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Using Facebook Analytics To Measure And Model The Spiral Of Silence In A Development Discourse

Authors: Magno, Leonardo;

Using Facebook Analytics To Measure And Model The Spiral Of Silence In A Development Discourse

Abstract

Abstract Previous studies have applied Elisabeth Noelle-Neumann's Spiral of Silence Theory to social media, yet no study has used social media metrics to quantify the minority-majority opinion gap and to construct a 3D model of an actual Spiral of Silence using field data from a development discussion. This research offers five contributions: (i) an equation that measures the gap in minority-majority opinion or positive-negative social media engagement rates, (ii) a ratio which is the output of the equation, (iii) an index which is the output of the ratio and which measures the size of the spiral, (iv) a theorem that demonstrates logical transitivity of numbers to denote the presence or absence of communication, and (v) a methodology to visualize and model the shape of the spiral in 3D. This study finds that an equation modified from Facebook's engagement rate formula-one that disaggregates positive from negative engagement (minority-majority opinion gaps) and allows data to be gathered even from respondents who do not have access to Facebook-can be used to quantify and then model in 3D an actual Spiral of Silence.

Keywords

Media and communication studies, Social media engagement, Development Discourse, Facebook analytics, Spiral of Silence Theory

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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