Does this tweet contain self-reported COVID19 symptoms?

Symptoms can be about the person tweeting or someone they are referring to directly. They should be current and not about past events. If you are unsure about your annotation, hit the “skip” button.”

@mention Bah ils veulent vérifier avec ma toux .... mais je tousse seulement, donc ça m’étonnerait quoi ...

May 18, 2020


Yes No skip

What is this about?

In this study, we aim to create a model of how tweets about self-reported COVID19 symptoms can help predict upcoming pandemic waves, and more generally the rise and fall of the disease. To that end, we crawled public tweets from the Paris region filtered by symptoms keywords, and plotted them in time (see the graph below).

However, this filtering is very crude, e.g people don't only tweet about symptoms when they are currently falling sick, but also about that one time a year ago when they fell sick, or when talking about the general news.

To filter out such false-positives we need your help! Which of these tweets are describing an acute symptom and which ones don't? Your contribution will make a direct impact!

If you want to learn more about the people behind this project you can visit our About page.

Latest annotations

Tweet Annotation date
Les premiers symptômes [url] skip May 3, 2021, 9:01 a.m.
Ptn jcroi j’ai encore les symptômes di corona , on peut l’avoir 2 fois?? Sans effet eeh😭 yes May 2, 2021, 7 a.m.
Bjr Pr @mention Comment s'inscrire comme volontaire pour test sérologique?(cf écouté #PrSalomon auj) Malade 10/03-10/04 (8injections Rocephine +2 rechutes)Fièvre Toux sèche Diarrhée Sinusite Céphalées aiguës Fatigue.Essoufflée Charge virale enfin à 0 Résidente Paris15 yes April 22, 2021, 5:40 p.m.
@mention @mention @mention Si seulement c'était possible. Comment faire lorsque l'on prend les transports en commun, qd - porteurs des symptômes - l'on continue à se rendre physiquement au travail puisque non testé et non arrêté ? no April 22, 2021, 5:40 p.m.
@mention @mention les juifs méssia- *tousse* pardon les adventistes, vous fêtez Pâques quand ? no April 22, 2021, 5:40 p.m.

Do you want to run your own data analyses?

You can download all 8096 annotations (including a UUID referring to each annotator session) to create your own filtering or machine learning algorithm. Please visit our GitHub repository if you want to contribute!

Download Tweets Download Annotation

Visualization

Below we visualise the number of tweets containing COVID19 symptoms using 7 days averaging windows, both using our simple filtering system (orange), or the improved filtering using crowd-sourced annotation (blue). To build that curve, we only take into account tweets that have been labelled as "yes" at least 50% of the time ; we then show the daily rate of tweets labelled as "yes" multiplied by the daily number of tweets containing symptoms.

We show as a reference the number of passages to emergencies (see Analysis for more information).