1. Framing Theory: Framing Theory is a theoretical framework for media research, which refers to a strategy or way of thinking when interpreting and presenting events or issues. Framing theory suggests that the media contextualize an event or issue by selecting and emphasizing specific perspectives, vocabulary, message sequences, and other elements, and in doing so, influence the public's understanding of and attitude toward the event or issue. The objects of study of framing theory include news reports, political propaganda, and social issues.
2. Big Data: Big Data refers to the technologies and methods used to gain insights and discover trends and patterns by capturing, storing, and analyzing large, diverse data sets. Big Data technologies enable us to process and analyze large-scale data that is difficult to cope with by traditional data processing methods, thereby revealing the information and value hidden within. Big Data has a wide range of applications, including business decision-making, marketing, healthcare research, social sciences, and more.
3. New Media: New media refers to a form of information dissemination and communication utilizing information and communication technologies (e.g., the Internet, mobile devices, etc.). Compared with traditional media, new media is characterized by interactivity, immediacy, and multimedia, providing users with more opportunities to participate, create, and ****enjoy. Typical examples of new media include social media platforms, online news, and video sharing.
On the relationship between the three, it can be considered from the following two perspectives:
1. Framing Theory and New Media: the rise of new media provides a new research object and platform for framing theory. By analyzing content, discussions and topics on new media, researchers can understand how media and users construct and disseminate information, and how they influence public perceptions and attitudes toward events or issues. At the same time, new media provide more ways for the public to access and engage with information, making the diversity of frames and the complexity of arguments more pronounced.
2. Big data and new media: the massive amount of data generated by new media platforms provides a rich resource for big data analysis. By analyzing users' behaviors, remarks and concerns on social media platforms, it is possible to gain insights into the public's interests, emotions and opinions. At the same time, big data technology can also help new media platforms provide personalized content recommendations and fine-tuned ad targeting to enhance user experience and results.
In summary, there is a mutual influence and interaction between frame theory, big data and new media, which ****together build a new pattern of media and society.