1. Modeling, Evaluating, and Applying the eWoM Power of Reddit Posts
- Author
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Domenico Ursino, Gianluca Bonifazi, Luca Virgili, and Enrico Corradini
- Subjects
Artificial Intelligence ,Word of Mouth ,eWoM ,Reddit ,eWoM Power ,post lifespan ,post lifetime ,post profiling ,post categorization ,Computer Science Applications ,Information Systems ,Management Information Systems - Abstract
Electronic Word of Mouth (eWoM) has been largely studied for social platforms, such as Yelp and TripAdvisor, which are highly investigated in the context of digital marketing. However, it can also have interesting applications in other contexts. Therefore, it can be challenging to investigate this phenomenon on generic social platforms, such as Facebook, Twitter, and Reddit. In the past literature, many authors analyzed eWoM on Facebook and Twitter, whereas it was little considered in Reddit. In this paper, we focused exactly on this last platform. In particular, we first propose a model for representing and evaluating the eWoM Power of Reddit posts. Then, we illustrate two possible applications, namely the definition of lifespan templates and the construction of profiles for Reddit posts. Lifespan templates and profiles are ultimately orthogonal to each other and can be jointly employed in several applications.
- Published
- 2023