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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

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. 

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 [...]

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 [...]

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. [...]

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 [...]

Eszter Katona, Domonkos Sik, Renáta Németh (2021): Automated text analysis of topics represented on depression forums using the biopsychosocial model of depression

2021.12.14. Result Publication Discursive framing of depression in online health communities

The Journal Egészségfejlesztés requested a short report for Hungarian professionals about the results of our research series in the topic of online depression forums.

Domonkos Sik (2021): Empty Suffering. A Social Phenomenology of Depression, Anxiety and Addiction

2021.12.08. Result Publication Discursive framing of depression in online health communities

Domonkos Sik, our team member, has just published a new book by Routledge summarizing ten years of research on social suffering: https://www.routledge.com/Empty-Suffering-A-Social-Phenomenology-of-Depression-Anxiety-and-Addiction/Sik/p/book/9781032045573 Domonkos leads our research team's analysis of online depression forums: https://rc2s2.elte.hu/en/project/discursive-framing-of-depression-in-online-health-communities/

Success

2021.12.01.

The work of our PhD researcher, Árpád Knap, was selected among the best of the New National Excellence Programme (ÚNKP) 2020/21 cycle at ELTE, based on his final report and presentation. In his research entitled "Analysing emotions related to twentieth-century traumas using text analytics methods" Árpád analysed newspaper articles related [...]

Domonkos Sik, Renáta Németh, Eszter Katona: Topic modelling online depression forums: beyond narratives of self-objectification and self-blaming

2021.09.29. Result Publication Discursive framing of depression in online health communities

A publication of our research group has been published by Journal of Mental Health (IF 4.3). If you don’t have access to T&F, feel free to use one of the 50 free online copies: https://www.tandfonline.com/eprint/AFFUU26JFMIB7BNXATAZ/full?target=10.1080/09638237.2021.1979493

Our student’s thesis was named year’s best

2021.08.30.

We are pleased to announce that our student, Norbert Kerekes, has won the "Thesis of the Year" award for his work at the MSc in Survey Statistics and Data Analytics. Congratulations! The thesis is available on our website, along with other CSS-related theses previously led by members of our research [...]

Our research team is expanding with two new members starting from september

2021.07.27.

Zsófia Rakovics was accepted to the Sociology Doctoral Programme of our faculty’s Doctoral School (her topic is Sociological study of language polarization – Online political communication in neopopulism, advisors are Domonkos Sik and Renáta Németh), and Tímea Emese Tóth will be the scholarship student of the Interdisciplinary Social Research Doctoral [...]

International Sociological Association’s RC33 conference

2021.07.26.

International Sociological Association's RC33 conference, 7-10 September 2021, online via Teams. Session 12: Natural Language Processing: a New Tool in the Methodological Tool-Box of Sociology. Presenters and co-authors from our research group: Ildikó Barna, Eszter Katona, Árpád Knap, Renáta Németh, Márton Rakovics, Domonkos Sik. Session chair: Ildikó Barna & Renáta [...]

Eszter Katona, Zoltán Kmetty, Renáta Németh (2021): Applying natural language processing to analyise the representation of corruption in the Hungarian online media

2021.07.19. Result Publication Corruption in Online Editorial Media

This paper presents a thematic analysis of the representation of corruption in the Hungarian online media, using a text mining tool called dynamic topic modeling. The text corpus was provided by K-Monitor and includes online articles on corruption and issues related to the misuse of public funds. Our study is [...]

Eszter Katona, Árpád Knap, Fanni Máté, Mihály Csótó – Topic modelling of the Információs Társadalom

2021.07.13. Result Publication

Three members of our research group: Eszter Katona, Árpád Knap and Fanni Máté, with the contribution of Mihály Csótó, wrote an article for the special anniversary issue of the Information Society journal. The primary aim of the study is to review the topics that the journal has included in the [...]

Fanni Máté (2021): Social Support on an Online Forum for Depression and Anxiety

2021.06.13. Result Publication Discursive framing of depression in online health communities

Nowadays, online communities are typical sources of social support, which is a considerable help especially for those suffering from depression or anxiety. The aim of my research is to investigate the patterns of social support on an online depression and anxiety forum and to serve as an exploratory research of [...]

Eszter Katona, Renáta Németh (2021): Automated text analytics in corruption research

2021.05.22. Result Publication Corruption in Online Editorial Media The layers of political public sphere in Hungary (2001–2020)

Our study examines the use and possible applicability of Natural Language Processing (NLP) in corruption research. In our review, we aim to collect and summarize automated text analytics-based corruption research born after 2000. We focus on the prevalence and potential of NLP methods. We found significant differences in the textual [...]