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The Causes And Countermeasures Of Financial News Misunderstanding Under The Era Of Big Data

Posted on:2021-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:J Y LuoFull Text:PDF
GTID:2428330602476760Subject:Journalism and communication
Abstract/Summary:PDF Full Text Request
Since the founding of the first market newspaper by the People's Daily in 1979,which has opened the pattern of financial news media,it has more than 40 years of history.For decades,the financial media has followed the trend of the times,relying on technological changes to continuously change its acquisition,editing,and dissemination methods.The advent of the era of big data has provided new ways of working for all walks of life.Robot writing,data journalism,etc.have gradually replaced some traditional news editing models,especially financial news that relies on data.In the era of big data,while redefining the way of collecting,editing,and disseminating financial news,it has also brought various new troubles.Through research and investigation,this article finds that the status of fake financial news has not been completely improved because of the advent of the era of big data.In addition to solving the problems of insufficient data volume and partiality,such as excessive data volume,,The data is difficult to distinguish,the presentation is too difficult to understand and so on.This article focuses on the new problems of financial news misunderstanding in the era of big data,and highlights(1)how does financial news misrepresent in the era of big data?(2)What are the reasons for the misrepresentation of financial news in the era of big data?(3)What is the governance method for financial news in the era of big data?Three issues are analyzed in a targeted manner.This article collects cases from various parties,focuses on the performance of financial news in the era of big data on the data level,and highlights three points of data sources,data interpretation,and lack of accuracy.From the reasons of appearance analysis,this article draws the reasons of four aspects:content data,presentation method,communication channels and media literacy.From the perspective of content data,the complexity of data in the era of big data and the multiple channels for obtaining it are important reasons for misrepresentation.In terms of presentation methods,although the emergence of various chart news in the era of big data has enriched the visibility of news,it has also broughtmanmisunderstandings.The era of big data advocates all-media dissemination.Diversity of platforms and diversification of terminals can transmit information to every corner,and it is also easy to mix information with false and cause information to fail.Such all-media communication has also brought new opportunities for news rent-seeking,which has led to market chaos.To avoid false financial news in the era of big data,we can start from four aspects.The first is to consider technical aspects.As we strengthen the establishment of the proprietary database by the media,we must also strengthen data resources with other media or official websites and platforms.shared.The second is to standardize the media management system and supervise the work of each node in place.The third is to strengthen the professional training of practitioners,and universities and the media need to cooperate to achieve the corresponding delivery of talents.Fourth,all relevant organizations and departments in the society should contribute to fostering the public's ability to discern right from wrong.The above four measures can comprehensively achieve the management of the misrepresentation of financial news in the era of big data.
Keywords/Search Tags:big data, financial news, inconsistent with the fact
PDF Full Text Request
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