Using Facebook Analytics To Measure And Model The Spiral Of Silence In A Development Discourse
Using Facebook Analytics To Measure And Model The Spiral Of Silence In A Development Discourse
dc.contributor.author | Magno, Leonardo, Jr. | |
dc.date.accessioned | 2022-08-19T03:48:37Z | |
dc.date.available | 2022-08-19T03:48:37Z | |
dc.date.issued | 2017-05-06 | |
dc.description | PhD Dissertation | |
dc.description.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. | |
dc.identifier.doi | 10.5281/zenodo.7008775 | |
dc.identifier.uri | https://repository.upou.edu.ph/handle/20.500.13073/515 | |
dc.language.iso | en | |
dc.subject | Research Subject Categories::SOCIAL SCIENCES::Other social sciences::Media and communication studies | |
dc.title | Using Facebook Analytics To Measure And Model The Spiral Of Silence In A Development Discourse | |
dc.type | Thesis |