AI dietician: Unveiling the accuracy of ChatGPT's nutritional estimations.

We investigate the accuracy and reliability of ChatGPT, an artificial intelligence model developed by OpenAI, in providing nutritional information for dietary planning and weight management. The results have a reasonable level of accuracy, with energy values having the highest level of conformity: 97% of the artificial intelligence values fall within a 40% difference from United States Department of Agriculture data. Additionally, ChatGPT displayed consistency in its provision of nutritional data, as indicated by relatively low coefficient of variation values for each nutrient.

Testing ChatGPT's Capabilities for Social Media Content Analysis.

This letter explores the potential of artificial intelligence models, specifically ChatGPT, for content analysis, namely for categorizing social media posts. The primary focus is on Twitter posts with the hashtag #plasticsurgery. Through integrating Python with the OpenAI API, the study provides a designed prompt to categorize tweet content.

Leveraging ChatGPT for Human Behavior Assessment: Potential Implications for Mental Health Care.

This letter explores the capability of AI, specifically OpenAI's ChatGPT, in interpreting human behavior and its potential implications for mental health care. Data were collected from the Reddit forum "AmItheAsshole" (AITA) to assess the congruence between AI's verdict and the collective human opinion on this platform. AITA, with its vast range of interpersonal situations, provides rich insights into human behavioral evaluation and perception.

Behind the ChatGPT Hype: Are Its Suggestions Contributing to Addiction?

ChatGPT has been a frequent topic of discussion lately. All over the Internet, from YouTube to blogs, there have been reports about how ChatGPT is able to plan people's daily activities, even for a whole month. However, what matters is what activities ChatGPT recommends.

Colombian political leaders on Twitter during the Covid-19 pandemic.

This study analyzes the use of Twitter by Colombian political elites during the Covid-19 pandemic, employing qualitative and quantitative methods and techniques. We collected Twitter data on the Colombian president, the mayor of Bogota, and all the members of the Congress of Colombia. We then analyzed qualitatively the content of the most popular tweets sent by President Iván Duque, Mayor Claudia López, and Gustavo Petro, the leader of the opposition.

The use of Twitter by state leaders and its impact on the public during the COVID-19 pandemic.

The article examines how many leaders used Twitter during the COVID-19 pandemic, in what way, and the impact they had on the public. In the context of Twitter, the impact on the public refers to the growth in followers as it signifies the increased interest of the public about information. 50,872 tweets were collected from 143 state leaders and an original dataset was created containing information on the growth of followers.