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Information Diffusion In Twitter During The Covid-19 Pandemic: The Case Of The Greater Region (PandemicGR)

  • Funded by Luxembourg National Research Fund
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Known Financial Commitments (USD)

    $23,544

  • Funder

    Luxembourg National Research Fund

  • Principal Investigator

    Jun Pang

  • Research Location

    Luxembourg

  • Lead Research Institution

    University of Luxembourg

  • Research Priority Alignment

    N/A

  • Research Category

    Policies for public health, disease control & community resilience

  • Research Subcategory

    Communication

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The PandemicGR project will address of the challenge of understanding and analysing the information diffusion mechanism in online social media during the COVID-19 pandemic, based on a newly collected and properly anonymised Twitter dataset concentrating on Luxembourg and the greater region. In this project, we aim to (1) achieve in-depth analysis of user engagement and communication patterns during this public health crisis, (2) build a machine learning model to simulate and predict COVID-19 information cascades, and (3) develop an effective classifier to detect misinformation in order to improve information trustworthiness in online social media. The results from the PandemicGR project will have both immediate and medium-term impact for crisis management for bother Luxembourg and the greater region.