Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture

Scholars and practitioners across domains are increasingly concerned with algorithmic transparency and opacity, interrogating the values and assumptions embedded in automated, black-boxed systems, particularly in user-generated content platforms. I report from an ethnography of infrastructure in Wikipedia to discuss an often understudied aspect of this topic: the local, contextual, learned expertise involved in participating in a highly automated social-technical environment. Today, the organizational culture of Wikipedia is deeply intertwined with various data-driven algorithmic systems, which Wikipedians rely on to help manage and govern the "anyone can edit" encyclopedia at a massive scale. These bots, scripts, tools, plugins, and dashboards make Wikipedia more efficient for those who know how to work with them, but like all organizational culture, newcomers must learn them if they want to fully participate. I illustrate how cultural and organizational expertise is enacted around algorithmic agents by discussing two autoethnographic vignettes, which relate my personal experience as a veteran in Wikipedia. I present thick descriptions of how governance and gatekeeping practices are articulated through and in alignment with these automated infrastructures. Over the past 15 years, Wikipedian veterans and administrators have made specific decisions to support administrative and editorial workflows with automation in particular ways and not others. I use these cases of Wikipedia's bot-supported bureaucracy to discuss several issues in the fields of critical algorithms studies, critical data studies, and fairness, accountability, and transparency in machine learning -- most principally arguing that scholarship and practice must go beyond trying to "open up the black box" of such systems and also examine sociocultural processes like newcomer socialization.Comment: 14 pages, typo fixed in v

Chata Sia “I am Choctaw”. Using Images as a Methodology for Cultural and Technological Discourse

Unlike positivist quantitative designs, many qualitative researchers tend to dive right into data collection without benefit of an exploratory study or other pilot study. The purpose of this paper is twofold: (1) to share an image-based methodology adapted from a community strategic planning process and applied to an exploratory study of one native American tribes reaction to cultural images and\ud ICT’s, and (2) to share the many benefits of a pilot study in advance of a larger qualitative research study, including opportunities for discourse around ICT’s in relation to local culture

Libre culture: meditations on free culture

Libre Culture is the essential expression of the free culture/copyleft movement. This anthology, brought together here for the first time, represents the early groundwork of Libre Society thought. Referring to the development of creativity and ideas, capital works to hoard and privatize the knowledge and meaning of what is created. Expression becomes monopolized, secured within an artificial market-scarcity enclave and finally presented as a novelty on the culture industry in order to benefit cloistered profit motives. In the way that physical resources such as forests or public services are free, Libre Culture argues for the freeing up of human ideas and expression from copyright bulwarks in all forms

Intimate Nevada: Artists Respond

Creative Works Winner Most of us know Nevada beyond the Strip. It’s a place of houses, of shopping plazas, of movie theaters, and grocery stores. A place of hotels that are also places of work. A place of basins, ranges, vistas, and nature. A place of personal history. For Intimate Nevada: Artists Respond, curators Lauren Paljusaj (ENG BA ‘20) and Anne Savage (CFA BA ‘22), draw on photographs found in UNLV Special Collections to uncover the intimate visuality of a Nevada of past centuries. The exhibition focuses on how the imaged built landscape of early 20th century Southern Nevada (Paljusaj) and candids and personal snapshots of 1910s Las Vegas (Savage) allow us to interpret the past in light of who we are today. It also shows how artists utilize research archives and the bottomless fascination of material memory to respond to historical artifacts

Opening the Black Box: Explaining the Process of Basing a Health Recommender System on the I-Change Behavioral Change Model

Recommender systems are gaining traction in healthcare because they can tailor recommendations based on users' feedback concerning their appreciation of previous health-related messages. However, recommender systems are often not grounded in behavioral change theories, which may further increase the effectiveness of their recommendations. This paper's objective is to describe principles for designing and developing a health recommender system grounded in the I-Change behavioral change model that shall be implemented through a mobile app for a smoking cessation support clinical trial. We built upon an existing smoking cessation health recommender system that delivered motivational messages through a mobile app. A group of experts assessed how the system may be improved to address the behavioral change determinants of the I-Change behavioral change model. The resulting system features a hybrid recommender algorithm for computer tailoring smoking cessation messages. A total of 331 different motivational messages were designed using 10 health communication methods. The algorithm was designed to match 58 message characteristics to each user pro le by following the principles of the I-Change model and maintaining the bene ts of the recommender system algorithms. The mobile app resulted in a streamlined version that aimed to improve the user experience, and this system's design bridges the gap between health recommender systems and the use of behavioral change theories. This article presents a novel approach integrating recommender system technology, health behavior technology, and computer-tailored technology. Future researchers will be able to build upon the principles applied in this case study.European Union's Horizon 2020 Research and Innovation Programme under Grant 68112