This position is part of the WebClim project on the “Influence of web platform practices and algorithmic decisions on public access to climate information”. The primary goal will be to analyze WebClim data to determine whether platform policies have a measurable impact on the volume of misinformation circulating and on users’ understanding of climate change.
The successful candidate will develop qualitative and quantitative methods to:
- Document pages or content recommended by platforms’ algorithms in response to popular users queries on climate change
- Analyze the messages shared in these contents and the potential presence of misinformation
- Test the influence these information have on users using online questionnaires.
Applicants should have a PhD in digital humanities, data science or equivalent, as well as technical skills in data collection and statistical data processing, analysis, and visualization (preferably using Python).
This is a 2-year position, starting in the fall 2020. Proposed gross salary is 30k€/year and the position includes full health care coverage, 45 days of paid holidays per year along with 50% funding of public transportation and lunch tickets. Remote work is possible one day per week maximum normally, which might change depending on the COVID-19 context.
Those interested should send a CV and cover letter detailing their motivation and relevant skills, plus a link to recent scientific publications, by September 30th, 2020 to firstname.lastname@example.org.