Blog18: A health and political crisis

8 mars 2022


Research Notebook

'Mixology' is an open research project, which aims to extract opinions in times of crisis, here from a corpus collected via the Twitter API, from December 12 to 31, 2021.

The topic modeling of the « sanitary measures » sub-corpus in English is strongly connected to the keywords used for collecting tweets. Moreover, it differs little from the observed results concerning the « vaccination » sub-corpus, regardless of the algorithm used (LDA or CTM, see Blog 9). Two main axes are here underpinned: (1) restrictive political measures (lockdown, sanitary passport, curfew and mask-wearing), (2) vaccination (booster, children vaccination, side effects and unvaccinated people).

Topic modeling LDA

Topic modeling CTM


Considering the percentage obtained for each of these axes, in terms of representation in the corpus (samples of 50 most frequently used common words), the axis of restrictive political measures reaches a score of 43.9%. In the “vaccination” sub-corpus, this trend is less pronounced since the percentage of representativeness of this theme drops to 8.24%. However, these two notions should not be distinguished so easily. Also, vaccination campaigns have a strong political connotation: vaccination was then key to obtaining a health/vaccination passport, and in Austria, it was announced as becoming compulsory for all citizens.

Political and health considerations are therefore intrinsically linked. They are also strongly connected to the news (and therefore to news media, which relays the measures adopted by governments). It now requires a bit of contextualization regarding the sanitary measures adopted in each of the nine countries of the corpus, when the contagiousness of the Omicron variant raised fears. In addition, in each of these countries, demonstrations were organized in December 2021 to protest against governments and their political management of the crisis. These movements were not always well perceived, with many Twitter users associating these protests with antivaccine people or other extremist movements. One possible explanation is a global acceptance of reducing human rights and freedom when the purpose is to act in the name of public health.



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Read more

Blog 21: Politicians, experts, and journalists

Blog 20: For vaccination, against restrictions

Blog 19: Comparative Sentiment Analysis

Blog18: A health and political crisis

Blog 17: Anatomy of the “political/sanitary measures” sub-corpus (en)

Blog 16: Sentiment analysis of the ‘vaccination’ sub-corpus (en, part.2)

Blog 15: Comparative sentiment analysis of the ‘vaccination’ sub-corpus (en, part.1)

Blog 14: An adapted dictionary for the Covid crisis and sentiment analysis

Blog 13: Building a stop words list

Blog 12: Main Dictionaries for Sentiment Analysis

Blog 11: Statistical description of the corpus #RStats

Blog 10: Sentiment analysis or the assessment of subjectivity

Blog 9: Topic modeling of the ‘vaccination’ corpus (English)

Blog 8: Linguistic and quantitative processing of the ‘vaccination’ corpus (English, part.2)

Blog 7: Linguistic and quantitative processing of the ‘vaccination’ corpus (English, part.1)

Blog 6: Collecting the corpus and preparing the lexical analysis

Blog 5: The textclean package

Blog 4: Refining the queries

Blog 3: The rtweet package

Blog 2: Collecting the corpus

Blog 1: An open research project

The challenges of research on media use in times of crisis