scholarly journals A Social Science Method for Public Engagement in the Context of Natural Resource Planning in the United States

2021 ◽  
pp. 1-21
Author(s):  
Christopher A. Armatas ◽  
William T. Borrie ◽  
Alan E. Watson
1972 ◽  
Vol 1 (01) ◽  
pp. 182-191
Author(s):  
Lee D. Schneider ◽  
Donn A. Derr

From 1940 to 1970 the population of the United States and particularly the Northeast has increased rapidly. The population of the United States has grown from approximately 132 to 203 million people, while the increase in the Northeast was from 36 to 49 million. This constitutes a 54 percent increase in the United States’ population and a change in density from 37 to 57 people per square mile. For the Northeast, which is already the most densely populated region of the United States (New Jersey having 953 people per square mile), the expansion was from 134 to 182 people per square mile, representing a 36 percent increase.


2019 ◽  
Vol 100 ◽  
pp. 142-153 ◽  
Author(s):  
Michaela Foster ◽  
M. Nils Peterson ◽  
Frederick Cubbage ◽  
Gerard McMahon

2021 ◽  
pp. 089976402110573
Author(s):  
Zongchao Cathy Li ◽  
Yi Grace Ji ◽  
Weiting Tao ◽  
Zifei Fay Chen

This study investigated nonprofit organizations’ (NPOs) emotion-based content strategies on Facebook and publics’ engagement behaviors. More than 52,000 Facebook posts and corresponding comments were collected from the top 100 NPOs in the United States. The emotion-carrying status and valence of the messages were analyzed with computer-assisted sentiment analysis procedures. Results confirmed emotion-carrying posts and posts with negative emotions led to increased public engagement as indexed by the volumes of likes, shares, and comments. The presence of emotions and valence of the NPOs’ posts were also found to have a diffusion effect on user comments.


2020 ◽  
Vol 30 (6) ◽  
pp. 795-808
Author(s):  
Jennifer Hudson ◽  
David Hudson ◽  
Paolo Morini ◽  
Harold Clarke ◽  
Marianne C. Stewart

2020 ◽  
Author(s):  
Eaman Jahani ◽  
Natalie McDaniel Gallagher ◽  
Friedolin Merhout ◽  
Nicolo Cavalli ◽  
Douglas Guilbeault ◽  
...  

Longstanding theory indicates the threat of a common enemy can mitigate conflict between members of rival groups. We tested this hypothesis in a pre-registered experiment where 1,670 Republicans and Democrats in the United States were asked to complete a collaborative online task with an automated agent or “bot” that was labelled as a member of the opposing party. Prior to this task, we exposed respondents to primes about a) a common enemy (involving threats from Iran, China, and Russia); b) a patriotic event; or c) a neutral, apolitical prime. Though we observed no significant differences in the behavior of Democrats as a result of these primes, we found that Republicans—and particularly those with very strong conservative views—were significantly less likely to cooperate with Democrats when primed about a common enemy. We also observed lower rates of cooperation among Republicans who participated in our study during the 2020 Iran crisis, which occurred in the middle of our fieldwork. These findings indicate common enemies may not reduce inter-group conflict in highly polarized societies, and contribute to a growing number of studies that find evidence of asymmetric political polarization. We conclude by discussing the implications of these findings for research in social psychology, political conflict, and the rapidly expanding field of computational social science.


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