For step 3 of our inquiry project, Phoebe and I have created a set of new questions based on our research in order to help us answer our question on self diagnosing and help us deepen our understanding. We will be using google scholar and the UVIC library database to find articles to help us answer the questions below over the next week.
- Which platform is most likely to spread misinformation about mental health or medical conditions?
- How do algorithms influence what symptoms or disorders users believe they have?
- Can self diagnosis lead to a confirmation bias?
- In what ways can online self diagnosis be helpful or empowering?
- Can it encourage people to seek help sooner?
- What are the risks of misdiagnosis through online platforms?
- How can it lead to over diagnosis or unneccesary stress
- Are certain groups more vulnerable
- Should AI tools be responsible for preventing harmful self-diagnosis?
- How might self diagnosis change as AI becomes more advanced?
- Could they replace parts of traditional diagnosis?
For step 4 we are planning on making a mind map on Canva. For the mind map we will put our findings from step 3 into the categories below:
- pros and cons of each platform and brief overview of what they are
- what effects they have psychologically and behaviourally
- Outcomes, benefits vs risks
- Future outcomes like will AI replace traditional diagnosis…
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