The mask as a polarizing object in the COVID-19 crisis: An NLP exploration of Twitter conversations (February–May 2020) (notice n° 185883)
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| fixed length control field | 02390cam a2200361 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250112043136.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Balech, Sophie |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | The mask as a polarizing object in the COVID-19 crisis: An NLP exploration of Twitter conversations (February–May 2020) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2022.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 71 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The COVID-19 pandemic that has hit the planet offers a spectacular case study in disaster management. In this literature, the participatory paradigm is fundamental: the mitigation of the impact of the disaster, the quality of the preparation, and the resilience of the society all facilitate reconstruction, but depend on the participation of populations. It remains essential to observe and measure the mental health of populations (anxiety, confidence, hopes, etc.), identifying points of controversy and the content of the discourse, in order to support measures to encourage this participation. Social media, and in particular Twitter, offer valuable resources for exploring this discourse. The main result is based on the identification of the mask’s centrality and aims to establish the importance of this phenomenon. We show this quantitatively, and we explore the concept using NLP methods. The background is a major change in how the crisis is understood. While at the beginning of the cycle it is perceived as something exotic, it later becomes endemic to the social body. We draw on a database of 2.1 million tweets extracted from a corpus of 110 million, put together by an international data science team and dealing with variants of #COVID-19, #coronavirus, etc: the “COVID-19 Twitter data set.” |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | disaster management |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | STM |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | social media |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | COVID-19 |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | crisis management |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | NLP |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | semantic networks |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | STM |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Disaster management |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Crisis management |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Social media |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Covid-19 |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | NLP |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | semantic networks |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Calciu, Michel |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Monnot, Julien |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Benavent, Christophe |
| Relator term | author |
| 786 0# - DATA SOURCE ENTRY | |
| Note | Marché et organisations | o 43 | 1 | 2022-02-11 | p. 151-187 | 1953-6119 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://shs.cairn.info/journal-marche-et-organisations-2022-1-page-151?lang=en">https://shs.cairn.info/journal-marche-et-organisations-2022-1-page-151?lang=en</a> |
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