[目的/意义]网络舆情治理关乎社会稳定和发展。新媒体环境的形成使得网络舆情变得更加复杂,大数据特征更加突出。因此,研究新媒体环境下网络舆情治理的大数据能力建设更加迫切。[方法/过程]通过对CNKI、万方、维普、百度学术、Web of Sc...[目的/意义]网络舆情治理关乎社会稳定和发展。新媒体环境的形成使得网络舆情变得更加复杂,大数据特征更加突出。因此,研究新媒体环境下网络舆情治理的大数据能力建设更加迫切。[方法/过程]通过对CNKI、万方、维普、百度学术、Web of Science、Emerald管理学期刊库和Springer Link进行相关研究检索,主要采用文献研究法,在对相关概念进行辨析后,探讨新媒体环境下网络舆情的新特点及建设大数据能力的必要性,最后提出建设新媒体环境下网络舆情治理大数据能力的思路。[结果/结论]发现网络舆情的大数据特征,如高增长、大规模在新媒体环境下得到加强,而且呈现出价值密度低、对抗性明显的新特点。并从舆情治理思维、舆情处理技术、人才培养体系以及舆情应急管理体系4个方面对大数据能力建设做了初步探讨,以期为相关研究提供借鉴,希冀助力网络舆情治理实践。展开更多
Digitalization is transforming governments across the globe. At the national level, down to regional and multiple departments in the public institutions, unprecedented change is occurring exponentially as a result of ...Digitalization is transforming governments across the globe. At the national level, down to regional and multiple departments in the public institutions, unprecedented change is occurring exponentially as a result of massive digitalization. Digitalization is compelling governments at all levels to embrace voluminous data and institute appropriate multi-channel platforms to support digital transformation. While this is the case, most governments have been caught unprepared thwarting maximum benefits spurred by digitalization. Inherently, the social media and e-participation tools for generating huge amount of data have convoluted most governments’ appetite in Big Data management. This situation is further compounded with the slow pace of adoption of these technological tools by citizens and the public sectors. For enhanced e-citizen satisfaction and engagement, as well as e-participation processes, public institutions need to promote engagement and collaboration. In view of advancing benefits to their citizens, public institutions need to institute appropriate measures to collect citizen’s data. The information collected is vital for public institutions in actualizing what services the citizens want. Using literature reviews and cases, the authors examine Big Data benefits in counties and propose a Big Data model to improve efficiency of e-governance services and productivity in county governments. The authors demonstrate Big Data framework has the aptitude of molding citizen’s opinion in county decision making process. Better use of e-technologies is shown in the proposed model which illustrates sharing resources among various data analytics sources. Our proposed framework based on Big Data analytics is a viable initiative to progress effectiveness and productivity, strengthen citizen engagement and participation and encourage decision-making in e-governance services delivery in the counties.展开更多
文摘[目的/意义]网络舆情治理关乎社会稳定和发展。新媒体环境的形成使得网络舆情变得更加复杂,大数据特征更加突出。因此,研究新媒体环境下网络舆情治理的大数据能力建设更加迫切。[方法/过程]通过对CNKI、万方、维普、百度学术、Web of Science、Emerald管理学期刊库和Springer Link进行相关研究检索,主要采用文献研究法,在对相关概念进行辨析后,探讨新媒体环境下网络舆情的新特点及建设大数据能力的必要性,最后提出建设新媒体环境下网络舆情治理大数据能力的思路。[结果/结论]发现网络舆情的大数据特征,如高增长、大规模在新媒体环境下得到加强,而且呈现出价值密度低、对抗性明显的新特点。并从舆情治理思维、舆情处理技术、人才培养体系以及舆情应急管理体系4个方面对大数据能力建设做了初步探讨,以期为相关研究提供借鉴,希冀助力网络舆情治理实践。
文摘Digitalization is transforming governments across the globe. At the national level, down to regional and multiple departments in the public institutions, unprecedented change is occurring exponentially as a result of massive digitalization. Digitalization is compelling governments at all levels to embrace voluminous data and institute appropriate multi-channel platforms to support digital transformation. While this is the case, most governments have been caught unprepared thwarting maximum benefits spurred by digitalization. Inherently, the social media and e-participation tools for generating huge amount of data have convoluted most governments’ appetite in Big Data management. This situation is further compounded with the slow pace of adoption of these technological tools by citizens and the public sectors. For enhanced e-citizen satisfaction and engagement, as well as e-participation processes, public institutions need to promote engagement and collaboration. In view of advancing benefits to their citizens, public institutions need to institute appropriate measures to collect citizen’s data. The information collected is vital for public institutions in actualizing what services the citizens want. Using literature reviews and cases, the authors examine Big Data benefits in counties and propose a Big Data model to improve efficiency of e-governance services and productivity in county governments. The authors demonstrate Big Data framework has the aptitude of molding citizen’s opinion in county decision making process. Better use of e-technologies is shown in the proposed model which illustrates sharing resources among various data analytics sources. Our proposed framework based on Big Data analytics is a viable initiative to progress effectiveness and productivity, strengthen citizen engagement and participation and encourage decision-making in e-governance services delivery in the counties.
