When Algorithmic Transparency Failed: Controversies Over Algorithm-Driven Content Curation in the South Korean Digital Environment

2021 ◽  
pp. 000276422198978
Author(s):  
Kitae Kim ◽  
Shin-Il Moon

Content curation in contemporary digital platforms leverages both algorithmic decision making and human judgment. As much as algorithm has become an integral part of digital configurations, there are growing concerns about the lack of accountability surrounding algorithm-driven digital services. The issue of algorithmic accountability is attributed not only to intrinsic opacity in computational processes but also to the lack of transparency in platform governance. This article discusses two controversial cases surrounding algorithmic transparency in the South Korean digital environment. It first epitomizes the notion of algorithmic transparency as a prerequisite for accountability. Then, it situates the use of algorithms for online content curation in the South Korean digital environment to illustrate how algorithmic transparency is complicated by sociopolitical conditions. Finally, this research offers several suggestions for promoting a more accountable algorithm society.

2020 ◽  
Vol 26 (6) ◽  
pp. 629-642
Author(s):  
T. A. Gileva ◽  
A. V. Babkin ◽  
G. A. Gilev

The presented study analyzes the processes of creating ecosystems in the context of external challenges and increasing the level of competitive market environment and global digitalization of business to develop a strategy for the digital transformation of an enterprise.Aim. The study aims to assess the practicability of creating ecosystems when developing a strategy for the digital transformation of traditional (“defensive”) enterprises and to provide recommendations for their utilization.Tasks. The authors analyze the characteristics, features, and typology of business ecosystems; substantiate the need to analyze and use the capabilities of business ecosystems in the development of a strategy for corporate development in the digital environment; describe the essence, key aspects of development, and propose a modular structure for the strategy of the digital transformation of an enterprise; develop a conceptual framework for the strategic management of the digital transformation of an enterprise; formulate recommendations for selecting ecosystems that would enhance the enterprise’s competitiveness.Methods. This study uses general scientific methods of cognition in various aspects to propose approaches and a conceptual model of the corporate digital transformation strategy with allowance for the capabilities of business ecosystems.Results. The authors show that in the context of the developing digital economy, business ecosystems have become a new way to organize economic activity due to their high efficiency and rapid scaling. There are two major types of ecosystems: centralized (transaction) ecosystems in the form of digital platforms and adaptive (solution) ecosystems formed by the orchestrating company to create a new value proposition by joint efforts of partners from various industries through direct interaction with each other. The study identifies stages in the development of a digital transformation strategy based on enhancing the enterprise’s competitiveness through its participation in the ecosystem(s) and formulate recommendations for selecting ecosystems that would improve the efficiency of the enterprise.Conclusions. Ecosystem development is a business trend that determines the competitiveness of enterprises and improves the efficiency of their operation in the digital environment. Therefore, under modern conditions, an enterprise should develop its digital transformation strategy based on the creation and/or use of business ecosystems.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric Bogert ◽  
Aaron Schecter ◽  
Richard T. Watson

AbstractAlgorithms have begun to encroach on tasks traditionally reserved for human judgment and are increasingly capable of performing well in novel, difficult tasks. At the same time, social influence, through social media, online reviews, or personal networks, is one of the most potent forces affecting individual decision-making. In three preregistered online experiments, we found that people rely more on algorithmic advice relative to social influence as tasks become more difficult. All three experiments focused on an intellective task with a correct answer and found that subjects relied more on algorithmic advice as difficulty increased. This effect persisted even after controlling for the quality of the advice, the numeracy and accuracy of the subjects, and whether subjects were exposed to only one source of advice, or both sources. Subjects also tended to more strongly disregard inaccurate advice labeled as algorithmic compared to equally inaccurate advice labeled as coming from a crowd of peers.


Author(s):  
Su Yeon Roh ◽  
Ik Young Chang

To date, the majority of research on migrant identity negotiation and adjustment has primarily focused on adults. However, identity- and adjustment-related issues linked with global migration are not only related to those who have recently arrived, but are also relevant for their subsequent descendants. Consequently, there is increasing recognition by that as a particular group, the “1.5 generation” who were born in their home country but came to new countries in early childhood and were educated there. This research, therefore, investigates 1.5 generation South Koreans’ adjustment and identity status in New Zealand. More specifically, this study explores two vital social spaces—family and school—which play a pivotal role in modulating 1.5 generation’s identity and adjustment in New Zealand. Drawing upon in-depth interviewing with twenty-five 1.5 generation Korean-New Zealanders, this paper reveals that there are two different experiences at home and school; (1) the family is argued to serve as a key space where the South Korean 1.5 generation confirms and retains their ethnic identity through experiences and embodiments of South Korean traditional values, but (2) school is almost the only space where the South Korean 1.5 generation in New Zealand can acquire the cultural tools of mainstream society through interaction with English speaking local peers and adults. Within this space, the South Korean 1.5 generation experiences the transformation of an ethnic sense of identity which is strongly constructed at home via the family. Overall, the paper discusses that 1.5 generation South Koreans experience a complex and contradictory process in negotiating their identity and adjusting into New Zealand through different involvement at home and school.


2007 ◽  
Vol 39 (1) ◽  
pp. 47-60 ◽  
Author(s):  
Shida Rastegari Henneberry ◽  
Seong-huyk Hwang

The first difference version of the restricted source-differentiated almost ideal demand system is used to estimate South Korean meat demand. The results of this study indicate that the United States has the most to gain from an increase in the size of the South Korean imported meat market in terms of its beef exports, while South Korea has the most to gain from this expansion in the pork market. Moreover, the results indicate that the United States has a competitive advantage to Australia in the South Korean beef market. Results of this study have implications for U.S. meat exports in this ever-changing policy environment.


Sign in / Sign up

Export Citation Format

Share Document