Google Trends of political parties in Europe: a fractal exploration
By:
References
- Abraham-Frois, G. (1998). Non-linear dynamics and endogenous cycles (Vol. 463). Springer Science & Business Media.
- Beyer, J. (2012). Acting in Good time–Conceptual reflections on the Sequencing of Political reform Processes.
Central European Journal of Public Policy , 6(02), 4–28. - Box, G. E., & Jenkins, G. M. (1970).
Time series models for forecasting and control . San Francisco. - Curran, T., & Singh, R. (2011). E-democracy as the future face of democracy: a case study of the 2011 Irish elections.
European View , 10(1), 25–31. - Dijkstra, L., Poelman, H., & Rodríguez-Pose, A. (2020). The geography of EU discontent.
Regional Studies , 54(6), 737–753. - Dylko, I. B. (2013). On the role of technology in political communication research.
Javnost-The Public , 20(1), 55–69. - Doornik, J. A., & Ooms, M. (2003). Computational aspects of maximum likelihood estimation of autoregressive fractionally integrated moving average models.
Computational Statistics & Data Analysis ,42 (3), 333–348. - Eviews 9. (2022). Eviews 9 [Software]. Irvin, CA: Quantitative Micro Software, LLC.
- Flores-Muñoz, F., Báez-García, A. J., & Gutiérrez-Barroso, J. (2019). Fractional differencing in stock market price and online presence of global tourist corporations.
Journal of Economics, Finance and Administrative Science , 24(48), 194–204. - Geweke, J., & Porter-Hudak, S. (1983). The estimation and application of long memory time series models.
Journal of Time Series Analysis , 4(4), 221–238. - Gibson, R. K., & McAllister, I. (2011). Do online election campaigns win votes? The 2007 Australian “YouTube” election.
Political Communication , 28(2), 227–244. - Gong, R. (2011). Internet politics and state media control: Candidate weblogs in Malaysia.
Sociological Perspectives , 54(3), 307–328. - Google. (2022). Google Trends https://trends.google.com/
- Graves, T., Gramacy, R., Watkins, N., & Franzke, C. (2017). A brief history of long memory: Hurst, Mandelbrot and the road to ARFIMA, 1951–1980.
Entropy ,19 (9), 437. - Granger, C. W., & Joyeux, R. (1980) An introduction to long-memory time series models and fractional differencing.
Journal of Time Series Analysis ,1 (1), 15–29. - Huberty, M. (2015). Can we vote with our tweet? On the perennial difficulty of election forecasting with social media.
International Journal of Forecasting , 31(3), 992–1007. - Hutter, S., & Kriesi, H. (Eds.). (2019). European party politics in times of crisis. Cambridge University Press.
- Hurst, H. E. (1951) Long-term storage capacity of reservoirs.
Trans. Amer. Soc. Civil Eng. ,116 , 770–808. - Jun, S. P., Yoo, H. S., & Choi, S. (2018). Ten years of research change using Google Trends: From the perspective of big data utilizations and applications.
Technological forecasting and social change , 130, 69–87. - Knobloch-Westerwick, S., Johnson, B. K., & Westerwick, A. (2014). Confirmation bias in online searches: Impacts of selective exposure before an election on political attitude strength and shifts.
Journal of Computer-Mediated Communication , 20(2), 171–187. - Lorenz, E.N. (1963). Deterministic non-periodic flow.
Journal of Atmospheric Sciences ,20 , 130–41. - Mandelbrot, B. B. (1983)
The fractal geometry of nature: Revised and enlarged edition . New York: WH Freeman and Co. - Magalhães, P. C. (2014). Introduction–financial crisis, austerity, and electoral politics.
Journal of Elections, Public Opinion & Parties , 24(2), 125–133. - Mellon, J. (2013). Where and when can we use Google Trends to measure issue salience?.
PS: Political Science & Politics , 46(2), 280–290. - Milan, S. (2015). Mobilizing in times of social media. From a politics of identity to a politics of visibility. In
Critical Perspectives on Social Media and Protest (pp. 53–71), Rowman & Littlefield. - Mora Rodríguez, M., Flores Muñoz, F., & Valentinetti, D. (2021). Corporate impact of carbon disclosures: a nonlinear empirical approach.
Journal of Financial Reporting and Accounting , 19(1), 4–27, in which the concept of structural breakpoint in time series analysis is highlighted. - Olds, C. (2013). Assessing presidential agenda-setting capacity: dynamic comparisons of presidential, mass media, and public attention to economic issues.
Congress & the Presidency , 40(3), 255–284. - Reilly, S., Richey, S., & Taylor, J. B. (2012). Using google search data for state politics research: an empirical validity test using roll-off data.
State Politics & Policy Quarterly , 12(2), 146–159 - Park, H. W. (2012). How do social scientists use link data from search engines to understand Internet-based political and electoral communication?.
Quality & Quantity , 46(2), 679–693. - Serricchio, F., Tsakatika, M., & Quaglia, L. (2013). Euroscepticism and the global financial crisis.
JCMS: Journal of Common Market Studies , 51(1), 51–64. - Sowell, F. (1992). Maximum likelihood estimation of stationary univariate fractionally integrated time series models.
Journal of Econometrics ,53 (1–3), 165–188. - Urman, A., Makhortykh, M., & Ulloa, R. (2022). The matter of chance: auditing web search results related to the 2020 US presidential primary elections across six search engines.
Social Science Computer Review , 40(5), 1323–1339. - Utych, S. M., & Kam, C. D. (2013). Viability, information seeking, and vote choice.
The Journal of Politics , 76(1), 152–166. - Wagner, K. M., & Gainous, J. (2009). Electronic grassroots: Does online campaigning work?.
The Journal of Legislative Studies , 15(4), 502–520. - Yasseri, T., & Bright, J. (2014). Can electoral popularity be predicted using socially generated big data?
it-Information Technology , 56(5), 246–253.
DOI: https://doi.org/10.2478/cejpp-2024-0002 | Journal eISSN: 1802-4866
Language: English
Page range: 24 - 36
Submitted on: Feb 15, 2023
Accepted on: Jan 8, 2024
Published on: Apr 14, 2024
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Related subjects:
© 2024 Josue Gutierrez-Barroso, Alberto Javier Báez-García, Francisco Flores-Muñoz, Luis Javier Ruiz Medina, Juan Vianney Trujillo González, Ana Goretty Padrón-Armas, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.