Model: matous-volf/political-leaning-politics
Author: matous-volf
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, roberta, 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:launch/POLITICS, base_model:finetune:launch/POLITICS, license:cc-by-nc-4.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: launch/POLITICS
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: launch/POLITICS
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: 0.64, label: center
score: 0.01, label: right
score: 0.35, example_title: Taxes 2
text: The government should cut taxes because it is not using them efficiently anyway.
output: label: left
score: 0.11, label: center
score: 0, label: right
score: 0.89, example_title: Abortion 1
text: Opting for abortion is an inalienable right of every individual.
output: label: left
score: 0.9, label: center
score: 0, label: right
score: 0.1, example_title: Abortion 2
text: Terminating a pregnancy is equivalent to committing homicide.
output: label: left
score: 0.48, label: center
score: 0.01, label: right
score: 0.51, 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: 0.99, label: center
score: 0, label: right
score: 0.01, 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: 0.11, label: center
score: 0, label: right
score: 0.89
model-index: name: political-leaning-politics
results: task: type: text-classification
name: text political leaning classification
dataset: type: -
name: Article bias prediction
metrics: type: f1
value: 84.6
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: BIGNEWSBLN
metrics: type: f1
value: 89.2
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: 85.1
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: Dem., rep. party platform topics
metrics: type: f1
value: 77.3
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: 84.2
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: 97.5
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: 91.1
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: 99.5
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: 76.2
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: 51
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: 9 | All-time downloads: 105517
Created: 2025-04-28 19:46:35