Facebook is no "Great equalizer": A big data approach to gender differences in civic engagement across countries. Issue Volume 35:Number 1(2017:Feb.)Special Issue (February 2017)
- Record Type:
- Journal Article
- Title:
- Facebook is no "Great equalizer": A big data approach to gender differences in civic engagement across countries. Issue Volume 35:Number 1(2017:Feb.)Special Issue (February 2017)
- Main Title:
- Facebook is no "Great equalizer"
- Authors:
- Brandtzaeg, Petter Bae
- Other Names:
- Gil de Zúñiga Homero guest-editor.
- Abstract:
- Facebook is expected to facilitate more equal participation in civic engagement across genders and countries. With the use of a big data tool (Wisdom), we explored gender disparities in various Facebook liking practices concerning expressions of civic engagement among 21, 706, 806 Facebook users in 10 countries across Asia, Africa, the Americas, and Europe. We observed distinct patterns with regard to civic and political expressions on Facebook, with males drawn more toward politically and information-oriented liking practices when compared to females. Moreover, females (aged 13–28 years) in Europe and the Americas are more likely than males to support humanitarian aid and environmental issues on Facebook. This latter finding was not evident in Asia and Africa, where males are more active in liking all forms of civic expressions on Facebook. In conclusion, this study shows that the gender differences in civic engagement that exist offline to a large degree are replicated and reinforced on Facebook.
- Is Part Of:
- Social science computer review. Volume 35:Number 1(2017:Feb.)Special Issue
- Journal:
- Social science computer review
- Issue:
- Volume 35:Number 1(2017:Feb.)Special Issue
- Issue Display:
- Volume 35, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 35
- Issue:
- 1
- Issue Sort Value:
- 2017-0035-0001-0000
- Page Start:
- 103
- Page End:
- 125
- Publication Date:
- 2017-02
- Subjects:
- Facebook -- likes -- civic engagement -- cross-country perspective -- gender expression -- big data
Social sciences -- Data processing -- Periodicals
Computers -- Social aspects -- Periodicals
Microcomputers -- Periodicals
Sciences sociales -- Informatique -- Périodiques
Micro-ordinateurs -- Périodiques
300.285 - Journal URLs:
- http://journals.sagepub.com/home/ssc ↗
http://ssc.sagepub.com/ ↗
http://www.sagepublications.com/ ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0894-4393;screen=info;ECOIP ↗ - DOI:
- 10.1177/0894439315605806 ↗
- Languages:
- English
- ISSNs:
- 0894-4393
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7696.xml