User Research: Social Network, Heat Map, Discourses of Front-of-Pack Nutrition Labelling

#Userresearch; #perception; #discourses ; #big data study; #socialmedia

A study front of pack nutrition labeling in the EU through Twitter, by content analysis of tweets, sentiment analysis, and mapping network characteristics. The search and data collection of tweets were carried out by using the Twitter application programming interface (API) without time or language limit. The content was coded using the QRS Nvivo software package and analyzed by themes. And the automatic sentiment analysis was carried out by QSR Nvivo, network analysis by Gephi 0.9.2, and Netylic.org.

Network Analysis

1. Influencer Connection

Most influencers have a connection to another influencer and each influencer has a significant follower.

2. Countries Connection

The discussion of FOPL involved connections between countries.

3. Each Country's Tweet Number (heat map presented)

Our results finding showed that FOPL discussions on Twitter are limited to a very narrow group of countries/people.

The official publication click link below:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083270/