Theo dõi
Jonathan Bright
Jonathan Bright
Head of AI for Public Services and Online Safety, Alan Turing Institute. Research Associate, OII
Email được xác minh tại turing.ac.uk
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
289*2018
The social news gap: How news reading and news sharing diverge
J Bright
Journal of Communication 66 (3), 343-365, 2016
2852016
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
1842020
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
1582020
Securitisation, terror, and control: towards a theory of the breaking point
J Bright
Review of International Studies 38 (4), 861-879, 2012
1112012
Countering extremists on social media: Challenges for strategic communication and content moderation
B Ganesh, J Bright
Policy & Internet 12 (1), 6-19, 2020
1082020
Estimating local commuting patterns from geolocated Twitter data
G McNeill, J Bright, SA Hale
EPJ Data Science 6 (1), 1-16, 2017
782017
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
762016
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
722015
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
722014
Wikipedia traffic data and electoral prediction: towards theoretically informed models
T Yasseri, J Bright
EPJ Data Science 5 (22), 2016
692016
How do individuals in a radical echo chamber react to opposing views? Evidence from a content analysis of Stormfront
J Bright, N Marchal, B Ganesh, S Rudinac
Human Communication Research 48 (1), 116-145, 2022
64*2022
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
59*2020
Crowdsourcing for public policy and government
V Lehdonvirta, J Bright
Policy & Internet 7 (3), 263-267, 2015
562015
Can electoral popularity be predicted using socially generated big data?
T Yasseri, J Bright
it - Information Technology 56 (5), 246-253, 2014
542014
Artificial intelligence in government: Concepts, standards, and a unified framework
VJ Straub, D Morgan, J Bright, H Margetts
Government Information Quarterly 40 (4), 101881, 2023
532023
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
Public policy in the platform society
V Nash, J Bright, H Margetts, V Lehdonvirta
Policy & Internet 9 (4), 368-373, 2017
532017
Ministerial Importance and Survival in Government: Tough at the Top?
J Bright, H Döring, C Little
West European Politics 38 (3), 441-464, 2015
522015
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
522014
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