#研究分享#【当议程设置遇上大数据】

#研究分享#【当议程设置遇上大数据】过去传播学研究者使用调查和实验,不可避免遇到自我报告的数据失真的问题,现在数字方式的自我表现(如社交媒体)提供了直接的研究。大数据下的议程设置不像过去所理解的那样是个单向模式,事实上是个更为复杂的互动过程。大数据不仅能用来回答理论和假设,还可用来改进问题的阐述。http://www.looooker.com/archives/8332

images

论文标题:The Dynamics of Public Attention: Agenda-Setting Theory Meets Big Data

来源:Journal of Communication, doi:10.1111/jcom.12088

作者:W. Russell Neuman, Lauren Guggenheim, S. Mo Jang, & Soo Young Bae

摘要:Researchers have used surveys and experiments to better understand communication dynamics, but confront consistent distortion from self-report data. But now both digital exposure and resulting expressive behaviors (such as tweets) are potentially accessible for direct analysis with important ramifications for the formulation of communication theory. We utilize “big data” to explore attention and framing in the traditional and social media for 29 political issues during 2012. We find agenda setting for these issues is not a one-way pattern from traditional media to a mass audience, but rather a complex and dynamic interaction. Although the attentional dynamics of traditional and social media are correlated, evidence suggests that the rhythms of attention in each respond to a significant degree to different drummers.

It is still early in the exploration of big data to test and refine social science theory. Our methods may still be in development and standards for evaluating scholarship not yet mature. We have aspired to demonstrate that not only can big data be put to work to respond directly and decisively to important theories and hypotheses in public communication and media effects, but it can serve to refine how the questions themselves are formulated.

 

全文下载:Agenda-Setting Theory Meets Big Data


Comments are closed.



无觅相关文章插件