Please use this identifier to cite or link to this item:
https://doi.org/10.48441/4427.3699
| Publisher URL: | http://searchenginesandsociety.net/wp-content/uploads/2026/09/SEASON2026_paper_9.pdf https://searchenginesandsociety.net/season-2026/book-of-abstracts/ |
Title: | How users prompt generative search engines for news and political information : an empirical taxonomy | Language: | English | Authors: | Tsolak, Dorian Murray, Leona |
Other : | Search Engines and Society Network | Keywords: | Prompt Taxonomy; Search Engines; Generative Artificial Intelligence | Issue Date: | 2026 | Publisher: | Search Engines and Society Network | Conference: | The Search Engines and Society Network Annual Conference 2026 | URI: | https://hdl.handle.net/20.500.12738/19973 | DOI: | 10.48441/4427.3699 | Review status: | This version was peer reviewed (peer review) | Institute: | Landesanstalt für Medien Nordrhein-Westfalen Universität Münster |
Type: | Chapter/Article (Proceedings) |
| Appears in Collections: | Publications with full text |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| SEASON2026_paper_9.pdf | 265.85 kB | Adobe PDF | View/Open |
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