Assessment Survey
The purpose of the survey is to identify and better understand the challenges that journalists and fact-checkers face essentially in verifying deepfakes and other AI-generated misinformation. At DataLEADS, as we aim to build  training programme to enhance the  online verification competencies of journalists and fact-checkers, your response to the questionnaire below will help us design and develop the training curriculum and resources with the most relevant and impactful insights.

*DataLEADS maintains the confidentiality of your data and will not share it with any third party.
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Name *
Name of the organization
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How many years of experience do you have in journalism? *
How many years of experience do you have in online fact-checking?
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How familiar are you with the concepts of generative AI, synthetic media, and deepfakes? *
Have you encountered or worked with generative AI, synthetic media, or deepfakes in your personal or professional activities?
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On a scale of 1 to 5, how interested are you in gaining insights into the capabilities and evolution of generative AI, synthetic media, including deepfakes?
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Not interested
Highly interested
To what extent are you familiar with current detection approaches for synthetic media, including deepfakes, manual standard verification, and glitch analysis?
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Have you ever worked or collaborated with AI media forensic experts or engaged in reporting practices related to synthetic media, including deepfakes?
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What specific information or insights would you like to gain from the training workshop on the overview of generative AI, synthetic media, and deepfakes?

Detailed contents: Overview of generative AI and synthetic media, including concepts and evolution of capabilities, with real examples and demos to show different generation techniques.
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What expectations do you have regarding the training workshop on current detection approaches and solutions for synthetic media, including deepfakes, glitch analysis, and tools?

Detailed contents: Overview of current detection approaches and solutions, including manual standard verification, glitch analysis, and tools.

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In the context of elections, what do you perceive as the main challenges in detecting and addressing deepfakes or generative AI misuse?
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Required
From your perspective, what are the challenges associated with reporting instances of deepfakes or generative AI manipulation in the context of elections?
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 What preventive measures or strategies do you think are crucial to minimize the impact of deepfakes or generative AI on election-related content?
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Which learning format do you find most effective?
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Required
What types of support or resources do you believe would significantly enhance your fact-checking capabilities/work in the context of deepfakes and AI-generated misinformation?
(Use columns to indicate the degree to which you think these are necessary, 5 being the most necessary and 1 being the least necessary)? 
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1
2
3
4
5
Hands-on training
Subscription to fact-checking tools
Access to a centralized database of verified deepfake content
Weekly bulletins/alerts about upcoming election-related events
Access to resources and support for fact-checking deepfakes and AI-enabled misinformation
Collaboration with independent fact-checking Organizations, technology experts or AI researchers
Case studies and real-world examples of deepfake detection
Online courses or tutorials on deepfake detection and verification
Regular updates on emerging deepfake detection technologies
Do you have any additional concerns or challenges related to the use of generative AI, synthetic media, and deepfakes, especially in the context of elections, that you would like addressed during the workshops?
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Any additional comments or information you would like to share to help tailor the workshops to your needs, particularly in addressing challenges related to deepfakes in election contexts?

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