BIO

Bence Kollanyi has joined the ANETI lab to work with Johannes Wachs on a project dealing with the geography of open-source software development. He is also a researcher at the ELTE Centre for Social Sciences in Budapest, where he is involved in a software development project building a new mobile data collection tool that can be used to conduct mobile surveys as well as collect sensor and application data. Previously, he studied the political use of bots as a member of the Computational Propaganda research group at the Oxford Internet Institute. He holds a PhD in Sociology from Corvinus University of Budapest with a thesis on the development of automated social media profiles based on analysing interviews with bot developers and data from the GitHub platform. He also holds an MA degree in Sociology from Eötvös Loránd University and an MSc from the Georgia Institute of Technology in Public Policy.

PUBLICATIONS

Z Kmetty, B Kollányi, K Boros (2024) Boosting Classification Reliability of NLP Transformer Models in the Long Run—Challenges of Time in Opinion Prediction Regarding COVID-19 Vaccine. SN Computer Science, 6: 13.
N Marchal, LM Neudert, B Kollányi, P Howard (2021) Investigating visual content shared over Twitter during the 2019 EU parliamentary election campaign. Media and Communication, 9(1): 158-170.
S Bradshaw, P Howard, B Kollányi, LM Neudert (2020) Sourcing and automation of political news and information over social media in the United States, 2016-2018. Political Communication, 37(2): 173-193.
C Machado, B Kira, V Narayanan, B Kollányi, P Howard (2019) A Study of Misinformation in WhatsApp groups with a focus on the Brazilian Presidential Elections. In P Liu, R White (eds.) Companion Proceedings of the 2019 World Wide Web Conference: 1013-1019.
LM Neudert, P Howard, B Kollányi (2019) Sourcing and automation of political news and information during three European elections. Social Media + Society, 5(3).
B Kollányi (2016) Where do bots come from? An analysis of bot codes shared on GitHub. International Journal of Communication, 10: 4932–4951.