Summary of Richer Output For Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations, by Kirti Bhagat et al.
Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations
by Kirti Bhagat, Kinshuk Vasisht, Danish Pruthi
First submitted to arxiv on: 11 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Large language models have been found to encode biases towards various characteristics such as gender, race, occupation, and religion. However, a significantly lesser explored area is the impact of geographical knowledge on real-world applications. This study examines the effects of large language models’ encoded geographical knowledge on two scenarios: travel recommendations and geo-anchored story generation. Five popular language models were studied across approximately 100K travel requests and 200K story generations. The results show that travel recommendations for poorer countries are less unique, with fewer location references, while stories from these regions tend to convey emotions of hardship and sadness compared to those from wealthier nations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large language models can be biased against different characteristics like gender, race, and more. But did you know that they also have geographical biases? This means they might not always give the best travel recommendations or write stories about certain places in a fair way. Researchers studied five popular language models to see how they handle two tasks: suggesting where to go on vacation and writing stories set in different places. They found out that when recommending trips, the models don’t provide as many unique location suggestions for poorer countries. Also, the stories written from these regions tend to be sad and convey hardship more often than those from wealthier nations. |
