e.g. mhealth
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Skip search results from other journals and go to results- 1 JMIR Aging
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We aimed to codevelop a supervised ML model that can detect dementia misconceptions on Twitter with dementia care partners central to the analytical pipeline and to co-design and then deploy an awareness campaign on Twitter to address these misconceptions. Furthermore, we aimed to use the ML model to evaluate the effectiveness of our campaign in reducing misconceptions and track global events that affected misconceptions during the campaign period.
JMIR Infodemiology 2022;2(2):e36871
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Investigation of Carers’ Perspectives of Dementia Misconceptions on Twitter: Focus Group Study
It also has a high prevalence of stigma towards dementia [10] and therefore lends itself to investigations into misconceptions.
Given the multiple negative consequences, it is surprising that little is known about the prevalence of public misconceptions on social media. Improving the overall knowledge base for dementia, especially a detailed understanding of the types of misconceptions, can provide a baseline from which to challenge misconceptions and stigma [11].
JMIR Aging 2022;5(1):e30388
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Conversations and Misconceptions About Chemotherapy in Arabic Tweets: Content Analysis
Tweets under the theme “misconceptions” were further analyzed to capture the most common misconceptions, as described in detail in Table 4. Falsified and unrealistic side effects of chemotherapy were the most common misconceptions (1271/2084, 60.9%) in the studied data set. The other misconceptions were that chemotherapy causes cancer to spread (282/2084, 13.5%) and that chemotherapy has no therapeutic benefit (214/2084, 10.3%).
J Med Internet Res 2020;22(7):e13979
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