scholarly journals Exploring spatiotemporal variation characteristics of exceedance air pollution risk using social media big data

2020 ◽  
Vol 15 (11) ◽  
pp. 114049
Author(s):  
Zheng Cao ◽  
Zhifeng Wu ◽  
Shaoying Li ◽  
Wenjun Ma ◽  
Yujiao Deng ◽  
...  
2020 ◽  
Vol 9 (6) ◽  
pp. 3703-3711
Author(s):  
N. Oberoi ◽  
S. Sachdeva ◽  
P. Garg ◽  
R. Walia

Author(s):  
Philip Habel ◽  
Yannis Theocharis

In the last decade, big data, and social media in particular, have seen increased popularity among citizens, organizations, politicians, and other elites—which in turn has created new and promising avenues for scholars studying long-standing questions of communication flows and influence. Studies of social media play a prominent role in our evolving understanding of the supply and demand sides of the political process, including the novel strategies adopted by elites to persuade and mobilize publics, as well as the ways in which citizens react, interact with elites and others, and utilize platforms to persuade audiences. While recognizing some challenges, this chapter speaks to the myriad of opportunities that social media data afford for evaluating questions of mobilization and persuasion, ultimately bringing us closer to a more complete understanding Lasswell’s (1948) famous maxim: “who, says what, in which channel, to whom, [and] with what effect.”


2021 ◽  
Vol 1839 (1) ◽  
pp. 012004
Author(s):  
W Sardjono ◽  
G Rama Putra ◽  
E Selviyanti ◽  
A Cholidin ◽  
G Salim

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