Published October 24, 2023 | Version 1.0.0
Dataset Restricted

OKG: A Knowledge Graph for Fine-grained Understanding of Social Media Discourse on Inequality

  • 1. ROR icon Sony Computer Science Laboratories
  • 2. ROR icon Vrije Universiteit Amsterdam
  • 3. ROR icon University of Bremen
  • 4. ROR icon Venice International University
  • 5. ROR icon Ca' Foscari University of Venice

Contributors

Supervisor:

  • 1. ROR icon Vrije Universiteit Amsterdam

Description

The Observatory Knowledge Graph (OKG) is a knowledge graph with tweets on inequality in terms of the OBIO ontology (https://w3id.org/okg/obio-ontology/), which integrates social media metadata with various types of linguistic knowledge. The OKG can be used as the backbone of a social media observatory, to facilitate a deeper understanding of social media discourse on inequality.

We retrieved tweets and retweets published from the end (30th) of May 2020 to the beginning (1st) of May 2023.

In this version of the OKG, we use a sample of 85,247 tweets, published from May 30th to August 27th, 2020. To be compliant with Twitter's policies, we remove usernames and id's, as well as the tweet texts and sentences. We also replace user IRIs with skolem IRIs through skolemization. 

Access to the OKG as well as the SPARQL endpoint can be requested by sending a mail to the contact person with the following information: 

  1. A description of the use case 
  2. Affiliation of the researchers involved
  3. How their work is in line with Twitter's policies: https://developer.twitter.com/en/developer-terms/policy#4-d

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Additional details

Related works

Is published in
Conference proceeding: 10.1145/3587259.3627557 (DOI)

Dates

Available
2023-10-24