Model evaluation for extreme risks T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ... arXiv preprint arXiv:2305.15324, 2023 | 82 | 2023 |
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 | 57 | 2018 |
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 | 54* | 2019 |
“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 | 51 | 2022 |
Sociotechnical safety evaluation of generative ai systems L Weidinger, M Rauh, N Marchal, A Manzini, LA Hendricks, ... arXiv preprint arXiv:2310.11986, 2023 | 50 | 2023 |
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 | 49 | 2019 |
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 | 39 | 2020 |
“Coronavirus EXPLAINED”: YouTube, COVID-19, and the Socio-Technical Mediation of Expertise N Marchal, H Au Social Media+ Society 6 (3), 2056305120948158, 2020 | 35 | 2020 |
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 | 35 | 2019 |
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 | 33* | 2020 |
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 | 32 | 2021 |
Echo Chambers Exist! (But They're Full of Opposing Views) J Bright, N Marchal, B Ganesh, S Rudinac arXiv preprint 2001.1146, 2020 | 32 | 2020 |
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 | 29 | 2018 |
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 | 23 | 2021 |
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 | 15 | 2022 |
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 | 13 | 2020 |
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 | 13 | 2019 |
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 | 9 | 2021 |
The Polarizing Potential of Intergroup Affect in Online Political Discussions: Evidence from Reddit r/politics N Marchal SSRN preprint 3671497, 2020 | 9 | 2020 |
‘Coordinated inauthentic behaviour’and other online influence operations in social media spaces T Keller, T Graham, D Angus, A Bruns, R Nijmeijer, KL Nielbo, ... AoIR Selected Papers of Internet Research, 2020 | 7 | 2020 |