Designing Bot Action Triggers for Information Curation on Twitter: Lexical Semantics, Social Tagging, and Query Expansion



Bots are widespread on social media, yet little is known about how they curate information for dissemination. Action triggers, such as hashtagged words, play a crucial role in bot information curation, but their design is poorly understood. We draw on two research streams and the findings of a randomized field experiment on Twitter to investigate the impact of action triggers based on lexical semantics, social tagging, and query expansion on the volume, diversity, and relevance of information curated by bots. Our results show that social tagging is the most critical dimension of action triggers, while query expansion can contribute to curating diverse and relevant documents. Our study provides practical insights for bot design and enhances our understanding of bot information curation on social media.

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