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Jonathan Bright
Jonathan Bright
Head of AI for Public Services, Alan Turing Institute. Research Associate, Oxford Internet Institute
Verified email at turing.ac.uk
Title
Cited by
Cited by
Year
The social news gap: How news reading and news sharing diverge
J Bright
Journal of Communication 66 (3), 343-365, 2016
2042016
Explaining the emergence of political fragmentation on social media: The role of ideology and extremism
J Bright
Journal of Computer-Mediated Communication 23 (1), 17-33, 2018
166*2018
Securitisation, terror, and control: towards a theory of the breaking point
J Bright
Review of International Studies 38 (4), 861-879, 2012
782012
Does Campaigning on Social Media Make a Difference? Evidence from candidate use of Twitter during the 2015 and 2017 UK Elections
J Bright, S Hale, B Ganesh, A Bulovsky, H Margetts, P Howard
Communication Research 47 (7), 988–1009, 2020
77*2020
Estimating local commuting patterns from geolocated Twitter data
G McNeill, J Bright, SA Hale
EPJ Data Science 6 (1), 1-16, 2017
612017
The real component of virtual learning: motivations for face-to-face MOOC meetings in developing and industrialised countries
M Bulger, J Bright, C Cobo
Information, Communication & Society 18 (10), 1200-1216, 2015
562015
The Life and Death of Political News: Measuring the Impact of the Audience Agenda Using Online Data
J Bright, T Nicholls
Social Science Computer Review 32 (2), 170-181, 2014
562014
Mechachal: Online debates and elections in Ethiopia-from hate speech to engagement in social media
I Gagliardone, M Pohjonen, Z Beyene, A Zerai, G Aynekulu, M Bekalu, ...
Available at SSRN 2831369, 2016
502016
Wikipedia traffic data and electoral prediction: towards theoretically informed models
T Yasseri, J Bright
EPJ Data Science 5 (22), 2016
50*2016
Crowdsourcing for public policy and government
V Lehdonvirta, J Bright
Policy & Internet 7 (3), 263-267, 2015
472015
The use of social media for research and analysis: a feasibility study
J Bright, S Hale, H Margetts, T Yasseri
DWP Ad-hoc research report 13, 2014
472014
Can electoral popularity be predicted using socially generated big data?
T Yasseri, J Bright
it - Information Technology 56 (5), 246-253, 2014
462014
Coronavirus Coverage by State-Backed English-Language News Sources
J Bright, H Au, H Bailey, M Elswah, M Schliebs, N Marchal, C Schwieter, ...
Oxford Internet Institute, Data Memo, 2020.2, 2020
43*2020
Countering extremists on social media: Challenges for strategic communication and content moderation
B Ganesh, J Bright
Policy & Internet 12 (1), 6-19, 2020
432020
Smart Technology and the Emergence of Algorithmic Bureaucracy: Artificial Intelligence in UK Local Authorities
TM Vogl, C Seidelin, B Ganesh, J Bright
Public Administration Review, 2020
432020
Ministerial Importance and Survival in Government: Tough at the Top?
J Bright, H Döring, C Little
West European Politics 38 (3), 441-464, 2015
392015
Big Data and Public Policy: Can It Succeed Where E‐Participation Has Failed?
J Bright, H Margetts
Policy & Internet 8 (3), 218-224, 2016
362016
Europe’s voting space and the problem of second-order elections: A transnational proposal
J Bright, D Garzia, J Lacey, A Trechsel
European Union Politics 17 (1), 184-198, 2015
302015
Public policy in the platform society
V Nash, J Bright, H Margetts, V Lehdonvirta
Policy & Internet 9 (4), 368-373, 2017
292017
Covid-related misinformation on YouTube: the spread of misinformation videos on social media and the effectiveness of platform policies
A Knuutila, A Herasimenka, H Au, J Bright, R Nielsen, PN Howard
COMPROP Data Memo 6, 1-7, 2020
27*2020
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