Source of Publication
Australasian Journal of Information Systems
There is a growing academic interest on the dark side of engagement on social media and the role of user-generated content (UGC). The illicit trade of wildlife online is a major contributor to global species loss and, thus, strategies to reduce demand for wild species and consumer engagement in the market and are of paramount importance. We first conduct qualitative analyses on a large data set of UGC (n=14,729 words from 1060 comments from 12 Facebook groups) from a biodiversity hotspot, The Republic of Indonesia. We use automatic machine-learning lexical software to explore the discourse that occurs in comments of posts that promote behaviour change and demand reduction. Then, to examine the efficacy of these posts, we test an extended elaboration likelihood model to determine the nature of information processing that leads viewers to agree with wildlife conservation content. Our results show that motivation, opportunity and ability factors moderate the relationship between information processing and comment valence, as well as influencing whether comments indicate attitude change. This work extends the use of theory from information systems and marketing to conservation, and provides both conceptual and practical recommendations to encourage behaviour change and reduce the harmful effects of engagement.
Australasian Association for Information Systems (AAIS)
consumer engagement, ELM, MOA, UGC, wildlife trade
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Feddema, Kim; Harrigan, Paul; and Wang, Shasha, "The Dark Side of Social Media Engagement: An Analysis of User-Generated Content in Online Wildlife Trade Communities" (2021). All Works. 4394.
Indexed in Scopus
Open Access Type
Gold: This publication is openly available in an open access journal/series