Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{177048,
author = {Rajshree and Tanya verma and Vaishnavi verma and Shilpa Tyagi},
title = {THE ROLE OF SOCIAL MEDIA IN DESTINATION SELECTION & CONTENT AUTHENTICITY VERIFICATION},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {12},
pages = {3401-3406},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=177048},
abstract = {In the digital age where social media is a big player in influencing masses, thinking, and action-to-be-adverse in millions of public that are being decrease for travel, tourism pressurize. Travelers tap into Instagram, YouTube, Facebook and Twitter to find new places, share experiences and access inspiration from travel influencers. For travelers looking for recommendations,[5] social media is the ultimate power to develop travel trends. Nevertheless, as is typical with content posted to social media the authenticity of the majority of the content is under scrutiny due to fake review now considered jaded and surfacing sponsored posts/influencer validation statements/ played images[4]. It erodes the confidence travellers have in these platforms to help them choose where to travel. Purpose of the Research. This study aims to investigate the role of social media in this decision making process of traveler and if influence of fake and misleading content. More specifically, it addresses how social media influencers and user generated content (blog posts, pictures) influence the perception of a destination. The research also investigates upcoming tech innovations combating the dangers of fake news, examining Artificial Intelligence (AI) and Block chain as a way to approve the authenticity of content[8]. Using the tools of primary surveys, secondary data findings and AI algorithms for detecting fake reviews; the research aimed at identifying whether or not these technologies act to antidote travel content credibility. Results of the research will be of profound importance to the future of travel marketing and compose a call to responsibility in regard with travelers as well content creators.},
keywords = {social media, destination selection, content authenticity, AI, Block chain, fake reviews},
month = {May},
}
Cite This Article
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry