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Macro weather and micro blogging: content analysis, media ecology and the sharing of climate change on Twitter

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Macro weather and micro blogging: content analysis, media ecology and the sharing of climate change on Twitter. / Veltri, Giuseppe; Atanasova, Dimitrinka.
In: Public Understanding of Science, Vol. 26, No. 6, 01.08.2017, p. 721-737.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Veltri, G & Atanasova, D 2017, 'Macro weather and micro blogging: content analysis, media ecology and the sharing of climate change on Twitter', Public Understanding of Science, vol. 26, no. 6, pp. 721-737. https://doi.org/10.1177/0963662515613702

APA

Veltri, G., & Atanasova, D. (2017). Macro weather and micro blogging: content analysis, media ecology and the sharing of climate change on Twitter. Public Understanding of Science, 26(6), 721-737. https://doi.org/10.1177/0963662515613702

Vancouver

Veltri G, Atanasova D. Macro weather and micro blogging: content analysis, media ecology and the sharing of climate change on Twitter. Public Understanding of Science. 2017 Aug 1;26(6):721-737. Epub 2015 Nov 26. doi: 10.1177/0963662515613702

Author

Veltri, Giuseppe ; Atanasova, Dimitrinka. / Macro weather and micro blogging : content analysis, media ecology and the sharing of climate change on Twitter. In: Public Understanding of Science. 2017 ; Vol. 26, No. 6. pp. 721-737.

Bibtex

@article{67e530f181a8422f93121db367db8863,
title = "Macro weather and micro blogging: content analysis, media ecology and the sharing of climate change on Twitter",
abstract = "This article presents a study of the content, use of sources and information sharing about climate change analysing over 60,000 tweets collected using a random week sample. We discuss the potential for studying Twitter as a communicative space that is rich in different types of information and presents both new challenges and opportunities. Our analysis combines automatic thematic analysis, semantic network analysis and text classification according to psychological process categories. We also consider the media ecology of tweets and the external web links that users shared. In terms of content, the network of topics uncovered presents a multidimensional discourse that accounts for complex causal links between climate change and its consequences. The media ecology analysis revealed a narrow set of sources with a major role played by traditional media and that emotionally arousing text was more likely to be shared.",
keywords = "climate change, media ecology, semantic graphs, Twitter",
author = "Giuseppe Veltri and Dimitrinka Atanasova",
year = "2017",
month = aug,
day = "1",
doi = "10.1177/0963662515613702",
language = "English",
volume = "26",
pages = "721--737",
journal = "Public Understanding of Science",
issn = "0963-6625",
publisher = "SAGE Publications Ltd",
number = "6",

}

RIS

TY - JOUR

T1 - Macro weather and micro blogging

T2 - content analysis, media ecology and the sharing of climate change on Twitter

AU - Veltri, Giuseppe

AU - Atanasova, Dimitrinka

PY - 2017/8/1

Y1 - 2017/8/1

N2 - This article presents a study of the content, use of sources and information sharing about climate change analysing over 60,000 tweets collected using a random week sample. We discuss the potential for studying Twitter as a communicative space that is rich in different types of information and presents both new challenges and opportunities. Our analysis combines automatic thematic analysis, semantic network analysis and text classification according to psychological process categories. We also consider the media ecology of tweets and the external web links that users shared. In terms of content, the network of topics uncovered presents a multidimensional discourse that accounts for complex causal links between climate change and its consequences. The media ecology analysis revealed a narrow set of sources with a major role played by traditional media and that emotionally arousing text was more likely to be shared.

AB - This article presents a study of the content, use of sources and information sharing about climate change analysing over 60,000 tweets collected using a random week sample. We discuss the potential for studying Twitter as a communicative space that is rich in different types of information and presents both new challenges and opportunities. Our analysis combines automatic thematic analysis, semantic network analysis and text classification according to psychological process categories. We also consider the media ecology of tweets and the external web links that users shared. In terms of content, the network of topics uncovered presents a multidimensional discourse that accounts for complex causal links between climate change and its consequences. The media ecology analysis revealed a narrow set of sources with a major role played by traditional media and that emotionally arousing text was more likely to be shared.

KW - climate change

KW - media ecology

KW - semantic graphs

KW - Twitter

U2 - 10.1177/0963662515613702

DO - 10.1177/0963662515613702

M3 - Journal article

VL - 26

SP - 721

EP - 737

JO - Public Understanding of Science

JF - Public Understanding of Science

SN - 0963-6625

IS - 6

ER -