{"title":"The algorithm made me visit","authors":"Emmanouil Taxiarchis Gazilas","doi":"10.1016/j.annals.2025.104007","DOIUrl":null,"url":null,"abstract":"<div><div>This research note introduces algorithmic co-agency and the Algorithmic Co-Influence Index, a new framework for assessing how digital platforms shape tourist decisions. The index quantifies influence across three dimensions: input dependence (inspiration), interaction dynamics (engagement), and outcome alignment (adoption). Using a brief questionnaire, scores can be computed to evaluate the degree of platform mediation. Practical examples illustrate how tourist behavior is co-produced by human intention and algorithmic design. The Algorithmic Co-Influence Index offers a replicable, scalable method for tourism researchers to measure the behavioral effects of platform logic. It provides a new lens for understanding how platforms like TikTok, Google Maps, and Airbnb shape visibility and tourist autonomy.</div></div>","PeriodicalId":48452,"journal":{"name":"Annals of Tourism Research","volume":"114 ","pages":"Article 104007"},"PeriodicalIF":7.8000,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Tourism Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160738325001136","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
This research note introduces algorithmic co-agency and the Algorithmic Co-Influence Index, a new framework for assessing how digital platforms shape tourist decisions. The index quantifies influence across three dimensions: input dependence (inspiration), interaction dynamics (engagement), and outcome alignment (adoption). Using a brief questionnaire, scores can be computed to evaluate the degree of platform mediation. Practical examples illustrate how tourist behavior is co-produced by human intention and algorithmic design. The Algorithmic Co-Influence Index offers a replicable, scalable method for tourism researchers to measure the behavioral effects of platform logic. It provides a new lens for understanding how platforms like TikTok, Google Maps, and Airbnb shape visibility and tourist autonomy.
期刊介绍:
The Annals of Tourism Research is a scholarly journal that focuses on academic perspectives related to tourism. The journal defines tourism as a global economic activity that involves travel behavior, management and marketing activities of service industries catering to consumer demand, the effects of tourism on communities, and policy and governance at local, national, and international levels. While the journal aims to strike a balance between theory and application, its primary focus is on developing theoretical constructs that bridge the gap between business and the social and behavioral sciences. The disciplinary areas covered in the journal include, but are not limited to, service industries management, marketing science, consumer marketing, decision-making and behavior, business ethics, economics and forecasting, environment, geography and development, education and knowledge development, political science and administration, consumer-focused psychology, and anthropology and sociology.