United States. Our findings highlight participants' concerns around centering clients' choices and ensuring integrity in a resource-constrained, high-stakes context. We also highlight differences between the perspectives of policymakers and service providers on standardization and fairness in the decision-making process. We discuss how use of and policies around data in social services need to consider the importance of the relationships that client-facing service providers have with other workers in the organization, with their work, and with clients.
Making at the Margins
Authors: Vyas Dhaval , Vines John
Published: November 2019

HCI and CSCW literature has extensively studied a wide variety of maker cultures. In this paper, we focus on understanding what making is like for people and communities who do not have access to advanced technological infrastructures. We report on six-month-long ethnographic fieldwork at a non-profit, resource-constrained, e-waste recycling centre that engages members from a low socioeconomic status (SES) community in making activities. Our findings show that making in such a setting is shaped by local economic and social factors in a resource-constrained environment and highlight how this community engages in a wide range of making activities. In describing these making activities, we emphasize how making was conducted to purposely enable ongoing and future making by others; promoted the wellbeing and skill development of centre members; and was socially-engaged to address concerns in the local community. We conclude by discussing how such type of making contributes a new understanding of maker culture, one that is appreciative of resource-constraints, integrates different sources of value, and is embedded in local place.
Rural HCI Research
Authors: Hardy Jean , Wyche Susan , Veinot Tiffany
Published: November 2019

HCI researchers are increasingly conducting research in rural communities. This paper interrogates how rurality has been treated in previous HCI research conducted in developed and high-income countries. We draw from research outside of HCI to suggest how we can effectively engage with rurality in research. We present results of a scoping review of HCI literature that asks: 1) How do HCI researchers define rurality?; 2) How do the unique characteristics of rural communities enter into study findings?; 3) What methods are used in rural research?; and 4) Where has rural research been conducted? More than twice as many rural HCI articles have been conducted in low-income and/or developing countries than in high-income and/or developed countries. HCI researchers rarely define rurality, and when they do, they primarily define it using descriptive rather than sociocultural or symbolic definitions. Rural research findings have primarily addressed infrastructure and distance/geographic isolation as unique rural characteristics, while qualitative, observational, and cross-sectional methods dominate this research. There are further opportunities for HCI research to more productively advance understanding of what rurality is, and how it matters for sociotechnical systems.
Hashtag Burnout? A Control Experiment Investigating How Political Hashtags Shape Reactions to News Content
Authors: Rho Eugenia Ha Rim , Mazmanian Melissa
Published: November 2019

Both hashtag activists and news organizations assume that trending political hashtags effectively capture the nowness of social issues that people care about [20]. In fact, news organizations with growing social media presence increasingly capitalize the use of political hashtags in article headlines and social media news post - a practice aimed to generate new readership through lightweight news consumption of content by linking a particular story to a broader topic [28]. However, response to political hashtags can be complicated as demonstrated with the events surrounding #MeToo and #BlackLivesMatter. In fact, the semantic simplicity of political hashtags often belies the complexities around the question of who gets to participate [71], what intersectional identities are included or excluded from the hashtag [45], as well as how the meaning of the hashtag expands and drifts [10] depending on the context through which it is expressed. Overtime, reports show increasing backlash [70, 73, 74] and polarization [21, 52, 66, 67, 70] against key issues embodied by political hashtags. In this vein, we assume that political hashtags affect how people make sense of and engage with media content. However, we do not know how the presence of political hashtags -signaling that a news story is related to a current social issue - influences the assumptions potential readers make about the social content of an article. In this work we conducted a randomized control experiment to examine how the presence of political hashtags (particularly the most prevalently used #MeToo and #BlackLivesMatter) in social media news posts shape reactions across a general audience (n=1979). Our findings show that compared to the control group, people shown news posts with political hashtags perceive the news topic as less socially important and are less motivated to know more about social issues related to the post. People also find the news more partisan and controversial when hashtags are included. In fact, negative perception associated with political hashtags (partisan bias & topic controversy) mediates people's motivation to further engage with the news content). High-intensity Facebook users and politically moderate participants perceive news with political hashtags as more partisan compared to posts excluding hashtags. There are also significant differences in discourse patterns between the hashtag and control groups around how politically moderate respondents engage with the news content in their comments.
"Is my phone hacked?" Analyzing Clinical Computer Security Interventions with Survivors of Intimate Partner Violence
Authors: Freed Diana , Havron Sam , Tseng Emily , Gallardo Andrea , Chatterjee Rahul , Ristenpart Thomas , Dell Nicola
Published: November 2019

Intimate partner abusers use technology to track, monitor, harass, and otherwise harm their victims, and prior work reports that victims have few resources for obtaining help with such attacks. This paper presents a qualitative analysis of data from a field study of an approach to helping survivors of intimate partner violence (IPV) with technology abuse. In this approach, called clinical computer security, a trained technologist performs a face-to-face consultation with an IPV survivor to help them understand and navigate technology issues. Findings from consultations with 31 survivors, as well as IPV professionals working on their behalf, uncovered a range of digital security and privacy vulnerabilities exacerbated by the nuanced social context of such abuse.

In this paper we explore survivor experiences with, and reactions to, the consultations, discussing (1) the ways in which survivors present their tech concerns, (2) the cooperative work required to guide survivors towards understanding probable causes of tech insecurity, (3) survivors' reactions to the consultations, particularly when security vulnerabilities or spyware are discovered, and (4) the role we play as consultants and interventionists in the complex socio-technical systems involved in mitigating IPV. We conclude by discussing some of the broad ethical and sustainability challenges raised by our work, and provide design opportunities for tech platforms to better support survivors of IPV.
"You Know What to Do"
Authors: Mariconti Enrico , Suarez-Tangil Guillermo , Blackburn Jeremy , De Cristofaro Emiliano , Kourtellis Nicolas , Leontiadis Ilias , Serrano Jordi Luque , Stringhini Gianluca
Published: November 2019

Video sharing platforms like YouTube are increasingly targeted by aggression and hate attacks. Prior work has shown how these attacks often take place as a result of "raids," i.e., organized efforts by ad-hoc mobs coordinating from third-party communities. Despite the increasing relevance of this phenomenon, however, online services often lack effective countermeasures to mitigate it. Unlike well-studied problems like spam and phishing, coordinated aggressive behavior both targets and is perpetrated by humans, making defense mechanisms that look for automated activity unsuitable. Therefore, the de-facto solution is to reactively rely on user reports and human moderation. In this paper, we propose an automated solution to identify YouTube videos that are likely to be targeted by coordinated harassers from fringe communities like 4chan. First, we characterize and model YouTube videos along several axes (metadata, audio transcripts, thumbnails) based on a ground truth dataset of videos that were targeted by raids. Then, we use an ensemble of classifiers to determine the likelihood that a video will be raided with very good results (AUC up to 94%). Overall, our work provides an important first step towards deploying proactive systems to detect and mitigate coordinated hate attacks on platforms like YouTube.
Additional Labors of the Entrepreneurial Self
Authors: Avle Seyram , Hui Julie , Lindtner Silvia , Dillahunt Tawanna
Published: November 2019

Workers are increasingly expected to take on the responsibility and effort of preparing for employment in the new economy, where digital technologies play a central role in bridging access to resources, connections, and opportunity. Drawing from multi-year studies of entrepreneurs in Accra and Detroit, two cities that continue to experience high rates of inequality and persistently low incomes for the majority of their residents, this article highlights three key challenges to self-entrepreneurialization in the digital age: self-upgrading, maintaining technology, and overcoming exclusion. Locating these challenges at the intersection of (1) two powerful global discourses of entrepreneurialism and technology upgrade and (2) class frictions and racial dynamics, this paper uncovers ways in which CSCW might support entrepreneurialism in the new economy, particularly given that it is becoming a de facto space of work and mode of living.
Coordinating Clinical Teams
Authors: Taylor Angelique , Lee Hee Rin , Kubota Alyssa , Riek Laurel D.
Published: November 2019

Patient safety errors account for over 400,000 preventable deaths annually in US in hospitals alone, 70% of which are caused by team communication breakdowns, stemming from hierarchical structures and asymmetrical power dynamics between physicians, nurses, patients, and others. Nurses are uniquely positioned to identify and prevent these errors, but they are often penalized for speaking up, particularly when physicians are responsible. Nevertheless, empowering nurses and building strong interdisciplinary teams can lead to improved patient safety and outcomes. Thus, our group has been developing a series of intelligent systems that support teaming in safety critical settings, Robot-Centric Team Support System (RoboTSS), and recently developed a group detection and tracking system for collaborative robots. In this paper, we explore how RoboTSS can be used to empower nurses in interprofessional team settings, through a three month long, collaborative design process with nurses across five US-based hospitals. The main findings and contributions of this paper are as follows. First, we found that participants envisioned using a robotic crash cart to guide resuscitation procedures to improve efficiency and reduce errors. Second, nurses discussed how RoboTSS can generate choreography for efficient spatial reconfigurations in co-located clinical teams, which is particularly important in time-sensitive situations such as resuscitation. Third, we found that nurses want to use RoboTSS to "stop the line," and disrupt power dynamics by policing unsafe physician behavior, such as avoiding safety protocols using a robotic crash cart. Fourth, nurses envisioned using our system to support real-time error identification, such as breaking the sterile field, and then communicating those errors to physicians, to relieve them of responsibility. Finally, based on our findings, we propose robot design implications that capture how nurses envision utilizing RoboTSS. We hope this work promotes further exploration in how to design technology to challenge authority in asymmetrical power relationships, particularly in healthcare, as strong teams save lives.
Sensing (Co)operations
Authors: Cheatle Amy , Pelikan Hannah , Jung Malte , Jackson Steven
Published: November 2019

Drawing on ethnographic fieldwork in two different teaching hospitals that deployed the da Vinci surgical robot, this paper traces how the introduction of robotics reconfigures the sensory environment of surgery and how surgeons and their teams recalibrate their work in response. We explore the entangled and mutually supportive nature of sensing within and between individual actors and the broader world of people and things (with emphasis on vision and touch) and illustrate how such inter-sensory dependencies are challenged and sometimes extended under the conditions of robotic surgery. We illustrate how sensory (re)articulations and compensations allow the surgeon and surgical teams to adapt to a more-than-human sensorium and conclude by advocating new forms of sensory-aware design capable of enhancing and supporting embodied sensory conditions both individually and across teams.
The July 2019 issue
Authors: Bonaventure Olivier
Published: November 2019

This July 2019 issue contains two technical papers and three editorial notes. In
"Securing Linux with a Faster and Scalable IPtables"
, Sebastiano Miano and his colleagues revisit how Linux firewalls work. Since version 2.4.0 of the Linux kernel,
iptables
has been the standard way of defining firewall rules in Linux. These
iptables
are widely used, but writing and maintaining them can be difficult. Furthermore, they have some limitations in terms of performance. This paper leverages the
eBPF
virtual machine that is included in the Linux kernel to propose a replacement for
iptables
that preserves their semantics while providing improved performance. They release their implementation and evaluate its performance in details.
The skillful interrogation of the internet
Authors: Crovella Mark
Published: November 2019

As SIGCOMM turns 50, it's interesting to ask how networking research has evolved over time. This is a set of personal observations about the "mindset" associated with Internet research.
Lessons from "a first-principles approach to understanding the internet's router-level topology"
Authors: Alderson David L. , Doyle John C. , Willinger Walter
Published: November 2019

Our main purpose for this editorial is to reiterate the main message that we tried to convey in our SIGCOMM'04 paper but that got largely lost in all the hype surrounding the use of scale-free network models throughout the sciences in the last two decades. That message was that because of (1) the Internet's highly-engineered architecture, (2) a thorough understanding of its component technologies, and (3) the availability of extensive (but typically noisy) measurements, this complex man-made system affords unique opportunities to unambiguously resolve most claims about its properties, structure, and functionality. In the process, we point out the fallacy of popular approaches that consider complex systems such as the Internet from the perspective of
disorganized complexity
and argue for renewed efforts and increased focus on advancing an "architecture first" view with its emphasis on studying the
organized complexity
of systems such as the Internet.
Perspective
Authors: Chandra Ranveer , Moscibroda Thomas
Published: November 2019

This paper, titled White Space Networking with Wi-Fi like Connectivity [8], received the best paper award at ACM SIGCOMM 2009. Since then, it has led to new research, a new IEEE standard, new governmental regulations, and a new industry. The work also laid the foundation for new rural connectivity initiatives, connecting rural schools, hospitals, and libraries in Africa, Asia, and America.