The implementation of UNESCO Biosphere Reserves (BR) in Canada is strongly dependent on grassroots community-based support and understanding. The recent calls for the Oak Ridges Moraine and adjacent Greenbelt lands (ORMGB) to be designated a BR require that a communications strategy be created to garner local support. Taking into consideration complex systems theory, this study looked to build a communications framework that combined higher-scale social organizing literature like social movement and environmental campaigns more detail-focused group dynamics and strategic communications research. Applying this framework to the ORMBG landscape revealed key target audience groups and messaging for the BR communications strategy.

The implementation of UNESCO Biosphere Reserves (BR) in Canada is strongly dependent on grassroots community-based support and understanding. The recent calls for the Oak Ridges Moraine and adjacent Greenbelt lands (ORMGB) to be designated a BR require that a communications strategy be created to garner local support. Taking into consideration complex systems theory, this study looked to build a communications framework that combined higher-scale social organizing literature like social movement and environmental campaigns more detail-focused group dynamics and strategic communications research. Applying this framework to the ORMBG landscape revealed key target audience groups and messaging for the BR communications strategy.

The rapid spread of digital information and communication technologies since the turn of the century has led to renewed debates about globalisation and the power of new media to connect users across national, political and cultural borders. Environmental campaigns like WWF's Earth Hour, which touts itself as “the world's largest grassroots movement for the environment,” often adopt a utopian view of globalisation that celebrates what Marshall McLuhan termed the ‘global village'. While this global ethos might be useful in engaging the publics in collective action, this article argues that the way Earth Hour and similar campaigns actively construct representations of a single global village overlooks the lived inequalities between and among peoples within this imagined community. This article explores this tension using a quantitative and qualitative mixed-methods approach that combines a semiotic analysis of the Earth Hour 2019 promotional video, social media analysis of the use of #Connect2Earth hashtag among South African Twitter users, and in-depth interviews with current and former WWF-South Africa employees. This strategic approach is designed to juxtapose socially constructed representations of Earth Hour with on-the-ground user engagement in South Africa, and then triangulating these findings with qualitative interviews. The dissertation aims to explore the research question: In what ways does WWF's Earth Hour embody Marshall McLuhan's ideal ‘global village' and in what ways might it engender a form of eco-imperialism? This research question is operationalised through three subquestions: What kind of environmentalism do global environmental campaigns like Earth Hour promote? How do audiences in South Africa engage with Earth Hour on social media? How do local WWF of ices adapt global environmental campaigns to suit local audiences? This research contributes to emerging scholarship, rooted in environmental justice and decolonial studies, that is critical of mainstream environmental movements not to discourage environmental consciousness but to ultimately reformulate it.

With the growth of the internet, data from text sources has become increasingly available to researchers in the form of online newspapers, journals, and blogs. This data presents a unique opportunity to analyze human opinions and behaviors without soliciting the public explicitly. In this research, I utilize newspaper articles and the social media service Twitter to infer self-reported public opinions and awareness of climate change. Climate change is one of the most important and heavily debated issues of our time, and analyzing large-scale text surrounding this issue reveals insights surrounding self-reported public opinion. First, I inquire about public discourse on both climate change and energy system vulnerability following two large hurricanes. I apply topic modeling techniques to a corpus of articles about each hurricane in order to determine how these topics were reported on in the post event news media. Next, I perform sentiment analysis on a large collection of data from Twitter using a previously developed tool called the "hedonometer". I use this sentiment scoring technique to investigate how the Twitter community reports feeling about climate change. Finally, I generalize the sentiment analysis technique to many other topics of global importance, and compare to more traditional public opinion polling methods. I determine that since traditional public opinion polls have limited reach and high associated costs, text data from Twitter may be the future of public opinion polling.

No description available.