2019
DOI: 10.1016/j.dcm.2018.03.005
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Social media and the future of open debate: A user-oriented approach to Facebook’s filter bubble conundrum

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Cited by 72 publications
(39 citation statements)
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“…ANOVA 0.000 Post Hoc Tests (LSD) The differences inside these groups are not statistically significant. The strict division of the respondents into these two groups support the bubble hypothesis where the frequent users of social media reinforce shared identities, and rely mainly or totally on the information shared within the bubbles as opposed to outer sources of information [48,49]. The positive effect of social networks on opinions on RES-E may arise from the phenomenon of Greta Thunberg, a Swedish environmental activist fighting against the climate change whose campaigning gained international recognition [50,51].…”
Section: Multiple Comparisonsmentioning
confidence: 87%
“…ANOVA 0.000 Post Hoc Tests (LSD) The differences inside these groups are not statistically significant. The strict division of the respondents into these two groups support the bubble hypothesis where the frequent users of social media reinforce shared identities, and rely mainly or totally on the information shared within the bubbles as opposed to outer sources of information [48,49]. The positive effect of social networks on opinions on RES-E may arise from the phenomenon of Greta Thunberg, a Swedish environmental activist fighting against the climate change whose campaigning gained international recognition [50,51].…”
Section: Multiple Comparisonsmentioning
confidence: 87%
“…The only thing that matters is that the information falls in line with what the social media user wants to hear and believe [16]. Many studies also refer to it as the "filter bubble effect" where social media users use social media platforms to suggest or convince other social media users of their cause [33]. Communities form as a result of these filter bubbles where social media users cut themselves off from any other individual that might not share the same beliefs or opinions [33].…”
Section: Social Factorsmentioning
confidence: 99%
“…Many studies also refer to it as the "filter bubble effect" where social media users use social media platforms to suggest or convince other social media users of their cause [33]. Communities form as a result of these filter bubbles where social media users cut themselves off from any other individual that might not share the same beliefs or opinions [33]. It was found that social media users tend to read news or information that are ideologically similar to their own ideologies [29].…”
Section: Social Factorsmentioning
confidence: 99%
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“…2016; Haim et al 2018). Studies investigating selective exposure to news on Facebook (Bakshy et al 2015) and "echo chamber" effects on Twitter (Williams et al 2015) have demonstrated that users themselves are also responsible for restricting visibility of news and stories (Seargeant and Tagg 2018) and peer-to-peer interactions (Williams et al 2015). Users tend to avoid conflicts and seek peer approval.…”
Section: Challenges and Limitations Of Social Media Communicationmentioning
confidence: 99%