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Optimization Strategy For People's Livelihood Data Journalism

Posted on:2021-05-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y X LiFull Text:PDF
GTID:2428330605955062Subject:Journalism and Communication
Abstract/Summary:PDF Full Text Request
Data news is based on the results of data processing and analysis as the core of driving reporting logic.After data processing and analysis,it finds the news information hidden behind the data,finds the structural links behind the data,and uses it as the driving factor of the storytelling logic.The visual presentation is the main form of data journalism.It is an information dissemination method that makes full use of people's ability to quickly recognize images,and uses the visual ability of the human eye to visually express data to enhance cognition.After more than 40 years of reform and opening up in China,promoting economic construction has always been the direction of our efforts.While ensuring economic construction,the quality of life of our people has also been greatly improved.Topics related to people 's livelihood,such as health care,education,and housing issues.Proximity is one of the components of news value.The higher the relevance of news content to the audience,the more interested the audience is,and the greater the news value.Compared with other news,Minsheng News is more geographically and psychologically close to the audience,so the audience is more willing to accept the topic of the people's livelihood,and the data on the topics of health care,education and other topics included in the Minsheng News is also convenient to obtain both from official channels.There is data,which makes data news first originated in the people's livelihood news in China.Based on this situation,major domestic media have begun to try to apply data journalism to the practice of people's livelihood journalism,and study the data journalism of the people's livelihood.This not only provides traditional media with a development direction suitable for them,but also has a certain significance for the development of data journalism influences.Net Ease's "Digital Reading" column is positioned to "speak with data and provide a lightweight reading experience." It is the earliest media in China to develop a "Data News" column and is an unofficial representative of domestic data news.Xinhuanet was the first official website to establish a data news department in China,and launched a data news column in March 2013.It was the earliest batch of media news practice media in China.Xinhuanet 's “Data News” section takes “counting news,according to Jiaotianxia” as the concept,and visualizes abstract concepts,using infographics to convey the story behind the data,and “Number Asking People 's Livelihood” as Xinhuanet 's “Data News” section The topic selection section of the people's livelihood keeps an average of 3 to 4 updates every week.The data news of Net Ease and Xinhuanet are representative in China,so this study selected Netease's "Number Reading" column and Xinhuanet's "Data News" column as the main research objects.Comparing the channels and categories of the data sources of the livelihood data news of Net Ease "Number Reading" and Xinhuanet "Number Asking People's Livelihood";visual presentation and interactive methods,it was found that Xinhuanet's "Number Asking People's Livelihood" column was compared to Net Ease The “data reading” column has more data sources and wider perspectives,but there is still a certain gap when comparing with the foreign media 's access to information.In terms of presentation and interaction methods,domestic media mostly use static information maps to display people 's livelihoods.Data news,less interactive dynamic information graphs.Through the analysis of Net Ease's "Number Reading" and Xinhua's "Number Asking People's Livelihood",it can be seen that there is a single source of data and a lack of data self-collection awareness in our national livelihood data news reports;the visualization is mainly based on static information maps,and the interaction is not Strong;target audience is vague,audience positioning is inaccurate,and professional staff lacks professionalism,lack of follow-up talents and other issues.For the problems of domestic livelihood data news,we should learn from the excellent experience of data news at home and abroad,and present in data sources and visualization Optimizing domestic livelihood data news and interactive methods and segmenting audiences,focusing on the cultivation of talents for data reporters and editing engineers,and building a professional team of livelihood data news to ensure sufficient follow-up talents,while also targeting different audiences' reading behavior Break it down so that the news about people's livelihood can reach the best effect.
Keywords/Search Tags:Data Journalism, Livelihood Journalism, Data visualization
PDF Full Text Request
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