Jonathan Bright

Orcid: 0000-0002-1248-9275

According to our database1, Jonathan Bright authored at least 31 papers between 1994 and 2024.

Collaborative distances:



In proceedings 
PhD thesis 




Women are less comfortable expressing opinions online than men and report heightened fears for safety: Surveying gender differences in experiences of online harms.
CoRR, 2024

AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions.
CoRR, 2024

Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter.
CoRR, 2024

Exploring responsible applications of Synthetic Data to advance Online Safety Research and Development.
CoRR, 2024

Understanding gender differences in experiences and concerns surrounding online harms: A short report on a nationally representative survey of UK adults.
CoRR, 2024

Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data.
CoRR, 2024

Understanding engagement with platform safety technology for reducing exposure to online harms.
CoRR, 2024

Generative AI is already widespread in the public sector.
CoRR, 2024

Artificial intelligence in government: Concepts, standards, and a unified framework.
Gov. Inf. Q., October, 2023

Approaches to the Algorithmic Allocation of Public Resources: A Cross-disciplinary Review.
CoRR, 2023

DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures.
CoRR, 2023

Understanding Counterspeech for Online Harm Mitigation.
CoRR, 2023

'Team-in-the-loop' organisational oversight of high-stakes AI.
CoRR, 2023

A Multidomain Relational Framework to Guide Institutional AI Research and Adoption.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

How can we combat online misinformation? A systematic overview of current interventions and their efficacy.
CoRR, 2022

How do climate change skeptics engage with opposing views? Understanding mechanisms of social identity and cognitive dissonance in an online forum.
CoRR, 2021

Echo Chambers Exist! (But They're Full of Opposing Views).
CoRR, 2020

SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python.
CoRR, 2019

Estimating Traffic Disruption Patterns with Volunteered Geographic Information.
CoRR, 2019

Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information.
CoRR, 2019

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

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

Understanding news story chains using information retrieval and network clustering techniques.
CoRR, 2018

Estimating local commuting patterns from geolocated Twitter data.
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.
CoRR, 2017

Where'd it go? How Geographic and Force-directed Layouts Affect Network Task Performance.
Proceedings of the 5th EuroVis Workshop on Reproducibility, 2017

Wikipedia traffic data and electoral prediction: towards theoretically informed models.
EPJ Data Sci., 2016

Explaining the emergence of echo chambers on social media: the role of ideology and extremism.
CoRR, 2016

Predicting elections from online information flows: towards theoretically informed models.
CoRR, 2015

Can electoral popularity be predicted using socially generated big data?
it Inf. Technol., 2014

Exploiting Algebraic Structure in Parallel State Space Search.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994