Data

  • Attitudinally-positioned European sample dataset

    Twitter users of 9 countries positioned along a Left-Right polarization dimension and an anti-elite/institutions dimension

    See also Deliveable D2.1.

    Data set
  • Reddit collective field experiment 2024

    5 waves survey (pre, post survey + 3 check-in surveys, 4th check-in survey integrated in post survey wave) + 4 week discussion data in 6 experimental subreddits, 520 participants (survey waves with varying completeness), ~ 5600 comments internally, ~12000 comments externally (additionally, pilot data for 1 week, two surveys, 1 subreddit and 50 participants)

     Corresponding publication: Lisa Oswald et al. Disentangling participation in online political discussions with a collective field experiment, Science Advances (2026).

    Data set
  • Anonymized retweet networks from German Twitter Trends 2021 - 2023

    They were analyzed in the following paper:

    Pournaki, A., Gaisbauer, F., Olbrich, E. (2025). How Influencers and Multipliers Drive Polarization and Issue Alignment on Twitter/X. To appear in Proceedings of the International AAAI Conference on Web and Social Media (ICWSM). Vol. 19. 2025.

    See also the corresponding github repository for more information. 

    Data set
  • Telegram channel embeddings

    This repository contains the dataset of Telegram channel embeddings accompanying the paper: Peeters, S. and Willaert, T. (2026), "Dark metrics" and the mainstreaming of political extremism on Dutch-speaking Telegram: A comparative reading of platform affordances". Platforms and Society.

    Data set
  • Anonymized message classification data and actantial analyses of public Telegram channels

    Anonymized message classification data and actantial analyses of public Telegram channels pertaining to the paper:
     

    Willaert, T. (2023). A computational analysis of Telegram’s narrative affordances. Plos one, 18(11), e0293508.

    Data set
  • An Inductive Analysis of the Kremlin's Weaponization of Digital Diplomacy on Telegram

    This dataset accompanies the paper: Willaert, T., & Tuters, M. (2025). From denazification to the Golden Billion: an inductive analysis of the Kremlin’s weaponisation of digital diplomacy on Telegram. Humanities and Social Sciences Communications, 12(1), 1-16.

    Data set