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Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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CyberSecNews DE/EN Data Set

Authors: Linauer, Lukas; Hamzić, Dženan; Skopik, Florian; Landauer, Max; Wurzenberger, Markus;

CyberSecNews DE/EN Data Set

Abstract

This dataset contains 457 news articles in German and English, collected via RSS feeds from various news websites and blogs, that were publicly accessible at the time of collection. The articles cover a range of subjects, from general topics such as finance, sports, politics, etc. to content from cybersecurity-specific websites and blogs. In a small survey, the content of each article was then presented to colleagues from the Center for Digital Safety and Security at the Austrian Institute of Technology (AIT) via a browser-based application. Each participant was instructed to classify the presented article into one of two categories: "Cybersecurity" or "Not Cybersecurity", with the option of marking articles as "Unsure". The detailed instructions can be found: here Detailed information Data set stored in .csv and .json formats All news articles were published between 2014-07-10 and 2025-04-28. For copyright information, see the column "copyright_statement". Number of rows: 457 Column Information: title: The title of the published news article as utf-8 encoded string content: The article itself as utf-8 encoded string language: The language of the article, "de" or "en" source_name: The news website's name source_url: The URL of the RSS feed used to fetch the articles published: The timestamp of when the article was published, according to the RSS feed (UTC+0) copyright_statement: The copyright statement, either obtained from the RSS feed or fetched from the news website. Where no copyright statement was provided, a generic placeholder was instead used. classifications: The results of the manual classification of each participant (anonymized) per news article. The results are in the format {"UserX": "yes/no/unsure", ...} cybersecurity: The final label for each news article. Can be "yes", "no" or "unsure". Obtained from the "classifications" column via the following condition: If only "yes" in classifications -> "yes" If only "no" in classifications -> "no" If "unsure" in classifications -> "unsure" If "yes" and "no" in classifications -> "unsure" Missing Values: None Acknowledgments: Funded by the European Union under GA no. 101121403 (NEWSROOM), GA no. 101121418 (EUCINF), and GA no. 101168092 (ECYSAP EYE). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them. Co-funded by the Austrian FFG Kiras project ASOC (905301).

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  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average