BUSCADOR RECOLECTA

The project’s main aim is to explore the multimodal construction of a political event across European newspapers.

The event selected for the analysis is Brazil congress attack, happened on 8th Jan 2023, when a mob of Former President Jair Bolsonaro’ supporters assaulted federal government buildings in the capital, Brasilia, destroying property and vandalizing art and offices of legislators. A multilingual sample of 73 newsbites published on January 8th, 9th and 10th 2023 in digital European newspapers, namely El País, El Mundo, Repubblica, Corriere, The Times, The Guardian, Le Monde and Le Figaro, was collected and analysed.

The project’s main aim is to analyze WAVE and TIDE metaphors in four countries (USA, Spain, France and Italy) undergoing elections in 2022 and 2023. To this aim, a of all ideological stances and analyzed for their frequencies, collocations, mappings, elaborations and evaluative meanings.

The dataset includes 200 news items, collected from digital media 2022-2023.

RECLAIM is a Horizon Europe Project analysing the various expressions of information disorder on today's democracy. The aim of the project is to understand the impact of disinformation in Europe and use the results to advise on policy making, education and actions to react to the negative effect of disinformation on democratic discourse and the basic structure of modern liberal democracy. The project is managed by the Institute of International Affairs and led by Maximilian Conrad, Professor at the University of Iceland's Faculty of Political Science.

This dataset has been produced by WP7 (Universidad Autónoma de Madrid) on regulatory aspects. The objective of WP 7 is to analyse how normative conceptions of public debate in democracy relate to different policy alternatives and political strategies to combat disinformation by using political theory to conceptualize debates on regulation and public policy about post-truth (in cooperation with WP2); analyse public policy struggles to define the best way to combat disinformation at the European level and analyse the impact upon communication professionals and journalistic practices of the emerging regulations adopted by EU (in cooperation with WP4).

The dataset consists of 4 subsets:

• 4.1. A csv record of actors classified by the following attributes: type of actor; degree of involvement in policy-making (insider or outsider) level of organization; main policy domain of activity.
• 4.2. One codebook in CSV format that distinguishes the frames – what the respondants speak about, in order to identify themes, diagnoses and frames – and claims – more specific and targeted demands.
• 4.3. Two networking datasets, one for Discourse Network Analysis actors that support or oppose statements into patterns of relations (Leifeld 2017) and the second for Social Network Analysis inlcuding information on their patterns of relations during the consultations and their joint participation in meetings with Commission officials.
• 4.4. fsQCA dataset calibrating the relative number of regulatory demands and presence of insider vs outsider groups.