Abstract
We study online conversations about climate policy by building a novel dataset
of around 100,000 tweets and tweet threads by climate policy scientists. This
data is complemented with information about the scientific affiliation and
production of scientists. We undertake an exploratory analysis of the content
of tweets by means of Natural Language Processing. In addition, we study the
relationship between tweet content and academic background. This indicates
that economists and political scientists are the most active in discussing
climate policy on Twitter. We further find that the policy instruments receiving
most attention are cap-and-trade and carbon taxation.
of around 100,000 tweets and tweet threads by climate policy scientists. This
data is complemented with information about the scientific affiliation and
production of scientists. We undertake an exploratory analysis of the content
of tweets by means of Natural Language Processing. In addition, we study the
relationship between tweet content and academic background. This indicates
that economists and political scientists are the most active in discussing
climate policy on Twitter. We further find that the policy instruments receiving
most attention are cap-and-trade and carbon taxation.
| Original language | English |
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| Publisher | Universidad Politecnica de Valencia |
| Number of pages | 8 |
| ISBN (Electronic) | 978-84-1396- 086-9 |
| DOIs | |
| Publication status | Published - 2023 |
Publication series
| Name | 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023) |
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