BibTex Citation Data :
@article{JSINBIS71812, author = {Mochammad Fahlevi and Zainur Romli and Dimvy Asetya and Mochamad Dandi}, title = {Assessing Public Reaction to Artificial Intelligence in Promoting Green Tourism and Infrastructure Initiatives in Indonesia's New Capital Nusantara}, journal = {Jurnal Sistem Informasi Bisnis}, volume = {15}, number = {2}, year = {2025}, keywords = {Public Reaction to AI; Green Tourism Marketing; Social Media Sentiment Analysis; AI-authored Advertising; Sustainability Communication}, abstract = { This study aims to answer these questions by examining the effectiveness of green tourism marketing strategies by the Indonesian government, utilizing social media platforms Instagram and X (formerly Twitter), and learning how the public perceives its initiative. We collected comments on government posts promoting green infrastructure and tourism and analyzed them using a mixed-method approach. Sentiments were divided into three categories: positive, neutral, and negative, using Natural Language Processing (NLP) techniques. The results reveal a general negative reception of AI-authored advertising messages, amounting to 64.18% disapproving comments for Instagram and 81.93% for X, both expressing suspicion toward the overuse of AI and lack of authenticity calling into question transparency as well as genuine intentions behind sustainability goals. While a few responders gave positive reviews, the fact that so many responses were bordering or fully negative indicates that there needs to be clearer and more genuine communication strategies. Our research helps illuminate how the public perceives aspects of green tourism marketing, thus underscoring the significance of authenticity in promotional practices designed for sustainable development. }, issn = {2502-2377}, pages = {179--184} doi = {10.14710/vol15iss2pp179-184}, url = {https://ejournal.undip.ac.id/index.php/jsinbis/article/view/71812} }
Refworks Citation Data :
This study aims to answer these questions by examining the effectiveness of green tourism marketing strategies by the Indonesian government, utilizing social media platforms Instagram and X (formerly Twitter), and learning how the public perceives its initiative. We collected comments on government posts promoting green infrastructure and tourism and analyzed them using a mixed-method approach. Sentiments were divided into three categories: positive, neutral, and negative, using Natural Language Processing (NLP) techniques. The results reveal a general negative reception of AI-authored advertising messages, amounting to 64.18% disapproving comments for Instagram and 81.93% for X, both expressing suspicion toward the overuse of AI and lack of authenticity calling into question transparency as well as genuine intentions behind sustainability goals. While a few responders gave positive reviews, the fact that so many responses were bordering or fully negative indicates that there needs to be clearer and more genuine communication strategies. Our research helps illuminate how the public perceives aspects of green tourism marketing, thus underscoring the significance of authenticity in promotional practices designed for sustainable development.
Article Metrics:
Last update:
Last update: 2025-06-14 03:59:24
Authors who submit the manuscripts to Journal JSINBIS must understand and agree that if the manuscript is accepted for publication, the copyright of the article belongs to JSINBIS and Diponegoro University as the journal publisher.
Copyright includes the exclusive right to reproduce and provide articles in all forms and media, including reprints, photographs, microfilm and any other similar reproductions, as well as translations. The author reserves the rights to the following:
JSINBIS and Diponegoro University and the Editors make every effort to ensure that no false or misleading data, opinions or statements are published in this journal. The content of articles published in JSINBIS is the sole and exclusive responsibility of the respective authors.
Copyright transfer agreement can be found here: [Copyright transfer agreement in doc] and [Copyright transfer agreement in pdf].
JSINBIS (Jurnal Sistem Informasi Bisnis) is published by the Magister of Information Systems, Post Graduate School Diponegoro University. It has e-ISSN: 2502-2377 dan p-ISSN: 2088-3587 . This is a National Journal accredited SINTA 2 by RISTEK DIKTI No. 48a/KPT/2017.
Journal JSINBIS which can be accessed online by http://ejournal.undip.ac.id/index.php/jsinbis is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats