Published June 27, 2025
| Version v1
Report
Open
IBERIFIER - Assessment of VLOPs (Very Large Online Platforms) and VLOSEs (Very Large Online Search Engines). Signatory Reports for the Strengthened Code of Practice on Disinformation. Report No. 2
Creators
-
Moreno Castro, Carolina
(Researcher)1
-
Paisana, Miguel
(Researcher)2
-
Falcó-Moreno, Nuria
(Researcher)3
-
Vázquez Herrero, Jorge
(Researcher)4
-
Azurmendi, Ana
(Researcher)5
-
Calvo, Dafne
(Researcher)3
-
Pérez-Seijo, Sara
(Researcher)4
-
Moreno, José
(Researcher)6
-
Cano-Orón, Lorena
(Researcher)3
-
Negreira Rey, María Cruz
(Researcher)4
-
Rodriguez-Vazquez, Ana-Isabel
(Researcher)7
-
Sixto-García, José
(Researcher)4
-
CABRERA GARCÍA-OCHOA, YOLANDA
(Researcher)3
-
Vizoso, Ángel
(Researcher)4
-
Sánchez-Hualde, Anais
(Researcher)5
-
Salaverría, Ramón
(Researcher)5
- 1. University of Valencia
- 2. Iscte - Instituto Universitário de Lisboa, CIES-Iscte
-
3.
Universitat de València
-
4.
Universidade de Santiago de Compostela
-
5.
Universidad de Navarra
- 6. ISCTE-IUL
- 7. Universidade de Santiago de Compostela (USC)
Contributors
Project leader:
Work package leaders:
- 1. University of Valencia
- 2. Iscte - Instituto Universitário de Lisboa, CIES-Iscte
-
3.
Universidad de Navarra
Description
Deliverable 5.2 is the second report edited by the IBERIFIER WP5 team concerning the implementation of the EU Code of Practice on Disinformation. It provides an assessment of seven signatory reports submitted in March 2025 to the European Code of Practice on Disinformation, a collaborative initiative involving major online platforms, advertising industry stakeholders, fact-checking networks, research institutions, and civil society organisations. The signatories evaluated in this deliverable are Google Search, Bing, Facebook, Instagram, TikTok, LinkedIn, and YouTube.
Files
D5.2 - IBERIFIER Plus - Assessment of VLOPs and VLOSEs Signatory Reports for the Strengthened Code of Practice on Disinformation. Report No. 2.docx.pdf
Files
(1.2 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:19be99eafba885b04b14043bafda0651
|
1.2 MB | Preview Download |