Abstract
The purpose of this paper is to employ available search and analytical tools to explore the type and quality of information that can be derived from large scale social media interactions. Using graphical techniques such as wordclouds, tracking wordclouds over time, and sociograms (including name and chain social networks), a wealth of information can be derived from the candid and public social media statements and interactions that have become a part of everyday life. The first step to turning this vast source of data into usable diagnostic social media marketing information is understanding how to interrogate the social networks. This research offers search strategies and techniques for Twitter, Facebook, and Instagram. This research looks at wine-related social media posts during a one-week period in August 2016 resulting in 1450 posts (tweets) in Twitter, 10,000 posts in Instagram, and 250 posts in a Facebook group. Specific research and marketing strategies and recommendations are directed to those in the wine industry.
| Original language | English |
|---|---|
| Pages (from-to) | 95–106 |
| Number of pages | 12 |
| Journal | International Journal of Applied Business Research |
| Volume | 2 |
| Issue number | 2 |
| Early online date | 8 Jul 2020 |
| DOIs | |
| Publication status | Published - 8 Jul 2020 |
| Externally published | Yes |
Keywords
- Social media network analysis
- Wordcloud
- Sociograms
- Social name network
- Wine industry