1,721,030 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Human Botnets: Social Media Mobilization During the 2020 Nagorno-Karabakh War
No full textThis paper investigates the unique patterns of social media activism by pro-Armenia and pro- Azerbaijan activists during and in the aftermath of the 2020 Nagorno-Karabakh conflict. During the conflict between Armenia and Azerbaijan, both sides experienced strong online mobilization, especially through newly-created special cyber army Facebook groups, to launch information campaigns supporting their side across different social media platforms, particularly Twitter. Through looking at both social mobilization and organization patterns inside cyber army Facebook groups as well as an in-depth case study of a Twitter hashtag campaign (and counter-campaign), this paper shows that the activist groups during the conflict exhibited bot-like behavior patterns while also retaining features of an organic social movement, challenging the idea that a people-led social media campaign are always meaningfully different from automated bot activity. Through this, it identifies both similarities and differences with previous studies on social media campaigns which can aid in gaining better awareness about media manipulation campaigns in the region and on social media in general
An Exploration of WeWork: A Series of Paradoxes in the Coworking Space
No full textAs the makeup, motivations, and capability of those in the workforce evolve, the workplace evolves with it. In non-traditional offices, such as coworking spaces like WeWork, the once dichotomous entities of work life and home life seem to increasingly blur. With such changes, what kind of tensions does this present in the workplace? What does this say for the future of organized work? Through conducting interviews and observations in WeWork spaces, I discovered a series of three paradoxical phenomena. The sociomaterial lens became the most salient way to uncover and illustrate these tension-filled practices. Through this lens and my amassed qualitative data, I highlight the following paradoxical phenomena: The “Flexibility Paradox,” “Coworking Paradox,” and “Generational Performativity.” This dynamic poses important unintended consequences for the future of work. While workers differently relate to their space and other materials in it than they have in the past, workspaces continue to adjust
Oh, The Places Your Data Will Go! A Browser Based Intervention to Expose the Data Economy and Provide a Framework for a Privacy-Forward Future
No full textThis research brings to light the problems of the data economy that pertain to privacy and the commodification of personal data. The formation of the World Wide Web and Big Data have made it difficult for people to keep any parts of their lives out of datasets or the hands of data brokers and technology companies. The rise of the Internet of things has brought forth new threats to security as it has created opportunities to collect data points about every part of our day. As it is almost certain that privacy is not possible on an opt-out basis, we must protect those who desire privacy or who might be marginalized by algorithms. The research observes why four types of interventions – technology, legislation, design, and economics – have each failed to address the overall problem with the data economy, and individually only solve a small piece. The paper introduces a critical design intervention in the form of a browser extension that displays to users the investors of the trackers on the user’s current web page. Inspired by a desire to reveal the middle layer of the data economy to an everyday user, the extension’s aim is not to block tracking but to expose it. Lastly, the paper offers a potential future in which privacy is protected, and warns against one where it is not
SILENCE! How Smart Device Technologies En(Gender) Backlash Within the Home
No full textSmart home devices are entering the home at exponential rates, marking the nascence of a new epoch of domestic technologies and life within the home. This study focuses on the gendered implications of smart home devices (Alexa, Google Home, Siri, and Cortana) that arise due to the mix of intimate spaces and preconceived notions of women’s beings. It offers insight into the patterns of entanglement between artificial intelligence, domestic contexts, verbal abuse, and normative notions of gender as well as the indivisibility of technology and society. Through observation and semi-structured interviews amongst 19 respondents, it reveals how users are scripting malfunctions onto the gender of these devices, paying particular attention to the ways in which they are also reinforcing gender-stereotypic beliefs and behaviors
EXAMINING THE STRUCTURES OF EMERGING, COOPERATIVE GIG-WORK PLATFORMS
No full textIn this thesis, my goal was to examine organizational practices of emerging cooperative gig-work platforms. To study these new groups of organizations, I collected interviews from stakeholder in two different cooperative gig-work platforms: Nosh (a restaurant delivery service in Colorado) and the Drivers Cooperative (a ride sharing service in New York City). This thesis used a total of 35 interview: 28 interviews were from various stakeholders of Nosh (including drivers, customers, platform dispatchers, executives, and restaurant owners) and 7 interviews were from members of the Drivers Cooperative. I systematically coded the interviews using a combination of deductive and inductive coding founded on existing literature in the field and patterns in the data. Through the analysis, I found three major groups of findings: 1. commonalities between the two organizations; 2. differences between the organizations; and 3. tensions within the organizations. The major commonalities between Nosh and the Drivers Cooperative are the following: 1. the use of value-based appeals, 2. limitations in economic resources and technology, and 3. oppositional services and values. The major differences between the organization are the following: 1. social relationships; 2. recruitment strategies; 3. methods of social control; and 4. incentive structure. The major tensions within the cooperatives include: 1. unsuccessful attempts at democracy; 2. volunteerism and sacrifice at a for-profit “cooperative”; and 3. free rider problem when financial compensation is more secure. This thesis makes sense of these findings by primarily drawing on literature from Chen (2009), Durkheim (2014), and Rothschild-Whitt (1979b). At the end of the thesis, I make recommendations for future cooperative gig-work platforms based on the findings
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