Ju-sung Lee
Biographic Data
| ID | 4000213 |
|---|---|
| NAME | Ju-sung Lee |
| GIVEN NAMES | Ju-sung |
| FAMILY NAME | Lee |
| SIGNATURE | LEE J S |
| AFFILIATIONS | Erasmus University Rotterdam |
| ORCID | 0000-0002-4158-2700 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 29 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Symbolic trajectories in action: Digital technologies and representations of a stigmatized neighborhood
The symbolic standing of a neighborhood has material consequences, and stigmatized neighborhoods are often locked into a disadvantageous position. So far scholars have mostly studied neighborhood change in terms of degradation or upgrading, but we adopt a complex perspective that accounts for the contested nature of the processes shaping “symbolic trajectories.” Seeking to gauge the role played by digital technologies in these processes, we studi…
Media and representation of others. Case of Iran in the 2020 Tokyo Olympics
Nowadays, the media plays a key part in representing nations in mega-sporting events. In this study, we aimed to examine how Western English-language news sources represented Iran, as an Eastern and Islamic country, in the 2020 Tokyo Olympics. To accomplish this, data were collected using LexisNexis Academic, Google Search, and Google News tools. We utilised topic modelling, a text summarisation technique for data analysis. The analysis generated…
Urban Data Analytics as Research Topic, Method and Ethical Concern
Local and global business interests assemble images of neighbourhoods from localised knowledge, including disparate forms of public data such as reviews, blog posts, and open data from municipalities and other organisations. (In)visible forms of working with and worrying about neighbourhood data can be understood as an engagement with the neighbourhood’s reputation, or rather its symbolic trajectory: a set of tangible and intangible indicators th…
Narratives of the Refugee Crisis: A Comparative Study of Mainstream-Media and Twitter
The European refugee crisis received heightened attention at the beginning of September 2015, when images of the drowned child, Aylan Kurdi, surfaced across mainstream and social media. While the flows of displaced persons, especially from the Middle East into Europe, had been ongoing until that date, this event and its coverage sparked a media firestorm. Mainstream-media content plays a major role in shaping discourse about events such as the re…
Refugee or Migrant Crisis? Labels, Perceived Agency, and Sentiment Polarity in Online Discussions
In recent years, increasing attention has been dedicated to the hazardous and volatile situation in the Middle East, a crisis which has pushed many to flee their countries and seek refuge in neighboring countries or in Europe. In describing or discussing these tragic events, labels such as “European migrant crisis” and “European refugee crisis” started being widely used by the media, politicians, and the online world alike. The use of such labels…
The Complexities of Agent-Based Modeling Output Analysis
The proliferation of agent-based models (ABMs) in recent decades has motivated model practitioners to improve the transparency, replicability, and trust in results derived from ABMs. The complexity of ABMs has risen in stride with advances in computing power and resources, resulting in larger models with complex interactions and learning and whose outputs are often high-dimensional and require sophisticated analytical approaches. Similarly, the i…
Inferring Logit Models from Empirical Margins Using Proxy Data
We examine several approaches for inferring logit models from empirical margins of predictor covariates and conditional margins containing the means of a binary response for each covariate margin. One method is to fit proxy data to the conditional response using the beta distribution, a process we call “margin analysis.” Proxy data can obtained using three approaches: (1) implementing the iterative proportional fitting (IPF) procedure on the marg…
Refugee or Migrant Crisis? Labels, Perceived Agency, and Sentiment Polarity in Online Discussions
In recent years, increasing attention has been dedicated to the hazardous and volatile situation in the Middle East, a crisis which has pushed many to flee their countries and seek refuge in neighboring countries or in Europe. In describing or discussing these tragic events, labels such as “European migrant crisis” and “European refugee crisis” started being widely used by the media, politicians, and the online world alike. The use of such labels…
Media and representation of others. Case of Iran in the 2020 Tokyo Olympics
Nowadays, the media plays a key part in representing nations in mega-sporting events. In this study, we aimed to examine how Western English-language news sources represented Iran, as an Eastern and Islamic country, in the 2020 Tokyo Olympics. To accomplish this, data were collected using LexisNexis Academic, Google Search, and Google News tools. We utilised topic modelling, a text summarisation technique for data analysis. The analysis generated…
Inferring Logit Models from Empirical Margins Using Proxy Data
We examine several approaches for inferring logit models from empirical margins of predictor covariates and conditional margins containing the means of a binary response for each covariate margin. One method is to fit proxy data to the conditional response using the beta distribution, a process we call “margin analysis.” Proxy data can obtained using three approaches: (1) implementing the iterative proportional fitting (IPF) procedure on the marg…
The Complexities of Agent-Based Modeling Output Analysis
The proliferation of agent-based models (ABMs) in recent decades has motivated model practitioners to improve the transparency, replicability, and trust in results derived from ABMs. The complexity of ABMs has risen in stride with advances in computing power and resources, resulting in larger models with complex interactions and learning and whose outputs are often high-dimensional and require sophisticated analytical approaches. Similarly, the i…
Refugee or Migrant Crisis? Labels, Perceived Agency, and Sentiment Polarity in Online Discussions
In recent years, increasing attention has been dedicated to the hazardous and volatile situation in the Middle East, a crisis which has pushed many to flee their countries and seek refuge in neighboring countries or in Europe. In describing or discussing these tragic events, labels such as “European migrant crisis” and “European refugee crisis” started being widely used by the media, politicians, and the online world alike. The use of such labels…
Narratives of the Refugee Crisis: A Comparative Study of Mainstream-Media and Twitter
The European refugee crisis received heightened attention at the beginning of September 2015, when images of the drowned child, Aylan Kurdi, surfaced across mainstream and social media. While the flows of displaced persons, especially from the Middle East into Europe, had been ongoing until that date, this event and its coverage sparked a media firestorm. Mainstream-media content plays a major role in shaping discourse about events such as the re…
Urban Data Analytics as Research Topic, Method and Ethical Concern
Local and global business interests assemble images of neighbourhoods from localised knowledge, including disparate forms of public data such as reviews, blog posts, and open data from municipalities and other organisations. (In)visible forms of working with and worrying about neighbourhood data can be understood as an engagement with the neighbourhood’s reputation, or rather its symbolic trajectory: a set of tangible and intangible indicators th…
Media and representation of others. Case of Iran in the 2020 Tokyo Olympics
Nowadays, the media plays a key part in representing nations in mega-sporting events. In this study, we aimed to examine how Western English-language news sources represented Iran, as an Eastern and Islamic country, in the 2020 Tokyo Olympics. To accomplish this, data were collected using LexisNexis Academic, Google Search, and Google News tools. We utilised topic modelling, a text summarisation technique for data analysis. The analysis generated…
Symbolic trajectories in action: Digital technologies and representations of a stigmatized neighborhood
The symbolic standing of a neighborhood has material consequences, and stigmatized neighborhoods are often locked into a disadvantageous position. So far scholars have mostly studied neighborhood change in terms of degradation or upgrading, but we adopt a complex perspective that accounts for the contested nature of the processes shaping “symbolic trajectories.” Seeking to gauge the role played by digital technologies in these processes, we studi…
Sociology (4 works) · Computer Science (3 works) · Law (3 works) · Political science (3 works) · Gender Studies (2 works) · Media studies (2 works) · Narrative (2 works) · News media (2 works) · Politics (2 works) · Refugee crisis (2 works)