Likes, comments, and shares of marine organism imagery on Facebook.

ABSTRACT: Several calls to action urge scientists and science communicators to engage more with online communities. While these calls have been answered by a high percentage of scientists and science communicators online, it often remains unclear what are the best models for effective communication. Best practices and methods for online science communication can benefit from experimental and quantitative research addressing how and when users engage with online content. This study addresses with quantitative and predictive models a key question for the popular, but often-ignored in science communication, social media platform Facebook. Specifically, this study examines the impact of imagery through quantification of likes, comments, and shares on Facebook posts. Here, I show that a basic quantitativ

SUBMITTER: McClain CR 

PROVIDER: S-EPMC6486811 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature