A Dataset of Open Source Intelligence (OSINT) Tweets about the Russo-Ukrainian War

Open Source Intelligence (OSINT) refers to intelligence efforts based on freely available data. It has become a frequent topic of conversation on social media, where private users or networks can share their findings. Such data is highly valuable in conflicts, both for gaining a new understanding of the situation as well as for tracking the spread of misinformation. In this paper, we present a method for collecting such data as well as a novel OSINT dataset for the Russo-Ukrainian war drawn from Twitter between January 2022 and July 2023. It is based on an initial search of users posting OSINT and a subsequent snowballing approach to detect more. The final dataset contains almost 2 million Tweets posted by 1040 users. We also provide some first analyses and experiments on the data, and make suggestions for its future usage.

Authors

Institutions

Publication Details

Journal
Proceedings of the ... International ISCRAM Conference
Published
2024-11-27
DOI
https://doi.org/10.59297/377r3945
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Dataset of Open Source Intelligence (OSINT) Tweets about the Russo-Ukrainian War

Anna Kruspe, Philipp Seeberger, Johannes Niu, Mila Stillman
Proceedings of the ... International ISCRAM Conference
Misinformation and Its Impacts
article

A Dataset of Open Source Intelligence (OSINT) Tweets about the Russo-Ukrainian War

Anna Kruspe, Philipp Seeberger, Johannes Niu, Mila Stillman
article en

Abstract

Open Source Intelligence (OSINT) refers to intelligence efforts based on freely available data. It has become a frequent topic of conversation on social media, where private users or networks can share their findings. Such data is highly valuable in conflicts, both for gaining a new understanding of the situation as well as for tracking the spread of misinformation. In this paper, we present a method for collecting such data as well as a novel OSINT dataset for the Russo-Ukrainian war drawn from Twitter between January 2022 and July 2023. It is based on an initial search of users posting OSINT and a subsequent snowballing approach to detect more. The final dataset contains almost 2 million Tweets posted by 1040 users. We also provide some first analyses and experiments on the data, and make suggestions for its future usage.

Proceedings of the ... International ISCRAM Conference
Munich University of Applied Sciences (DE), Georg Simon Ohm University of Applied Sciences Nuremberg (DE)
Openalex Percentile: Top 57%
Misinformation and Its Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Dataset of Open Source Intelligence (OSINT) Tweets about the Russo-Ukrainian War — Anna Kruspe, Philipp Seeberger, et al. · Proceedings of the ... International ISCRAM Conference (2024) | TGRS Research Map | TGRS