A comprehensive collection of media literacy educational resources developed and curated by the Bulgarian-Romanian Observatory of Digital Media (BROD) and its partners. The collection includes lesson plans, teacher guides, videos, interactive activities, podcasts and fact-checking resources addressing misinformation, cognitive biases, persuasion, algorithms, AI-generated content, media consumption and digital footprints. The resources aim to help learners navigate the digital information environment critically and make informed decisions.
Why it matters for ENACT-AI
The collection is highly relevant to AI literacy and critical thinking, particularly through its focus on misinformation, AI-generated content, deepfakes, algorithms, manipulation, information verification and critical media consumption. It supports learners in understanding how digital technologies and information environments can influence perceptions and decision-making.
Learning outcomes
Learners will be able to:
Identify and critically assess misleading or false information.
Distinguish facts from opinions and recognise persuasive techniques.
Identify cognitive biases that may influence how information is interpreted.
Analyse media messages, their purpose, context and potential influence.
Understand how recommendation algorithms and personalised content can influence media consumption.
Apply basic fact-checking and information verification techniques.
Recognise potentially AI-generated or manipulated content.
Reflect on their own media consumption and digital behaviour.
Make more informed and responsible decisions when consuming and sharing online information.
Suggested activity
Learners work in small groups to analyse a social media post, image, video or other piece of online content. They identify the source, target audience, purpose, main claims and persuasive or emotional techniques used. They then verify the main claim using reliable sources and discuss whether the content could be misleading or manipulated. The activity can conclude with a discussion about how algorithms, cognitive biases and emotional reactions may affect people's judgement.