Using artificial intelligence (AI) researchers have found that between 2007 and 2016 online sentiments around climate change were uniform, but this was not the case with vaccination. Climate change and vaccinations might share many of the same social and environmental elements, but that doesn't mean the debates are divided along the same demographics. A research team from the University of Waterloo and the University of Guelph trained a machine-learning algorithm to analyze a massive number of tweets about climate change and vaccination. The researchers found that climate change sentiment was overwhelmingly on the pro side of those that believe climate change is because of human activity and requires action. There was also a significant amount of interaction between users with opposite sentiments about climate change.
Extreme heat is a huge worry for doctors and public health experts around the world, and it's steadily become a bigger problem over time, according to a sweeping new climate report published today in the leading medical journal, The Lancet. The analysis, from 43 academic institutions and United Nations agencies, focuses on the threats the climate crisis poses to human health. While the group has published similar reports over the past five years, this is the first time it includes warnings on the impact hotter days have on mental health and physical activity. It follows an increase in devastating heatwaves around the world. "I saw paramedics who had burns on their knees from kneeling down to care for patients with heatstroke. I saw far too many patients die in the ED as a result of their heat exposure this past year," Jeremy Hess, a professor of environmental and occupational health sciences, global health and emergency medicine at the University of Washington, said during a press briefing this week.
Every time someone in a position of power (for example) says that a cold snap in winter proves that climate change is not a thing, a dutiful chorus responds with a familiar refrain: weather is not climate. Weather happens on the scale of days or weeks, over a distance relevant to cities or states. Climate happens over decades, centuries even, to an entire planet. The problem is, guess what timescale and space-scale people live on? The question of what can make human beings understand climate change is literally an existential one.
In partnership with organizations including the World Resources Institute and the Yale Program on Climate Change, Facebook today released the Climate Conversation Map, a set of maps that tap aggregated, anonymized data to highlight where, when, and how often users share or react to climate change-related links. It's available by request to research partners and nonprofits following a preview last year, and it now provides new information including data and insights into how conversations ebb and flow over time. The maps could be used by organizations to visualize the rate of engagement with climate-related news, and by extension to study the impact it might have on global sentiment. Unsurprisingly, studies show that climate change opinion differs throughout the world -- according to a report from the European Investment Bank, 80% of Chinese people believe that climate change is irreversible compared with 25% of Italy and Spain. As with Facebook's other data-driven maps, the Climate Conversation Map is created with an automated system that pulls the daily volume of total external link shares on Facebook as well as the number of reshares and comments/reactions to the links.
People around the globe are more actively using social media platform such as Twitter, Facebook, and Instagram etc. They share information, opinions, ideas, experiences and other details in the social media. The business communities have become more aware of these developments and they want to use the available information in their favor. One of the ways to understand the people opinions on the product they are using is by collecting tweets related to those products. Then performing the sentiment analysis on the tweets collected on a particular topic.