Published October 3, 2023 | Version 1.0

Russo-Ukrainian War: Prediction and explanation of Twitter suspension

  • 1. School of Electrical and Computer Engineering, Technical University of Crete
  • 2. Foundation for Research and Technology Hellas

Description

The dataset utilized in the research paper: "Russo-Ukrainian War: Prediction and explanation of Twitter suspension" accepted to ASONAM 2023 conference. The provided dataset contains multiple extracted feature categories based on the Twitter dataset collected during the Russo Ukrainian War. The dataset dose not contain any private user information since user and tweet IDs are removed.

Notes

We have collected a Twitter corpus related to the Russo-Ukrainian War. We use the Twitter streaming API to retrieve public tweets using popular hashtags related to the selected topic . Our data collection contains 107735220 tweets from 9851176 users starting from February 23, 2022. To label suspended accounts, we also use Twitter compliance API on a daily basis to identify the exact date of account suspension. The extracted data contains 37,195 and 11,716 suspended accounts for portion A and portion B respectively. Due to the extreme imbalance between normal and suspended accounts, we utilize an under-sampling methodology and select randomly an equal volume of normal users for each data period. Based on the portion A data, we extract the following feature categories: user profile, activity timing, textual, post embeddings, and graph embeddings.

Files

activity_timing_features_hidden.csv

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Additional details

Related works

Is supplement to
Other: 10.48550/arXiv.2306.03502 (DOI)

Funding

European Commission
Green.Dat.AI - Energy-efficient AI-ready Data Spaces 101070416
European Commission
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European Commission
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