3.6.1.1 Estimated Frequency of Discourses by Influencer in Romania
The Column chart illustrates the extent to which the Romanian influencers considered in the research address the different clusters of discourses as defined in You-Dare research framework.
Methodology
The content produced by the influencers included in the sample was analysed and classified into a set of predefined discourse clusters. For each influencer, a binary coding scheme was applied for every category:
"Yes" if the influencer addressed the given discourse category;
"No" if the category was not addressed.
Each influencer could be associated with multiple discourse clusters simultaneously.
To ensure the comparability of results across countries with different sample sizes, the data were normalised and aggregated at the country level. For each country and for each discourse category, the proportion of positive codings ("yes") was calculated as the ratio between the number of influencers who addressed the specific category and the total number of influencers analysed in that country.
These proportions were then expressed as percentages, providing an estimated measure of the relative prevalence of each discourse category among influencers within each national context. This normalisation procedure enables consistent cross-country comparisons while accounting for differences in the size of national samples.
3.6.1 Discourses
3.6.1.2 Discourses Addressed by Influencers and Groups in Romania
The grouped column chart illustrates a comparison of the most addressed discourse clusters by Romanian influencers and Romanian groups.
Methodology
The content produced by the influencers and the groups included in the sample was analysed and classified according to a predefined set of discourse clusters.
For each influencer and each group, a binary coding scheme was applied to each category:
"Yes" if the influencer/group addressed the corresponding discourse category;
"No" if the category was not addressed.
Influencers and groups could be associated with multiple discourse clusters simultaneously.
To ensure the comparability of results among influencers and groups with different sample sizes, the data were normalised, aggregated and weighted at the country level. For each country and each discourse category, the proportion of positive codings ("Yes") was calculated as the ratio between the number of influencers (or the groups) addressing the specific category and the total number of influencers (or groups) analysed in that country. These proportions were subsequently expressed as percentages, providing an estimate of the relative prevalence of each discourse category among influencers and groups within the national context.
3.6.2 Influencer Timeline
The chart illustrates the timeline of activity of influencers in Romania. The period of activity is identified for each influencer from its year of inception to the end of its activity
3.6.3 Groups Timeline
The chart illustrates the timeline of activity of groups in Romania. The period of activity is identified for each group from its year of inception to the end of its activity.
3.6.4 Estimated Distribution of Social Media Followers in Romania
The radar chart presents the estimated distribution of followers across the different social media platforms in Romania
