用AI分析8万条游戏反应，发现可预测用户对单词游戏的幽默感。
Automatically Detecting Amusing Games in Wordle
- 用GPT-3.5少样本标注8万条Reddit游戏反应
- 提取游戏特征后，模型能弱预测用户幽默反应
- 揭示了游戏创意中可计算的幽默信号
我们研究如何自动预测Reddit用户认为哪些Wordle游戏有趣。从Reddit收集约8万条用户对Wordle游戏的反应，使用OpenAI的GPT-3.5通过少样本提示对反应进行分类，判断是否表达幽默，并验证其标签与人工标注基本一致。随后提取能预测用户幽默感的游戏特征。结果表明，这些特征确实能提供（弱）信号，预测基于GPT-3.5判断的用户幽默反应。研究显示，用户对Wordle游戏的幽默感可在一定程度上被计算预测。我们进一步分析哪些游戏特征影响幽默感知，发现幽默感可被量化，反映出游戏中融入的创造性趣味。
原文摘要 · Abstract (English)
We explore automatically predicting which Wordle games Reddit users find amusing. We scrape approximately 80k reactions by Reddit users to Wordle games from Reddit, classify the reactions as expressing amusement or not using OpenAI's GPT-3.5 using few-shot prompting, and verify that GPT-3.5's labels roughly correspond to human labels. We then extract features from Wordle games that can predict user amusement. We demonstrate that the features indeed provide a (weak) signal that predicts user amusement as predicted by GPT-3.5. Our results indicate that user amusement at Wordle games can be predicted computationally to some extent. We explore which features of the game contribute to user amusement. We find that user amusement is predictable, indicating a measurable aspect of creativity infused into Wordle games through humor.
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