Publication: MBIC – A media bias annotation dataset including annotator characteristics
MBIC – A media bias annotation dataset including annotator characteristics
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Spinde, T., Rudnitckaia, L., Sinha, K., Hamborg, F., Gipp, B., & Donnay, K. (2021). MBIC – A media bias annotation dataset including annotator characteristics. online. https://www.ideals.illinois.edu/handle/2142/109680
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Many people consider news articles to be a reliable source of information on current events. However, due to the range of factors influencing news agencies, such coverage may not always be impartial. Media bias, or slanted news coverage, can have a substantial impact on public perception of events, and, accordingly, can potentially alter the beliefs and views of the public. The main data gap in current research on media bias detection is a robust, representative, and diverse dataset containing annotations of biased words and sentences
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Spinde, T., Rudnitckaia, L., Sinha, K., Hamborg, F., Gipp, B., & Donnay, K. (2021). MBIC – A media bias annotation dataset including annotator characteristics. online. https://www.ideals.illinois.edu/handle/2142/109680
