Donghee Shin

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 activities. As such, people gradually and subconsciously adopt the ideas presented to them by the rabbit...

Personalized news recommendation systems (NRSs) have become essential tools for users to view the vast amount of online news. Current NRSs, however, face crucial challenges in ensuring users’ right to view diverse news and viewpoints. We propose a conceptual framework for personalized recommendation nudges that can promote diverse news consumption...

ChatGPT has opened a new front in the fake news wars. This chapter is motivated by the rapidly improving capabilities and accessibility of generative AI and rapidly increasing misinformation problems. Misinformation is by no means a new phenomenon, yet its trend is highlighted by the emergence of AI. It might be useful to see misinformation in the...

AI-enabled services, such as chatbots and generative systems, are often unable to generate correct information per user request, thus creating user resistance and preventing the smooth diffusion of AI services. Previous research has mostly addressed how to improve AI responses but fails to consider user resistance against misinformation from AI. Ba...

The diffusion of misinformation has garnered considerable attention in our society. As algorithms have been considered one of the major drivers behind the spread and amplification of misinformation, it is useful to understand the effects of these algorithms on misinformation sharing and the manner in which they spread it. This chapter examines the...

The growing prominence of deepfakes in the last several years has triggered an ongoing discussion of authenticity online and of the distinction between fact and fiction. Deepfakes, which use deep learning involving AI to generate videos or fake events, are highly realistic synthetic media that can be abused to threaten an organization’s brand; to i...

This study examines the impact of artificial intelligence (AI) on the ways in which users process and respond to misinformation in generative artificial intelligence (GenAI) contexts. Drawing on the heuristic–systematic model and the concept of diagnosticity, our approach examines a cognitive model for processing misinformation in GenAI. The study’...

Purpose This study examined how people assess health information from AI and improve their diagnostic ability to identify health misinformation. The proposed model was designed to test a cognitive heuristic theory in misinformation discernment. Design/methodology/approach We proposed the heuristic-systematic model to assess health misinformation p...

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.

In this study, we measured female college students' mental health and physical activities to identify factors that affect their intention to use wearable health-monitoring devices. Specifically, the study derived correlations between female students' health-related quality of life (HRQoL) including, physical activity, stress level, attitudes toward...

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, potentially leading to discrimination.

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 greener.

Considering limited research on the effects of misinformation on e-cigarettes and correcting it, especially in Middle Eastern countries, this study investigates the effects of different e-cigarette-information types on smokers’ behavioral intentions, and the effects of the source of misinformation-correction messages on UAE smokers. The study found...

Objectives The purposes of this study were to analyze status, history and policy, science and social studies curriculum, textbooks of nuclear power in major countries. Methods In accordance with global nuclear policies, the United States and Japan were selected as countries to expand and maintain nuclear power plants. In the case of a country aboli...

Research has revealed that the diffusion of misinformation online can be attributed to inaccuracies in human cognitive reasoning. We examine the nudging effect of Accuracy Alerts on users’ ability to discern misinformation and how their trust moderates this effect. The results from a 2 (accuracy nudge: with nudge vs. no nudge) × 2 (news source type...

Algorithms, humans, and interactions: How do algorithms interact with people? Designing meaningful ai experiences.

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 commitment in the system implementation based on the social psychology and information management lit...

Through the lens of trust–commitment and co-creation theories, this study explores the effect of trust on commitment and co-creation intentions within the free-to-play (F2P) gaming industry, to extend our understanding of co-creation within a service context. Responses from an online survey were used as inputs into a structural equation model (SEM)...

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 platforms because these algorithms can shape everyday decisions and interactions through mediating, gatekeeping...

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 exploratory cues, interpretable tools, and revealing algorithms. This study explains the design of AI systems...

We examine the relationship between media use motivations and attitudes toward female politicians by proposing a conceptual model explaining the role of key mediating variables such as identification, narrative transportation, enjoyment, and political self-efficacy in influencing the attitude of the viewers of international TV drama towards female...

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 and the social relations between users of the crypto ecosystem. The sociopolitical ramifications of cryptocurrency a...

With the rapid increase in the use and implementation of AI in the journalism industry, the ethical issues of algorithmic journalism have grown rapidly and resulted in a large body of research that applied normative principles such as privacy, information disclosure, and data protection. Understanding how users’ information processing leads to info...

With the rapid increase in the use and implementation of AI in the journalism industry, the ethical issues of algorithmic journalism have grown rapidly and resulted in a large body of research that applied normative principles such as privacy, information disclosure, and data protection. Understanding how users’ information processing leads to info...

BACKGROUND: While the intensive work-related use of information and communication technologies after working hours have led to increased techno-invasion, much less is known regarding whether and for whom techno-invasion influences job satisfaction. OBJECTIVE: Drawing on the conservation of resources theory and person-environment fit theory, this st...

Purpose How does algorithmic information processing affect the thoughts and behavior of artificial intelligence (AI) users? In this study, the authors address this question by focusing on algorithm-based chatbots and examine the influence of culture on algorithms as a form of digital intermediation. Design/methodology/approach The authors conducte...

Digital platforms have empowered individuals and communities to re-negotiate long-established notions of religion and authority. A new generation of social media influencers has recently emerged in the Muslim world. They are western-educated, unique storytellers, and savvy in digital media production. This raises new questions on the future of Isla...

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 they affect the user experience by exploring how affordances are realized and enacted in an extended environmen...

The speed and rate of technological adoption have been accelerating over the past decades. It's always been a question of how human being reacts to the growth of digital technology. On behalf of the editorial advisers, board members, and the editor team of Social Science Asia, volume 8, Number 2, 2022, the International College at Panyapiwat Instit...

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 algorithms. Unless users believe the chatbot’s information is credible, they are not likely to be willi...

Public libraries must respond to the needs of the communities they serve in order to remain relevant, but assessing these needs is especially challenging in the midst of the rapid development of information technology. This study examines needs assessments to understand the user community, library services, and expected sources to determine user ne...

This research aims to determine the key antecedent factors in consumers’ adoption of and their intention to recommend smartwatch wearable technology. The proposed research model combines the current technology acceptance and innovation diffusion theories with perceived aesthetic and perceived privacy risk to explain individuals’ smartwatch adoption...

This study evaluates the impact of casting ethnically identical actors in advertisements to elicit a favourable attitude towards the advertisement and the product. Our study explores the effectiveness of cross-cultural advertising and investigates the effectiveness of advertisements. In this experimental study, a national sample (N = 252) was recru...

Purpose As algorithms permeate nearly every aspect of digital life, artificial intelligence (AI) systems exert a growing influence on human behavior in the digital milieu. Despite its popularity, little is known about the roles and effects of algorithmic literacy (AL) on user acceptance. The purpose of this study is to contextualize AL in the AI en...

The purpose of this study is to investigate the diffusion of smartness in hospitality and, furthermore, the assimilation of smart technologies in hotel business units. A qualitative exploratory investigation with an abductive research approach was adopted and data were collected through in-depth interviewing of 39 hotel managers in the highly advan...

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-driven news and how they view ethical issues concerning chatbot journalism. Different models of chatbot...

Social networking sites (SNSs) provide a set of affordances that allow young adults to represent various aspects of their gendered identities and construct their identity-related experiences. This paper adopts Goffman’s concepts in relation to social media and his dramaturgical theories of the self as a framework for the study of online self-presen...

Professional and academic debates on the role of media accountability instruments (MAIs) have so far largely focused on Western democracies and on solving the issues of transparency and trust through press and media councils, ombudspersons, media criticism fora, and digital forms of media accountability. They have notably ignored the disruptive for...

Professional and academic debates on the role of media accountability instruments (MAIs) have so far largely focused on Western democracies and on solving the issues of transparency and trust through press and media councils, ombudspersons, media criticism fora, and digital forms of media accountability. They have notably ignored the disruptive for...

As the use of algorithms has emerged in journalism, analytic/algorithmic journalism (AJ) has seen rapid development in major news organizations. Despite this surging trend, little is known about the role and the effects of explainability on the process by which people perceive and make sense of trust in an algorithm-driven AI system. While AJ has g...

This study conceptualises a framework of technological affordances for augmented reality games (ARG) relative to the affordances of internalised and embodied experiences by users. This study examines players’ affordances and investigate how they influence user experience in ARG. It explores how affordances are perceived and enacted by users in an a...

This meta-analysis addressed the effects of mediated violence on the enjoyment audiences experienced after exposure to a diverse array of entertainment programs. Published journal articles were collected and effect sizes were analyzed to examine if there were differences in the enjoyment of violent content. Through the lens of a fixed effects model...

How much do anthropomorphisms influence the perception of users about whether they are conversing with a human or an algorithm in a chatbot environment? We develop a cognitive model using the constructs of anthropomorphism and explainability to explain user experiences with conversational journalism (CJ) in the context of chatbot news. We examine h...

Artificial intelligence and algorithmic decision-making processes are increasingly criticized for their black-box nature. Explainable AI approaches to trace human-interpretable decision processes from algorithms have been explored. Yet, little is known about algorithmic explainability from a human factors’ perspective. From the perspective of user...

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 perceive algorithmic decisions, and how they relate to algorithmic functions remain largely unexplored....

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 differences in experience and satisfaction formation. A comparative study between the United States...

Within the technology acceptance literature, the issue of top management support and commitment has been studied extensively; however, the issue of leadership per se has not been addressed directly. A missing piece of the leadership puzzle as it relates to technology acceptance is an exploration of how top management support gets translated in the...

Objectives This study considers the affordance of users' perceived technological property of blockchains and investigates how users discover the possible actions that can be performed within blockchain media. With a focus on the role of trust, it analyzes how motivational affordances in blockchain media influence user experience Methods Qualitativ...

In this paper, we present an ontology-based approach to analyze depression of family caregivers of patients with Alzheimer's disease. First, we developed depression ontology called OntoDepression considering the language written in social media. Four major classes and specialized subclasses are defined based on the online social media, dailyStrengt...

With the growing presence of algorithms and their far-reaching effects, artificial intelligence (AI) will be mainstream trends any time soon. Despite this surging popularity, little is known about the processes through which people perceive and make a sense of trust through algorithmic characteristics in a personalized algorithm system. This study...

Algorithmic journalism (AJ) has become widely popular, emerging in mainstream trends. Despite this surging popularity, little is known about the ways through which readers understand and actualize the potential for trust or affordances in AJ. The goal of the study is to highlight principles of algorithmic process in AJ and the processes these princ...

Purpose Although Leader-Member Exchange (LMX) has been studied within the domain of organizational psychology, it has not received major attention from information systems literature and researchers. Drawing on LMX theory and the theory of reasoned interaction, this study investigates the roles of LMX, individual member's attitude toward system ado...

Purpose With the conceptualization of the blockchain as a socio-technical assemblage, this study aims to critically examine the blockchain initiatives in Korea in terms of the opportunities, risks and challenges embedded in their development. Design/methodology/approach This paper analyzes blockchain design and development from socioecological vie...

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 blockchains have an impact on the user's attitude and behavior. It proposes a blockchain user model by integrating security and pr...

Objectives This study used ecological momentary assessment (EMA) to understand how the contextual factors of everyday life affect physical activity in terms of steps measured by wearable activity tracking devices and to identify what factors increase physical activity. In addition, this study investigated and analyzed the user environment and resul...

Social networking sites (SNSs) provide a set of affordances that allow young adults to represent various aspects of their gendered identities and construct their identity-related experiences. This paper adopts Goffman's concepts in relation to social media and his dramaturgical theories of the self as a framework for the study of online self-presen...

Purpose This study takes an affordance approach to explain how users perceive the affordance of user action within blockchain and examines how it influences the subsequent user experience. Focusing on the effect of trust on cognitive processes, the authors analyze how affordances in blockchains affect the user experience. Design/methodology/approa...

Background: Activity trackers are becoming increasingly popular, but patients often hesitate to share the data from such devices with their health care providers. Researchers have shown that sharing everyday health data with physicians can foster greater patient engagement. Objectives: This research is intended to investigate activity tracker us...

Although algorithms have been widely used to deliver useful applications and services, it is unclear how users actually experience and interact with algorithm-driven services. This ambiguity is even more troubling in news recommendation algorithms, where thorny issues are complicated. This study investigates the user experience and usability of alg...

The main objective of this study was to investigate how and when online product presentation influences individual purchase intention of wearable devices in China. This study hypothesized that online product presentation would influence individual mental imagery, which, in turn, would impact purchase intention through perceived social risk and posi...

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 algorithms. Despite the importance of algorithmic experience (AX), few studies had been devoted to investigati...

In this paper, we present an ontology-based approach to analyze depression of family caregivers of Alzheimer’s disease patients. First, we developed depression ontology called OntoDepression considering the language written in social media. Four major classes and specialized subclasses are defined based on the dailyStrength, which is a well-known s...

The goal of this study was to examine the effects of interaction techniques (e.g., swiping and tapping) and the range of thumb movements on interactivity, engagement, attitude, and behavioral intention in single-handed interaction by focusing on interactions with mobile devices such as smartphones. This study adopted the perspective of the hybrid d...

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 of a national sample data (n = 2638) from the U.S. Health Information National Trend Survey. We examine the ways i...

The Internet of things (IoT) affords people plenty of opportunities and a higher quality of life as well as drives a huge amount of data. By drawing on the concept of affordances, this study examines the user experience of personal informatics focusing on the technological and affective nature of affordance. A multi-mixed approach is used by combin...

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 blockchains have an impact on the user’s attitude and behavior. It proposes a blockchain user model by integrating security and pr...

Purpose The purpose of this study is to offer a roadmap for work on the ethical and societal implications of algorithms and AI. Based on an analysis of the social, technical and regulatory challenges posed by algorithmic systems in Korea, this work conducts socioecological evaluations of the governance of algorithmic transparency and accountability...