Abstract
When real-time response data from viewers of a televised debate is collected via the internet, the server timestamps of the received responses may not match the correct times of the debate. This paper addresses the question of how the data could be aligned in retrospect, using an algorithm that approximates the playout delay difference between each viewer’s TV signal. The validity is shown by successfully approximating distinctive delays for viewers with satellite or cable TV.
References
Boydstun, A. E., R. A. Glazier, M. T. Pietryka, and P. Resnik. 2014. “Real-time Reactions to a 2012 Presidential Debate: A Method for Understanding Which Messages Matter.” Public Opinion Quarterly 78: 330–43, https://doi.org/10.1093/poq/nfu007.Suche in Google Scholar
bsc/dpa. 2017. 16,11 Millionen Zuschauer verfolgen TV-Duell. Der Spiegel. Also available at https://www.spiegel.de/kultur/tv/tv-duell-mit-merkel-und-schulz-hat-16-11-millionen-zuschauer-a-1165996.html.Suche in Google Scholar
Centieiro, P., R. N. Madeira, T. Romão, A. E. Dias, and N. Correia. 2015. “In Sync with Fair Play! Delivering a Synchronized and Cheat-Preventing Second Screen Gaming Experience.” In Proceedings of the 12th International Conference on Advances in Computer Entertainment Technology, ACE’15. 1–11. New York: Association for Computing Machinery.10.1145/2832932.2832953Suche in Google Scholar
Feiten, L., K. Weber, and B. Becker. 2013. “Smile: Smartphones in der lehre–ein rück-und überblick.” In INFORMATIK 2013–Informatik angepasst an Mensch, Organisation und Umwelt, 255–69. Bonn: Gesellschaft für Informatik eV.Suche in Google Scholar
Horn, R. A. 1990. “The Hadamard Product.” Proc. Symp. Appl. Math. 40: 330–4.10.1090/psapm/040/1059485Suche in Google Scholar
Julien, I., and P. Resnik. 2014. “Aligning Real-Time Opinion Poll Responses with an Expectation-Maximization Algorithm.” Unpublished Manuscript.Suche in Google Scholar
Kooij, W. J., H. Stokking, R. van Brandenburg, and P.-T. de Boer 2014. “Playout Delay of TV Signals: Measurement System Design, Validation and Results.” In TVX, 23–30. New York: Association for Computing Machinery.10.1145/2602299.2602310Suche in Google Scholar
Kuhlmann, U. 2012. Em im tv: Wer zuletzt jubelt. ctmagazin. Also available at http://www.heise.de/-1617234.Suche in Google Scholar
Kuhlmann, U. 2018. Angetestet: Früher jubeln beim TV-Streaming der Fußball-WM. ctmagazin. Also available at http://www.heise.de/-4051784.Suche in Google Scholar
Maier, J., J. F. Hampe, and N. Jahn. 2016. “Breaking Out of the Lab: Measuring Real-Time Responses to Televised Political Content in Real-World Settings.” Public Opinion Quarterly 80: 542–53, https://doi.org/10.1093/poq/nfw010.Suche in Google Scholar
Maier, J., M. Maurer, C. Reinemann, and T. Faas. 2007. “Reliability and Validity of Real-Time Response Measurement: A Comparison of Two Studies of a Televised Debate in Germany.” International Journal of Public Opinion Research 19: 53–73.10.1093/ijpor/edl002Suche in Google Scholar
Montagud, M., P. César, F. Boronat, and J. Jansen, eds. 2018. MediaSync, Handbook on Multimedia Synchronization. Cham: Springer International Publishing AG, part of Springer Nature.Suche in Google Scholar
Rutenbar, R. A. 1989. “Simulated Annealing Algorithms: An Overview.” IEEE Circuits and Devices Magazine 5: 19–26, https://doi.org/10.1109/101.17235.Suche in Google Scholar
Schill, D., R. Kirk, and A. E. Jasperson. 2016. Political Communication in Real Time: Theoretical and Applied Research Approaches. New York: Taylor & Francis.10.4324/9781315669083Suche in Google Scholar
Waldvogel, T., and T. Metz. 2017. “Real-Time-Response-Messungen.” In Neue Trends in den Sozialwissenschaften, 307–31. Wiesbaden: Springer VS.10.1007/978-3-658-17189-6_11Suche in Google Scholar
Waldvogel, T., and T. Metz. 2020. “Measuring Real-Time Response in Real-Life Settings.” International Journal of Public Opinion Research 32: 659–75, https://doi.org/10.1093/ijpor/edz050.Suche in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Editors’ Note
- Articles
- Debate Reaction Ideal Points: Political Ideology Measurement Using Real-Time Reaction Data
- Heuristic Synchronization of Real-Time Response Data
- Assessing the Impact of Political Involvement on the Reliability and Validity of Virtualized Real-time-response Measurement
- Tracing Policy-relevant Information in Social Media: The Case of Twitter before and during the COVID-19 Crisis
- Election and Public Administration Research
- Statistical Considerations on Political Responsivity in Italy Analyzed Over the 70-Year Time Period from 1948 to 2018
- The Results of Exit Polls in Kansas to Verify Voting Machine Counts in the November 2016 Election
- External Peer Challenge in Local Government: The Role of Spatial Spillover and Past Performance
Artikel in diesem Heft
- Frontmatter
- Editors’ Note
- Articles
- Debate Reaction Ideal Points: Political Ideology Measurement Using Real-Time Reaction Data
- Heuristic Synchronization of Real-Time Response Data
- Assessing the Impact of Political Involvement on the Reliability and Validity of Virtualized Real-time-response Measurement
- Tracing Policy-relevant Information in Social Media: The Case of Twitter before and during the COVID-19 Crisis
- Election and Public Administration Research
- Statistical Considerations on Political Responsivity in Italy Analyzed Over the 70-Year Time Period from 1948 to 2018
- The Results of Exit Polls in Kansas to Verify Voting Machine Counts in the November 2016 Election
- External Peer Challenge in Local Government: The Role of Spatial Spillover and Past Performance