Social media data have become a reliable source for research in particular when traditional sources are unavailable. This happens in particular within crises like the 2008 Financial Crisis and the 2020 Covid-19 Pandemic. Below list some of the original contributions to this literature. The studies were first “predicting” Obama using Google Trends. A seminal paper in 2009 was first using Google Trends to predict unemployment during the Financial Crisis. Other issues covered were detecting mortgage delinquencies, and health and well-being issues. The perspectives for research in social sciences were studied as well as the state of the art for unemployment predictions investigated.
Simionescu, Mihaela & Klaus F. Zimmermann, Big Data and Unemployment Analysis, GLO Discussion Paper, No. 81, 2017; published in Chinese in Journal of Renmin University of China, Volume 31 (2017), No.6, 2 – 11. Post.
Nikolaos Askitas and Klaus F. Zimmermann, Health and Well-being in the Great Recession, International Journal of Manpower 36 (2015), (1), 26-47.
Nikolaos Askitas and Klaus F. Zimmermann, The Internet as a Data Source for Advancement in Social Sciences, International Journal of Manpower 36 (2015), (1), 2-12. Pre-Publication Version.
Askitas, Nikos and Klaus F. Zimmermann, Detecting Mortgage Delinquencies, IZA Discussion Paper No. 5895 (2011). Available at SSRN: https://ssrn.com/abstract=1906198
Nikolaos Askitas and Klaus F. Zimmermann, Google Econometrics and Unemployment Forecasting, Applied Economics Quarterly, 55 (2009), pp. 107-120.
Amelie Constant and Klaus F. Zimmermann, Face to Face with the Financial Crisis: The U.S. Presidential Election from a Transnational Perspective, DIW Berlin Weekly Report, No. 16/2008, Vol. 4, January 19, 2009.
Amelie Constant and Klaus F. Zimmermann, Im Angesicht der Krise: US Präsidentschaftswahlen in transnationaler Sicht, DIW Wochenbericht, No. 44 (2008), 688-701.