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The covid-19 crisis: An nlp exploration of the french twitter feed (february-may 2020)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441772" target="_blank" >RIV/00216208:11320/21:10441772 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-77685-5_24" target="_blank" >https://doi.org/10.1007/978-3-030-77685-5_24</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-77685-5_24" target="_blank" >10.1007/978-3-030-77685-5_24</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The covid-19 crisis: An nlp exploration of the french twitter feed (february-may 2020)

  • Original language description

    The Covid-19 pandemic offers a spectacular case of disaster management. In this literature, the paradigm of participation is fundamental: the mitigation of the impact of the disaster, the quality of the preparation and the resilience of the society, which facilitate the reconstruction, depend on the participation of the populations. Being able to observe and measure the state of mental health of the population (anx-iety, confidence, expectations, ...) and to identify the points of controversy and the content of the discourse, are necessary to support measures designed to encourage this participation. Social media, and in particular Twitter, offer valuable resources for researching this discourse. The objective of this empirical study is to reconstruct a micro history of users&apos; reactions to the pandemic as they share them on social networks. The general method used comes from new processing techniques derived from Natural Language Processing (NLP). Three analysis methods are used to process the corpus: analysis of the temporal evolution of term occurrences; creation of dynamic semantic maps to identify co-occurrences; analysis of topics using the SVM method. The main empirical result is that the mask emerges as a central figure of discourse, at least in the discourse produced by certain social media. The retrospective analysis of the phenomenon allows us to explain what made the mask a focal point not only in conversation, but also in behaviors. Its value resides less in its functional qualities than in its ability to fix attention and organize living conditions under the threat of pandemic.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • ISBN

    978-3-030-77684-8

  • ISSN

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    308-321

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    online

  • Event date

    Jul 24, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article