Bibliographic Details
| Title: |
World Environment Day: Understanding Environmental Programs Impact on Society Using Twitter Data Mining. |
| Authors: |
Zarrabeitia-Bilbao, Enara, Rio-Belver, Rosa-María, Alvarez-Meaza, Izaskun, Martínez de Alegría-Mancisidor, Itziar |
| Source: |
Social Indicators Research; Nov2022, Vol. 164 Issue 1, p263-284, 22p, 2 Diagrams, 8 Charts, 4 Graphs |
| Subject Terms: |
DATA mining, SOCIAL support, SOCIAL network analysis, RESTORATION ecology, SUSTAINABILITY |
| Company/Entity: |
UNITED Nations |
| Reviews & Products: |
TWITTER (Web resource) |
| Abstract: |
Environmental sustainability awareness has encouraged the promotion of a number of environmental programs and initiatives and, accordingly, the use of social networks for the dissemination and support of these initiatives has grown significantly. Thus, the purpose of the work is to understand United Nations World Environment Day (WED) programs impact on the digital public debate using Twitter data mining. For that, an ad hoc methodology is designed to provide it to authorities and organizations that wish to analyze the impact of different initiatives or programs on society. All in all, the research carried out analyzes more than 400,000 tweets sent during the 2021 edition of the WED. The tweets have been processed using Big Data techniques and Social Network Analysis. The research reveals that the WED was a trending topic initiative that was discussed in positive terms, where collective sentiment was shown. The topics covered dealt with the event day and the different initiatives related to restoration of ecosystems. However, it is noted that: there is no coordinated action by the institutions, groups or individuals involved in the conversation and the initiative tends towards homophily; digital mobilization is mostly centered in the host country (Pakistan) and, above all, in the neighboring country (India) and, the conspicuous absence of the business sphere in the discussion. [ABSTRACT FROM AUTHOR] |
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| Database: |
Biomedical Index |