MetAt - April 11, 2023 logbook
Share our methodological expertise and skills.
What is METAT?
METAT is a research methods support workshop: every month, a three-hour slot to help you resolve the methodological difficulties you encounter in the course of a scientific project.
Who is METAT for?
METAT is aimed at anyone needing occasional support in using a research tool or method. All profiles are welcome: students, doctoral students, researchers, research engineering professionals and others, inside and outside Sciences Po, with no restrictions on status or affiliation.
How to register?
Registration is compulsory via the form available on the METAT page
Session of 04/11/2023
Location: Sciences Po
Career path research
Support for a doctoral student in sociology who came to us to research career paths. The supervisor tested DMI's Zeeschuimer Firefox extension and then a Python scraper, but neither solution produced satisfactory results. Alternative sources such as Obsidian and Cosma were explored. The discussion then turned to the RGPD implications of this research.
Digital conflict analysis
Accompaniment of a researcher for her HDR, who came to discuss the valorization of data collected beforehand on various digital platforms (forums, Facebook pages, Twitch chats, Youtube and Instagram comments) during election campaigns in France. Coaching took the form of a discussion of the problematic linked to configurations of conflictuality, in order to ensure the comparability of the corpora. The advice given was to focus on a precise corpus, to convert html data into csv files and to define conflictuality markers.
Collection and initial analysis of tweets
Supported a second-year PhD student in the retrieval and pre-analysis of tweets about the Schiappa law between 2017 and 2018. The supervisor introduced the use of Minet to retrieve tweets, Catwalk to sort them and Table2Net and Nansi/GephiLite to perform initial network analyses, before plotting the temporal distribution of tweets in LibreOffice.
Analysis of tweets about the Nice bombing trial
Support for an M2 student wishing to carry out a network analysis using tweets collected on the Nice bombing trial. The support began by verifying that network analysis was necessary for the project, given that data description work on a spreadsheet may be sufficient for a Master's thesis. The work involved the creation of pivot tables, graphs and formulas (NB.SI). An introduction to network analysis was also provided using Table2Net and Nansi.
Analysis of Youtube comments on the war in Ukraine
Support for a PhD student in the first year of her thesis at the Université Panthéon-Assas. The supervisors began by presenting Iramuteq and Voyant Tools, and pointed out the tools' limitations. Gephi was then tested on existing data.