
The MIGR-TWIT Corpus is a multilingual corpus of tweets about the topic of migration in Europe, developed within the framework of the OLiNDiNUM (Observatoire LINguistique du DIscours NUMérique, Linguistic Observatory of Online Debate), with the aim of documenting and analyzing online public discourse on (im)migration in contemporary European politics. Considering the global issue of migration over the last decade (2011–2022), and in order to observe discursive evolution accros the political spectrum and in two national contexts (France and the UK), the MIGR-TWIT Corpus was published: Tweets of right and far-right politics in Europe (Battaglia, Blandino, Jeon & Pietrandrea, 2022) UK-R-MIGR-RA-TWIT-2012-2022 FR-R-MIGR-TWIT-2011-2022 Tweets of French left-wing politics (Pietrandrea & Jeon, 2023) FR-L-MIGR-TWIT-2011-2022 The FR-MIGR-TWIT Corpus 1.0, compiled from the FR-R and FR-L modules, comprises 17,395 tweets posted by 39 French political figures and parties (16 right-wing and 23 left-wing) between 2011 and 2022. Tweets containing migr- derivatives were retrieved via the Twitter API v2 Academic Research, and truncated retweets (>140 characters) were restored through targeted verification (for detailed information on each module see the links above). This second version provides multilayer linguistic annotations of all occurrences of forms derived from the Latin root migr-. The FR-MIGR-TWIT Corpus 2.0 offers: multilayer linguistic annotations associated with each occurrence of a migr- derivative (MIGR-LEXICON), including semantic roles (ROLE_SEM), syntactic functions (FUNC_SYN), lemmatised forms (LEMMA), as well as features and collocational items related to modification (MODIFICATION, LEMMA_MODIF_*, LEMMA_NOUN-1) and list/parallelism constructions (LIST_PAR, LENGTH-1, #forme#_MIGR-LIST_PAR) (Non-exhaustive list); tweet URLs (tweet_url) and 44 types of data retrieved through the Full Archive Search endpoints of the Twitter API v2, such as the textual content of tweets (data__text), posting date (data__created_at), user ID (data__author_id), number of retweets (data__public_metrics__retweet_count) likes (data__public_metrics__like_count), replies (data__public_metrics__reply_count), quotes (data__public_metrics__quote_count). (Non-exhaustive list) Changelog version 2.0 (© 2025 Jeon & Pietrandrea) – Added multilayer linguistic annotations – Added TEI-XML format – Added a basic Python query script – Added README.md Scientific reference: Jeon, S. (2025). Le discours numérique sur l'immigration en France entre 2011 et 2022. Une analyse de corpus (Online Discourse on Immigration in France between 2011 and 2022. A Corpus Analysis), PhD Thesis, Université de Lille, France. Jeon, S. (2025). “Constructing ‘Migration’ through Political Discourse: A Corpus Study of French Political Tweets (2011–2022)” In: FOM@Play: Migration, Identity and Transnational Discourses Congress, 2-5 September 2025, University of Granada, Spain. Jeon, S. (2023). MigrTwit Corpora. (Im)migration Tweets of French Politics. In Proceedings of the 10th International Conference on CMC and Social Media Corpora for the Humanities, University of Mannheim; Leibniz-Institut für Deutsche Sprache (IDS).
The FR-MIGR-TWIT Corpus 2.0 is distributed under the Creative Commons CC-BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/). Its reuse is permitted for non-commercial purposes, including research and education.
The corpus is available in CSV, XML, and TEI-XML formats. The CSV and XML files provide stand-off linguistic annotations and metadata. The TEI-XML files encode the canonical textual layer.
The FR-MIGR-TWIT Corpus 1.0 (© 2025 Jeon, Battaglia & Pietrandrea) was previously released via Zenodo.
Online discourse, Corpus linguistics, political discourse, Linguistic variation, Twitter, Corpus annotation
Twitter Data
Online discourse, Corpus linguistics, political discourse, Linguistic variation, Twitter, Corpus annotation
Twitter Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
