We think of modern societies as areligious and oriented more towards money and power. But what makes us sure that this idea is true? How can we know that secularisation, the dominance of politcs, and the primacy of money really are in the DNA of our societies? In an earlier article published in Technological Forecasting […]
Read more "Reblog | We have never been capitalist. Big data insights into social macro trends (1800–2000)"
Roth S., Schwede P., Valentinov V., Zazar K., and Kaivo-oja J. (2019), Big data insights into social macro trends (1800-2000): A replication study, Technological Forecasting and Social Change, 149, 119759 [SSCI 5.846, Scopus, CNRS***, FNEGE***, CABS***, VHB***]. Highlights: Dominant theories of society are grounded on strong assumptions about the capitalist nature of the modern society Results from […]
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Roth S., Schwede P., Valentinov V., Pérez-Valls M., and Kaivo-oja J. (2020) Harnessing big data for a multifunctional theory of the firm, European Management Journal, Vol. 38 No. 1, pp. 54-61 [SSCI 2.985, Scopus, CNRS**, FNEGE**, CABS**, VHB***]. This article has been assessed as Top 10 article co-/authored by Lithuanian-based researchers in the field of social sciences […]
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Рот С., Трофимов Н.А., Мкртичян А. (2018), Где же капитализм? Анализ русской языковой среды в XIX и XX веках с помощью больших данных, Южно-Российский Журнал Социальных Наук, Том 19 № 2, C. 6-26. Аннотация: Изучение социальных трансформаций и исследования будущего зависят от релевантности нашего знания о современности и прошлом. Целью нашего исследования является изучение эволюции […]
Read more "Релеасе | Где же капитализм? Анализ русской языковой среды"
Highlights: Foresights and futures studies depend on the adequacy of our knowledge of the present and the past. Big data evidence suggests that the English language area was not capitalist between 1800 and 2000. Popular social macro trend statements ought to be regularly scrutinised so as to reduce the risk that inadequate trend assumptions are […]
Read more "Release | Was that capitalism? A future-oriented big data analysis of the 19th and 20th century"
Roth S., Clark C., Trofimov N., Mkrtchyan A., Heidingsfelder M., Appignanesi L., Pérez-Valls M., Berkel J., and Kaivo-oja J. (2017) Futures of a distributed memory. A global brain wave measurement (1800-2000), Technological Forecasting and Social Change, Vol. 118 No. May, pp. 307-323 [SSCI 3.005, Scopus, CNRS***, ABS***, VHB***]. Abstract: If the global brain is a suitable model of […]
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Abstract: Using the updated Google Book corpus dataset generated in July 2012, we analyze the largest available corpus of digitalized books to review social macro trends such as the secularization, politicization, economization, and mediatization of society. These familiar trend statements are tested through a comparative analysis of word frequency time-series plots for the English, French, […]
Read more "Release | An Updated Google Ngram View of Trends in Functional Differentiation (1800-2000)"
I have been invited to speak at this year’s City University of Hong Kong workshop on Computational Approaches to Big Data in the Social Sciences and Humanities, June 6, 2016. Do check the website and consider to participate! A short report on the workshop is available here.
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Abstract: This article tests whether the field of foresight and futures studies shows significant variable selection biases in the modelling of the future in general and the impact of function systems in particular. We performed a word frequency analysis to measure the relative importance of the political system, the economy, science, art, religion, law, sport, […]
Read more "Release | Is the future a political economy?"