Social Media Monitoring for the German federal election 2017
Stier, Sebastian;
Bleier, Arnim;
Bonart, MalteMörsheim, Fabian; Bohlouli, Mahdi; Nizhegorodov, Margarita; Posch, Lisa; Maier, Jürgen; Rothmund, Tobias; Staab, Steffen GESIS Data Archive, Cologne. ZA6926 Data file Version 1.0.0, https://doi.org/10.4232/1.12992
Abstract: Social Media Monitoring of the German Federal Election Campaign 2017
This dataset contains results from the social media monitoring of Facebook and Twitter for the German federal election campaign 2017. The project collected the tweets and Facebook posts of political candidates and organizations and the engagement of users with these contents – retweets and @-mentions on Twitter, comments, shares and likes on Facebook. Finally, all messages on Twitter containing at least one keyword denoting central political topics were collected. All data was publicly available at the time of data collectio ... more Methodology
Date(s) of Data Collection: 05.07.2017 - 30.09.2017
Geographic coverage: Germany (DE)
Universe: All publicly available political communication related to the Bundestagswahl 2017 on Facebook and Twitter defined by three target concepts: (1) politicians, here Facebook pages and Twitter accounts of candidates in the election campaign, (2) Facebook pages and Twitter accounts of political parties and gatekeepers such as media organizations, and (3 ... more Number of Units: 3392
Sampling Procedure: • Total universe/Complete enumeration;
Total universe/Complete Enumeration Temporal Research Design: Cross-section Analysis Unit: Media unit: Text Mode of Data Collection: • Field observation;
Field observation
The data was collected using Twitter’s Streaming API and via the Facebook Graph API. Data Collector: GESIS - Leibniz-Institut für Sozialwissenschaften
Universität Koblenz Landau
Analysis System(s): SPSS, Stata, CSV
Kind of Data: Text | Numeric Number of Variables: 28
Bibliographic information
Principal Investigator/ Authoring Entity, Institution: Stier, Sebastian - GESIS – Leibniz-Institut für Sozialwissenschaften | Bleier, Arnim - GESIS – Leibniz-Institut für Sozialwissenschaften | Bonart, Malte - GESIS – Leibniz-Institut für Sozialwissenschaften | Mörsheim, Fabian - Universität Koblenz-Landau | Bohlouli, Mahdi - Universität Koblenz-Landau | Nizhegorodov, Margarita - GESIS – Leibniz-Instit ... more Publication year: 2018
DOI: 10.4232/1.12992
Study number: ZA6926
Contributor, Institution, Role: Stier, Sebastian - GESIS - Other | Bleier, Arnim - GESIS - Researcher | Bonart, Malte - GESIS - Researcher | Mörsheim, Fabian - University of Koblenz-Landau - Researcher | Bohlouli, Mahdi - University of Koblenz-Landau - Researcher | Nizhegorodov, Margarita - GESIS - Researcher | Posch, Lisa - GESIS - Researcher | Maier, Jürgen - University of Kobl ... more Publisher: GESIS Data Archive
Versions
Current Version: 1.0.0, 2018-02-28, https://doi.org/10.4232/1.12992
Version history: ... more Reference publications
Publications: Stier, Sebastian; Bleier, Arnim; Bonart, Malte; Mörsheim, Fabian; Bohlouli, Mahdi; Nizhegorodov, Margarita; Posch, Lisa; Maier, Jürgen; Rothmund, Tobias; Staab, Steffen (2018):
Systematically monitoring social media: The case of the German federal election 2017.
GESIS Papers 2018|4
Study group: Deutsche Bundestagswahlstudien |
show all hits of the groupThe data base consists of one-off surveys, panel surveys, and cumulated surveys. It comprises representative polls for all German federal elections since 1949.
Further studies are listed under GLES (German Longitudinal Election Study).Social Media Daten |
show all hits of the groupEvaluation of data from large social platforms (e.g. Twitter).GESIS Community Data |
show all hits of the groupGESIS Community Data contains German and international research data that have been specially prepared for secondary analysis and academic teaching. These are studies that have been donated to GESIS by the scientific community and are processed by us in the spirit of open science. The collection constantly expands and contains data from six decades ... more 
