Project

Bias by us

Nefeli Papakyriakopoulou

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Bias by us envisions a future of media diversity by understanding the bias of today.

Our work seeks to understand how the US media ecosystem reports on underrepresented minorities. By using natural language processing algorithms and data-intensive models, we aim to uncover underlying stereotypes, associations, and modes of narration that media produces and reproduces when covering minority related events. We perform a multi- and cross-platform analysis, capturing media dynamics on different social media platforms and traditional media outlets across the political spectrum. Besides understanding how media language portrays underrepresented minorities, we locate effects on and associations to political saliency and bias-motivated crime.

By understanding media bias and its effects on underrepresented minorities, we reflect on the conditions that can ensure a diverse and inclusive US media ecosystem.

Bias by us envisions a future of media diversity by understanding the bias of today.

Our work seeks to understand how the US media ecosystem reports on underrepresented minorities. By using natural language processing algorithms and data-intensive models, we aim to uncover underlying stereotypes, associations, and modes of narration that media produces and reproduces when covering minority related events. We perform a multi- and cross-platform analysis, capturing media dynamics on different social media platforms and traditional media outlets across the political spectrum. Besides understanding how media language portrays underrepresented minorities, we locate effects on and associations to political saliency and bias-motivated crime.

By understanding media bias and its effects on underrepresented minorities, we reflect on the conditions that can ensure a diverse and inclusive US media ecosystem.