Last deliverables from WP4 are out!

Deliverable 4.4

Aggregated Data Analysis Report

The report, produced by the researchers from the Ca’ Foscari University of Venice, primarily focuses on conducting a longitudinal quantitative cross-country analysis concerning migration.

The primary objective was to provide an advanced quantitative data analysis to examine the European discourse surrounding the subjects central to WP4, specifically gender and migration.

However, due to the complexities of conducting a meaningful gender analysis with the presently available social media data, the researchers chosen to center the investigation on the topic of migration. Nonetheless, the analysis was enriched by incorporating an additional dimension, namely, misinformation. In order to facilitate equitable comparisons among different countries, the researchers have relied on third-party independent data sources that employ consistent criteria for assessing the reliability of information across various countries.

The results and findings of this analysis are thus complementary to the research covered in the preceding tasks of WP4. The decision to emphasize migration in our analysis was also influenced by the commitment to major dissemination efforts and policy-oriented activities in this field.

Regarding the overarching framework of WP4, the representation of both gender and migration have been comprehensively addressed. This encompassed a simultaneous analysis of the social media discourse across ten countries, spearheaded by the lead team of WP, the Open University of Catalonia (OUC). For the secondary investigation, two distinct methodological approaches were adopted :

1) the exploration of the longitudinal thematic aspects of migration is detailed in Deliverable D4.4.

2) In conjunction with the data-driven analysis, a qualitative examination of the intersectionality between gender and migration discourses in three European languages – namely, Italian, Greek, and Dutch – was undertaken.

Download the full deliverable here.

Deliverable 4.5

Catalogue of Best Practices – Analysing the Europeanisation and Platformization of Media Representations

The deliverable is authored by Jim Ingebretsen Carlson, Valentina Latronico and Francisco Lupíañez-Villanueva from the Universitat Oberta de Catalunya and Elisabetta Risi from IULM University, and features the country reports based on national observations.

The objective of this deliverable is to provide a catalogue of best practices in media representation of gender and immigration, to be put to the attention of EU policy-makers as a knowledge base for the implementation of new strategies for fighting stereotypes and discriminations. To achieve this, one partner from each of the ten European countries represented in the EUMEPLAT consortium provided two things. First, a set of keywords believed to be the most important/useful to find posts that talk about how to fight discrimination and stereotypes related to gender and im/migration. Second, a document containing country observations of best practices.

As the work of WP4 is centred around what is talked about regarding migration and gender on social media, the best practices are to a large extent related to the data gathered and prepared in WP4. Specifically, the provided keywords are used to locate posts that are believed to be best practices in the sense that they talk about how to fight discrimination and stereotypes. Subsequently, the authors have quantitatively analysed these posts on relevant aspects such as content and the poster. This is important as it can help policy makers to find and understand best practices on social media, which in turn can be promoted and highlighted as opposite to, for example, posts containing fake news and/or hate speech. Additionally, the majority of country observations that are provided come from the social media posts analysed in WP4. This gives an additional, more qualitative, insight into best practices on social media. Finally, the countries also provide some best practices from a general observation that do not necessarily come from the data set to further widen the set of best practices provided.

Download the full deliverable here.