Swedish online news articles 2014-2015

Creator/Principal investigator(s):

Peter Dahlgren

Description:

The study contains news articles which have been shared on Facebook and Twitter over time.

Purpose:

To study what news articles are shared on Facebook and Twitter over time.

Subject area:

MEDIA, COMMUNICATION AND LANGUAGE (CESSDA Topic Classification)
Social Sciences (The Swedish standard of fields of research 2011)

Principal organisation:

University of Gothenburg

Accessibility status:

Access to data through SND
Data are accessible by order

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Responsible department/unit:

University of Gothenburg

Creator/Principal investigator(s):

Peter Dahlgren

Identifiers:

SND-ID: SND 1004

Description:

The study contains news articles which have been shared on Facebook and Twitter over time.

Purpose:

To study what news articles are shared on Facebook and Twitter over time.

Time period(s) investigated:

2014-02-08 — ongoing

Geographic spread:

Geographic location: Sweden

Unit of analysis:

Time Method:

Sampling procedure:

Total universe/Complete enumeration

Subject area:

MEDIA, COMMUNICATION AND LANGUAGE (CESSDA Topic Classification)
Social Sciences (The Swedish standard of fields of research 2011)

Download metadata:

Version 1.0:

2017-01-12 doi:10.5878/002853

News content dataset

Suggested citation:

Peter Dahlgren. University of Gothenburg (2017). News content dataset. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/002853

Creator/Principal investigator(s):

Peter Dahlgren

Description:

This dataset contains 953,069 news articles (title, URL, social shares) from the 12 largest Swedish news sites during 20 months, from February 2014 to October 2015.

Data format / data structure:

Text

Data collection:

Time period(s) for data collection: 2014-02-08 — 2015-10-01

Source of the data: Communications: Public

Time period(s) investigated:

2014-02-08 — 2015-10-01

Variables:

20

Number of individuals/objects:

953069

Published: 2017-01-11