https://github.com/andrefcruz/semeval2019-hyperpartisan-news

Our submission to the SemEval2019 shared task on Hyperpartisan News Detection.
https://github.com/andrefcruz/semeval2019-hyperpartisan-news

bias-detection semeval semeval-2019

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Our submission to the SemEval2019 shared task on Hyperpartisan News Detection.

• Host: GitHub
• URL: https://github.com/andrefcruz/semeval2019-hyperpartisan-news
• Owner: AndreFCruz
• Created: 2019-02-23T15:09:05.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2022-07-06T20:04:24.000Z (over 2 years ago)
• Last Synced: 2023-03-03T05:51:17.598Z (almost 2 years ago)
• Topics: bias-detection, semeval, semeval-2019
• Language: Python
• Homepage:
• Size: 388 KB
• Stars: 8
• Watchers: 3
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# SemEval2019 Task 4 - Hyperpartisan News Detection

* Team's name: Fearnando-Pessa.

* Task overview: [https://pan.webis.de/semeval19/semeval19-web/index.html](https://pan.webis.de/semeval19/semeval19-web/index.html)

* Leaderboard: [https://pan.webis.de/semeval19/semeval19-web/leaderboard.html](https://pan.webis.de/semeval19/semeval19-web/leaderboard.html)

## Task

Given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person.

## System's Performance

| **_Model_**                     | Accuracy | Precision | Recall | F1   |

|---------------------------------|:--------:|:---------:|:------:|:----:|

| Random Forest (_Official_)      | 71.7     | 80.6      | 57.0   | 66.8 |

| Gradient Boosted Trees (_Best_) | 72.9     | 78.1      | 63.7   | 70.2 |

| Baseline                        | 46.2     | 46.0      | 44.3   | 45.1 |

## Team Members

* André Cruz

* Gil Rocha

* Rui Sousa-Silva

* Henrique Lopes Cardoso

## Citation

```

@inproceedings{cruz-etal-2019-team,

    title = "Team Fernando-Pessa at {S}em{E}val-2019 Task 4: Back to Basics in Hyperpartisan News Detection",

    author = "Cruz, Andr{\'e}  and

      Rocha, Gil  and

      Sousa-Silva, Rui  and

      Lopes Cardoso, Henrique",

    booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",

    month = jun,

    year = "2019",

    address = "Minneapolis, Minnesota, USA",

    publisher = "Association for Computational Linguistics",

    url = "https://www.aclweb.org/anthology/S19-2173",

    doi = "10.18653/v1/S19-2173",

    pages = "999--1003",

}

```