Reda Tamtam
Biographic Data
| ID | 5089033 |
|---|---|
| NAME | Reda Tamtam |
| GIVEN NAMES | Reda |
| FAMILY NAME | Tamtam |
| SIGNATURE | TAMTAM R |
| AFFILIATIONS | Department of Political and Social Sciences, European University Institute Princeton University |
| ORCID | 0009-0005-0548-0992 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Mapping (A)Ideology: A Taxonomy of European Parties Using Generative LLMs as Zero-Shot Learners
We perform the first mapping of the ideological positions of European parties using generative Artificial Intelligence (AI) as a “zero-shot” learner. We ask OpenAI’s Generative Pre-trained Transformer 3.5 (GPT-3.5) to identify the more “right-wing” option across all possible duplets of European parties at a given point in time, solely based on their names and country of origin, and combine this information via a Bradley–Terry model to create an i…
Mapping (A)Ideology: A Taxonomy of European Parties Using Generative LLMs as Zero-Shot Learners
We perform the first mapping of the ideological positions of European parties using generative Artificial Intelligence (AI) as a “zero-shot” learner. We ask OpenAI’s Generative Pre-trained Transformer 3.5 (GPT-3.5) to identify the more “right-wing” option across all possible duplets of European parties at a given point in time, solely based on their names and country of origin, and combine this information via a Bradley–Terry model to create an i…
Mapping (A)Ideology: A Taxonomy of European Parties Using Generative LLMs as Zero-Shot Learners
We perform the first mapping of the ideological positions of European parties using generative Artificial Intelligence (AI) as a “zero-shot” learner. We ask OpenAI’s Generative Pre-trained Transformer 3.5 (GPT-3.5) to identify the more “right-wing” option across all possible duplets of European parties at a given point in time, solely based on their names and country of origin, and combine this information via a Bradley–Terry model to create an i…
Artificial Intelligence (1 works) · Biology (1 works) · Chemistry (1 works) · Computational and Text Analysis Methods (1 works) · Computer Science (1 works) · Ecology (1 works) · Electoral Systems and Political Participation (1 works) · Generative grammar (1 works) · Ideology (1 works) · Law (1 works)