Release | Big data insights into social macro trends: Expanding the horizon (1800-2018)

Abstract: This article examines how big data can inform and challenge established theories and future visions of society. Utilising the most recent version of the arguably largest free online corpus, the Google Books corpus (version 20200217), we replicate and enhance Roth et al.’s (2019a) systems-theoretical methodology for analysing macro social trends. Thus extending the sample […]

Reblog | We have never been capitalist. Big data insights into social macro trends (1800–2000)

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 […]

Release | Big data insights into social macro trends (1800-2000): A replication study

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 […]

Release | Harnessing big data for a multifunctional theory of the firm

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 […]

Релеасе | Где же капитализм? Анализ русской языковой среды

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 […]

Release | Was that capitalism? A future-oriented big data analysis of the 19th and 20th century

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 […]

Release | Futures of a distributed memory. A global brain wave measurement

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 […]

Release | An Updated Google Ngram View of Trends in Functional Differentiation (1800-2000)

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, […]

Speaker @CityU Hong Kong CSS Workshop

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.