Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
27
datasets available to search
ShareScore release 0.9.0
Dataset results
27 results for “news articles”
European Multilingual News Articles Dataset with Topic Annotation
<p>The <em>European Multilingual News Articles Dataset</em> is composed of over 18 million European news articles coming from 205 media outlets belonging to 27 European countries (i.e., all EU countries belonging to the European Union) with the addition of the United Kingdom. Articles range in a time period from 2017 to 2021 and are written in their original languages, for a total of 23 different languages included.</p> <p>After selecting reliable, nationwide European media outlets, each article (i.e., title, textual content, URL, and date and time of publication) was extracted from the <a href="https://commoncrawl.org/2016/10/news-dataset-available/">Common Crawl News Corpus</a>, which contains petabytes of raw web page data collected since 2016. The dataset is released without any text pre-processing other than a cleanup of XML tags. Further, we enriched it by adding several media metadata (e.g., frequency of publication, distribution area, language, type of media). </p> <p>Moreover, we enhanced the dataset by adding - whenever possible - article-level topic annotation by using articles' URLs as a proxy of the topic discussed. In the end, we were able to assign a topic to over 4 million articles (33 unique topics, e.g., politics, sport, entertainment), thus 23.2% of the entire dataset. Further, from URLs, we also extract the types of over 4 million articles (15 unique article types, e.g., news, international, multimedia).</p>
unCover: English and German news articles for LLM identification
Open the record for dataset details and reuse information.
Results and further resources concerning our pre-studies concerning revealing biases in news articles
<p>Slanted news coverage strongly affects public opinion. This is especially true for coverage on politics and related issues, where studies have shown that bias in the news may strongly influence elections and other collective decisions. Due to its viable importance, news coverage has long been studied in the social sciences, resulting in comprehensive models to describe it and effective yet costly methods to analyze it, such as content analysis. We present an in-progress system for news recommendation that is the first to automate the manual procedure of content analysis to reveal person-targeting biases in news articles reporting on policy issues. In a large-scale user study, we find very promising results regarding this interdisciplinary research direction. Our recommender detects and reveals substantial frames that are actually present in individual news articles. In contrast, prior work rather only facilitates the visibility of biases, e.g., by distinguishing left- and right-wing outlets. Further, our study shows that recommending news articles that differently frame an event significantly improves respondents' awareness of bias.</p>
MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification
<p><strong>Overview</strong></p> <p>This dataset contains 10,917 news articles with hierarchical news categories collected between January 1st 2019, and December 31st 2019 classified by using NewsCodes Media Topic taxonomy. We manually labelled the articles based on a hierarchical taxonomy with 17 first-level and 109 second-level categories.</p> <p>This dataset can be used to train machine learning models for automatically classifying news articles by topic. This dataset can be helpful for researchers working on news structuring, classification, and predicting future events based on released news.</p> <p><strong>Reproducibility of results</strong></p> <p>The results presented in the research paper "MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification", technical validation can be reproduced using functions in <a href="https://github.com/alinapetukhova/mn-ds-news-classification">github repository</a>.</p> <p><strong>Licenses</strong></p> <p>The dataset is made available under a <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a> license (see `LICENSE_DATA.txt`).</p>
News Articles
<p>news articles in text files format.</p>
Human-labeled corpus of news articles, containing issue and game frames
<p>A human-labeled corpus of online news articles from New York Times and Los Angeles Times, containing issue and game frames, annotated with a great range of linguistic features at the following levels: syntactic (both form and function levels), semantic, semantic-syntactic, and pragmatic. Our specialized corpus has been created carefully to represent the written online media language regarding political news on the following topics: USA elections 2020, Donald Trump's impeachment, the Armenian genocide, Greta Thunberg, and Taiwan's elections. In total, 100 news articles were extracted, including image descriptions and titles that seemed relevant for our analysis. </p>
The POLUSA Dataset: 0.9M Political News Articles Balanced by Time and Outlet Popularity
<p>The POLUSA dataset, as presented at the ACM/IEEE Joint Conference on Digital Libraries in August 2020 (JCDL '20)</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.