Open access

Open Data

Download and use open data that I have collected. I only require you to cite it if you decide to publish an analysis from it.

1. One million news articles with Facebook and Twitter shares

Download data: http://dx.doi.org/10.5878/002853

This dataset contains 953,069 news articles (title and URL with shares on Facebook and Twitter) from the 12 largest Swedish news sites during 20 months, from February 2014 to October 2015. Format: CSV, TSV, SQL.

APA

Dahlgren, P. M. (2017). Swedish online news articles 2014-2015. Swedish National Data Service. http://dx.doi.org/10.5878/002853

@misc{swedish_news_2017,
	title = {Swedish online news articles 2014-2015},
	url = {http://dx.doi.org/10.5878/002853},
	abstract = {The study contains news articles which have been shared on Facebook and Twitter over time.},
	publisher = {Swedish National Data Service},
	author = {Dahlgren, Peter M.},
	year = {2017},
	keywords = {Facebook, Twitter, news},
	note = {https://snd.gu.se/en/catalogue/study/SND1004}
}

2. Twitter Trends in Sweden

Download data: https://github.com/peterdalle/swedishtwitter

This dataset contains Twitter trends from Swedish Twitter (Sweden, Stockholm, Gothenburg). Trends were collected from 2014-12-18 and onwards via the GET trends/place API. Data contains datetime, name of trend, tweet volume, and whether or not the trend is promoted content. Format: CSV.

APA

Dahlgren, P. M. (2017). Swedish Twitter Trends. Swedish National Data Service. https://snd.gu.se/en/catalogue/study/ext0271

@misc{twitter_trends_2017,
    title = {Swedish Twitter Trends},
    url = {https://snd.gu.se/en/catalogue/study/ext0271},
    abstract = {Twitter trends from Swedish Twitter (Sweden, Stockholm, Göteborg). Trends collected every hour from 2016-03-29 to 2016-12-27 via the GET trends/place API. Data contains datetime, name of the trend, tweet volume, and whether or not the trend is promoted content.},
    publisher = {Swedish National Data Service},
    author = {Dahlgren, Peter M.},
    year = {2017},
    keywords = {Twitter, Trends}
}