Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Jonathan Bright"'
Autor:
John Francis, Jonathan Bright, Saba Esnaashari, Youmna Hashem, Deborah Morgan, Vincent J. Straub
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Aerial image data are becoming more widely available, and analysis techniques based on supervised learning are advancing their use in a wide variety of remote sensing contexts. However, supervised learning requires training datasets which ar
Externí odkaz:
https://doaj.org/article/733b589439264215ad01a9221daeac8b
Autor:
Alexandra Pavliuc, Anna George, Francesca Spezzano, Anastasia Giachanou, Viktoria Spaiser, Jonathan Bright
Publikováno v:
Social Media + Society, Vol 9 (2023)
Externí odkaz:
https://doaj.org/article/8624cefb0f2e4a6998b6cd2b5e92321f
Publikováno v:
Journal of Open Humanities Data, Vol 7 (2021)
This dataset contains metadata about all COVID-related YouTube videos which circulated on public social media, but which YouTube eventually removed because they contained false information. It describes 8,122 videos that were shared between November
Externí odkaz:
https://doaj.org/article/a6705512c12e49a1b93fd78fd6f3d339
Publikováno v:
EPJ Data Science, Vol 6, Iss 1, Pp 1-16 (2017)
Abstract The emergence of large stores of transactional data generated by increasing use of digital devices presents a huge opportunity for policymakers to improve their knowledge of the local environment and thus make more informed and better decisi
Externí odkaz:
https://doaj.org/article/94a9b2b9eb054f78a0066c937842fdd5
Publikováno v:
Royal Society Open Science, Vol 6, Iss 11 (2019)
Accurate modelling of local population movement patterns is a core, contemporary concern for urban policymakers, affecting both the short-term deployment of public transport resources and the longer-term planning of transport infrastructure. Yet, whi
Externí odkaz:
https://doaj.org/article/8aaf548419734601934b0f945880c345
To date, there is little research to measure the scale of misinformation and understand how it spreads on largely unmoderated platforms. Our analysis of 200,000 Telegram posts demonstrates that links to known sources of misleading information are sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e07bcfe2c3eef30dc53c7e94e029bfe
http://hdl.handle.net/10138/359532
http://hdl.handle.net/10138/359532
Autor:
John Francis, Jonathan Bright, Saba Esnaashari, Youmna Hashem, Deborah Morgan, Vincent J. Straub
Satellite and aerial image data are becoming more widely available, and analysis techniques based on supervised learning are advancing their use in a wide variety of remote sensing contexts. However, supervised learning requires training datasets whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff07763f0ba0149ac24f44e97e87b725
https://doi.org/10.21203/rs.3.rs-2678278/v1
https://doi.org/10.21203/rs.3.rs-2678278/v1
Autor:
Lisa Oswald, Jonathan Bright
Publikováno v:
Environmental Communication. 16:805-821
Publikováno v:
Human Communication Research, 48(1), 116-145
Human Communication Research, 48(1), 116-146. Wiley-Blackwell
Human Communication Research, 48(1), 116-146. Wiley-Blackwell
Calls to “break up” radical echo chambers by injecting them with alternative viewpoints are common. Yet, thus far there is little evidence about the impact of such counter-messaging. To what extent and how do individuals who inhabit a radical ech
Autor:
Aliaksandr Herasimenka, Yung Au, Anna George, Kate Joynes-Burgess, Aleksi Knuutila, Jonathan Bright, Philip N Howard
Contemporary communication requires both a supply of content and a digital information infrastructure. Modern campaigns of misinformation are especially dependent on that back-end infrastructure for tracking and targeting a sympathetic audience and g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8bba5a1322d35e966782f814ff72e5d
https://ora.ox.ac.uk/objects/uuid:b0a02ac1-c36f-43b5-85b3-773db74910af
https://ora.ox.ac.uk/objects/uuid:b0a02ac1-c36f-43b5-85b3-773db74910af