News Articles and Twitter Sharing Activity from US Outlets

A 2019 dataset from Politecnico di Milano includes news articles from US major news outlets and associated Twitter sharing activities. It covers tweet content and user details, conceived to study news dissemination behaviors. The dataset was used for political stance classification and is described in the ICWSM'19 paper by Brena et al.

Use Cases

• Classify political stance based on news sharing patterns mentioned in the description.
• Detect user opinions and communities based on news sharing behaviors.
• Analyze news dissemination processes and user involvement on Twitter.

Strengths

• Focuses on US major news outlets, providing a specific geographic and media context.
• Links news articles to Twitter sharing activities, enabling cross-platform analysis.
• Designed for a practical application in political stance classification.

Limitations

• Row count, file formats, and column-level documentation are unknown.
• Last update date is unknown; freshness unverified.
• Contains only Twitter IDs for users and tweets; original data must be retrieved via the Twitter API.

Provenance

Source

Politecnico di Milano, Giovanni Brena.

Collection Method

Data collected from US major news outlets and Twitter, originally stored in a mongoDB environment.

Time Range

Dataset associated with a 2019 publication; specific temporal coverage of data is unknown.

Freshness

Last updated is unknown.

Geography

News articles are from US major news outlets.