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The aim of this work is to determine to what extent Robert Parker has lost his influence as a prescriber in the world of wine through a webometric analysis based on a comparative analysis of Parker’s web influence and that of a competitor who represents an anthitetical vision of the world of wine (Alice Feiring). To do this, we carried out a comparative analysis for Parker’s (@wine_advocate) and Alice Feiring’s (@alicefeiring) official Twitter accounts, including a broad set of metrics (productivity, age, Social Activity, number of followees, etc.), paying special attention to specific followers’ features (age, gender, location, and bios text). The results show that Parker’s twitter profile exhibits an overall higher impact, which denotes not only a different online strategy but also a high level of engagement and popularity. The low level of shared followers by Parker and Feiring (1,898 users) offer prima facie evidence of an online gap between these followers, which can indicate the existence of a divided group of supporters corresponding with the visions that Parker and Feiring represent. Finally, special features are notice for Feiring in gender (more women followers), language (more English-speaking followers) and country (more followers from the United States).
QCA, Web data analysis, Webmetrics, Web data, Twiter data, Conference, PLS, Wine industry, Robert Parker, Big data, Wine prescriptor, SEM, Internet data
QCA, Web data analysis, Webmetrics, Web data, Twiter data, Conference, PLS, Wine industry, Robert Parker, Big data, Wine prescriptor, SEM, Internet data
| selected citations These citations are derived from selected sources. 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). | 1 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 47 | |
| downloads | 87 |

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