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Algorithmic radicalization is the idea that algorithms used by social media platforms push people down digital “rabbit holes” by framing personal online activity. Algorithms control what people see and when they see it and learn from their past ...

An algorithmic nudge is any form of choice architecture in artificial intelligence systems that changes users’ behavior in a predictable way without forfeiting any options or significantly altering their technological choices.

Algorithmic bias refers to systematic and structured errors in an artificial intelligence system that generate unfair results and inequalities. This column discusses how bias in algorithms appears, amplifies over time, and shapes people’s thinking, ...

A human-centered artificial intelligence (AI) approach is proposed as a theoretical foundation and a practical guideline to achieve green and sustainable AI. The goal of this study is to contribute to the discussion of AI as both more sustainable and ...

A knowledge worker's goal commitment is critical to the success of system implementation in the organization. This paper investigates an individual's information formality motivation and social influence as important determinants in developing goal ...

The recent proliferation of artificial intelligence (AI) gives rise to questions on how users interact with AI services and how algorithms embody the values of users. Despite the surging popularity of AI, how users evaluate algorithms, how people ...

Understanding how algorithms shape users’ online experiences is a prerequisite to developing an effective algorithm design. Due to the rapid algorithmification of platforms, it is timely to examine users’ awareness of algorithms on online ...

• The roles algorithmic awareness (AA) plays in the adoption of online streaming platforms.
• How users respond to the algorithms.
• User intention to disclose information from the Privacy Calculus framework.
• Significant effects of ...

Drawing on the theory of affordance, we conceptualize affordance actualization for the metaverse games (MG) relative to the affordances of internalized and embodied experiences by users. Focusing on MG players' affordances, we examine ...

• How users actualize affordances with extended reality games.
• Mixed methods of ...

A number of artificial intelligence (AI) systems have been proposed to assist users in identifying the issues of algorithmic fairness and transparency. These AI systems use diverse bias detection methods from various perspectives, including ...

• With the conceptualization of the blockchain as a sociotechnical system, the crypto initiatives in Dubai are examined.

Distributed ledger technology is highlighted as a solid tool to address social and ecological challenges. Cryptocurrency is seen as a network with a socio-technical structure since the systems are composed of technical infrastructure ...

The exponential growth of algorithms has made establishing a trusted relationship between human and artificial intelligence increasingly important. Algorithm systems such as chatbots can play an important role in assessing a user’s credibility on ...

How do cultural values influence/are influenced by algorithms? A comparative study was conducted between the United States (US) and the United Arab Emirates (UAE) to investigate how users in the different cultures perceive the features of chatbot-...

• How do cultural values influence/are influenced by algorithms?
• How users in the different cultures perceive the features of chatbot-driven news?
• How users view ethical issues concerning chatbot journalism.
• Algorithms reflect ...

Although algorithms have been widely used to deliver useful services, how users actually experience algorithm-driven news remains unclear. This study examines user attitude and perception of algorithmic journalism and identifies the similarities and ...

• Algorithmic experience (AX) as an analytic framework for the experience of and interaction with algorithm systems.
• Conceptualizes AX and tests how it affects the satisfaction with and acceptance of algorithm services.
• The heuristic ...

Algorithms are progressively transforming human experience, especially, the interaction with businesses, governments, education, and entertainment. As a result, people are growingly seeing the outside world, in a sense, through the lens of ...

Privacy amid rapid digitalization of medical records is a critical ingredient to the success of electronic-based health service. This paper explores the potential roles of privacy attitudes concerning medical data, based on a large set ...

• Tenuous behavioral effects of both privacy concern and confidence were found.
• ...

• Analyzes how privacy and security concerns about blockchains have an impact on the user’s attitude and behavior.

Trust in individual relationships with blockchain has become an increasingly prominent issue.

This study introduces a key heuristic used to assess trust in blockchain by analyzing how privacy and security concerns about ...

As algorithm-based services increase, social topics such as fairness, transparency, and accountability (FAT) must be addressed. This study conceptualizes such issues and examines how they influence the use and adoption of algorithm ...

• Conceptualizes fairness, transparency, and accountability.
• How they influence ...

Ultra-high definition television (UHDTV) is designed using a variety of immersive technologies that are believed to promote user engagement. This study examines the immersion feature of UHDTV by focusing on user experience (UX) to ...

• Examine the immersion feature of UHDTV.
• User experience and quality perception ...

We proposed a model by framing personal information management (i.e. information transparency, proactiveness and sharing) as organizational citizenship behaviors with emphasizing their altruism nature in information system (IS) ...

• A model of personal information management as organizational citizenship behaviors.

In technology acceptance literature, few have studied end users' post-adoption attitude of technologies within organizational contexts before end-users start using the technology- the pre-implementation stage. This research proposes that perceived ...