... operations. However, challenges like inadequate technical infrastructure and over-reliance on algorithms, as highlighted by Abbas et al. (2023) , signal areas needing targeted intervention. The reviewed studies reveal a consensus on the necessity of training programs for media professionals to effectively...

... and missing considerations within the current GenAI systems being used for consultation, forecasting, and decision-making and to improve the safety of future AI systems and human partnership with these. Divination and oracles generative AI LLMs and chatbots cultural practices and anthropology algorithms...

...Individuals who search for expert advice can now obtain it through algorithmic expert services. Expert advice is generated by an algorithmic system and provided over a digital interface. Human experts disappear from direct interaction with clients, but instead orchestrate the algorithmic...

...Algorithms platform data activism social network sites participation This chapter explores the role of platform affordances and algorithms in shaping users’ identities and behavior within platforms, as well as the resulting implications and acts of data activism. Although users are active...

...Platforms affordances data activism resistance algorithms AI activism This book has explored the intersecting dynamics of platforms’ affordances and user agency across the socio-technical environments of platforms and the recent development of artificial intelligence (AI) through the lens...

...Volume 95 of Research in the Sociology of Organizations explores the phenomenon of “algorithmic organizing,” the embedding of data-driven computational processes into organizational structures, processes, and everyday work. Through diverse empirical studies across four thematic sections...

...How do professionals create algorithms to generate novel insights? In this inductive study of data science routines, we develop a theory that explains how professionals dynamically create and redesign artifacts to surface insights that guide decision-making and routines. We find that professional...

...: collecting, annotating, and recalibrating, we propose methodological insights and tips that can help ethnographers uncover how ML tools are shaped by relations among entities, both pre-existing and emerging, across levels of analysis. Ethnography data work algorithms technology development research...

...We explore the increasing role of algorithms in organizational processes, conceptualized as “algorithmic organizing.” As algorithms move from being mere tools to embedded drivers of organizational processes, they redefine traditional boundaries in work practices. Drawing on the assemblage...

...Abstract This chapter explores ‘algorithmic management’ ( Meijerink & Bondarouk, 2023 ), automated decision-making in human resource management (HRM) in the context of the datafied future of work. This chapter argues that the coding element of algorithmic decision-making is a fundamental...

... stickiness perspectives. It identifies three key factors that affect user stickiness: platform algorithms, content resources and user interaction. An interpretive philosophy and inductive qualitative approach were adopted to conduct an in-depth case study of DOUYIN. Thematic analysis of secondary data from...

... for identity negotiation, aesthetic appreciation, data extraction and commodification, which highlights both the creative agency of digital aesthetic curation and self-work, as well as the importance of algorithmic transparency. I also contend that engaging with excess data led to methodologically...

...Abstract Machine learning is an algorithmic-based auto-learning mechanism that improves from its experiences. It makes use of a statistical learning method that trains and develops on its own without the assistance of a person. Data, characteristics deduced from the data, and the model make up...

... observed in platform capitalism in general. Finally, the authors discuss the implications of platform capitalism for online drug markets. Online drug markets platform capitalism dialectical method cryptomarkets user data algorithms Introducing Digital Transformations and Cryptomarkets This chapter...

..., and the transformation of innovation. Artificial Intelligence Human Resources Business Practices Employee Administration Recruitment Training Skills Motivation Industrial Relations Climate Risks Data Gadgetization Algorithms Innovation The term artificial intelligence (AI) is polysemous and AI itself...

... the algorithms that can be used to complete the whole recruitment and selection process. Companies like Loreal use AI for candidate applications and recruiter screening, but human recruiters stand strong for assessments and interviews. AI’s widespread use presents human resource management (HRM) practitioners...

...Abstract Purpose: This study explores the perspectives of data experts (DXs) and refugees on the algorithms used by law enforcement officers and focuses on emerging insecurities. The authors take police risk-scoring algorithms (PRSA) as a proxy to examine perceptions on algorithms that make...

... ups. Yet, it beat out all other dining establishments in London to be ranked #1 of 17,464 restaurants on TripAdvisor’s Popularity Index algorithm. This top ranking – along with the media attention that ensued – was very influential for a small restaurant run by a young couple who had started...

... and serve platform owners like Uber as a discursive trope to present themselves as neutral intermediaries empowering individuals. But beyond the contested discourses around the “platform,” the thinking algorithmic infrastructures of such digital platforms help configure specific sharing economies...

... . Information and Organization , 24 ( 4 ), 250 – 269 . Woodward, 2000 Woodward , S. ( 2000 ). Decision Point gets $16 million infusion . The Oregonian , May 4, p. B1 . Ziewitz, 2016 Ziewitz , M. ( 2016 ). Governing algorithms: Myth, mess, and methods . Science, Technology and Human...