Search Conferences

Type in any word, words or author name. This searchs through the abstract title, keywords and abstract text and authors. You may search all conferences or just select one conference.

 All Conferences
 EMAC 2019 Annual Conference
 EMAC 2020 Annual Conference
 EMAC 2020 Regional Conference
 EMAC 2021 Annual Conference
 EMAC 2021 Regional Conference
 EMAC 2022 Annual
 EMAC 2022 Regional Conference
 EMAC 2023 Annual
 EMAC 2023 Regional Conference

EMAC 2020 Annual Conference

Predicting digital engagement on Instagram

Published: May 27, 2020


Lorenzo Vecchi, Pontifical Catholic University of ParanĂ¡, Curitiba Campus (PUCPR); Eliane Francisco-Maffezzolli, Pontifical Catholic University of ParanĂ¡, Curitiba Campus (PUCPR)


Engagement prediction; Artificial intelligence; Instagram


This work aimed to develop a method to predict the level of engagement of HEIs on Instagram with artificial intelligence. The final product, however, in addition to foresight, permeated ways to classify Instagram posts, analyze the relevance of using people for such feature extraction, and description of the patterns found by the program, due to the characteristic of being an interpretable machine-learning algorithm. The database used was collected from public images provided by one private Instagram HEI. The work has an exploratory character, despite having a step that aims to determine a possible causal relationship between the independent and dependent variables, whose final premise was the description and understanding of the patterns found. The results demonstrate the contribution that variables extracted by human perception may have, in addition to the different patterns learned for different engagement metrics.