Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Merging Actors with Events: Introducing the Social Conflict Analysis Dataset – Organizational Properties (SCAD-OPs)

Domaine:

peace and security

Type de record:

dataset
Créateur:
SalFei
Éditeur:
Int
Éditeur:
Har
Hôte:avatar
Events data have been instrumental in the study of contentious politics. Yet such data often focus on the attributes of the events themselves— such as the number of participants, fatalities, and location—while providing scant information on those involved. To address this shortcoming, we introduce the Social Conflict Analysis Database— Organizational Properties (SCAD-OPs). This dataset categorizes the organizations and identity groups involved in the original SCAD, which allows analysts to answer important questions about who is involved in social conflict. Named entities are assigned to seventeen domains, or primary functional areas, including government, labor, criminal, activist, and so on. Individuals and groups that have a coherent identity— enabling researchers to track their activities over time—are assigned unique organizational codes, and factions within organizations are also identified. Presenting data from seven countries, we provide descriptive statistics on the types of entities most likely to be principal SCAD actors and targets across countries, as well as a preliminary analysis, linking participants with event types. We assess which domains are most likely to engage in peaceful protests, violent riots, strikes, and armed attacks. Finally, we discuss potential questions that can be addressed using this data.

Visit

doi.orgdataverse.harvard.edu

Tags

Social SciencesData, Social Conflict, Africa, Latin America

Licenses

info:eu-repo/semantics/openAccessCreative Commons Zero v1.0 Universalhttps://creativecommons.org/publicdomain/zero/1.0/legalcode

Similaires

Social Conflict Analysis Dataset - Organizational PropertiesACLED Conflict Events DatasetIntroducing a Swahili social media sentiment analysis dataset for the telecom industry

Social Conflict Analysis Dataset - Organizational Properties

This is an extension of the Social Conflict Analysis Database, providing identifying information for

ACLED Conflict Events Dataset

Conflict mapping, risk assessment, humanitarian aid targeting, policy planning Notes / challenges:

Introducing a Swahili social media sentiment analysis dataset for the telecom industry

Swahili is the most widely spoken language in Africa with over 200 million speakers. Despite its popularity in the continent, there is insufficient NLP research conducted on the language. The shortage of high-quality annotated datasets is attributed to this. In t