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                <text>Communication about sensors and communication&#13;
through sensors: localizing the Internet of Things in rural&#13;
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                <text>Internet of Things (IoT) sensor networks are an emerging technology at the center of the datafication and optimization of far-reaching environmental&#13;
infrastructures—from “smart cities” to workplace efficiencies. However, this low-power, low-cost technology is also well suited to local deployments&#13;
in rural communities, which are often overlooked by digital development initiatives. Therefore, we used a social construction of technology approach to&#13;
&#13;
study how various U.S.-based IoT stakeholders—including designers and advocates as well as citizen stakeholders—understand and value sensor net-&#13;
work technologies. Through observational methods, in-depth interviews, and participatory design research in a rural Upstate New York municipality,&#13;
&#13;
we worked to design sensor networks with rural community members to generate data about and for community members to further local&#13;
knowledge. We found that designing rural sensor networks requires stakeholders to navigate obstacles of communication about sensors and&#13;
communication through sensors to facilitate secure, ethical, and localized sensing in rural communities.</text>
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                <text>Chelsea Butkowski 1,*, Ngai Keung Chan2&#13;
&#13;
, Talia Berniker3&#13;
&#13;
, Alfredo Rodriguez4&#13;
,&#13;
&#13;
Kenneth Schlather5&#13;
&#13;
, K. Max Zhang4&#13;
&#13;
, Lee Humphreys</text>
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                <text>Mediating social support through sensor-based&#13;
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                <text>social support, sensor-based technologies, children, avatars and agents, health</text>
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                <text>Sensor-based technologies (SBTs) allow users to track biometric data and feature interactions that foster social support. The social support from&#13;
SBTs can increase intrinsic motivation to engage in and sustain positive health behaviors. Guided by technological affordances and&#13;
self-determination theory, this study tested the long-term efficacy of an ecosystem of SBTs to strengthen social support for children’s behavior&#13;
change, children’s perceived relatedness, and positive physical activity (PA) attitudes. This ecosystem integrated Fitbits tracking each child’s PA,&#13;
kiosks with virtual agents that synced with Fitbit data, and a messaging system for parents and children. Afterschool programs (N 1⁄4 19) were&#13;
randomly set with this ecosystem or a Fitbit with a computer for 6 months. Results suggested that parents of girls provided more social support&#13;
to children via the ecosystem than parents of boys. Children’s perceived support from the virtual agent was positively associated with perceived&#13;
relatedness and PA attitudes over time.</text>
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                <text>Joshua Baldwin 1&#13;
&#13;
, Joomi Lee 2&#13;
&#13;
, Allan D. Tate3&#13;
&#13;
, Christian D. Okitondo3&#13;
&#13;
, Kyle Johnsen4&#13;
,&#13;
&#13;
Michael D. Schmidt5&#13;
&#13;
, Stephen Rathbun3&#13;
&#13;
, Eric Novotny6&#13;
&#13;
, Sun Joo (Grace) Ahn1,*</text>
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                <text>https://doi.org/10.1093/jcmc/zmad011</text>
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                <text>by Oxford University Press on behalf of International Communication Association.</text>
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            <description>A name given to the resource</description>
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                <text>Negotiating the capacities and limitations of&#13;
sensor-mediated care in the home</text>
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                <text>sensor, healthcare, infrastructure, dementia, labor, ethics</text>
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                <text>In-home sensor systems supported by machine learning are increasingly used to enhance communication between those living with long-term&#13;
conditions such as dementia and healthcare professionals and carers who support them. Perspectives from the sociology of infrastructures are&#13;
used to explore the development and deployment of such a system of smart care, drawing on interviews with researchers and developers,&#13;
healthcare professionals and service users, and carers. The analysis finds that labor of various forms is required to manage the production of&#13;
useful sensor data, including parsing the reasons for missing data and organizing appropriate actions in response. The analysis highlights active&#13;
processes of deriving meaning from that data in ways that participants find useful, ethical, and sustainable. The conclusion emphasizes the&#13;
usefulness of an infrastructural approach in order to recognize the heterogeneous forms of labor involved in developing ethically sensitive,&#13;
person-centered forms of remote-monitoring-enabled care.</text>
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                <text>Christine Hine 1,*, Ramin Nilforooshan2&#13;
&#13;
, Payam Barnaghi3</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>https://doi.org/10.1093/jcmc/zmad013</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Oxford University Press on behalf of International Communication Association.</text>
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                <text>PERI IRAWAN</text>
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            <description>A language of the resource</description>
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                <text>Sensor work: enabling the interoperation of&#13;
autonomous vehicles</text>
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                <text>sensing, autonomous driving, interoperability, sensor work, machine vision, AI</text>
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                <text>This article examines the “sensor work” carried out in the development of autonomous vehicles which, without sensor data, would not and&#13;
arguably still do not, have the capacity to decide on where, and how, to drive. I begin by discussing three aspects of sensor technologies&#13;
considered to be the foundation for sensor work being carried out in autonomous vehicle settings, namely the distribution, processing, and&#13;
sourcing of sensor technologies and sensor data. The article considers how that much of this sensor work aids not only the operation of&#13;
autonomous vehicles but also their necessary “interoperation.” In studying four specific sensing methods from an operational perspective,&#13;
I consider how the interoperation between sensing devices and subsequent algorithmic, object-recognition, and motion planning procedures is&#13;
fundamental to the development of autonomous vehicles.</text>
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                <text>Sam Hind</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>https://doi.org/10.1093/jcmc/zmad014</text>
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            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
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                <text>5 April 2023</text>
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                <text>PERI IRAWAN</text>
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                <text>Digital governance with smart sensors: exploring grid&#13;
administration in Zhejiang’s “Future Community”</text>
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                <text>China, smart sensors, digital governance, e-government in everyday practice, grid members</text>
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                <text>This study explored sensor-based e-government practices in eight pilot “Future Communities” in Zhejiang Province, China. Adopting the ap-&#13;
proach of “e-government in everyday practice,” it examines how grid members at the grassroots level make sense of smart sensors and their&#13;
&#13;
mediated governance through the parameters of passive response, collaborative human and nonhuman networks, and calculability. In an emerg-&#13;
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&#13;
of discourses and actions that are either efficient or inefficient, manual or automatic, and progressive or regressive. Neither facilitated nor emp-&#13;
tied by sensor-enabled Weberian functions, they actively improvise along with the dynamism of specific local interactions and situations.&#13;
&#13;
However, currently sensors and attendant technologies merely leave space for them to engage in ambiguities and negotiations concerning the&#13;
extent and boundaries of technical solutionism rather than opening up possibilities for empowerment to refine the forms of governance.</text>
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&#13;
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&#13;
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project that involves new and second-generation migrants with disabilities from a socio-economically disadvantaged area in Sydney, Australia.&#13;
&#13;
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&#13;
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                <text>Incidents of online harassment are increasing and can have significant consequences for victims. Witnesses (“digital bystanders”) can be crucial&#13;
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the applicability of existing theoretical models (i.e., Bystander Intervention Model; Response Decision-Making Framework). Thematic analysis of&#13;
eight focus groups (UK community sample, N 1⁄4 67, 18–25 years) resulted in five themes: Noticing and Interpreting the Harassment, Perceived&#13;
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&#13;
amplified offline preferences, such as greater preference for anonymity and perceived costs of intervention (e.g., social costs). Intervention strat-&#13;
egies varied in visibility and effort, preferring “indirect” micro-interventions focused on supporting victims. A new, merged model specific to digi-&#13;
tal bystanders is proposed, with implications for the design and messaging on social networking sites discussed.</text>
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&#13;
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&#13;
, Adam Joinson1</text>
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                <text>Sean Gleason 1,2,*, Jonathan Lim 2,3, Lynn Marie Church2&#13;
&#13;
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&#13;
, Carl Nicolai5&#13;
,&#13;
&#13;
Joe Pleasant6&#13;
&#13;
, Willard Church6&#13;
&#13;
, Alice Watterson 7&#13;
&#13;
, Lonny Alaskuk Strunk8&#13;
&#13;
, Richard Knecht2,9&#13;
&#13;
Charlotta Hillerdal</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>Digital parenting divides: the role of parental capital and&#13;
digital parenting readiness in parental digital mediation</text>
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                <text>digital divides, parental mediation, social media, personal capital, digital parenting</text>
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                <text>This study investigates digital parenting divides, or how parents’ strategies for regulating their children’s online activities differ based on their&#13;
available resources and digital parenting readiness (i.e., digital parenting self-efficacy, attitudes, and knowledge). We conducted a survey of 530&#13;
&#13;
parents that reflected the composition of the U.S. population to explore how parents’ resources and digital parenting readiness predict their digi-&#13;
tal mediation strategies. The results indicate that parents’ economic, social, and cultural resources, as well as their digital parenting readiness,&#13;
&#13;
play a significant role in how they approach digital mediation. Furthermore, digital parenting readiness has emerged as an underlying mechanism&#13;
explaining the relationship between parental resources and parental mediation strategies. The presence of digital parenting divides highlights the&#13;
need for tailored interventions to support parents in effectively using digital mediation strategies based on their family’s circumstances.</text>
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                <text>Pengfei Zhao1,*, Natalie N. Bazarova1&#13;
&#13;
, Natercia Valle2</text>
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                <text>https://doi.org/10.1093/jcmc/zmad032</text>
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                <text>Oxford University Press on behalf of International Communication Association.</text>
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                <text>30 May 2023</text>
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                <text>PERI IRAWAN</text>
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                <text>ENGLISH</text>
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