Twitter Trends

Creator/Principal investigator(s):

Peter Dahlgren - University of Gothenburg, JMG

Description:

Collection of all trends on Twitter from three geographical positions (Sweden, Gothenburg, and Stockholm). Collected automatically every hour, at all hours.

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 an external actor
Data are freely accessible

Homepage:

https://github.com/peterdalle/swedishtwitter

Responsible department/unit:

University of Gothenburg, Department of Journalism Media and Communication

Creator/Principal investigator(s):

Peter Dahlgren - University of Gothenburg, JMG

Identifiers:

SND-ID: EXT 0271

Description:

Collection of all trends on Twitter from three geographical positions (Sweden, Gothenburg, and Stockholm). Collected automatically every hour, at all hours.

Time period(s) investigated:

2014-12-18 — 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:

Twitter Trends

Creator/Principal investigator(s):

Peter Dahlgren - University of Gothenburg, JMG

Description:

Collection of all trends on Twitter from three geographical areas (Sweden, Gothenburg, and Stockholm). These trends are aggregated by Twitter automatically and presented for all users in the specific geographical area.

The trends are collected automatically every hour, at all hours. Custom software has been written for the task.

Data format / data structure:

Text

Data collection:

Mode of collection: Aggregation

Time period(s) for data collection: 2014-12-18

Source of the data: Communications: Public

Time period(s) investigated:

2014-12-18 — ongoing

Variables:

4

Published: 2017-03-24