e.g. mhealth
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Skip search results from other journals and go to results- 3 Journal of Medical Internet Research
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Concurrent Mentions of Vaping and Alcohol on Twitter: Latent Dirichlet Analysis
The text-based, timely nature of tweets offers an opportunity to explore social media discourse, and analyses of posts using methods such as content analysis may provide valuable insight into individual’s perceptions and experiences.
Content analyses of tweets have been used to understand a variety of substance use–related topics, including e-cigarette perceptions [34], e-cigarette policy reactions [35], addiction concerns during COVID-19 [36], and e-cigarette cessation campaign responses [37].
J Med Internet Res 2024;26:e51870
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Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study
Lastly, SNA provided insight into network typologies, and inferences were drawn regarding the transmission and adoption of long COVID-19 discourse on Twitter. For both tweets about long COVID-19 and tweets by COVID-19 long haulers, networks appear highly decentralized, fragmented, and loosely connected.
JMIR Infodemiology 2022;2(1):e31259
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The patterns and frequencies with which humans scan their surroundings can provide insight into how individuals process the world around them. In the context of social interaction, prior research has shown that individuals with ASD vary in the way that they scan a target's facial landmarks during a social scenario, which may contribute to difficulty with interpreting emotional or nonverbal cues.
J Med Internet Res 2022;24(2):e31830
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Social Media Insights During the COVID-19 Pandemic: Infodemiology Study Using Big Data
insight
JMIR Med Inform 2021;9(7):e27116
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