Public acceptance of climate change affected by word usage

Jan 22, 2013

Public acceptance of climate change's reality may have been influenced by the rate at which words moved from scientific journals into the mainstream, according to anthropologist Michael O'Brien, dean of the College of Arts and Science at the University of Missouri. A recent study of word usage in popular literature by O'Brien and his colleagues documented how the usage of certain words related to climate change has risen and fallen over the past two centuries. Understanding how word usage affects public acceptance of science could lead to better science communication and a more informed public.

"Scientists can learn from this study that the general public shouldn't be expected to understand technical terms or be convinced by journal papers written in technical jargon," O'Brien said. "Journalists must explain scientific terms in ways people can understand and thereby ease the movement of those terms into general speech. That can be a slow process. Several words related to climate change diffused into the popular vocabulary over a 30-50 year timeline."

O'Brien's study found that, by 2008, several important terms in the discussion of climate change had entered popular literature from technical obscurity in the early 1900s. These terms included:

  • Biodiversity – the degree of variation in life forms within a given area
  • Holocene – the current era of the Earth's history, which started at the end of the
  • Paleoclimate –the prehistoric climate, often deduced from ice cores, and pollen trapped in sediments
  • Phenology – the study of how climate and other environmental factors influence the timing of events in organisms'
Not every term was adopted at the same rate or achieved the same degree of popularity. Biodiversity, for example, came into popular use quickly in only a few years in the late 80s and early 90s. Other terms, like Holocene or phenology, have taken decades and are still relatively uncommon.

"The adoption of words into the popular vocabulary is like the evolution of species," O'Brien said. "A complex process governs why certain terms are successful and adopted into everyday speech, while others fail. For example, the term 'meme' has entered the vernacular, as opposed to the term 'culturgen,' although both refer to a discrete unit of culture, such as a saying transferred from person to person."

To observe the movement of words into popular literature, O'Brien and his colleagues searched the database of 7 million books created by Google. They used the "Ngram" feature of the database to track the number of appearances of climate change keywords in literature since 1800. The usage rate of those terms was compared to the usage of "the," which is the most common word in the English language. Statistical analysis of usage rates was calculated in part by co-author William Brock, a new member of MU's Department of Economics and member of the National Academy of Sciences.

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More information: The study, "Word Diffusion and Climate Science" was published in the journal PLOS ONE and can be viewed here: www.plosone.org/article/info:d… journal.pone.0047966

A portion of O'Brien's experiment can be repeated using any computer with internet access.

1. Go to books.google.com/ngrams

2. Enter terms such as "climate change," "global warming," or "anthropogenic" and note how they have changed in usage over the past century.

A New York Times op-ed "The Buzzwords of the Crowd," by O'Brien and first author R. Alexander Bentley of the University of Bristol further discussed their research and its implications for society.

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ScooterG
2 / 5 (8) Jan 22, 2013
Oh Gawd...here we go again. "Scientists" trying to figure out a better way to scam the public regarding climate change.

This isn't a scientific study, but rather a market analysis.
HannesAlfven
2 / 5 (4) Jan 22, 2013
Perhaps they should study the impact of educating the public on how models are connected to philosophies, and how a constructivist approach to science which explores more than just one worldview in science can flower into a number of models which all make wildly varying predictions?