Elisabeth Lex

Elisabeth Lex

Technische Universität Graz

H-index: 26

Europe-Austria

About Elisabeth Lex

Elisabeth Lex, With an exceptional h-index of 26 and a recent h-index of 19 (since 2020), a distinguished researcher at Technische Universität Graz, specializes in the field of Data Science, Recommender Systems, Information Retrieval, Computational Social Science, Music.

His recent articles reflect a diverse array of research interests and contributions to the field:

Computational Narrative Framing: Towards Identifying Frames through Contrasting the Evolution of Narrations

Song lyrics have become simpler and more repetitive over the last five decades

The Framing Loop: Do Users Repeatedly Read Similar Framed News Online

The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias

FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines

Psychology-informed Information Access Systems Workshop

Transparent Music Preference Modeling and Recommendation with a Model of Human Memory Theory

Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media

Elisabeth Lex Information

University

Position

Assoc. Professor of Applied Computer Science at

Citations(all)

2156

Citations(since 2020)

1420

Cited By

1185

hIndex(all)

26

hIndex(since 2020)

19

i10Index(all)

58

i10Index(since 2020)

38

Email

University Profile Page

Technische Universität Graz

Google Scholar

View Google Scholar Profile

Elisabeth Lex Skills & Research Interests

Data Science

Recommender Systems

Information Retrieval

Computational Social Science

Music

Top articles of Elisabeth Lex

Title

Journal

Author(s)

Publication Date

Computational Narrative Framing: Towards Identifying Frames through Contrasting the Evolution of Narrations

Markus Reiter-Haas

Beate Klösch

Markus Hadler

Elisabeth Lex

2024

Song lyrics have become simpler and more repetitive over the last five decades

Scientific Reports

Emilia Parada-Cabaleiro

Maximilian Mayerl

Stefan Brandl

Marcin Skowron

Markus Schedl

...

2024/3/28

The Framing Loop: Do Users Repeatedly Read Similar Framed News Online

Proceedings of the 7th HUMANIZE Workshop

Markus Reiter-Haas

Elisabeth Lex

2024

The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias

Peter Müllner

Elisabeth Lex

Markus Schedl

Dominik Kowald

2024/3/15

FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines

Markus Reiter-Haas

Beate Klösch

Markus Hadler

Elisabeth Lex

2024/3/10

Psychology-informed Information Access Systems Workshop

Markus Schedl

Marta Moscati

Bruno Sguerra

Romain Hennequin

Elisabeth Lex

2024/3/4

Transparent Music Preference Modeling and Recommendation with a Model of Human Memory Theory

Dominik Kowald

Markus Reiter-Haas

Simone Kopeinik

Markus Schedl

Elisabeth Lex

2024/5/1

Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media

arXiv preprint arXiv:2401.10030

Markus Reiter-Haas

Beate Klösch

Markus Hadler

Elisabeth Lex

2024/1/18

OPEN ACCESS EDITED BY

Community Series-Extremophiles: Microbial Genomics and Taxogenomics, Volume II

José Luis Losada

Asier Gonzalez-Artetxe

Yousri Elghoul

Júlio A Costa

JA Costa

...

2023/11/22

Differential privacy in collaborative filtering recommender systems: a review

Peter Müllner

Elisabeth Lex

Markus Schedl

Dominik Kowald

2023

Polarized opinions on Covid-19 and environmental policy measures. The role of social media use and personal concerns in German-speaking countries.

Innovation: The European Journal of Social Science Research

Beate Klösch

Markus Hadler

Markus Reiter-Haas

Elisabeth Lex

2023/4/21

ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations

ACM Transactions on Intelligent Systems and Technology

Peter Müllner

Elisabeth Lex

Markus Schedl

Dominik Kowald

2023/8/12

A study on accuracy, miscalibration, and popularity bias in recommendations

Dominik Kowald

Gregor Mayr

Markus Schedl

Elisabeth Lex

2023/4/2

Fairness of information access systems: Detecting and mitigating harmful biases in information retrieval and recommender systems

Markus Schedl

Elisabeth Lex

2023/8/7

mcpt at semeval-2023 task 3: Multilingual label-aware contrastive pre-training of transformers for few-and zero-shot framing detection

arXiv preprint arXiv:2303.09901

Markus Reiter-Haas

Alexander Ertl

Kevin Innerebner

Elisabeth Lex

2023/3/17

3 Fairness of information access systems

Personalized Human-Computer Interaction

Markus Schedl

Elisabeth Lex

2023/8/7

Polarization of opinions on COVID-19 measures: integrating twitter and survey data

Social Science Computer Review

Markus Reiter-Haas

Beate Klösch

Markus Hadler

Elisabeth Lex

2023/10

Trustworthy Algorithmic Ranking Systems

Markus Schedl

Emilia Gómez

Elisabeth Lex

2023/2/27

Computational Versus Perceived Popularity Miscalibration in Recommender Systems

Oleg Lesota

Gustavo Escobedo

Yashar Deldjoo

Bruce Ferwerda

Simone Kopeinik

...

2023/7/19

Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives

Markus Schedl

Vito Walter Anelli

Elisabeth Lex

2023/9/14

See List of Professors in Elisabeth Lex University(Technische Universität Graz)

Co-Authors

H-index: 52
Markus Schedl

Markus Schedl

Johannes Kepler Universität Linz

H-index: 33
Granitzer Michael

Granitzer Michael

Universität Passau

H-index: 29
Christin Seifert

Christin Seifert

Universität Duisburg-Essen

H-index: 27
Juan Gorraiz

Juan Gorraiz

Universität Wien

H-index: 26
Denis Helic

Denis Helic

Technische Universität Graz

H-index: 22
Christian Gumpenberger

Christian Gumpenberger

Universität Wien

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