Marta Miori
Biographic Data
| ID | 4468042 |
|---|---|
| NAME | Marta Miori |
| GIVEN NAMES | Marta |
| FAMILY NAME | Miori |
| SIGNATURE | MIORI M |
| AFFILIATIONS | University of Manchester |
| ORCID | 0000-0002-5202-9548 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Greater intra-party democracy in candidate selection has different effects on gender, ethnicity and class
The Most Disproportionate UK Election: How the Labour Party Doubled its Seat Share with a 1.6‐Point Increase in Vote Share in 2024
The Labour Party doubled its seats in the 2024 UK general election, winning a landslide majority with only a 1.6 point increase in its UK vote share and an historically low vote share for a winning party at just under 34 per cent. This article provides new evidence for three constituency‐level explanations for this outcome in the context of anti‐incumbent voting. First, the local race increased tactical voting between Labour and the Liberal Democ…
Do AIs know what the most important issue is? Using language models to code open-text social survey responses at scale
Can artificial intelligence accurately label open-text survey responses? We compare the accuracy of six large language models (LLMs) using a few-shot approach, three supervised learning algorithms (SVM, DistilRoBERTa, and a neural network trained on BERT embeddings), and a second human coder on the task of categorizing “most important issue” responses from the British Election Study Internet Panel into 50 categories. For the scenario where a rese…
Inside the ‘secret garden’: Candidate selection at the 2019 UK general election
Candidate selections are seen as the ‘secret garden’ of UK politics. Hundreds of parliamentary constituencies rarely change hands, meaning that the ‘real election’ is the incumbent party’s selection process. Yet scholarship into candidate selection in the United Kingdom remains limited. In this article, we build a novel dataset of known shortlisted candidates in winnable seats to offer the first cross-party analysis of who gets shortlisted, and w…
Do AIs know what the most important issue is? Using language models to code open-text social survey responses at scale
Can artificial intelligence accurately label open-text survey responses? We compare the accuracy of six large language models (LLMs) using a few-shot approach, three supervised learning algorithms (SVM, DistilRoBERTa, and a neural network trained on BERT embeddings), and a second human coder on the task of categorizing “most important issue” responses from the British Election Study Internet Panel into 50 categories. For the scenario where a rese…
Inside the ‘secret garden’: Candidate selection at the 2019 UK general election
Candidate selections are seen as the ‘secret garden’ of UK politics. Hundreds of parliamentary constituencies rarely change hands, meaning that the ‘real election’ is the incumbent party’s selection process. Yet scholarship into candidate selection in the United Kingdom remains limited. In this article, we build a novel dataset of known shortlisted candidates in winnable seats to offer the first cross-party analysis of who gets shortlisted, and w…
The Most Disproportionate UK Election: How the Labour Party Doubled its Seat Share with a 1.6‐Point Increase in Vote Share in 2024
The Labour Party doubled its seats in the 2024 UK general election, winning a landslide majority with only a 1.6 point increase in its UK vote share and an historically low vote share for a winning party at just under 34 per cent. This article provides new evidence for three constituency‐level explanations for this outcome in the context of anti‐incumbent voting. First, the local race increased tactical voting between Labour and the Liberal Democ…
Do AIs know what the most important issue is? Using language models to code open-text social survey responses at scale
Can artificial intelligence accurately label open-text survey responses? We compare the accuracy of six large language models (LLMs) using a few-shot approach, three supervised learning algorithms (SVM, DistilRoBERTa, and a neural network trained on BERT embeddings), and a second human coder on the task of categorizing “most important issue” responses from the British Election Study Internet Panel into 50 categories. For the scenario where a rese…
Inside the ‘secret garden’: Candidate selection at the 2019 UK general election
Candidate selections are seen as the ‘secret garden’ of UK politics. Hundreds of parliamentary constituencies rarely change hands, meaning that the ‘real election’ is the incumbent party’s selection process. Yet scholarship into candidate selection in the United Kingdom remains limited. In this article, we build a novel dataset of known shortlisted candidates in winnable seats to offer the first cross-party analysis of who gets shortlisted, and w…
The Most Disproportionate UK Election: How the Labour Party Doubled its Seat Share with a 1.6‐Point Increase in Vote Share in 2024
The Labour Party doubled its seats in the 2024 UK general election, winning a landslide majority with only a 1.6 point increase in its UK vote share and an historically low vote share for a winning party at just under 34 per cent. This article provides new evidence for three constituency‐level explanations for this outcome in the context of anti‐incumbent voting. First, the local race increased tactical voting between Labour and the Liberal Democ…
Greater intra-party democracy in candidate selection has different effects on gender, ethnicity and class
Electoral Systems and Political Participation (3 works) · Advertising (2 works) · Artificial Intelligence (2 works) · Business (2 works) · Computer Science (2 works) · Gender Politics and Representation (2 works) · Selection (genetic algorithm (2 works) · Artificial neural network (1 works) · Class (philosophy (1 works) · Code (set theory (1 works)