Poong Oh
Biographic Data
| ID | 3926147 |
|---|---|
| NAME | Poong Oh |
| GIVEN NAMES | Poong |
| FAMILY NAME | Oh |
| SIGNATURE | OH P |
| AFFILIATIONS | Nanyang Technological University |
| ORCID | 0000-0002-9177-6335 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Algorithmic gender bias: Investigating perceptions of discrimination in automated decision-making
With the widespread use of artificial intelligence and automated decision-making (ADM), concerns are increasing about automated decisions biased against certain social groups, such as women and racial minorities. The public's skepticism and the danger of algorithmic discrimination are widely acknowledged, yet the role of key factors constituting the context of discriminatory situations is underexplored. This study examined people’s perceptions of…
‘Into the wolves’ den: An investigation of predictors of sexism in online games’
Online sexism against female gamers is reportedly common and pervasive, causing serious problems. To help solve these problems, the study identified various predictors of online game sexism, which is hypothesised to predict actual in-game harassment. Different from previous studies, the study approaches the problems from the perspective of perpetrators rather than victims. We proposed a theoretical model that include three groups of predictors: o…
Are automated accounts driving scholarly communication on Twitter? a case study of dissemination of Covid-19 publications
The Role of Online Media in Mobilizing Large-Scale Collective Action
This study investigates the role of online media in mobilizing large-scale collective action. Adopting the theoretical framework of collective action space, we formulated the organizing process of collective action into a model with two dimensions-hierarchy and closure-and analyzed how they influence mobilization. The model was tested against Twitter data collected during the 2020 Hong Kong protest, including a total of 54,365 tweets posted by 14…
An Evolutionary Model of the Emergence of Meanings
This study investigates the mechanism by which individuals learn to associate signals with meanings in a way that is agreeable to everyone, and thereby, to collectively produce common and stable signaling systems. Previous studies suggest that simple learning algorithms based on local interactions, such as reinforcement learning, sufficiently give rise to signaling systems in decentralized populations. However, those algorithms often fail to achi…
The Value of Questions in Organizing: Reconceptualizing Contributions to Online Public Information Goods
In contrast to previous research that treats question-Paskers as free- riders, this article conceptualizes questions and information requests as important forms of contribution to generating online public information goods. By requesting information, individuals make visible an informational need, calling for attention from those who may be able to fulfill that need and alerting those who share that need. Communicating questions can result in gro…
Evolutionary Theory and Models
This entry introduces the theory and models of evolution by natural selection as a powerful tool for examining changes that occur naturally in a wide range of complex and dynamic communication systems. The first section provides a brief overview of the development of evolution theory and discusses the difference between Darwinian evolution and other evolutionary ideas. The second section discusses the three fundamental mechanisms of Darwinian evo…
Network Theory and Models
This entry introduces the theory and models of communication networks as a powerful tool for examining the structural complexity and underlying dynamics of human communication. The first section provides a brief overview of the historical background on which network thinking was born and discusses its implications. The second section reviews early studies on communication networks and introduces several important network concepts such as centrali…
Evolution of what? A network approach for the detection of evolutionary forces
The Role of Online Media in Mobilizing Large-Scale Collective Action
This study investigates the role of online media in mobilizing large-scale collective action. Adopting the theoretical framework of collective action space, we formulated the organizing process of collective action into a model with two dimensions-hierarchy and closure-and analyzed how they influence mobilization. The model was tested against Twitter data collected during the 2020 Hong Kong protest, including a total of 54,365 tweets posted by 14…
Evolutionary Theory and Models
This entry introduces the theory and models of evolution by natural selection as a powerful tool for examining changes that occur naturally in a wide range of complex and dynamic communication systems. The first section provides a brief overview of the development of evolution theory and discusses the difference between Darwinian evolution and other evolutionary ideas. The second section discusses the three fundamental mechanisms of Darwinian evo…
Network Theory and Models
This entry introduces the theory and models of communication networks as a powerful tool for examining the structural complexity and underlying dynamics of human communication. The first section provides a brief overview of the historical background on which network thinking was born and discusses its implications. The second section reviews early studies on communication networks and introduces several important network concepts such as centrali…
Evolution of what? A network approach for the detection of evolutionary forces
The Value of Questions in Organizing: Reconceptualizing Contributions to Online Public Information Goods
In contrast to previous research that treats question-Paskers as free- riders, this article conceptualizes questions and information requests as important forms of contribution to generating online public information goods. By requesting information, individuals make visible an informational need, calling for attention from those who may be able to fulfill that need and alerting those who share that need. Communicating questions can result in gro…
An Evolutionary Model of the Emergence of Meanings
This study investigates the mechanism by which individuals learn to associate signals with meanings in a way that is agreeable to everyone, and thereby, to collectively produce common and stable signaling systems. Previous studies suggest that simple learning algorithms based on local interactions, such as reinforcement learning, sufficiently give rise to signaling systems in decentralized populations. However, those algorithms often fail to achi…
The Role of Online Media in Mobilizing Large-Scale Collective Action
This study investigates the role of online media in mobilizing large-scale collective action. Adopting the theoretical framework of collective action space, we formulated the organizing process of collective action into a model with two dimensions-hierarchy and closure-and analyzed how they influence mobilization. The model was tested against Twitter data collected during the 2020 Hong Kong protest, including a total of 54,365 tweets posted by 14…
‘Into the wolves’ den: An investigation of predictors of sexism in online games’
Online sexism against female gamers is reportedly common and pervasive, causing serious problems. To help solve these problems, the study identified various predictors of online game sexism, which is hypothesised to predict actual in-game harassment. Different from previous studies, the study approaches the problems from the perspective of perpetrators rather than victims. We proposed a theoretical model that include three groups of predictors: o…
Are automated accounts driving scholarly communication on Twitter? a case study of dissemination of Covid-19 publications
Algorithmic gender bias: Investigating perceptions of discrimination in automated decision-making
With the widespread use of artificial intelligence and automated decision-making (ADM), concerns are increasing about automated decisions biased against certain social groups, such as women and racial minorities. The public's skepticism and the danger of algorithmic discrimination are widely acknowledged, yet the role of key factors constituting the context of discriminatory situations is underexplored. This study examined people’s perceptions of…
Computer Science (9 works) · Sociology (5 works) · Opinion Dynamics and Social Influence (4 works) · Political science (4 works) · Psychology (4 works) · World Wide Web (4 works) · Complex Network Analysis Techniques (3 works) · Evolutionary Game Theory and Cooperation (3 works) · Biology (2 works) · Cognitive science (2 works)