Replication Data for "Citizen-Elite Toxicity and Political Equality Online" contains an analysis of Twitter conversations between citizens and candidates during the 2021 German national election. The dataset, authored by Jana Belschner for Perspectives on Politics, includes a full sample of 875,028 tweets to examine correlations between candidate identity, role, and behavior with the frequency, form, and consequences of toxic replies.
Use Cases
- Analyze correlations between candidate political affiliation and toxic replies based on the description of right-wing candidates receiving more toxicity.
- Study behavioral hypotheses linking a candidate's own toxic tweets to reduced future activity based on the described findings.
- Examine differences in attack forms targeting frontbenchers versus marginalized group candidates based on the described patterns of personal versus policy-directed insults.
Strengths
- Full sample of 875,028 Twitter conversations provides a substantial basis for analysis.
- Analysis covers multiple dimensions: candidate identity, role, and online behavior.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Jana Belschner, Perspectives on Politics
- Collection Method
- Analysis of Twitter conversations during the 2021 German national election.
- Time Range
- 2021 German national election period
- Freshness
- Last updated 2026-06-18 02:35:33; freshness should be verified.
- Geography
- Germany