This workshop investigated methodologies selected from the book ‘Foolproof’ by Prof. Sander Van Der Linden and the participants’ real-life experiences in countering possible mis/disinformation. Focused discussions were made on how to use Foolproof’s 11 fake news antigens for project materials:

• Make the truth fluent and familiar: Simplified content; use of repetition to boost memory; use of influencers to spread accurate information; awareness engagement.
• Incentivize accuracy: Use of certification; use of negative motivation creating awareness for the consequences of spreading false information.
• Identify and resist the seven traits of conspiratorial thinking: Demonstrate the ability to identify and resist through cases that are from the past; Use short to medium length videos to help push forward the message; use the case of Flat Earthers.
• Minimise the continued influence of misinformation: Use examples based on current challenges faced by the target audience; challenge preconceived notions; Help judge the validity of information by judging it in comparison to alternative information.
• Break the virality of misinformation on social media: Increase awareness on the ease with which misinformation travels on social media; Parental Control; neutrality throughout the material creation process and during the educating of the material; systematic testing for analysing the accuracy of information.
• Avoid echo chambers and filters: Get to know your bubble; feed the algorithm knowingly by setting your media consumption to receive recommendations from reputable sources; follow opposite views and consume media from all perspectives to receive a more rounded appreciation for the arguments made.
• Be aware of micro-targeting of susceptible individuals open to persuasion: Understanding to what extent micro-targeting is possible and how to prebunk the algorithms for and knowing how much google knows about individualities; the emotional experience; Describe cases via personal peer experience; organise meetings (or get-togethers) especially with youth to inform and educate them about reality; inform your family especially children.
• Inoculate against misinformation by refuting weakened doses of fake news: Practice makes perfect; test and trial apps help a lot; How do you control that people reach the right info, and not contribute spreading disinfo; Taking together with micro targeting.
• Identify and prebunk the manipulation by discrediting, emotion, polarisation, impersonation, conspiracy, and trolling. 
• Help spread inoculation against misinformation. Exploring in which ways would be the best to teach the target groups considering the goal of the project.
• Inoculate friends and family.

 An additional workshop was organised with AI developers and experts focusing on the potential use of Artificial Intelligence (AI) for spreading mis/disinformation in the near future (2 years) and for inoculating citizens via the project materials. The first part of the workshop focused on investigating possible techniques to spread false information using AI. The following part searched for preventing / countering techniques against the two spreading techniques chosen from the first round. The main aim was to find good cases to incorporate in the project materials as future potential cases. The brainstorming discussions focused on the following two potential cases:

• Autonomous Disinformation Generator using generative AI techniques: It can create large amounts of targeted disinformation in potentially high-risk areas in the near future. This would require written AI to be able to detect and combat this potential capacity by being able to analyse trends and which target groups / locations have been manipulated and in which ways. We can also teach AI to be able to score truthfulness on historical references.
• False information spreading through AI-generated  deep fake influencers (fakefluencers) and other spreaders: For prevention, AI can do reverse image search for seeking the original sources of images in order to reveal inconsistencies so that it can detect fake images. AI can be taught with detection tools, and to display all perspectives about a storyline.