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The RC2S2 (Research Center for Computational Social Science) research group was established at the Institute of Empirical Studies of the Eötvös Loránd University in 2018 by the expansion of the former Methodological Research Center. The leaders of the research group are Ildikó Barna and Renáta Németh.

Our research team uses methods of data mining and text mining to analyse textual data available on the internet or digitalized offline texts. We also use network analysis and develop data visualization solutions. Our research topics are diverse, we deal with online hate speech, the online representation of corruption and we analyse online forums with the main focus on depression.

The data revolution that has taken place in recent decades and the digital data generated by our everyday activities became a socially relevant source of information. Responding to this, the methodology of quantitative social research uses by now methods of computer science and artificial intelligence research. This new research area is called computational social science in the international literature. Subfields of Computational Social Science are data science (machine learning, text analytics), network analysis and data visualization. The digital revolution not only brought new data sources, but also changed the society. As sociologists, our goal is to get to know this new type of society. We are convinced that the computational trend will be inescapable. The aim of the RC2S2 research group is to discover the social knowledge of this area and to develop and adopt new methods, and explore its epistemological consequences.

News and Results

Text. Machine. Society.

2022.07.22. Featured Data Science in Social Research Digital Lens Discursive framing of depression in online health communities The layers of political public sphere in Hungary (2001–2020)

Capturing social relations through computational analysis of textual data 20/09/2022 Our research group is organizing a workshop on 20 September. Over the past four years, we have been supported by several national and international grants, and the workshop aims to present our current research results. Our workshop also aims to [...]

Eszter Katona, Mihály Fazekas (2022): Hidden barriers to open competition: Using text mining to uncover corrupt restrictions to competition in Public Procurement

2022.07.15. Result Presentation Corruption in Online Editorial Media

Following a previous presentation, Eszter Katona, a member of our research group, was invited to the ICSA (International Conference on Sustainability Analysis) conference on 15.07.2022. The panel is entitled "Challenges and recent advancements in corruption risk assessment". Eszter presented her research with her co-supervisor, Mihály Fazekas. https://icsadias.wordpress.com/

Zsófia Rakovics, Márton Rakovics (2022): Semantic evolution of words in Hungarian PM Viktor Orbán’s speeches using a temporal word embedding model focusing on the issue of migration

2022.06.22. Result Conference poster The layers of political public sphere in Hungary (2001–2020)

Zsófia Rakovics and Márton Rakovics will display the results of their research entitled "Semantic evolution of words in Hungarian PM Viktor Orbán's speeches using a temporal word embedding model focusing on the issue of migration" at the poster section of the 8th International Conference on Computational Social Science IC2S2 (The [...]

Domonkos Sik (2022): Populist Juggling with Fear – the Case of Hungary

2022.06.11. Result Presentation The layers of political public sphere in Hungary (2001–2020)

Domonkos Sik gave a presentation entitled "Populist Juggling with Fear – the Case of Hungary" at The End of “Freedom” in Central and Eastern Europe? Addressing the Challenges of an Illiberal Turn (9-11. June 2022) conference organized by Andrássy University Budapest. 

Eszter Katona (2022): Corruption risk in public tenders: using text mining to detect restrictions on competition

2022.06.03. Result Presentation Corruption in Online Editorial Media

Eszter Katona gave a presentation at the annual conference of the Centre for Social Sciences, entitled "Corruption risk in public tenders: using text mining to detect restrictions on competition " on 3 June, 2022.

Zsófia Rakovics (2022): Analyzing the semantic evolution of words related to migration in prime ministerial speeches using a temporal word embedding model

2022.06.03. Result Presentation The layers of political public sphere in Hungary (2001–2020)

Zsófia Rakovics gave a presentation at the annual conference of the Centre for Social Sciences, entitled "Analyzing the semantic evolution of words related to migration in prime ministerial speeches using a temporal word embedding model" on 3 June, 2022.

Emese Tímea Tóth (2022): Analysis of the Twitter discourse on sustainability using the methods of natural language processing

2022.06.03. Result Presentation The layers of political public sphere in Hungary (2001–2020)

Tímea Emese Tóth gave a presentation entitled "Analysis of the Twitter discourse on sustainability using the method of natural language processing" at the Centre for Social Sciences' annual conference on June 3, 2022. The performance was a great success, with Emese receiving the Special Award for the Best Doctoral Presentation [...]

Poster of the members of our research group at the CEU Data Stories exhibition

2022.05.23. Result Poszter

A visualisation of Fanni, Eszter and Árpád's previous research was also exhibited at this year's Data Stories event. https://datastoriesceu.org/gallery/happy-birthday-information-society The primary aim of the research is to use NLP tools to review the themes that the journal has introduced into the domestic discourse of "information society studies" over the past [...]

Ildikó Barna, Árpád Knap (2022): Analysis of the Thematic Structure and Discursive Framing in Articles about Trianon and the Holocaust in the Online Hungarian Press Using LDA Topic Modelling

2022.05.16. Result Publication The layers of political public sphere in Hungary (2001–2020)

The latest publication by Ildikó Barna and Árpád Knap was published in the journal Nationalities Papers (D1). In their paper, they examined the thematic structure and discursive framing in newspaper articles related to the Trianon Peace Treaty and the Holocaust using LDA topic models and qualitative analysis. The article is [...]

Conference in Zagreb

2022.05.14. Result Előadás Digital Lens

Researchers of our project Digital Lens Alexandra and Eszter are co-presenting at Workshop on NS Camps and Killing Sites in Zagreb on the ongoing topographical research of exclusion and inclusion among Holocaust survivors as understood from the DEGOB database of survivor testimonies.

Eszter Katona (2022): Using algorithms to track corruption. Applications of natural language processing in corruption research

2022.04.22. Result Presentation Corruption in Online Editorial Media

Eszter Katona, a member of our research group, gave a presentation at the 'There's something new under the sun' conference on innovative methods. Eszter's presentation was titled 'Using algorithms to track corruption. Applications of natural language processing in corruption research', and was related to her doctoral research.

Zsófia Rakovics (2022): Demonstrating the potential of Temporal Positive Pointwise Mutual Information (TPPMI) temporal word embedding model – Semantic evolution of words in prime ministerial speeches

2022.04.22. Result Presentation The layers of political public sphere in Hungary (2001–2020)

Zsófia Rakovics gave a presentation entitled Demonstrating the potential of Temporal Positive Pointwise Mutual Information (TPPMI) temporal word embedding model - Semantic evolution of words in prime ministerial speeches at the ’Van új a nap alatt’ conference of the ELTE Angelusz Róbert College for Advanced Studies in Social Sciences, 2022.04.22. [...]

Eszter Katona talks about the research group and doctoral studies

2022.04.20.

Eszter Katona, a member of our research group, was also invited to participate in the ELTE Podcast series, in an episode on doctoral education at ELTE. Three excellent PhD students from three different and exciting fields. Eszter also talks a lot about the research team. (more…)

Eszter Katona, Mihály Fazekas (2022): Hidden barriers to open competition: Using text mining to uncover corrupt restrictions to competition in Public Procurement

2022.04.20. Result Előadás

Eszter Katona, a member of our research team, also presented a paper co-authored by her co-chair at the ECPR workshop on measuring corruption. Their presentation, 'Hidden barriers to open competition: using text mining to uncover corrupt restrictions to competition in Public Procurement', is related to Eszter's PhD research.

Ildikó Barna, Árpád Knap (2021): An exploration of coronavirus-related online antisemitism in Hungary using quantitative topic model and qualitative discourse analysis

2022.01.11. Result Publication Online Antisemitism

Soon after the outbreak of the pandemic, antisemitism connected to the coronavirus appeared in the world. Ildikó Barna and Árpád Knap, members of our group analyzed the Hungarian online public sphere using quantitative topic model complemented with qualitative text analysis. They also proposed a comprehensive typology of its coronavirus-related antisemitic [...]

Árpád Knap, Diána Bartha, Ildikó Barna (2021): Analysing The Memory Politics Of Trianon And The Holocaust Using Natural Language Processing

2022.01.04. Result Publication The layers of political public sphere in Hungary (2001–2020)

A new publication by members of our research team (Árpád Knap, Diána Bartha, Ildikó Barna) on the memory politics of Trianon and the Holocaust using NLP. Within the “European Memory Politics – Populism, Nationalism and the Challenges to a European Memory Culture (EuMePo)” international research network supported by Jean Monnet [...]