Dataset Card for Media-Bias-Identification-Benchmark

Baseline

Languages

All datasets are in English

Dataset Structure

Data Instances

An example of one training instance looks as follows.

{
  "text": "A defense bill includes language that would require military hospitals to provide abortions on demand",
  "label": 1
}

Data Fields

• text : a sentence from various sources (eg., news articles, twitter, other social media).
• label : binary indicator of bias (0 = unbiased, 1 = biased)

Considerations for Using the Data

Social Impact of Dataset

We believe that MBIB offers a new common ground for research in the domain, especially given the rising amount of (research) attention directed toward media bias

Citation Information

@inproceedings{
    title = {Introducing MBIB - the first Media Bias Identification Benchmark Task and Dataset Collection},
    author = {Wessel, Martin and Spinde, Timo and Horych, Tomáš and Ruas, Terry and Aizawa, Akiko and Gipp, Bela},
    year = {2023},
    note = {[in review]}
}