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Dataset Details

News Sources

Our dataset includes articles from a broad range of reputable news organizations across the political and ideological spectrum, ensuring a comprehensive view of media bias:

  • Major U.S. News Outlets: CNN, Fox News, CBS News, ABC News, New York Times, Washington Post, USA Today, Wall Street Journal, AP News, Politico, New York Post, Forbes, Reuters, Bloomberg
  • Global & Alternative News Sources: BBC, Al Jazeera, PBS NewsHour, The Guardian, Newsmax, HuffPost, CNBC, C-SPAN, The Economist, Financial Times, Time, Newsweek, The Atlantic, The New Yorker, The Hill, ProPublica, Axios
  • Conservative & Progressive News Outlets: National Review, The Daily Beast, Daily Kos, Washington Examiner, The Federalist, OANN, Daily Caller, Breitbart
  • Canadian News Sources: CBC, Toronto Sun, Global News, The Globe and Mail, National Post

Date Range

The dataset spans from May 6, 2023 to September 6, 2024. Articles were collected using Python scripts incorporating feedparser, newspaper3k, and selenium to enable keyword-based searches, custom date ranges, deduplication of articles, and image downloads.

Key Features

  • Multi-source Scraping: Collects articles from diverse media outlets.
  • Keyword-based Search: Allows focused scraping on specific topics or terms.
  • Comprehensive Data Collection: Captures both text and images from articles.
  • Deduplication: Ensures only unique articles are included in the dataset.
  • Structured Output: Outputs data in CSV format for easy analysis and processing.

Dataset Schema

The dataset schema is designed for bias assessment and structured analysis of media content, including both textual and image data:

-- news_article_analysis (
    unique_id VARCHAR(255) PRIMARY KEY,
    outlet VARCHAR(255),
    headline TEXT,
    article_text TEXT,
    image_description TEXT,
    image BLOB,  
    date_published VARCHAR(255),
    source_url VARCHAR(255),
    canonical_link VARCHAR(255),
    new_categories TEXT,
    news_categories_confidence_scores TEXT,
    text_label VARCHAR(255),
    multimodal_label VARCHAR(255)
)

Access

Dataset Access

You can access the NewsMediaBias-Plus dataset via the following link:

NewsMediaBias-Plus Dataset on Hugging Face

Usage

To load the full dataset into your Python environment, use the following code:

from datasets import load_dataset

ds = load_dataset("vector-institute/newsmediabias-plus")
print(ds)  # Displays structure and splits
print(ds['train'][0])  # Access the first element of the train split
print(ds['train'][:5])  # Access the first five elements of the train split

The dataset is also available for download in Parquet format, along with the corresponding images, via Zenodo:

Download Parquet and Images

Zenodo Record

Sample Data

Article 1: Sex trafficking victim says Sen. Katie Britt telling her story during SOTU rebuttal is 'not fair' - CNN

  • Unique ID: 1098444910
  • Title: Sex trafficking victim says Sen. Katie Britt telling her story during SOTU rebuttal is 'not fair' - CNN
  • Text: CNN — The woman whose story Alabama Sen. Katie Britt appeared to have shared in the Republican response to the State of the Union as an example of President Joe Biden’s failed immigration policies told CNN she was trafficked before Biden’s presidency and said legislators lack empathy when using the issue of human trafficking for political purposes.

    "I hardly ever cooperate with politicians, because it seems to me that they only want an image. They only want a photo — and that to me is not fair," Karla Jacinto told CNN on Sunday.

  • Outlet: CNN
  • Source URL: CNN
  • Topics: 5_bipartisan, border, border deal, border policy, border wall
  • Date Published: 2024-03-10
  • Image Description:

    The image shows a person standing at a podium with a microphone, appearing to be giving a speech or presentation. The individual is wearing a pink blazer with a white shirt underneath. The background is indistinct but suggests an indoor setting with a wooden structure, possibly a room with a high ceiling. There are no visible logos, text, or other identifying features that provide context to the event or the person's identity.

  • Text Label: Unlikely
  • Text Bias Analysis:

    "failed immigration policies", "lack of empathy", "despicable", "almost entirely preventable"

  • Image Label: Unlikely
  • Image Analysis:

    The image alone does not provide enough context to analyze potential biases. The choice of the image could be influenced by the event's significance, the person's role, or the visual impact of the pink blazer. Without additional information, it is not possible to determine if the image is biased or Unbiased. The image does not appear to evoke strong emotions as it is a straightforward depiction of a person at a podium. There are no clear indications of stereotypes or oversimplification of complex issues in the image.

Article 2: LA’s graffiti-tagged skyscraper: a work of art – and symbol of city’s wider failings - The Guardian US

  • Unique ID: 1148232027
  • Title: LA’s graffiti-tagged skyscraper: a work of art – and symbol of city’s wider failings - The Guardian US
  • Text:

    An asparagus patch is how the architect Charles Moore described the lackluster skyline of downtown Los Angeles in the 1980s. "The tallest stalk and the shortest stalk are just alike, except that the tallest has shot farther out of the ground." This sprawling city of bungalows has never been known for the quality of its high-rise buildings, and not much has changed since Moore’s day. A 1950s ordinance dictating that every tower must have a flat roof was rescinded in 2014, spawning a handful of clumsy quiffs and crowns atop a fresh crop of swollen glass slabs. It only added further evidence to the notion that architects in this seismic city are probably better suited to staying on the ground.

  • Outlet: The Guardian US
  • Source URL: The Guardian US
  • Topics: affordable housing, public housing, homeowners, housing crisis
  • Date Published: 2024-03-17
  • Image Description:

    The image shows a tall, multi-story building with numerous windows. The building is covered in various graffiti tags and symbols, with words like 'READY', 'SHAKA', 'RAKM', 'TOOL', 'TOLT', 'KERZ', 'SMK', 'DZER', 'MSK', and 'OBER' prominently displayed. The building is situated in an urban environment with other structures visible in the background. The sky is clear, suggesting it might be daytime. The image is taken from a high angle, looking down on the building.

  • Text Label: Likely
  • Text Bias Analysis:

    "mind-numbingly generic glass boxes", "abandoned", "doing nothing", "if they ain’t gon finish the job", "This building has needed love for years", "the streets of LA are happy to make something out of it", "the developer had ceased paying"

  • Image Label: Likely
  • Image Analysis:

    The image and accompanying headline from The Guardian US suggest a critical perspective on the state of urban development and the impact of graffiti on architecture. The choice of this image may be intended to highlight the issue of urban decay and the lack of maintenance in certain areas. The graffiti tags could be seen as a form of artistic expression, but within the context of the headline, they are likely to be interpreted as a symbol of the city's wider failings. The image does not provide a balanced view, as it focuses on the negative aspects of the building's appearance. The framing of the image, with the building as the central focus and the surrounding environment in the background, may lead viewers to associate the building's condition with the overall state of the city.