GESIS - DBK - ZA5973
 

ZA5973: German Bundestag Elections 2013: Twitter Usage by Electoral Candidates

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ZA5973 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5973_IDs_v1-0-0.txt (Dataset) 13 MBytes
  • ZA5973_v1-0-0.csv (Dataset) 511 KBytes
  • ZA5973_v1-0-0.dta (Dataset Stata) 1019 KBytes
  • ZA5973_v1-0-0.sav (Dataset SPSS) 730 KBytes

Other Documents

  • ZA5973_Errata.pdf (Other Document) 73 KBytes
  • ZA5973_r.pdf (Report) 833 KBytes
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Bibliographic Citation

Citation Citation Kaczmirek, Lars; Mayr, Philipp (2015): German Bundestag Elections 2013: Twitter Usage by Electoral Candidates. GESIS Data Archive, Cologne. ZA5973 Data file Version 1.0.0, https://doi.org/10.4232/1.12319
Study No.ZA5973
TitleGerman Bundestag Elections 2013: Twitter Usage by Electoral Candidates
Current Version1.0.0, 2015-8-7, https://doi.org/10.4232/1.12319
Date of Collection06.2013 - 12.2013
Principal Investigator/ Authoring Entity, Institution
  • Kaczmirek, Lars - GESIS – Leibniz-Institut für Sozialwissenschaften
  • Mayr, Philipp - GESIS – Leibniz-Institut für Sozialwissenschaften

Content

AbstractThe data is a result of a research project at GESIS which aimed to explore social media communication related to the election of the German parliament on September 22nd, 2013. The data includes tweets by candidates and a file describing the key attributes of the candidates and lists their Twitter and Facebook accounts. Tweets were collected for candidates of all covered parties except the AfD. All data was publicly available at the time of data collection. Cases in which a Twitter or Facebook account was not used as part of the role as a candidate (i.e., private accounts and accounts merely used for private postings) were not included. Due to legal reasons only the following data can be shared: (1) A list of all candidates that were considered in the project, their key attributes and if available the identification of their Twitter and Facebook accounts. (2) A list of Tweet-IDs which can be used to retrieve the original tweets of the candidates which they posted between June and December 2013. It includes the Tweet-ID and an ID identifying the candidate. The data describing the candidates include variables with the following content: a subsequent number, name of candidate, first name, member of which party ("AfD", "CDU", "CSU", "Die LINKE", "FDP", "GRUENE", "PIRATEN", "SPD"), state (e.g. "Bayern"), is listed (yes, no), is directe candidate (yes, no), constituency (e.g., "Aachen I"), has facebook account (yes, no), facebook_link, has twitter account (yes, no), twitter_screenname and variables on the frequency of twitter use.
Categories Categories
  • Political Parties, Organizations
Topics Topics
  • 11.7 Elections
  • 9.2 Mass media

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all candidates (district and party list candidates) for the 2013 German Federal Election on September 22, 2013, who maintain a social media account (Twitter and/or Facebook). The population was further restricted to candidates of political parties which were represented in the German Parliament before the election and to candidates of the Pirate Party and the Alternative for Germany (Facebook only).
Analysis Unit Analysis Unit
  • Text Unit
Sampling Procedure Sampling Procedure
  • Total universe/Complete enumeration
No sample (complete count) The sample frame includes 2741 candidates, whom a Twitter or Facebook account could be assigned.
Mode of Collection Mode of Collection
  • Field observation
Non-participant field observation Data was collected using the Twitter API. Technical details can be found in the methodological report.
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Text
  • Numeric
Data CollectorGESIS – Leibniz-Institut für Sozialwissenschaften
Date of Collection
  • 06.2013 - 12.2013

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2015-8-7 first archive edition https://doi.org/10.4232/1.12319
Errata in current version
none
Version changes

Further Remarks

Number of Units: 2741 (1060 Twitter accounts / 1740 Facebook accounts)
Number of Variables: 22
Analysis System(s): SPSS, Stata, CSV

Publications

Publications
  • Kaczmirek, L.; Mayr, P.; Vatrapu, R.; Bleier, A.; Blumenberg, M.; Gummer, T.; Hussain, A.; Kinder-Kurlanda, K.; Manshaei, K.; Thamm, M.; Weller, K.; Wenz, A.; Wolf, C. (2014): Social Media Monitoring of the Campaigns for the 2013 German Bundestag Elections on Facebook and Twitter. Retrieved from http://www.gesis.org/fileadmin/upload/forschung/publikationen/gesis_reihen/gesis_arbeitsberichte/WorkingPapers_2014-31.pdf
  • Lietz, Haiko; Wagner, Claudia; Bleier, Arnim, and Strohmaier, Markus (2014): ´When politicians talk: assessing online conversational practices of political parties on Twitter´. In Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media, 285-294. Ann Arbor, MI: AAAI Press. http://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8069/.
Relevant full texts
from SSOAR (automatically assigned)

Groups

Groups
  • German Federal Election Studies
    The 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 Data