The effects of visual congruence on increasing consumers’ brand engagement: An empirical investigation of influencer marketing on instagram using deep-learning algorithms for automatic image classification-Reference-Cited by-同舟云学术

The effects of visual congruence on increasing consumers’ brand engagement: An empirical investigation of influencer marketing on instagram using deep-learning algorithms for automatic image classification

Published:2020-11 Issue: Volume:112 Page:106443
ISSN:0747-5632
Container-title:Computers in Human Behavior
language:en
Short-container-title:Computers in Human Behavior

Author:

Argyris Young Anna,Wang Zuhui,Kim Yongsuk,Yin Zhaozheng

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

General Psychology,Human-Computer Interaction,Arts and Humanities (miscellaneous)

Reference73 articles.

1. Visibility labour: Engaging with Influencers' fashion brands and #OOTD advertorial campaigns on Instagram;Abidin;Media International Australia,2016

2. Internet celebrity: Understanding fame online;Abidin,2018

3. Why Influencer marketing will explode in 2017;Agrawal,2016

4. A new look at the statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

5. The adoption of online shopping assistants: Perceived similarity as an antecedent to evaluative beliefs;Al-Natour;Journal of the Association for Information Systems,2011

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