Felix Soldner

Felix Soldner

University College London

H-index: 3

Europe-United Kingdom

About Felix Soldner

Felix Soldner, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at University College London, specializes in the field of computational social sciences, crime science, natural language processing, dark web, fraud.

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

Total Error Sheets for Datasets (TES-D)--A Critical Guide to Documenting Online Platform Datasets

The Dark Web: A Brief Introduction

Combating online consumer fraud and counterfeits: A data science perspective

Counterfeits on dark markets: a measurement between Jan-2014 and Sep-2015

GESIS Fall Seminar in Computational Social Science 2023

Confounds and overestimations in fake review detection: Experimentally controlling for product-ownership and data-origin

Explainable verbal deception detection using transformers

Trends in online consumer fraud:: A data science perspective

Felix Soldner Information

University

Position

Phd student Department of Security and Crime science

Citations(all)

95

Citations(since 2020)

95

Cited By

12

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Felix Soldner Skills & Research Interests

computational social sciences

crime science

natural language processing

dark web

fraud

Top articles of Felix Soldner

Title

Journal

Author(s)

Publication Date

Total Error Sheets for Datasets (TES-D)--A Critical Guide to Documenting Online Platform Datasets

arXiv preprint arXiv:2306.14219

Leon Fröhling

Indira Sen

Felix Soldner

Leonie Steinbrinker

Maria Zens

...

2023/6/25

The Dark Web: A Brief Introduction

easy_social_sciences

Felix Soldner

2023

Combating online consumer fraud and counterfeits: A data science perspective

Felix David Soldner

2023/11/28

Counterfeits on dark markets: a measurement between Jan-2014 and Sep-2015

Crime Science

Felix Soldner

Bennett Kleinberg

Shane D Johnson

2023/10/17

GESIS Fall Seminar in Computational Social Science 2023

Felix Soldner

Jun Sun

Leon Fröhling

2023/9/18

Confounds and overestimations in fake review detection: Experimentally controlling for product-ownership and data-origin

Plos one

Felix Soldner

Bennett Kleinberg

Shane D Johnson

2022/12/7

Explainable verbal deception detection using transformers

arXiv preprint arXiv:2210.03080

Loukas Ilias

Felix Soldner

Bennett Kleinberg

2022/10/6

Trends in online consumer fraud:: A data science perspective

Felix Soldner

Bennett Kleinberg

Shane Johnson

2022

Supervised machine learning methods in psychology: A practical introduction with annotated R code

Hannes Rosenbusch

Felix Soldner

Anthony M Evans

Marcel Zeelenberg

2021/2

Using Machine Learning Methods to Study Technology-Facilitated Abuse: Evidence from the Analysis of UK Crimestoppers’ Text Data

The Palgrave Handbook of Gendered Violence and Technology

Felix Soldner

Leonie Maria Tanczer

Daniel Hammocks

Isabel Lopez-Neira

Shane D Johnson

2021

See List of Professors in Felix Soldner University(University College London)

Co-Authors

H-index: 56
Shane D Johnson

Shane D Johnson

University College London

H-index: 28
Veronica Perez-Rosas

Veronica Perez-Rosas

University of Michigan

H-index: 19
Mykola Makhortykh

Mykola Makhortykh

Universität Bern

H-index: 11
Maximilian Mozes

Maximilian Mozes

University College London

H-index: 10
Isabelle van der Vegt

Isabelle van der Vegt

University College London

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