How do politicians use Facebook? An applied Social Observatory. Issue 2 (24th November 2015)
- Record Type:
- Journal Article
- Title:
- How do politicians use Facebook? An applied Social Observatory. Issue 2 (24th November 2015)
- Main Title:
- How do politicians use Facebook? An applied Social Observatory
- Authors:
- Caton, Simon
Hall, Margeret
Weinhardt, Christof - Abstract:
- In the age of the digital generation, written public data is ubiquitous and acts as an outlet for today's society. Platforms like Facebook, Twitter, Google+ and LinkedIn have profoundly changed how we communicate and interact. They have enabled the establishment of and participation in digital communities as well as the representation, documentation and exploration of social behaviours, and had a disruptive effect on how we use the Internet. Such digital communications present scholars with a novel way to detect, observe, analyse and understand online communities over time. This article presents the formalization of a Social Observatory: a low latency method for the observation and measurement of social indicators within an online community. Our framework facilitates interdisciplinary research methodologies via tools for data acquisition and analysis in inductive and deductive settings. By focusing our Social Observatory on the public Facebook profiles of 187 federal German politicians we illustrate how we can analyse and measure sentiment, public opinion, and information discourse in advance of the federal elections. To this extent, we analysed 54, 665 posts and 231, 147 comments, creating a composite index of overall public sentiment and the underlying conceptual discussion themes. Our case study demonstrates the observation of communities at various resolutions: "zooming" in on specific subsets or communities as a whole. The results of the case study illustrate theIn the age of the digital generation, written public data is ubiquitous and acts as an outlet for today's society. Platforms like Facebook, Twitter, Google+ and LinkedIn have profoundly changed how we communicate and interact. They have enabled the establishment of and participation in digital communities as well as the representation, documentation and exploration of social behaviours, and had a disruptive effect on how we use the Internet. Such digital communications present scholars with a novel way to detect, observe, analyse and understand online communities over time. This article presents the formalization of a Social Observatory: a low latency method for the observation and measurement of social indicators within an online community. Our framework facilitates interdisciplinary research methodologies via tools for data acquisition and analysis in inductive and deductive settings. By focusing our Social Observatory on the public Facebook profiles of 187 federal German politicians we illustrate how we can analyse and measure sentiment, public opinion, and information discourse in advance of the federal elections. To this extent, we analysed 54, 665 posts and 231, 147 comments, creating a composite index of overall public sentiment and the underlying conceptual discussion themes. Our case study demonstrates the observation of communities at various resolutions: "zooming" in on specific subsets or communities as a whole. The results of the case study illustrate the ability to observe published sentiment and public dialogue as well as the difficulties associated with established methods within the field of sentiment analysis within short informal text. … (more)
- Is Part Of:
- Big data & society. Volume 2:Issue 2(2015)
- Journal:
- Big data & society
- Issue:
- Volume 2:Issue 2(2015)
- Issue Display:
- Volume 2, Issue 2 (2015)
- Year:
- 2015
- Volume:
- 2
- Issue:
- 2
- Issue Sort Value:
- 2015-0002-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-11-24
- Subjects:
- Social Observatory -- Facebook -- sentiment analysis -- political discourse -- text analytics -- computational social science
Big data -- Social aspects -- Periodicals
Social sciences -- Research -- Data processing -- Periodicals
Social sciences -- Research -- Methodology -- Periodicals
Data mining -- Periodicals
300.28557 - Journal URLs:
- http://bds.sagepub.com ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/2053951715612822 ↗
- Languages:
- English
- ISSNs:
- 2053-9517
- 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:
- 6997.xml