RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation (2024.findings-acl)
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| Challenge: | Existing studies show that the wording of tweets can significantly impact popularity, reflected by user replies, retweets, and likes. |
| Approach: | They propose a novel approach to generate popular quote tweets by leveraging augmented auto-responses from readers to align language generation with popularity. |
| Outcome: | The proposed model outperforms existing models that do not incorporate response augmentation and can generate popular quote tweets with augmented auto-responses. |
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