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Renáta Németh

Associate Professor, Head of Department

Eötvös Loránd Tudományegyetem

Hungary

Research Interests

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Professors in Hungary Professors in Psychology Psychology professors in Hungary

About

Renáta Németh is an Associate Professor and Head of Department at Eötvös Loránd Tudományegyetem Társadalomtudományi Kar, Hungary. Her research areas encompass intergroup relations, artificial intelligence in education, mental health discourses, and natural language processing in political contexts. She has published extensively on topics including the impact of COVID-19 on mental health, discrimination, and machine translation biases.

Articles (15)

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2026

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2026

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2026

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2025

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2020

Collaborators (7)

Márton Gosztonyi

Senior lecturer

Eötvös Loránd University

HUNGARY

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Cecil Meeusen

Associate professor

KU Leuven

BELGIUM

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Márton Rakovics

Assistant lecturer

Eötvös Loránd University

HUNGARY

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Miklós Szabó

Associate Professor

Eötvös Loránd University

HUNGARY

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Leen d'Haenens

Full Professor

KU Leuven

BELGIUM

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Bori Simonovits

Associate Professor

Eötvös Loránd Tudományegyetem

HUNGARY

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Ildikó Barna

Professor

HUNGARY

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Renáta Németh

Research Interests

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About

Articles (15)

Shifting Frames: A Topic Modeling-Based Framing Analysis of the 2015 European and Ukrainian Refugee Crises in Belgium and Hungary

Post-democratic discursive hegemony – a natural language processing-based analysis of Hungarian parliamentary discourses between 1998-2020

Sound symbolism in size perception: effects of child-directed speech and strategy congruence

Intergroup contact buffers influence of objective and perceived peer norms on prejudice among adolescents

Exploring the use of retrieval-augmented generation models in higher education: A pilot study on artificial intelligence-based tutoring

Often Overlooked Aspects of Sound Symbolism: The Influence of Participants’ Characteristics on Size Ratings

Depression in times of a pandemic – the impact of COVID-19 on the lay discourses of e-mental health communities

The Manifest and Latent Structures of Medicalization and Psychologization in Lay Depression Discourses — A Word Embedding Analysis of Online Forums

A scoping review on the use of natural language processing in research on political polarization: trends and research prospects

Topic modelling online depression forums: beyond narratives of self-objectification and self-blaming

The language of discrimination: assessing attention discrimination by Hungarian local governments

Bio, psycho, or social: supervised machine learning to classify discursive framing of depression in online health communities

How to measure gender bias in machine translation: Real-world oriented machine translators, multiple reference points

A felügyelt gépi tanulás kihívásai a szociológiai alkalmazásokban

Machine Learning of Concepts Hard Even for Humans: The Case of Online Depression Forums

Collaborators (7)

Márton Gosztonyi

Cecil Meeusen

Márton Rakovics

Miklós Szabó

Leen d'Haenens

Bori Simonovits

Ildikó Barna

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