Defining "Essential Digital Health for the Underserved".

The World Health Organization envisions achieving "Health for All," to strive for equitable access to important health information and services to attain wellness (WHO 2023a). The COVID-19 pandemic reshaped the Canadian health system toward increasing digital health services, which improved access for some but underserved others. Integrating digital health into holistic health services delivery deserves careful consideration.

Understanding image-text relations and news values for multimodal news analysis.

The analysis of news dissemination is of utmost importance since the credibility of information and the identification of disinformation and misinformation affect society as a whole. Given the large amounts of news data published daily on the Web, the empirical analysis of news with regard to research questions and the detection of problematic news content on the Web require computational methods that work at scale. Today's online news are typically disseminated in a multimodal form, including various presentation modalities such as text, image, audio, and video.

A STUDY ON FACTORS AFFECTING THE INTENTIONS TO ACCEPT TELEMEDICINE SERVICES IN INDIA DURING COVID-19 PANDEMIC.

The goal of the current study is to comprehend the factors that influence a decision to use telemedicine for healthcare. India saw a massive surge in the use of telemedicine services in the year 2020-21, with teleconsultations increasing by almost 300%. Lockdowns and Covid-19 limitations sped up the introduction of telemedicine services.

Combining sentiment analysis classifiers to explore multilingual news articles covering London 2012 and Rio 2016 Olympics.

This study aims to present an approach for the challenges of working with Sentiment Analysis (SA) applied to news articles in a multilingual corpus. It looks at the use and combination of multiple algorithms to explore news articles published in English and Portuguese. It presents a methodology that starts by evaluating and combining four SA algorithms (SenticNet, SentiStrength, Vader and BERT, being BERT trained in two datasets) to improve the quality of outputs.