Helen Margetts

Helen Margetts

University of Oxford

H-index: 53

Europe-United Kingdom

About Helen Margetts

Helen Margetts, With an exceptional h-index of 53 and a recent h-index of 34 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Political Science, Public Policy, Collective Action, Digital Government, Public Administration.

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

Understanding gender differences in experiences and concerns surrounding online harms: A short report on a nationally representative survey of UK adults

Understanding engagement with platform safety technology for reducing exposure to online harms

Women are less comfortable expressing opinions online than men and report heightened fears for safety: Surveying gender differences in experiences of online harms

AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions

Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter

Computational social science for public policy

How rediscovering nodality can improve democratic governance in a digital world

Artificial intelligence in government: Concepts, standards, and a unified framework

Helen Margetts Information

University

Position

Professor of Society and the Internet

Citations(all)

15859

Citations(since 2020)

6812

Cited By

11139

hIndex(all)

53

hIndex(since 2020)

34

i10Index(all)

130

i10Index(since 2020)

67

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Helen Margetts Skills & Research Interests

Political Science

Public Policy

Collective Action

Digital Government

Public Administration

Top articles of Helen Margetts

Title

Journal

Author(s)

Publication Date

Understanding gender differences in experiences and concerns surrounding online harms: A short report on a nationally representative survey of UK adults

arXiv preprint arXiv:2402.00463

Florence E Enock

Francesca Stevens

Jonathan Bright

Miranda Cross

Pica Johansson

...

2024/2/1

Understanding engagement with platform safety technology for reducing exposure to online harms

arXiv preprint arXiv:2401.01796

Jonathan Bright

Florence E Enock

Pica Johansson

Helen Z Margetts

Francesca Stevens

2024/1/3

Women are less comfortable expressing opinions online than men and report heightened fears for safety: Surveying gender differences in experiences of online harms

arXiv preprint arXiv:2403.19037

Francesca Stevens

Florence E Enock

Tvesha Sippy

Jonathan Bright

Miranda Cross

...

2024/3/27

AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions

arXiv preprint arXiv:2403.14712

Vincent J Straub

Youmna Hashem

Jonathan Bright

Satyam Bhagwanani

Deborah Morgan

...

2024/3/18

Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter

arXiv preprint arXiv:2402.08765

Leonardo Castro-Gonzalez

Sukankana Chakraborty

Helen Margetts

Hardik Rajpal

Daniele Guariso

...

2024/2/13

Computational social science for public policy

Helen Margetts

Cosmina Dorobantu

2023/1/24

How rediscovering nodality can improve democratic governance in a digital world

Public Administration

Helen Margetts

Peter John

2023

Artificial intelligence in government: Concepts, standards, and a unified framework

Government Information Quarterly

Vincent J Straub

Deborah Morgan

Jonathan Bright

Helen Margetts

2023/10/1

Data science, artificial intelligence and the third wave of digital era governance

Public Policy and Administration

Patrick Dunleavy

Helen Margetts

2023/9/25

An actor-based approach to understanding radical right viral tweets in the UK

Journal of Policing, Intelligence and Counter Terrorism

Laila Sprejer

Helen Margetts

Kleber Oliveira

David JP O’Sullivan

Bertie Vidgen

2023/4/3

Tracking experiences of online harms and attitudes towards online safety interventions: Findings from a large-scale, nationally representative survey of the british public

Nationally Representative Survey of the British Public (March 21, 2023)

Florence Enock

Pica Johansson

Jonathan Bright

Helen Zerlina Margetts

2023/3/21

Rethinking AI for good governance

Daedalus

Helen Margetts

2022/5/1

Islamophobes are not all the same! A study of far right actors on Twitter

Journal of policing, intelligence and counter terrorism

Bertie Vidgen

Taha Yasseri

Helen Margetts

2022/1/2

Differentially private survey research

American Journal of Political Science

Georgina Evans

Gary King

Adam D Smith

Abhradeep Thakurta

Jonathan Katz

...

2022

How can we combat online misinformation? A systematic overview of current interventions and their efficacy

Pica Johansson

Florence Enock

Scott Hale

Bertie Vidgen

Cassidy Bereskin

...

2022/12/22

Common regulatory capacity for AI

The Alan Turing Institute

Mhairi Aitken

David Leslie

Florian Ostmann

Jacob Pratt

Helen Margetts

...

2022

Tracking abuse on Twitter against football players in the 2021–22 Premier League Season

Available at SSRN 4403913

Bertie Vidgen

Yi-Ling Chung

Pica Johansson

Hannah Rose Kirk

Angus Williams

...

2022/8/2

Resilient government requires data science reform

Nature Human Behaviour

Ben D MacArthur

Cosmina L Dorobantu

Helen Z Margetts

2022/8

Statistically valid inferences from differentially private data releases, ii: Extensions to nonlinear transformations

Political Analysis

Georgina Evans

Gary King

2021

Integrating explanation and prediction in computational social science

Jake M Hofman

Duncan J Watts

Susan Athey

Filiz Garip

Thomas L Griffiths

...

2021/7/8

See List of Professors in Helen Margetts University(University of Oxford)

Co-Authors

H-index: 68
Peter John

Peter John

King's College

H-index: 28
Scott A. Hale

Scott A. Hale

University of Oxford

H-index: 16
Jane Tinkler

Jane Tinkler

University of Stirling

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