Renáta Németh gave a presentation at the Hungarian Sociological Assocation’s annual meeting

2022.10.15. Presentation The layers of political public sphere in Hungary (2001–2020)

Renáta Németh presented her research results entitled “The role of domain knowledge in social research applications of data science” at the Hungarian Sociological Association’s annual meeting between the 14th and 15th October, 2022 (hosted by the University of Miskolc). The presentation was part of the ’Quantitative methodological innovations’ section.

Árpád Knap, Tímea Emese Tóth and Ildikó Barna gave a presentation at Text.Machine.Society conference

2022.09.20. The layers of political public sphere in Hungary (2001–2020)

Árpád Knap (ELTE RC2S2), Tímea Emese Tóth (ELTE RC2S2) and Ildikó Barna (ELTE RC2S2) gave a presentation at the Text.Machnine.Society conference (organized by ELTE RC2S2) entitled „Emotions in the word embeddings of articles about Trianon Peace Treaty and the Holocaust, and possible tools for automated emotion detection” on 20.09.2022.

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. 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/

Rakovics Zsófia (2022): Demonstrating potentials in the application of the Temporal Positive Pointwise Mutual Information (TPPMI) temporal word-embedding model – The change in meaning of the words in the prime ministers’ speeches

2022.07.03. Publication The layers of political public sphere in Hungary (2001–2020)

Zsófia Rakovics’s new publication is out now which is published in the new compilation ’Van új a nap alatt’ from Angelusz Róbert College for Advanced Studies. In relation to our OTKA research, the paper can be accessible in Hungarian.

ELTE-TINLAB workshop

2022.06.27. Presentation Discursive framing of depression in online health communities

On 22nd June our ELTE-TINLAB research team hosted a workshop titled ‘Online lay depression discourses – research summary and recommendations by the ELTE-TINLAB depression forum research team’, inviting professionals involved in health care and e-mental health.

Our research last semester was based on two questions: How are the online depression forum discourses affected by the covid? And, from a sociological perspective, how do these forums serve as agents of socialization?

The members of the ELTE-TINLAB depression forum research team:

Principal investigator: Domonkos Sik

Senior researcher: Renáta Németh

Researchers: Jakab Buda, Márton Rakovics, Bendegúz Zaboretzky, Eszter Katona

Clinical consultant: Máté Kapitány-Föveny

Our project is supported by the Social Innovation National Laboratory (TINLAB), NKFIH-875-4/2020

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

Zsófia Rakovics and Márton Rakovics will display the results of their research entitledSemantic 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 University of Chicago Booth School of Business, Chicago, IL, USA), July 19-22, 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. 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. 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 in the non-doctoral section.

RC2S2 researchers at the TK conference

2022.06.01. Presentation

06.03.2022, Friday

Simultaneous sections. Sociology’s place in historical researches. | WHERE? >> room K.012 | WHEN? >> 06.03., Friday 9AM starting | RC2S2 participant >> Ildikó Barna, Alexandra M. Szabó

Simultaneous sections.  Application of text analytics in social sciences. | WHERE? >> rooms K.013 and K.014 | WHEN? >> 06.03., Friday 11 AM starting | RC2S2 participant >> Eszter Katona, Árpád Knap, Zsófia Rakovics, Tímea Emese Tóth

The conference can be attended in person and online.

Tímea Emese Tóth (2021): Analysis of the Twitter Discourse on Sustainability Using Natural Language Processing

2022.05.24. Publication The layers of political public sphere in Hungary (2001–2020)

Emese Tímea Tóth, a member of our research group, writes about the sustainability discourse on Twitter. Mesi’s doctoral topic, related to our OTKA research, examines the discourse of sustainability in the triad of political publicity, online media platforms and the lay public.

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

2022.05.23. 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 15 years, and to explore the thematic structure of the journal. In addition to content analysis, the research provides insights into the co-authorship network of the journal’s contributors and the relationship between authors and specific topics.

To read: https://doi.org/10.22503/inftars.XXI.2021.1.1

To view: https://inftars.infonia.hu/inftars20?lang=hu

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. 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 open access.

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

2022.04.22. 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. 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. The work will also be published in the accompanying conference proceedings (in print).

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. 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.

Renáta Németh: Challenges of controlled machine learning in sociological applications

2022.01.24. Publication The layers of political public sphere in Hungary (2001–2020) Data Science in Social Research

One our researchers, Renáta Németh has gotten her paper published in the special issue of the journal Metszetek. Renáta examines the feature of controlled machine learning which requires human coding – touching upon ethical questions of crowdsourcing platforms, teachability of hermeneutically more complex terms, or the distortion of AI, the point of which is that the coders bring discrimination into data.

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. 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 content.

Németh, Renáta; Máté, Fanni; Katona, Eszter; Rakovics, Márton; Sik, Domonkos (2022): Bio, psycho, or social: supervised machine learning to classify discursive framing of depression in online health communities.

2022.01.08. Publication Discursive framing of depression in online health communities

Renáta Németh, Fanni Máté, Eszter Katona, Márton Rakovics and Domonkos Sik published their results in the journal Quality and Quantity: International Journal of Methodology with the following title: ” Bio, psycho, or social: supervised machine learning to classify discursive framing of depression in online health communities “.