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Reconstructing Crisis Narratives for Trustworthy Communication and Cooperative Agency

  • Sawhney, Nitin (Principal investigator)
  • Leinonen, Teemu (Principal investigator)
  • Paakki, Henna (Project Member)
  • Nelimarkka, Matti (Project Member)
  • Villaman, Natalia (Project Member)
  • Hyökki, Suvi (Project Member)
  • Viitanen, Johanna (Project Member)
  • Aledavood, Talayeh (Project Member)
  • Kajava, Kaisla (Project Member)
  • Tikka, Minttu (Project Member)
  • Ehrnrooth, Edvin (Project Member)
  • Sounny Slitine, Fatima (Project Member)
  • Ghorbanpour, Faeze (Project Member)
  • Tebbai, Abdelghafour (Project Member)
  • Ahsanullah, Rahim (Project Member)
  • Aho, Iiris (Project Member)
  • Truong, Lac (Project Member)
  • Tikka, Minttu (Project Member)
  • Nariman Zadeh, Hasti (Project Member)
  • Datta, Preetha (Project Member)
  • Phansalkar, Ishan (Project Member)
  • Perttilä, Emma (Project Member)
  • Kajava, Kaisla (Project Member)
  • Varanasi, Uttishta (Project Member)
  • Lares, Sanni (Project Member)
  • Paakki, Henna (Project Member)
  • Alanya, Leo (Project Member)
  • Aalto University
  • University of Helsinki

Project Details

Description

The emergence of a crisis is often accompanied by unexpected events, uncertain signals, malicious misinformation, and conflicting reports that must be collectively interpreted and analyzed to understand the complex nature and scope of the situation, and its potential implications for society. This research jointly conducted between Aalto University and THL proposes to analyze and reconstruct crisis narratives through a mixed methods approach using qualitative research and social media analytics. We will design a platform representing and visualizing such information to engage decision-makers, front-line responders, stakeholders, and the general public in making sense of crises and perceptions of risk and trust. Temporal interactive visualization of crisis narrative threads will be used to support participatory narrative building and multiple hypotheses, facilitate discovery of unusual patterns, and collaborative sense-making for devising cooperative crisis preparedness and response.Information on Minttu's and Kaisla's research profile you find on the Helsinki university research portal:

https://researchportal.helsinki.fi/en/persons/minttu-tikka
https://researchportal.helsinki.fi/en/persons/kaisla-kajava
StatusFinished
Effective start/end date21/08/202030/11/2023

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Computational Analysis of Communicative Acts for Understanding Crisis News Comment Discourses

    Paakki, H. & Ghorbanpour, F., 25 Jan 2025, Social Networks Analysis and Mining: 16th International Conference, ASONAM 2024, Rende, Italy, September 2–5, 2024, Proceedings, Part II. Aiello, L. M., Chakraborty, T. & Gaito, S. (eds.). Cham: Springer, p. 226-242 16 p. (Lecture Notes in Computer Science; vol. 15212).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    8 Downloads (Pure)
  • Implicit and Indirect: Detecting Face-threatening and Paired Actions in Asynchronous Online Conversations

    Paakki, H., Toivanen, P. & Kajava, K., 2 Dec 2025, In: Northern European Journal of Language Technology. 11, 1, p. 58-83

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    4 Downloads (Pure)
  • Models for action classification in YouTube news comments

    Paakki, H. & Ghorbanpour, F., 25 Jan 2025

    Research output: Artistic and non-textual formSoftwareScientificpeer-review