Anastasia Menshikova
Biographic Data
| ID | 4207304 |
|---|---|
| NAME | Anastasia Menshikova |
| GIVEN NAMES | Anastasia |
| FAMILY NAME | Menshikova |
| SIGNATURE | MENSHIKOVA A |
| AFFILIATIONS | Linköping University |
| ORCID | 0009-0007-7740-0917 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Mechanisms of change
This paper investigates how two mechanisms reshape online meaning-making about immigration following focus events: discursive change , in which existing participants change how they frame immigration, and behavioral change , in which different users enter or exit discussions. Using seeded topic modeling on 7.5 million posts from the Swedish online forum Flashback (2010–2020), we analyze how the salience of cultural, economic, and security frames …
Computational Text Analysis for Building and Testing Social Theory
Digitization and advances in natural language processing have transformed how sociologists can measure, model, and interpret social life through text. We provide an overview of computational text analysis as a methodological tool kit for building and testing social theory. The field is moving from descriptive uses toward theory-driven and causal inference approaches, though methodological standards—especially around data quality, reproducibility,…
What Drives Anti-Immigrant Sentiments Online? A Novel Approach Using Twitter
Most studies use survey data to study people's prejudiced views. In a digitally connected world, research is needed on out-group sentiments expressed online. In this study, we show how one can elaborate on existing sociological theories (i.e. group threat theory, contact theory) to test whether anti-immigrant sentiments expressed on Twitter are related to sociological conditions. We introduce and illustrate a new method of collecting data on onli…
What Drives Anti-Immigrant Sentiments Online? A Novel Approach Using Twitter
Most studies use survey data to study people's prejudiced views. In a digitally connected world, research is needed on out-group sentiments expressed online. In this study, we show how one can elaborate on existing sociological theories (i.e. group threat theory, contact theory) to test whether anti-immigrant sentiments expressed on Twitter are related to sociological conditions. We introduce and illustrate a new method of collecting data on onli…
What Drives Anti-Immigrant Sentiments Online? A Novel Approach Using Twitter
Most studies use survey data to study people's prejudiced views. In a digitally connected world, research is needed on out-group sentiments expressed online. In this study, we show how one can elaborate on existing sociological theories (i.e. group threat theory, contact theory) to test whether anti-immigrant sentiments expressed on Twitter are related to sociological conditions. We introduce and illustrate a new method of collecting data on onli…
Mechanisms of change
This paper investigates how two mechanisms reshape online meaning-making about immigration following focus events: discursive change , in which existing participants change how they frame immigration, and behavioral change , in which different users enter or exit discussions. Using seeded topic modeling on 7.5 million posts from the Swedish online forum Flashback (2010–2020), we analyze how the salience of cultural, economic, and security frames …
Computational Text Analysis for Building and Testing Social Theory
Digitization and advances in natural language processing have transformed how sociologists can measure, model, and interpret social life through text. We provide an overview of computational text analysis as a methodological tool kit for building and testing social theory. The field is moving from descriptive uses toward theory-driven and causal inference approaches, though methodological standards—especially around data quality, reproducibility,…
Computational and Text Analysis Methods (2 works) · Immigration (2 works) · Salience (neuroscience) (2 works) · Artificial Intelligence (1 work) · Bridge (graph theory (1 work) · Causal inference (1 work) · Causal model (1 work) · Cognitive psychology (1 work) · Complex Network Analysis Techniques (1 work) · Computational linguistics (1 work)