DRS seminar April edition

In the April edition of DRS seminar, Pihla Toivanen introduced her Master’s thesis “Computational Frame Analysis of Populist Counter Media”. Her research is a part of the project “Information chaos and trust in traditional journalism” project carried out at Tampere University’s COMET Research Center in collaboration with Aalto University.

Pihla uses machine learning to study how Finnish populist media builds trust by referring to external information sources. In particular, populist media actively use news coming from traditional media to produce their own content (see table below). Mainstream media in Finland are trusted, and reusing their stories may help populist media to build credibility. However, populist media do not merely reproduce information from the traditional media, but actively reframe it. Pihla developed a supervised machine-learning algorithm that detects how populist media reframe stories from traditional media. The algorithm and the preliminary results of its application to unlabeled data were presented at the seminar, as well as the researcher’s future plans to develop the classification technique. After the presentation, seminar participants discussed the use of machine learning in media studies and new methodologies of media research.

HSS awards grant for ‘Sustainable Journalism for the Algorithmic Future’

Helsingin Sanomat Foundation has awarded a €130,000 grant to DRS co-founder Mariëlle Wijermars for the project ‘Sustainable Journalism for the Algorithmic Future’ (2020-2022).

The project, that in addition to Mariëlle involves Russian Media Lab researcher Olga Dovbysh, will be launched next January and run for three years (short summary below). If you are interested in getting involved or would like to know more, get in touch!

‘Sustainable Journalism for the Algorithmic Future’ (2020-2022)

The project investigates how data-driven media practices and the increased influence of IT industries on media business affect journalism and its role in the public sphere. Integrating new evidence from a hybrid media system (Russia) into a comparative study, it helps understand the context-specificity of this impact and will formulate a vision on making journalism societally, economically and ethically sustainable for the algorithmic future.

Open gov­ern­ment data in Rus­sia

Providing open data about public administration has become a trend all over the world among government bodies and local authorities. The idea is to increase transparency and to invite individuals and organisations to collaborate with the public services, and build new solutions on that data. In Russia, the executive organs have since 2012 been obliged to make their data public. What does this mean in practice? How has the order been implemented?

read the full interview with Ilona Repponen from DRS.