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The study employed a quantitative content analysis of stories (N = 1200) and photographs (N = 1200) to examine how U.S. digital-native and traditional news websites of different political orientations (right-leaning vs left-leaning) represented immigration in frames, topics and visual frames. Social media engagement was also analyzed to understand how people react to news content. Both in stories and images, left-leaning news websites focused more often on victimization, while right-leaning outlets emphasized threat. This trend was even more pronounced among digital-native news websites. Traditional left-leaning news sites generated the highest number of social media interactions.

atlantic journal of communication

News stories and images of immigration online: A quantitative analysis of digital-native and traditional news websites of different political orientations and social media engagement