{"title":"在线移民的新闻报道和图像:不同政治取向和社交媒体参与的数字原生和传统新闻网站的定量分析","authors":"Umberto Famulari, L. Major","doi":"10.1080/15456870.2022.2049794","DOIUrl":null,"url":null,"abstract":"ABSTRACT 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.","PeriodicalId":45354,"journal":{"name":"Atlantic Journal of Communication","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"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\",\"authors\":\"Umberto Famulari, L. Major\",\"doi\":\"10.1080/15456870.2022.2049794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT 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.\",\"PeriodicalId\":45354,\"journal\":{\"name\":\"Atlantic Journal of Communication\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atlantic Journal of Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/15456870.2022.2049794\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atlantic Journal of Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15456870.2022.2049794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMMUNICATION","Score":null,"Total":0}
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
ABSTRACT 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.
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