| In the tide of technological revolution,the society enters the era of information incr ement and information storage.Massive information is transformed into data by digitiza tion.This traceable,open and shared data source leads to the theory and practice of com puting news.The traditional research paradigm has not been applicable to the study of c omputational news.Based on the dual-link of data cycle and value cycle,this paper prop oses a paradigm of data value cycle to comb the data value release path in news practice.Through the evaluation of data value,the research puts forward the corresponding stand ardization path of computing news data.This study used content analysis and participatory observation to examine three dat a news columns.From the four dimensions of news topic selection,data source attribute,data analysis type and visualization presentation,the paper draws a conclusion that data value dimension is facing four dilemmas in domestic data news production.Journalists lack awareness of data quality audit.The timeliness of data source is relatively backwar d,which weakens the news attribute.The analysis of the data presented a logical error t hat led to the inconsistency of the graphics and text.News that reinforces the power of d ata may ignore its original context.According to the research results,this study propose s a data normalization path for spatial,temporal and contextual dimensions.Computing news media must first strengthen the scientific verification of data,through multi-source channels,participatory collaboration and matching analysis to spread the overall truth o f news.The platform weakens the connection with the user and constructs the forgetting right mechanism to make the news attribute return.Finally,news should show humanist ic concern and restore news context.Algorithm designers can use privacy engineering a nd value-sensitive design to minimize harm to users. |
