Model: matous-volf/political-leaning-deberta-large
Author: matous-volf
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, deberta-v2, text-classification, text, politics, political, leaning, bias, politicalness, en, dataset:mlburnham/dem_rep_party_platform_topics, dataset:cajcodes/political-bias, dataset:JyotiNayak/political_ideologies, dataset:Jacobvs/PoliticalTweets, arxiv:2507.13913, base_model:microsoft/deberta-v3-large, base_model:finetune:microsoft/deberta-v3-large, license:cc-by-nc-4.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/deberta-v3-large
Card metadata: language: en
license: cc-by-nc-4.0
library_name: transformers
pipeline_tag: text-classification
tags: text, politics, political, leaning, bias, politicalness
base_model: microsoft/deberta-v3-large
datasets: mlburnham/dem_rep_party_platform_topics, cajcodes/political-bias, JyotiNayak/political_ideologies, Jacobvs/PoliticalTweets
widget: example_title: Taxes 1
text: The government should raise taxes on the rich so it can give more money to the homeless.
output: label: left
score: 1, label: center
score: 0, label: right
score: 0, example_title: Taxes 2
text: The government should cut taxes because it is not using them efficiently anyway.
output: label: left
score: 0, label: center
score: 0, label: right
score: 1, example_title: Abortion 1
text: Opting for abortion is an inalienable right of every individual.
output: label: left
score: 1, label: center
score: 0, label: right
score: 0, example_title: Abortion 2
text: Terminating a pregnancy is equivalent to committing homicide.
output: label: left
score: 0.42, label: center
score: 0, label: right
score: 0.58, example_title: Immigration 1
text: Mass detention of undocumented persons is an unjust practice that disproportionately harms vulnerable populations and must end.
output: label: left
score: 1, label: center
score: 0, label: right
score: 0, example_title: Immigration 2
text: Immigration must be strictly controlled to protect national security, as it increases the risk of terrorism.
output: label: left
score: 0, label: center
score: 0, label: right
score: 1
model-index: name: political-leaning-deberta-large
results: task: type: text-classification
name: text political leaning classification
dataset: type: -
name: Article bias prediction
metrics: type: f1
value: 89
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913, task: type: text-classification
name: text political leaning classification
dataset: type: -
name: BIGNEWSBLN
metrics: type: f1
value: 88.6
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913, task: type: text-classification
name: text political leaning classification
dataset: type: -
name: CommonCrawl news articles
metrics: type: f1
value: 88.9
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913, task: type: text-classification
name: text political leaning classification
dataset: type: -
name: Dem., rep. party platform topics
metrics: type: f1
value: 85.6
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913, task: type: text-classification
name: text political leaning classification
dataset: type: cajcodes/political-bias
name: GPT-4 political bias
metrics: type: f1
value: 86.9
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913, task: type: text-classification
name: text political leaning classification
dataset: type: JyotiNayak/political_ideologies
name: GPT-4 political ideologies
metrics: type: f1
value: 99.6
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913, task: type: text-classification
name: text political leaning classification
dataset: type: -
name: Media political stance
metrics: type: f1
value: 93.1
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913, task: type: text-classification
name: text political leaning classification
dataset: type: -
name: Political podcasts
metrics: type: f1
value: 99.8
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913, task: type: text-classification
name: text political leaning classification
dataset: type: Jacobvs/PoliticalTweets
name: Political tweets
metrics: type: f1
value: 82.1
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913, task: type: text-classification
name: text political leaning classification
dataset: type: -
name: Qbias
metrics: type: f1
value: 57.9
name: F1 score
args: average: weighted
verified: no
source: name: Political Leaning and Politicalness Classification of Texts
url: https://arxiv.org/abs/2507.13913
Likes: 3 | All-time downloads: 3409
Created: 2025-04-28 20:41:27