2015
DOI: 10.1038/nclimate2666
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An empirical examination of echo chambers in US climate policy networks

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Cited by 163 publications
(131 citation statements)
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References 44 publications
(36 reference statements)
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“…Results also showed a strong pattern of mutual follows among senators within each party, creating two independent subnetworks where the limited information that is injected into the inner circle of each political party is shared. This is consistent with recent surveys showing how information is disproportionately shared among people with similar political ideologies [20]. An analysis of senators' direct communication network (mutual follows among senators, Fig.…”
Section: Twitter Follows Are Diagnostic Of Political Tribalismsupporting
confidence: 70%
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“…Results also showed a strong pattern of mutual follows among senators within each party, creating two independent subnetworks where the limited information that is injected into the inner circle of each political party is shared. This is consistent with recent surveys showing how information is disproportionately shared among people with similar political ideologies [20]. An analysis of senators' direct communication network (mutual follows among senators, Fig.…”
Section: Twitter Follows Are Diagnostic Of Political Tribalismsupporting
confidence: 70%
“…A 2015 survey by Jasny and colleagues [20] emphasized that in political spheres information on climate change often reverberates within a series of "echo chambers" with relatively few opportunities for cross-fertilization. Analyses of the general public based on Twitter, in contrast, suggest that while information on political issues is exchanged primarily among users with similar ideologies, information regarding other current events can be more dynamic and at least initially starts as a "national conversation" that may eventually devolve into partisan bickering [16].…”
Section: Introductionmentioning
confidence: 99%
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“…Centola and Baronchelli (2015) suggested that the increase in social connectedness via social media could potentially facilitate the convergence of public opinion among people who do not even know that they are implicitly coordinating with one another. Other studies show that such convergence can induce a phase transition (or non-linearity), shifting public opinion from moderate views towards extremism (Ramos et al, 2015), causing community disconnection (Gil and Zanette, 2006) and echo-chamber effects, particularly in domains with high emotional salience (Cowan, 2014;Jasny et al, 2015;Pentland, 2014). We will conclude by presenting a coarse outline for technical approaches to counteract imbalances in online communication systems.…”
Section: Practical Implications For Improving Online Communication Symentioning
confidence: 99%
“…These likeminded actors are probably retweeting each other's content to be part of the conversation (boyd et al, ), and are likely motivated to get information out about the topic. These interest tweets may be creating a UBI positive echo chamber (Edwards, ; Jasny, Waggle, & Fisher, ), where tweets tend to flow over short sharing chains and stay within a cluster of actors with similar content choices (Huberman & Adamic, ). Thus, these messages do little to bring new actors into the discussion space.…”
Section: Discussion: Diffusion As Social Changementioning
confidence: 99%