Jonathan Bright

According to our database, Jonathan Bright authored at least 38 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Journalists are most likely to receive abuse: Analysing online abuse of UK public figures across sport, politics, and journalism on Twitter.

Liam Burke-Moore, Angus R. Williams, Jonathan Bright

CoRR, 2024

Prompto: An open source library for asynchronous querying of LLM endpoints.

Ryan Sze-Yin Chan, Federico Nanni, Edwin Brown, Ed Chapman, Angus R. Williams, Jonathan Bright, Evelina Gabasova

CoRR, 2024

Large language models can consistently generate high-quality content for election disinformation operations.

Angus R. Williams, Liam Burke-Moore, Ryan Sze-Yin Chan, Florence E. Enock, Federico Nanni, Tvesha Sippy, Yi-Ling Chung, Evelina Gabasova, Kobi Hackenburg, Jonathan Bright

CoRR, 2024

Behind the Deepfake: 8% Create; 90% Concerned. Surveying public exposure to and perceptions of deepfakes in the UK.

Tvesha Sippy, Florence Enock, Jonathan Bright, Helen Z. Margetts

CoRR, 2024

Evidence of a log scaling law for political persuasion with large language models.

Kobi Hackenburg, Ben M. Tappin, Paul Röttger, Scott Hale, Jonathan Bright, Helen Z. Margetts

CoRR, 2024

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

Francesca Stevens, Florence E. Enock, Tvesha Sippy, Jonathan Bright, Miranda Cross, Pica Johansson, Judy Wajcman, Helen Z. Margetts

CoRR, 2024

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

Vincent J. Straub, Youmna Hashem, Jonathan Bright, Satyam Bhagwanani, Deborah Morgan, John Francis, Saba Esnaashari, Helen Z. Margetts

CoRR, 2024

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

Leonardo Castro-Gonzalez, Sukankana Chakraborty, Helen Z. Margetts, Hardik Rajpal, Daniele Guariso, Jonathan Bright

CoRR, 2024

Exploring responsible applications of Synthetic Data to advance Online Safety Research and Development.

Pica Johansson, Jonathan Bright, Shyam Krishna, Claudia Fischer, David Leslie

CoRR, 2024

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

Florence E. Enock, Francesca Stevens, Jonathan Bright, Miranda Cross, Pica Johansson, Judy Wajcman, Helen Z. Margetts

CoRR, 2024

Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data.

Leonardo Castro-Gonzalez, Yi-Ling Chung, Hannak Rose Kirk, John Francis, Angus R. Williams, Pica Johansson, Jonathan Bright

CoRR, 2024

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

Jonathan Bright, Florence E. Enock, Pica Johansson, Helen Z. Margetts, Francesca Stevens

CoRR, 2024

Generative AI is already widespread in the public sector.

Jonathan Bright, Florence E. Enock, Saba Esnaashari, John Francis, Youmna Hashem, Deborah Morgan

CoRR, 2024

On the Effectiveness of Adversarial Robustness for Abuse Mitigation with Counterspeech.

Yi-Ling Chung, Jonathan Bright

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

The Spread of Anti-vaccination Memes on Facebook.

Aleksi Knuutila, Anna George, Jonathan Bright, Philip Howard

Proceedings of the Disinformation in Open Online Media, 2024

2023

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

Vincent J. Straub, Deborah Morgan, Jonathan Bright, Helen Z. Margetts

Gov. Inf. Q., October, 2023

Approaches to the Algorithmic Allocation of Public Resources: A Cross-disciplinary Review.

Saba Esnaashari, Jonathan Bright, John Francis, Youmna Hashem, Vincent J. Straub, Deborah Morgan

CoRR, 2023

DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures.

Hannah Rose Kirk, Angus R. Williams, Liam Burke, Yi-Ling Chung, Ivan Debono, Pica Johansson, Francesca Stevens, Jonathan Bright, Scott A. Hale

CoRR, 2023

Understanding Counterspeech for Online Harm Mitigation.

Yi-Ling Chung, Gavin Abercrombie, Florence Enock, Jonathan Bright, Verena Rieser

CoRR, 2023

'Team-in-the-loop' organisational oversight of high-stakes AI.

Deborah Morgan, Youmna Hashem, Vincent J. Straub, Jonathan Bright

CoRR, 2023

A Multidomain Relational Framework to Guide Institutional AI Research and Adoption.

Vincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

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

Pica Johansson, Florence Enock, Scott A. Hale, Bertie Vidgen, Cassidy Bereskin, Helen Z. Margetts, Jonathan Bright

CoRR, 2022

2021

How do climate change skeptics engage with opposing views? Understanding mechanisms of social identity and cognitive dissonance in an online forum.

Lisa Oswald, Jonathan Bright

CoRR, 2021

2020

Echo Chambers Exist! (But They're Full of Opposing Views).

Jonathan Bright, Nahema Marchal, Bharath Ganesh, Stevan Rudinac

CoRR, 2020

2019

SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python.

Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, Ilhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1. 0 Contributors

CoRR, 2019

Estimating Traffic Disruption Patterns with Volunteered Geographic Information.

Chico Q. Camargo, Jonathan Bright, Graham McNeill, Sridhar Raman, Scott A. Hale

CoRR, 2019

Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information.

Chico Q. Camargo, Jonathan Bright, Scott A. Hale

CoRR, 2019

Algorithmic Bureaucracy.

Thomas M. Vogl, Cathrine F. Seidelin, Bharath Ganesh, Jonathan Bright

Proceedings of the 20th Annual International Conference on Digital Government Research, 2019

2018

Explaining the Emergence of Political Fragmentation on Social Media: The Role of Ideology and Extremism.

Jonathan Bright

J. Comput. Mediat. Commun., 2018

Understanding news story chains using information retrieval and network clustering techniques.

Tom Nicholls, Jonathan Bright

CoRR, 2018

2017

Estimating local commuting patterns from geolocated Twitter data.

Graham McNeill, Jonathan Bright, Scott A. Hale

EPJ Data Sci., 2017

Does Campaigning on Social Media Make a Difference? Evidence from candidate use of Twitter during the 2015 and 2017 UK Elections.

Jonathan Bright, Scott A. Hale, Bharath Ganesh, Andrew Bulovsky, Helen Z. Margetts, Phil Howard

CoRR, 2017

Where'd it go? How Geographic and Force-directed Layouts Affect Network Task Performance.

Scott A. Hale, Graham McNeill, Jonathan Bright

Proceedings of the 5th EuroVis Workshop on Reproducibility, 2017

2016

Wikipedia traffic data and electoral prediction: towards theoretically informed models.

Taha Yasseri, Jonathan Bright

EPJ Data Sci., 2016

Explaining the emergence of echo chambers on social media: the role of ideology and extremism.

Jonathan Bright

CoRR, 2016

2015

Predicting elections from online information flows: towards theoretically informed models.

Taha Yasseri, Jonathan Bright

CoRR, 2015

2014

Can electoral popularity be predicted using socially generated big data?

Taha Yasseri, Jonathan Bright

it Inf. Technol., 2014

1994

Exploiting Algebraic Structure in Parallel State Space Search.

Jonathan Bright, Simon Kasif, Lewis Stiller

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994