Seguir
Jonathan Bright
Jonathan Bright
Head of AI for Public Services and Online Safety, Alan Turing Institute. Research Associate, OII
Dirección de correo verificada de turing.ac.uk
Título
Citado por
Citado por
Año
The social news gap: How news reading and news sharing diverge
J Bright
Journal of Communication 66 (3), 343-365, 2016
2502016
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
235*2018
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
1252020
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 80, 946-961, 2020
912020
Securitisation, terror, and control: towards a theory of the breaking point
J Bright
Review of International Studies 38 (4), 861-879, 2012
912012
Countering extremists on social media: challenges for strategic communication and content moderation
B Ganesh, J Bright
Policy & Internet 12 (1), 6-19, 2020
762020
Estimating local commuting patterns from geolocated Twitter data
G McNeill, J Bright, SA Hale
EPJ Data Science 6 (1), 1-16, 2017
712017
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
662015
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
632016
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
632014
Wikipedia traffic data and electoral prediction: towards theoretically informed models
T Yasseri, J Bright
EPJ Data Science 5 (22), 2016
602016
Crowdsourcing for public policy and government
V Lehdonvirta, J Bright
Policy & Internet 7 (3), 263-267, 2015
542015
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
53*2020
Can electoral popularity be predicted using socially generated big data?
T Yasseri, J Bright
it - Information Technology 56 (5), 246-253, 2014
512014
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
482014
Big Data and Public Policy: Can It Succeed Where E‐Participation Has Failed?
J Bright, H Margetts
Policy & Internet 8 (3), 218-224, 2016
472016
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
46*2020
Ministerial Importance and Survival in Government: Tough at the Top?
J Bright, H Döring, C Little
West European Politics 38 (3), 441-464, 2015
442015
Public policy in the platform society
V Nash, J Bright, H Margetts, V Lehdonvirta
Policy & Internet 9 (4), 368-373, 2017
412017
A divided discipline? Mapping peace and conflict studies
J Bright, J Gledhill
International Studies Perspectives 19 (2), 128-147, 2018
382018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20