Understanding Collective Identity in Virtual Spaces: A Study of the Youth Climate Movement

2021 ◽  
pp. 000276422110562
Author(s):  
Sohana Nasrin ◽  
Dana R. Fisher
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Identity Formation ◽  
Collective Identity ◽  
Collective Identities ◽  
Virtual Spaces ◽  
Collective Narratives ◽  
The Us ◽  
Unique Dataset

How does collective identity form in virtual spaces and what role do hashtags play? This paper takes advantage of a unique dataset that includes surveys from activists who organized the nationally coordinated climate strikes in the US that began in spring 2019 to answer these questions. Building on the research about collective identity formation online and the role that hashtags play, we employ social network analysis to assess how collective identity forms online over three waves of protests. In particular, we analyze how activists involved in the youth climate movement used hashtags to project their collective identities and create collective narratives. Our findings show how hashtags use varied over the period of our study, in some cases indicating the formation of a thin collective identity. They also show that there are patterns in the ways hashtags are employed by activists in the movement that suggest the formation of subaltern narratives among those affiliated with youth-led groups. Our paper concludes by considering how this finding helps us understand collective identity in virtual spaces and the role that hashtags play more specifically within social movements.

scholarly journals Shifting Coalitions within the Youth Climate Movement in the US

2021 ◽  
Vol 9 (2) ◽  
pp. 112-123 ◽  
Author(s):  
Dana R. Fisher ◽  
Sohana Nasrin
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Coalition Building ◽  
Climate Politics ◽  
Affiliation Networks ◽  
The Us ◽  
Alliance Building ◽  
Over Time ◽  
Unique Dataset

How has the youth climate movement in the US grown since the Climate Strikes began and in what ways did it change as it grew? This article takes advantage of a unique dataset that includes surveys from activists who organized the nationally coordinated climate strikes in the US that began with Fridays for Future in spring 2019. Building on the research on alliance building and strategic coalitions, this article analyzes how the patterns of participation changed over the period of the study. We employ social network analysis to map the affiliation networks among the organizers of these events to assess the coalitions of groups involved and the shifting organizational landscape. Our analysis does not provide evidence that groups spanned the boundaries across movements, nor does it show that identity plays a role in coalition building in this movement. Instead, by mapping out the coalition of organizations within this movement and how connections among them change over time, we see clear evidence that this youth-led movement was reoriented by adult-led organizations. Our article concludes by considering how these findings suggest the future trajectory of the youth climate movement and its role in a ‘new climate politics’ in America.

scholarly journals Shifting Coalitions within the Youth Climate Movement in the US

2021 ◽  
Author(s):  
Dana R Fisher ◽  
Sohana Nasrin
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Coalition Building ◽  
Climate Politics ◽  
Affiliation Networks ◽  
The Us ◽  
Alliance Building ◽  
Over Time ◽  
Unique Dataset

How has the youth climate movement in the US grown since the Climate Strikes began and in what ways did it change as it grew? This article takes advantage of a unique dataset that includes surveys from activists who organized the nationally coordinated climate strikes in the US that began with Fridays for Future in spring 2019. Building on the research on alliance building and strategic coalitions, this article analyzes how the patterns of participation changed over the period of the study. We employ social network analysis to map the affiliation networks among the organizers of these events to assess the coalitions of groups involved and the shifting organizational landscape. Our analysis does not provide evidence that groups spanned the boundaries across movements, nor does it show that identity played a role in coalition building in this movement. Instead, by mapping out the coalition of organizations within this movement and how connections among them change over time, we see clear evidence that this youth-led movement was reoriented by adult-led organizations. Our article concludes by considering how these findings suggest the future trajectory of the youth climate movement and its role in a ‘new climate politics’ in America.

scholarly journals Global Collaboration in Artificial Intelligence: Bibliometrics and Network Analysis from 1985 to 2019

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Haotian Hu ◽  
Dongbo Wang ◽  
Sanhong Deng
Keyword(s):  
Artificial Intelligence ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
International Collaboration ◽  
Edge Weight ◽  
Global Collaboration ◽  
The Us ◽  
Collaboration Patterns ◽  
The Uk

AbstractPurposeThis study aims to explore the trend and status of international collaboration in the field of artificial intelligence (AI) and to understand the hot topics, core groups, and major collaboration patterns in global AI research.Design/methodology/approachWe selected 38,224 papers in the field of AI from 1985 to 2019 in the core collection database of Web of Science (WoS) and studied international collaboration from the perspectives of authors, institutions, and countries through bibliometric analysis and social network analysis.FindingsThe bibliometric results show that in the field of AI, the number of published papers is increasing every year, and 84.8% of them are cooperative papers. Collaboration with more than three authors, collaboration between two countries and collaboration within institutions are the three main levels of collaboration patterns. Through social network analysis, this study found that the US, the UK, France, and Spain led global collaboration research in the field of AI at the country level, while Vietnam, Saudi Arabia, and United Arab Emirates had a high degree of international participation. Collaboration at the institution level reflects obvious regional and economic characteristics. There are the Developing Countries Institution Collaboration Group led by Iran, China, and Vietnam, as well as the Developed Countries Institution Collaboration Group led by the US, Canada, the UK. Also, the Chinese Academy of Sciences (China) plays an important, pivotal role in connecting the these institutional collaboration groups.Research limitationsFirst, participant contributions in international collaboration may have varied, but in our research they are viewed equally when building collaboration networks. Second, although the edge weight in the collaboration network is considered, it is only used to help reduce the network and does not reflect the strength of collaboration.Practical implicationsThe findings fill the current shortage of research on international collaboration in AI. They will help inform scientists and policy makers about the future of AI research.Originality/valueThis work is the longest to date regarding international collaboration in the field of AI. This research explores the evolution, future trends, and major collaboration patterns of international collaboration in the field of AI over the past 35 years. It also reveals the leading countries, core groups, and characteristics of collaboration in the field of AI.

scholarly journals Informatics for COVID-19 in New York and California

2021 ◽  
pp. 1-14
Author(s):  
Seungil Yum
Keyword(s):  
New York ◽  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communication Networks ◽  
Crucial Role ◽  
Essential Role ◽  
The Us ◽  
Key Players

Abstract Objective: This study explores how social networks for COVID-19 are differentiated by regions. Methods: This study employs social network analysis for Twitter in New York and California. Results: National key players play an important role in New York, while regional key players exert a significant impact on California. Some key players, such as the US president, play an essential role in both New York and California. Hispanic key players play a crucial role in California. Each group is more likely to show communication networks within groups in New York, while it is more apt to exhibit communication networks across groups in California. Government players play a different role in social networks according to regions. Conclusions: Governments should understand how social networks for COVID-19 are differentiated by regions to control the ongoing pandemic effectively.

scholarly journals The Landscape of Comparative Politics: Which Regions and Countries Have Had High Profiles in Comparative Politics Journals?

2019 ◽  
Vol 52 (2) ◽  
pp. 325-331
Author(s):  
Yoonjin Song
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
North America ◽  
Comparative Politics ◽  
Western Europe ◽  
Descriptive Statistics ◽  
Academic Journals ◽  
The Us ◽  
Political Studies

ABSTRACTThis article uses descriptive statistics and social-network analysis to examine which regions and countries were selected in studies comparing-two countries that have been published in America’s renowned academic journals in comparative politics (CP): Comparative Political Studies and Journal of Comparative Politics. Which regions and countries are favored (and disfavored) by these studies? Analysis shows that the US-based CP journals strongly favor research on the countries of Western Europe and North America. There may be several explanations for this, but the uneven distribution of research publications with respect to continents and countries may be a source of several biases that should be of concern in the CP field.

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