Nnaemeka Ohamadike
Biographic Data
| ID | 4625033 |
|---|---|
| NAME | Nnaemeka Ohamadike |
| GIVEN NAMES | Nnaemeka |
| FAMILY NAME | Ohamadike |
| SIGNATURE | OHAMADIKE N |
| AFFILIATIONS | University of Johannesburg |
| ORCID | 0000-0002-8633-8103 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
How language divides
Polarization is typically conceptualized as increasing distance between opposing attitudes. We argue instead that it unfolds through asymmetries in the group‐differentiating power of opinion language. In public discourse, actors use distinctive linguistic repertoires to signal alignment, mark boundaries, and render opinion landscapes intelligible. Conventional attitude scales estimate the distributions of private belief but cannot capture how the…
Whose Centre Holds? White Normativity in Race Dimensions Across Word Embeddings
Bias in word embeddings is often measured using bipolar dimensions, constructed as the difference between two anchor centroids. This technique assumes both poles are symmetrical and equally informative. However, normativity literature shows that one category may function as the unmarked norm, with others framed as marked deviations. In race, whiteness typically holds the normative position, and embedding-based race dimensions may inherit the skew…
Alignment and Differentiation
This study examines the interplay between language and social connectedness in forming opinion‐based groups on social media. Drawing on small‐world theory and social identity theory, we propose a dual‐layer approach that combines semantic and network analysis to investigate the dynamics of group formation on X/Twitter during the 2021 COVID‐19 vaccination campaign in South Africa. Our findings reveal a nuanced process of social sorting, where user…
Anchoring race
Word embeddings have become powerful tools for detecting social biases encoded in language, yet research on measuring race bias through embeddings remains underdeveloped compared to studies on gender bias. This gap largely stems from the complexity of constructing race dimensions, which involve socially contested meanings and less clear semantic oppositions. Existing studies on race bias often rely on intuition and context-specific approaches whe…
The Covid-19 Information Void
The erosion of public trust in health information and government communication, particularly during crises like the Covid-19 pandemic, highlights a critical challenge in how health policies are transmitted and received. This study examines the dramatic shift in public sentiment toward Covid-19 vaccination in South Africa during 2021, a period that saw a decline from initial high acceptance to significant hesitancy. We argue that a process of soci…
No prominent works on this page.
The Covid-19 Information Void
The erosion of public trust in health information and government communication, particularly during crises like the Covid-19 pandemic, highlights a critical challenge in how health policies are transmitted and received. This study examines the dramatic shift in public sentiment toward Covid-19 vaccination in South Africa during 2021, a period that saw a decline from initial high acceptance to significant hesitancy. We argue that a process of soci…
How language divides
Polarization is typically conceptualized as increasing distance between opposing attitudes. We argue instead that it unfolds through asymmetries in the group‐differentiating power of opinion language. In public discourse, actors use distinctive linguistic repertoires to signal alignment, mark boundaries, and render opinion landscapes intelligible. Conventional attitude scales estimate the distributions of private belief but cannot capture how the…
Whose Centre Holds? White Normativity in Race Dimensions Across Word Embeddings
Bias in word embeddings is often measured using bipolar dimensions, constructed as the difference between two anchor centroids. This technique assumes both poles are symmetrical and equally informative. However, normativity literature shows that one category may function as the unmarked norm, with others framed as marked deviations. In race, whiteness typically holds the normative position, and embedding-based race dimensions may inherit the skew…
Alignment and Differentiation
This study examines the interplay between language and social connectedness in forming opinion‐based groups on social media. Drawing on small‐world theory and social identity theory, we propose a dual‐layer approach that combines semantic and network analysis to investigate the dynamics of group formation on X/Twitter during the 2021 COVID‐19 vaccination campaign in South Africa. Our findings reveal a nuanced process of social sorting, where user…
Anchoring race
Word embeddings have become powerful tools for detecting social biases encoded in language, yet research on measuring race bias through embeddings remains underdeveloped compared to studies on gender bias. This gap largely stems from the complexity of constructing race dimensions, which involve socially contested meanings and less clear semantic oppositions. Existing studies on race bias often rely on intuition and context-specific approaches whe…
Anchoring (2 works) · Language and cultural evolution (2 works) · Misinformation and Its Impacts (2 works) · Normative (2 works) · Authorship Attribution and Profiling (1 works) · Computational and Text Analysis Methods (1 works) · Discourse analysis (1 works) · Disengagement theory (1 works) · Divergence (linguistics) (1 works) · Embedding (1 works)