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Session Overview
Session
Paper Session 21: Sustainable Cities and Communities [SDGs 4, 8, 9, 11, 12, 17]
Time:
Wednesday, 28/Oct/2020:
4:00pm - 5:30pm

Session Chair: Dania Bilal, University of Tennessee, United States of America

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Presentations
4:00pm - 4:15pm
ID: 260 / PS-21: 1
Long Papers
Topics: Privacy and Ethics
Keywords: surveillance, privacy, "smart home, " privacy paradox, critical studies

Oxymorons of Privacy and Surveillance in "Smart Homes"

Philip Doty

University of Texas at Austin, USA

Surveillance is an important element of contemporary society. To understand current surveillance and its implications for privacy, this paper contributes to theory by identifying three oxymorons (apparent paradoxes) related to privacy and surveillance in the “smart home.” After discussing how “smart homes” are telling examples of the general privacy paradox (only an apparent paradox), the paper examines two related oxymorons: what I term the oxymoron of the surveillance of care and the oxymoron of inconvenient seamlessness. They are drawn from empirical, historical, and conceptual investigations of users’ attitudes and behaviors. The paper identifies defining differences between automated and “smart homes,” the complexity of understanding implications for privacy and surveillance of such homes, and how empirical studies of attitudes about and behavior related to “smart homes” can inform theory. The paper is partially grounded in feminist and historical research about the home, individual and family life, and consideration of contemporary surveillance theories. Carefully examining oxymorons about surveillance and privacy is key to our understanding and to our scholarly and political action, showing the continuing need for critical surveillance and privacy studies.



4:15pm - 4:30pm
ID: 348 / PS-21: 2
Long Papers
Topics: Library and Information Science
Keywords: Community resilience, disaster management, public libraries, crisis

What is Essential?: Understanding Community Resilience and Public Libraries in the United States during Disasters

Beth Patin

Syracuse University, USA

Hurricane Katrina, the 4/27/2011 Tornadoes, the Oso Mudslide, and even more recently, the Coronavirus Pandemic, all demonstrated the devastating experience of disaster. While each of these extreme events varied in scope, size, and degree of disruption, each overwhelmed local authorities necessitating state and federal assistance. Prevention of disasters is ideal, but not practical. Preferably, the emphasis is placed on resilience or a community's ability to bounce back. Public libraries are considered trusted pillars in their community, posing them to provide critical information in the face of extreme challenges. This work explores community resilience and how public libraries in the United States, as Federal Emergency Management Agency (FEMA)-designated essential community organizations, enhance community resilience.

American Library Association (ALA) Policy already recognizes the role libraries should play, and more recently, FEMA recognized libraries as "essential community organizations," tasking them with the responsibility of fulfilling critical information needs in the case of a disaster. However, this designation was made without a clear understanding of how libraries should support their communities, leading to confusion during the United States’ response to Covid19. This work identifies a gap between the perspectives of the librarians and disaster response agents and suggests methods for closing this gap.



4:30pm - 4:40pm
ID: 246 / PS-21: 3
Short Papers
Topics: Library and Information Science
Keywords: social networks, impact, value, research-practice gap, knowledge exchange

Research, Impact, Value and Library and Information Science (RIVAL): Development, Implementation, and Outcomes of a Scottish Network for LIS Researchers and Practitioners

Hazel Hall, Bruce Ryan

Edinburgh Napier University, UK

The research-practice gap in Library and Information Science (LIS) is well documented, especially in respect of the difficulties of translating research into practice, and resultant lost opportunities. While many researchers attempt to explain this research-practice gap, few suggest strategies to address it. The creation of researcher-practitioner networks, however, is one approach that has been proved empirically to bridge the distance between the two communities. Such a network is currently operating in Scotland, funded by the Royal Society of Edinburgh. Research, Impact, Value and Library and Information Science (RIVAL) is part-way through its implementation based around four knowledge exchange events for a network membership of 32 from a wide variety of LIS sectors. RIVAL’s successful delivery depends in part on the project leads’ experience of undertaking, and evaluating the impact of, a UK Arts and Humanities Research Council funded grant: the Developing Research Excellence and Methods (DREaM) project. Already there are indications that RIVAL is delivering value to network members. There is a strong expectation for this to be enhanced, both in the remainder of the funding period and beyond, offering theoretical contributions to the study of social networks, especially in respect of social capital development to support knowledge exchange.



4:40pm - 4:50pm
ID: 304 / PS-21: 4
Short Papers
Topics: Data Science; Analytics; and Visualization
Keywords: Education, Career, Data/Graph Mining, Information Recommendation

Community-Based Data Integration of Course and Job Data in Support of Personalized Career-Education Recommendations

Guoqing Zhu1, Naga Anjaneyulu Kopalle2, Yongzhen Wang2, Xiaozhong Liu2, Kemi Jona3, Katy Börner2

1Dalian Maritime University, People's Republic of China; 2Indiana University Bloomington, USA; 3Northeastern University, USA

How does your education impact your professional career? Ideally, the courses you take help you identify, get hired for, and perform the job you always wanted. However, not all courses provide skills that transfer to existing and future jobs; skill terms used in course descriptions might be different from those listed in job advertisements; and there might exist a considerable skill gap between what is taught in courses and what is needed for a job. In this study, we propose a novel method to integrate extensive course description and job advertisement data by leveraging heterogeneous data integration and community detection. The innovative heterogeneous graph approach along with identified skill communities enables cross-domain information recommendation, e.g., given an educational profile, job recommendations can be provided together with suggestions on education opportunities for re- and upskilling in support of lifelong learning.



4:50pm - 5:00pm
ID: 311 / PS-21: 5
Short Papers
Topics: Social Media and Social Computing
Keywords: Social media; Emergency; Forwarding behavior

Affective and Cognitive Features of Comments Added by Forwarders in Sina Weibo During Disasters

Xi Chen, Sijing Chen, Jin Mao, Gang Li

Wuhan University, People's Republic of China

In Sina Weibo, users are allowed to add comments to the shared post when forwarding and if the shared post is a non-original post, previous forwarders’ comments will be automatically kept. Notwithstanding the growing body of literature on social media usage in emergencies, little is known about the comments added by forwarders during disasters. This study aims to explore the affective and cognitive features of comments added by forwarders and its difference with the original posts during multiple emergency events. We conducted the analysis on 58,857 direct-added comments to 9,408 original posts about three disasters. The result suggests that direct-added comments may better reflect the emotional and cognitive processes of the public than original posts, and the emotional and cognitive expressions of added comments were significantly different between man-made disaster and natural disaster. Our future analysis will include comments added by mediated forwarders, and examine the effect of added comments on the dissemination of original posts in emergencies.



 
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