Greta Thunbergâ€™s speech at the United Nations rattled people around the globe. The 16-year-old accused world leaders of neglecting their duty and foisting the problems created by one generation onto the backs of another â€” todayâ€™s youth. Her statement was certainly morally charged.
But how exactly did the content of Thunbergâ€™s message impact the effects it may have had?
To answer that question, Rene Weber, director of the Media Neuroscience Lab at UC Santa Barbara, and graduate student Frederic Hopp used a system Weber developed in his lab that analyzes real-world moral framing and moral conflict in messages.
â€œThere is mounting evidence that environmental attitudes are firmly rooted in humansâ€™ moral intuitions,â€� said Weber, also a professor in the Department of Communication. â€œAs a result, successfully informing citizens about the consequences of climate change and calling for action will require activists and policy makers to frame their messages according to their audiencesâ€™ moral sensitivities.â€�
MoNa, the Moral Narrative Analyzer, takes advantage of computer algorithms, large-scale text mining and evaluations from a large, diverse group of humans to decode the innate moral framing within different texts.
According to Weber, all moral systems humans have developed touch on five fundamental categories.
Weber and Hopp were curious about the representation of these categories in Thunbergâ€™s speech, so they used MoNA to decipher how she framed her message.
In line with Thunbergâ€™s strong appeal to the harm and unfairness of the current climate crisis, MoNA identified care/harm and fairness/cheating as the most dominant moral frames in her speech.
Words related to care and fairness were well-represented in Thunbergâ€™s speech.
Photo Credit: RENE WEBER/ FREDERIC HOPP
â€œResearch has shown that liberals are especially sensitive to violations of care and fairness,â€� Weber explained, â€œwhereas conservative individuals tend to place greater emphasis on violations of loyalty, authority, sanctity.â€� In this light, climate messages that stress the notions of care/harm and fairness/cheating will likely prove more persuasive among liberal audiences.
However, Weber continued, Thunberg also framed climate change as a betrayal of political leaders and older generations against the worldâ€™s youth, who will have to adapt to and address a crisis they inherited due to the recalcitrance and apathy of those currently in power.
Weber and Hopp also used MoNA to analyze the sentiment of the speechâ€™s moral content â€” whether it was positive or negative. They found some intriguing patterns. Thunberg relies on more negative words when referring to issues of care and authority, they noted, potentially highlighting the violation of these moral foundations by policy leaders. In contrast, she appears to use more positive language when referring to topics of fairness and loyalty, potentially indicating her hope for future adherence to these foundations by world leaders.
These word clouds illustrate the positive or negative sentiment of words Thunberg used and their associated categories.
Photo Credit: RENE WEBER/ FREDERIC HOPP
For example, stating that â€œwe need to care about the health of our climateâ€� reflects a call for virtue in the care category, whereas stating that â€œwe fail to adhere to our plans and agreementsâ€� suggests a vice in the loyalty foundation.
Weber and Hopp expressed caution regarding the results of their analysis. â€œThunberg is relying on words that fall into categories of moral foundations,â€� Hopp said, but added that the broader effects this may have fall outside the scope of their relatively quick analysis. However, with more data, MoNA can help researchers and other interested groups to analyze real-world reactions â€” like activism, donations and changes in behavior â€” to speeches like Gretaâ€™s as well as other persuasive language.
â€œI believe this quick analysis demonstrates MoNAâ€™s capability to extract moral frames from real-world text with high reliability and validity,â€� Weber said.