关注
Nahema Marchal
Nahema Marchal
Research Scientist, DeepMind
在 google.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Model evaluation for extreme risks
T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ...
arXiv preprint arXiv:2305.15324, 2023
1072023
Sociotechnical safety evaluation of generative ai systems
L Weidinger, M Rauh, N Marchal, A Manzini, LA Hendricks, ...
arXiv preprint arXiv:2310.11986, 2023
702023
Polarisation and the Use of Technology in Political Campaigns and Communication
N Marchal, LM Neudert
Study Panel for the Future of Science and Technology, European Parliamentary …, 2019
60*2019
News and Political Information Consumption in Brazil: Mapping the First Round of the 2018 Brazilian Presidential Election on Twitter
C Machado, B Kira, G Hirsch, N Marchal, B Kollanyi, PN Howard, ...
Oxford Internet Institute, Data Memo 2018.4, 2018
572018
“Be nice or leave me alone”: An intergroup perspective on affective polarization in online political discussions
N Marchal
Communication Research 49 (3), 376-398, 2022
532022
Junk News During the EU Parliamentary Elections: Lessons from a Seven-Language Study of Twitter and Facebook
N Marchal, B Kollanyi, LM Neudert, PN Howard
Oxford Internet Institute, Data Memo 2019.3, 2019
512019
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
392020
Content Moderation as a Political Issue: The Twitter Discourse around Trump’s Ban
M Alizadeh, F Gilardi, E Hoes, KJ Klüser, M Kubli, N Marchal
University of Zurich, 2021
382021
News and Information over Facebook and WhatsApp during the Indian Election Campaign
V Narayanan, B Kollanyi, R Hajela, A Barthwal, N Marchal, PN Howard
Oxford Internet Institute, Data Memo 2019.2, 2019
362019
Coronavirus News and Information on YouTube: A Content Analysis of Popular Search Terms
N Marchal, H Au, PN Howard
Oxford Internet Institute, Data Memo 2020.3, 2020
35*2020
“Coronavirus EXPLAINED”: YouTube, COVID-19, and the Socio-Technical Mediation of Expertise
N Marchal, H Au
Social Media+ Society 6 (3), 2056305120948158, 2020
342020
Echo Chambers Exist! (But They're Full of Opposing Views)
J Bright, N Marchal, B Ganesh, S Rudinac
arXiv preprint 2001.1146, 2020
332020
Polarization, Partisanship and Junk News Consumption on Social Media during the 2018 US Midterm Elections
N Marchal, LM Neudert, B Kollanyi, PN Howard
Oxford Internet Institute, Data Memo 2018.5, 2018
302018
Investigating Visual Content Shared over Twitter during the 2019 EU Parliamentary Election Campaign
N Marchal, LM Neudert, B Kollanyi, PN Howard
Media and Communication 9 (1), 158-170, 2021
272021
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
192022
The Ethics of Advanced AI Assistants
I Gabriel, A Manzini, G Keeling, LA Hendricks, V Rieser, H Iqbal, ...
arXiv preprint arXiv:2404.16244, 2024
172024
Junk News & Information Sharing during the 2019 UK General Election
N Marchal, B Kollanyi, LM Neudert, H Au, PN Howard
Oxford Internet Institute, Data Memo 2019.5, 2019
132019
Coronavirus Coverage by State-Backed English-Language News Sources: Understanding Chinese, Iranian, Russian and Turkish Government Media
J Bright, H Au, H Bailey, M Elswah, M Schliebs, N Marchal, C Schwieter, ...
University Of Oxford, 1-7, 2020
122020
STELA: a community-centred approach to norm elicitation for AI alignment
S Bergman, N Marchal, J Mellor, S Mohamed, I Gabriel, W Isaac
Scientific Reports 14 (1), 6616, 2024
92024
The Paradox of Poor Representation: How Voter–Party Incongruence Curbs Affective Polarisation
N Marchal, DS Watson
The British Journal of Politics and International Relations, 13691481211048502, 2021
92021
系统目前无法执行此操作,请稍后再试。
文章 1–20