Authenticity Online: How Audiences Authenticate SMIs Who Organically Promote Destinations
Topics:
Keywords: authentication, culture, destination marketing, Large Language Model (LLM), social media influencers (SMIs)
Abstract Type: Virtual Paper Abstract
Authors:
Svetlana Stepchenkova University of Florida
Andrei Kirilenko University of Florida
Jing Yang Guizhou Vocational College of Culture and Tourism, Department of Tourism Management
Abstract
This study investigates how culturally different audiences authenticate social media influencers (SMIs) who promote destination culture, traditions, and heritage in an organic way. As a context, we selected online discussions of video content created by Li Ziqi, a famous Chinese SMI with millions of followers around the globe. We focused on two populations: Mainland Chinese users (the domestic audience on Weibo) and English-speaking foreigners (the international audience on YouTube). We examined such authentication aspects as otherizing, traditionalizing, nostalgia, and self-discovery via the way they are reflected in the comments to the four most iconic Li Ziqi videos. The method applied was the Large Language Model (LLM) with prompt engineering. We obtained evidence that authentication through otherizing and self-discovery is more prevalent among international audiences while traditionalizing and nostalgia are used more by domestic viewers. We discuss how SMIs who promote destinations using day-to-day life scenes and intimate content contribute to the positive image-building of a destination, which potentially can be leveraged by the DMOs in their marketing efforts
Authenticity Online: How Audiences Authenticate SMIs Who Organically Promote Destinations
Category
Virtual Paper Abstract
Description
Submitted By:
Svetlana Stepchenkova University of Florida
svetlana.step@hhp.ufl.edu
This abstract is part of a session: AI and Big Data in Tourism and Hospitality: social media, spatially distributed data and data mining