In this paper, we investigate whether, and to what extent, UK newspapers exhibited image-based bias in their portrayal of politicians during the 2016 Brexit referendum, potentially shaping public perceptions. We use computer vision and machine learning techniques to first, identify the faces of politicians and assess the emotional content conveyed through their expressions and second, to measure the contextual sentiment of the overall image, including elements such as background, objects, and

Tag-uri: Referendum