Microsoft Research, New York, NY, United States of America.
Published: July 2016
AI Article Synopsis
Article Abstract
There is a large body of research on utilizing online activity as a survey of political opinion to predict real world election outcomes. There is considerably less work, however, on using this data to understand topic-specific interest and opinion amongst the general population and specific demographic subgroups, as currently measured by relatively expensive surveys. Here we investigate this possibility by studying a full census of all Twitter activity during the 2012 election cycle along with the comprehensive search history of a large panel of Internet users during the same period, highlighting the challenges in interpreting online and social media activity as the results of a survey. As noted in existing work, the online population is a non-representative sample of the offline world (e.g., the U.S. voting population). We extend this work to show how demographic skew and user participation is non-stationary and difficult to predict over time. In addition, the nature of user contributions varies substantially around important events. Furthermore, we note subtle problems in mapping what people are sharing or consuming online to specific sentiment or opinion measures around a particular topic. We provide a framework, built around considering this data as an imperfect continuous panel survey, for addressing these issues so that meaningful insight about public interest and opinion can be reliably extracted from online and social media data.
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Background: Surgical resection is the preferred treatment for localised non-small cell lung cancer (NSCLC). Rehabilitation is central in the management of the associated impaired quality of life, high symptom burden, deconditioning, and social-existential vulnerability. Yet, optimal content and delivery of rehabilitation are not yet defined.
Background: Tuberculosis (TB) is the leading cause of death among people with HIV and a major global health challenge. Subclinical cardiovascular manifestations of TB are poorly documented in high TB and HIV burden countries.
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Medical education, which generally relied heavily on intelligence quotients, has found a new value in emotional intelligence (EI), specifically after the challenges faced during the COVID-19 pandemic. The COVID-19 pandemic has had some apparent and some intangible effects, as this required an emergency switch to online teaching and learning. Aim: This study was conducted to compare the trait emotional intelligence (TEI) score of medical undergraduates with the increasing number of years of medical curriculum.
L.-based food supplement products in pharmacies and para pharmacies in Portugal increased by 84 % between 2021 and 2022, arousing consumers' curiosity. However, information about these products is limited, and consumers are not aware of the restrictions in current European regulations.
