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2020 – today
- 2024
[c7]Aleksi Knuutila, Anna George, Jonathan Bright, Philip Howard:
The Spread of Anti-vaccination Memes on Facebook. MISDOOM 2024: 86-100- [c6]Yi-Ling Chung, Jonathan Bright:
On the Effectiveness of Adversarial Robustness for Abuse Mitigation with Counterspeech. NAACL-HLT 2024: 6988-7002 - [i31]Jonathan Bright, Florence E. Enock, Saba Esnaashari, John Francis, Youmna Hashem, Deborah Morgan:
Generative AI is already widespread in the public sector. CoRR abs/2401.01291 (2024) - [i30]Jonathan Bright, Florence E. Enock, Pica Johansson, Helen Z. Margetts, Francesca Stevens:
Understanding engagement with platform safety technology for reducing exposure to online harms. CoRR abs/2401.01796 (2024) - [i29]Leonardo Castro-Gonzalez, Yi-Ling Chung, Hannak Rose Kirk, John Francis, Angus R. Williams, Pica Johansson, Jonathan Bright:
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data. CoRR abs/2401.12295 (2024) - [i28]Florence E. Enock, Francesca Stevens, Jonathan Bright, Miranda Cross
, Pica Johansson, Judy Wajcman, Helen Z. Margetts:
Understanding gender differences in experiences and concerns surrounding online harms: A short report on a nationally representative survey of UK adults. CoRR abs/2402.00463 (2024) - [i27]Pica Johansson, Jonathan Bright, Shyam Krishna, Claudia Fischer, David Leslie:
Exploring responsible applications of Synthetic Data to advance Online Safety Research and Development. CoRR abs/2402.04910 (2024) - [i26]Leonardo Castro-Gonzalez, Sukankana Chakraborty, Helen Z. Margetts, Hardik Rajpal, Daniele Guariso, Jonathan Bright:
Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter. CoRR abs/2402.08765 (2024) - [i25]Vincent J. Straub, Youmna Hashem, Jonathan Bright, Satyam Bhagwanani, Deborah Morgan, John Francis, Saba Esnaashari, Helen Z. Margetts:
AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions. CoRR abs/2403.14712 (2024) - [i24]Francesca Stevens, Florence E. Enock, Tvesha Sippy, Jonathan Bright, Miranda Cross, Pica Johansson, Judy Wajcman, Helen Z. Margetts:
Women are less comfortable expressing opinions online than men and report heightened fears for safety: Surveying gender differences in experiences of online harms. CoRR abs/2403.19037 (2024) - [i23]Kobi Hackenburg, Ben M. Tappin, Paul Röttger, Scott Hale, Jonathan Bright, Helen Z. Margetts:
Evidence of a log scaling law for political persuasion with large language models. CoRR abs/2406.14508 (2024) - [i22]Tvesha Sippy, Florence Enock, Jonathan Bright, Helen Z. Margetts:
Behind the Deepfake: 8% Create; 90% Concerned. Surveying public exposure to and perceptions of deepfakes in the UK. CoRR abs/2407.05529 (2024) - [i21]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:
Large language models can consistently generate high-quality content for election disinformation operations. CoRR abs/2408.06731 (2024) - [i20]Ryan Sze-Yin Chan, Federico Nanni, Edwin Brown, Ed Chapman, Angus R. Williams, Jonathan Bright, Evelina Gabasova:
Prompto: An open source library for asynchronous querying of LLM endpoints. CoRR abs/2408.11847 (2024) - [i19]Liam Burke-Moore, Angus R. Williams, Jonathan Bright:
Journalists are most likely to receive abuse: Analysing online abuse of UK public figures across sport, politics, and journalism on Twitter. CoRR abs/2409.03376 (2024) - 2023
- [j5]Vincent J. Straub, Deborah Morgan, Jonathan Bright, Helen Z. Margetts:
Artificial intelligence in government: Concepts, standards, and a unified framework. Gov. Inf. Q. 40(4): 101881 (2023) - [c5]Vincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright:
A multidomain relational framework to guide institutional AI research and adoption. AIES 2023: 512-519 - [c4]Vincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright:
A Multidomain Relational Framework to Guide Institutional AI Research and Adoption. EWAF 2023 - [i18]Vincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright:
A multidomain relational framework to guide institutional AI research and adoption. CoRR abs/2303.10106 (2023) - [i17]Deborah Morgan, Youmna Hashem, Vincent J. Straub, Jonathan Bright:
'Team-in-the-loop' organisational oversight of high-stakes AI. CoRR abs/2303.14007 (2023) - [i16]Yi-Ling Chung, Gavin Abercrombie, Florence Enock, Jonathan Bright, Verena Rieser:
Understanding Counterspeech for Online Harm Mitigation. CoRR abs/2307.04761 (2023) - [i15]Hannah Rose Kirk, Angus R. Williams, Liam Burke, Yi-Ling Chung, Ivan Debono, Pica Johansson, Francesca Stevens, Jonathan Bright, Scott A. Hale:
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures. CoRR abs/2307.16811 (2023) - [i14]Saba Esnaashari, Jonathan Bright, John Francis, Youmna Hashem, Vincent J. Straub, Deborah Morgan:
Approaches to the Algorithmic Allocation of Public Resources: A Cross-disciplinary Review. CoRR abs/2310.06475 (2023) - 2022
- [i13]Vincent J. Straub, Deborah Morgan, Jonathan Bright, Helen Z. Margetts:
Artificial intelligence in government: Concepts, standards, and a unified framework. CoRR abs/2210.17218 (2022) - [i12]Pica Johansson, Florence Enock, Scott A. Hale, Bertie Vidgen, Cassidy Bereskin, Helen Z. Margetts, Jonathan Bright:
How can we combat online misinformation? A systematic overview of current interventions and their efficacy. CoRR abs/2212.11864 (2022) - 2021
- [e1]Jonathan Bright, Anastasia Giachanou, Viktoria Spaiser, Francesca Spezzano, Anna George, Alexandra Pavliuc:
Disinformation in Open Online Media - Third Multidisciplinary International Symposium, MISDOOM 2021, Virtual Event, September 21-22, 2021, Proceedings. Lecture Notes in Computer Science 12887, Springer 2021, ISBN 978-3-030-87030-0 [contents] - [i11]Lisa Oswald, Jonathan Bright:
How do climate change skeptics engage with opposing views? Understanding mechanisms of social identity and cognitive dissonance in an online forum. CoRR abs/2102.06516 (2021) - 2020
- [i10]Jonathan Bright, Nahema Marchal, Bharath Ganesh, Stevan Rudinac:
Echo Chambers Exist! (But They're Full of Opposing Views). CoRR abs/2001.11461 (2020)
2010 – 2019
- 2019
- [c3]Thomas M. Vogl, Cathrine F. Seidelin, Bharath Ganesh, Jonathan Bright:
Algorithmic Bureaucracy. DG.O 2019: 148-153 - [i9]Chico Q. Camargo, Jonathan Bright, Scott A. Hale:
Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information. CoRR abs/1905.07964 (2019) - [i8]Chico Q. Camargo, Jonathan Bright, Graham McNeill, Sridhar Raman, Scott A. Hale:
Estimating Traffic Disruption Patterns with Volunteered Geographic Information. CoRR abs/1907.05162 (2019) - [i7]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:
SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python. CoRR abs/1907.10121 (2019) - 2018
- [j4]Jonathan Bright:
Explaining the Emergence of Political Fragmentation on Social Media: The Role of Ideology and Extremism. J. Comput. Mediat. Commun. 23(1): 17-33 (2018) - [i6]Tom Nicholls, Jonathan Bright:
Understanding news story chains using information retrieval and network clustering techniques. CoRR abs/1801.07988 (2018) - 2017
- [j3]Graham McNeill, Jonathan Bright, Scott A. Hale:
Estimating local commuting patterns from geolocated Twitter data. EPJ Data Sci. 6(1): 24 (2017) - [c2]Scott A. Hale, Graham McNeill, Jonathan Bright:
Where'd it go? How Geographic and Force-directed Layouts Affect Network Task Performance. EuroRV³@EuroVis 2017: 13-17 - [i5]Jonathan Bright, Scott A. Hale, Bharath Ganesh, Andrew Bulovsky, Helen Z. Margetts, Phil Howard:
Does Campaigning on Social Media Make a Difference? Evidence from candidate use of Twitter during the 2015 and 2017 UK Elections. CoRR abs/1710.07087 (2017) - 2016
- [j2]Taha Yasseri, Jonathan Bright:
Wikipedia traffic data and electoral prediction: towards theoretically informed models. EPJ Data Sci. 5(1): 22 (2016) - [i4]Jonathan Bright:
Explaining the emergence of echo chambers on social media: the role of ideology and extremism. CoRR abs/1609.05003 (2016) - [i3]Graham McNeill, Jonathan Bright, Scott A. Hale:
Estimating Local Commuting Patterns From Geolocated Twitter Data. CoRR abs/1612.01785 (2016) - 2015
- [i2]Taha Yasseri, Jonathan Bright:
Predicting elections from online information flows: towards theoretically informed models. CoRR abs/1505.01818 (2015) - 2014
- [j1]Taha Yasseri, Jonathan Bright:
Can electoral popularity be predicted using socially generated big data? it Inf. Technol. 56(5): 246-253 (2014) - 2013
- [i1]Taha Yasseri, Jonathan Bright:
Can electoral popularity be predicted using socially generated big data? CoRR abs/1312.2818 (2013)
1990 – 1999
- 1994
- [c1]Jonathan Bright, Simon Kasif, Lewis Stiller:
Exploiting Algebraic Structure in Parallel State Space Search. AAAI 1994: 1341-1346
Coauthor Index
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