What ChatGPT “Thinks” About Your Country? Sentiments and Frames of AI Geographies

Bibliographic Data

ID21837557
AuthorsIlan Manor (0000-0003-2039-3721, Ben-Gurion University of the Negev, corresponding author), Elad Segev (0000-0002-3969-8253, Tel Aviv University)
Year2025
Volume17
Issue3
Publication date2025-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolicy & Internet (JOURNAL)
Journal identifiersISSN: 1944-2866 • E-ISSN: 1944-2866
PublisherWiley (PUBLISHER • GB)
DOI10.1002/poi3.70013
OpenAlexW4413193267
LanguageEN
Citations received3
References cited43

What opinions are generated by AI algorithms about different countries? Is there a systematic difference in the opinions generated about each region? In this paper we developed a machine learning model to classify labeled and unlabeled datasets of opinions about countries generated by ChatGPT. We used semantic network analysis to map the positive and negative opinions associated with each country. We found that ChatGPT tends to produce positive opinions, emphasizing countries' ability to attract tourism and offer job opportunities. We also found that Western countries located in North America and Europe were often described as a shining example of functioning economies and therefore wonderful places to visit, work or live in. Conversely, poorer countries, particularly those in the Middle East and Africa, were more likely to be described as dysfunctional places, politically corrupt, and unsafe to visit. Overall, ChatGPT focused on the economic performance of countries, and their potential contribution to the global economy

Sociology · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · History · Human Mobility and Location-Based Analysis

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