Dear all. As recent developments on Twitter / X do not seem to be in line with the values of the academic community, this is the last tweet we will publish. We are leaving this account open for consultation. Join us, from now on, on BlueSky!

Thank you very much @marketcafemag for including our interview in your latest issue (p.44 😉) ! This reflects not only our efforts but also those of our authors in equipping @Journal_DigHist with @ProjectJupyter in the digital humanities. 🙏📖 #DigitalHumanities #DigitalHistory

With an interview of Daniele Guido and Mirjam Pfeiffer, our designers!

These analyses raise questions about the relation between states, scholarly networks and the IOM. This enigmatic organization and its predecessors have long dominated migration management. This article especially fills a gap in IOM-migration historiography for the 1960s and 1970s

At the core of this coalition is the International Organization for Migration (IOM) and its predecessors. This coalition was also able to reproduce and adapt in a world where Europe changed from an emigration to an immigration continent.

Migration management technocracy has deep roots, going back to a discourse coalition of (migrant) administrators and scholars that formed in the 1950s, with both policy makers and scholars serving as academic board members and shaping international agendas.

They track the evolution of the shared discourse between policy makers and scientists that shaped a 50-year technocracy using network analysis and content analysis of the board members and authors of journals on migration management.

Using the novel publication form of the Journal of Digital History @FaassenMarijke @HoekR @marijnkoolen connect digital and analog methods to analyse the evolution of an international discourse coalition on migration management since the 1950s.

A few weeks ago, we published a new article: "Fifty Years of Technocracy. International Migration Management as an Evolving Discourse Coalition" -

Nouvelles formes d’écriture, et donc de publication: les « articles à strates multiples » du @Journal_DigHist, par Frédéric Clavert.

Interested in the application of #3D and #VR technologies to #mediaheritage collections? We are hiring for a funded PhD position in Digital Approaches in Media Heritage @Cultuur_OU. Deadline 26 May, start date 1 September @OU_Nederland 👉 https://t.co/AUjSkyQ4KV @AlexanderPeine

Vou encerrar a aula comentando a publicação multi-camadas (narrativa, hermenêutica e dados) do @Journal_DigHist (iniciativa conjunta dos colegas do @C2DH_LU + @dg_history). Deixo o link pra quem está acompanhando esse tweet e ainda não conhece a revista:

New article just came out! I continue my analysis of European social democracy at the beginning of the Cold War, but I do so through the tools of digital humanities, particularly quantitative text analysis!

Finally, it is not enough to apply new tools, developed for literature or other historical periods, to old material. Digital historians of the Cold War must develop specific methods and instruments, such as list of ngrams tailored for the political language of the time.

DH tackles a key methodological question: with mass politics involving hundreds of politicians and millions of activists, is it enough to just do close reading of few selected speeches? Big data brings new insights into XXth Century mass parties https://t.co/Sv4Kl1CNY0

Topic modeling can describe what social democrats were talking about at the time, what were their interests and concerns. But it can do more! Behind the façade of unity, it can map hidden differences among socialists, what were their preferences and with whom they formed groups

The article examines all the public texts produced by the Socialist International (@Soc_Intl) in the early Cold War. What can they tell about European social democracy and its ideas about bipolar tension, communism, colonialism, European integration, planning, socialism?

New article! @Ettore_Costa explores the beginning of the Cold War and social democratic political culture through the tools of quantitative text analysis, specifically Topic Modeling #DigitalHumanities #twitterstorians #dighist #coldwarhistory #NLP https://t.co/Sv4Kl1CNY0

And we are back!