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Modeling, Evaluating, and Applying the eWoM Power of Reddit Posts

Authors :
Gianluca Bonifazi
Enrico Corradini
Domenico Ursino
Luca Virgili
Source :
Big Data and Cognitive Computing, Vol 7, Iss 1, p 47 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

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.

Details

Language :
English
ISSN :
25042289
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Big Data and Cognitive Computing
Publication Type :
Academic Journal
Accession number :
edsdoj.663780b30830459eaa69bca4cf1465b0
Document Type :
article
Full Text :
https://doi.org/10.3390/bdcc7010047