Exploiting Algebraic Structure in Parallel State Space Search. - Jonathan Bright; Simon Kasif; Lewis Stiller (AAAI, 1994)

Can electoral popularity be predicted using socially generated big data? - Taha Yasseri; Jonathan Bright (it Inf. Technol., 2014)

Predicting elections from online information flows: towards theoretically informed models. - Taha Yasseri; Jonathan Bright (CoRR, 2015)

Explaining the emergence of echo chambers on social media: the role of ideology and extremism. - Jonathan Bright (CoRR, 2016)

Wikipedia traffic data and electoral prediction: towards theoretically informed models. - Taha Yasseri; Jonathan Bright (EPJ Data Sci., 2016)

Where'd it go? How Geographic and Force-directed Layouts Affect Network Task Performance. - Scott A. Hale; Graham McNeill; Jonathan Bright (EuroRV³@EuroVis, 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)

Estimating local commuting patterns from geolocated Twitter data. - Graham McNeill; Jonathan Bright; Scott A. Hale (EPJ Data Sci., 2017)

Understanding news story chains using information retrieval and network clustering techniques. - Tom Nicholls; Jonathan Bright (CoRR, 2018)

Explaining the Emergence of Political Fragmentation on Social Media: The Role of Ideology and Extremism. - Jonathan Bright (J. Comput. Mediat. Commun., 2018)

Algorithmic Bureaucracy. - Thomas M. Vogl; Cathrine F. Seidelin; Bharath Ganesh; Jonathan Bright (DG.O, 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)

Estimating Traffic Disruption Patterns with Volunteered Geographic Information. - Chico Q. Camargo; Jonathan Bright; Graham McNeill; Sridhar Raman; Scott A. Hale (CoRR, 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; et al. (CoRR, 2019)

Echo Chambers Exist! (But They're Full of Opposing Views). - Jonathan Bright; Nahema Marchal; Bharath Ganesh; Stevan Rudinac (CoRR, 2020)

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)

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; Helen Z. Margetts; Jonathan Bright (CoRR, 2022)

A Multidomain Relational Framework to Guide Institutional AI Research and Adoption. - Vincent J. Straub; Deborah Morgan; Youmna Hashem; John Francis; Saba Esnaashari; Jonathan Bright (EWAF, 2023)

'Team-in-the-loop' organisational oversight of high-stakes AI. - Deborah Morgan; Youmna Hashem; Vincent J. Straub; Jonathan Bright (CoRR, 2023)

Understanding Counterspeech for Online Harm Mitigation. - Yi-Ling Chung; Gavin Abercrombie; Florence Enock; Jonathan Bright; Verena Rieser (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 001; Yi-Ling Chung; Ivan Debono; Pica Johansson; Francesca Stevens; Jonathan Bright; Scott A. Hale (CoRR, 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)

Artificial intelligence in government: Concepts, standards, and a unified framework. - Vincent J. Straub; Deborah Morgan; Jonathan Bright; Helen Z. Margetts (Gov. Inf. Q., 2023)

The Spread of Anti-vaccination Memes on Facebook. - Aleksi Knuutila; Anna George; Jonathan Bright; Philip Howard (MISDOOM, 2024)

On the Effectiveness of Adversarial Robustness for Abuse Mitigation with Counterspeech. - Yi-Ling Chung; Jonathan Bright (NAACL-HLT, 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)

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)

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 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)

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)

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)

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)

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)

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)

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)

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)

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)

MIMDE: Exploring the Use of Synthetic vs Human Data for Evaluating Multi-Insight Multi-Document Extraction Tasks. - John Francis; Saba Esnaashari; Anton Poletaev; Sukankana Chakraborty; Youmna Hashem; Jonathan Bright (CoRR, 2024)

Unite the study of AI in government: With a shared language and typology. - Vincent J. Straub; Jonathan Bright (AI Soc., 2025)

Generative AI is already widespread in the public sector: evidence from a survey of UK public sector professionals. - Jonathan Bright; Florence Enock; Saba Esnaashari; John Francis; Youmna Hashem; Deborah Morgan (Digit. Gov. Res. Pract., 2025)

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 (EPJ Data Sci., 2025)