Navigating News Narratives: A Media Bias Analysis Dataset
–arXiv.org Artificial Intelligence
In an era where information is ubiquitous, the news media's role expands beyond mere reporting; it actively constructs and frames public discourse[Raza and Ding, 2022]. The power of the media to influence perception and decision-making cannot be understated, especially in a world where news is consumed in real-time from a number of sources[Raza, 2021]. Traditional notions of media as impartial observers are giving way to a more critical understanding of its participatory role in shaping socio-political narratives. The dataset introduced in this research represents a crucial step in addressing the multifaceted nature of news media bias. This data includes a wide array of dimensions such as race, gender, age, occupation, and climate change. The dataset provides a holistic tool for showing the complex interplay of factors that characterize contemporary news media. This approach acknowledges that biases in media are not monolithic but are instead a confluence of various underlying factors, each contributing to the overarching narrative in its unique way [Lei et al., 2022]. This expansive scope is particularly important given the current global landscape, where issues of racial and gender equality, climate change, and political polarization are at the forefront of public consciousness.
arXiv.org Artificial Intelligence
Dec-7-2023
- Country:
- Europe
- Ukraine (0.05)
- Netherlands (0.04)
- Asia > Middle East
- UAE > Abu Dhabi Emirate > Abu Dhabi (0.04)
- Europe
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- Research Report (0.40)
- Industry:
- Media > News (1.00)
- Law > Civil Rights & Constitutional Law (1.00)
- Government (1.00)
- Health & Medicine > Therapeutic Area
- Immunology (0.48)
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