本文選題：肉制品網(wǎng)絡(luò)輿情 + 危機(jī)預(yù)警體系　； 參考：《華中師范大學(xué)》2014年碩士論文

【摘要】：當(dāng)前社會(huì)是一個(gè)數(shù)字化、信息化高度發(fā)達(dá)的社會(huì),人們通過網(wǎng)絡(luò)進(jìn)行信息傳遞變得越來越普遍。中國一共13億多人,其中,截止到2013年3月底,全國注冊(cè)微博賬戶有5.36億個(gè)。龐大的用戶群體、便利的信息溝通方式、快速的信息傳播速度、廣泛的信息影響力。微博在給人們信息傳播帶來方便快捷的同時(shí),也給企業(yè)負(fù)面信息的傳播帶來機(jī)會(huì)。肉制品是跟老百姓息息相關(guān)的農(nóng)產(chǎn)品,任何有關(guān)肉制品的食品安全問題的信息經(jīng)過微博的傳播就會(huì)對(duì)企業(yè)帶來絕大的社會(huì)輿論影響。為了幫助肉制品企業(yè)在面對(duì)網(wǎng)絡(luò)輿情過程中度過難關(guān),重樹公眾良好形象,有必要專門就肉制品企業(yè)做出肉制品企業(yè)的網(wǎng)絡(luò)輿情危機(jī)預(yù)警的體系,幫助相關(guān)企業(yè)發(fā)現(xiàn)輿情熱點(diǎn),做出預(yù)警和采取措施。 本文的研究思路主要可以分為五大步：第一步,介紹相關(guān)概念,界定微博傳播、網(wǎng)絡(luò)輿情危機(jī)、微博傳播與網(wǎng)絡(luò)輿情危機(jī)的關(guān)系,以及網(wǎng)絡(luò)預(yù)警預(yù)警的理論。第二步分析微博傳播下肉制品企業(yè)網(wǎng)絡(luò)輿情危機(jī)的概念內(nèi)涵、肉制品消費(fèi)中存在的問題、以及肉制品企業(yè)網(wǎng)絡(luò)輿情危機(jī)的原因。第三步,構(gòu)建構(gòu)建肉制品企業(yè)在微博傳播環(huán)境的預(yù)警指標(biāo)體系,把BP神經(jīng)網(wǎng)絡(luò)模型與指標(biāo)體系相結(jié)合,構(gòu)建數(shù)量模型,進(jìn)行微博環(huán)境下危機(jī)預(yù)警。第四步,用真實(shí)存在的XX肉制品企業(yè)應(yīng)對(duì)瘦肉精事件的過程進(jìn)行實(shí)證分析。第五步,提出微博傳播環(huán)境下,肉制品企業(yè)如何應(yīng)對(duì)網(wǎng)絡(luò)的危機(jī)預(yù)警和處理,以及反思本模型的不足之處。 本文的創(chuàng)新點(diǎn)有兩個(gè)： 1.在前人研究基礎(chǔ)上,利用定量統(tǒng)計(jì)和定性分析相結(jié)合的方法,構(gòu)建了基于微博環(huán)境下肉制品生產(chǎn)企業(yè)網(wǎng)絡(luò)輿情危機(jī)的預(yù)警的指標(biāo)體系,對(duì)網(wǎng)絡(luò)輿情危機(jī)預(yù)警指標(biāo)體系探索進(jìn)行了有意義的嘗試。 2.利用BP神經(jīng)網(wǎng)絡(luò)在肉制品生產(chǎn)企業(yè)網(wǎng)絡(luò)輿情危機(jī)預(yù)警指標(biāo)體系的基礎(chǔ)上,構(gòu)建網(wǎng)絡(luò)輿情危機(jī)預(yù)警模型,將人工網(wǎng)絡(luò)模型運(yùn)用到肉制品公司的網(wǎng)絡(luò)輿情領(lǐng)域,在應(yīng)用范圍上有所創(chuàng)新,擴(kuò)大了人工神經(jīng)網(wǎng)絡(luò)的利用范圍,進(jìn)一步探索了農(nóng)業(yè)信息化在輿情監(jiān)控方面的研究思路。肉制品企業(yè)輿情預(yù)警是輿情監(jiān)測(cè)的“溫度計(jì)”“晴雨表”,對(duì)保障企業(yè)健康穩(wěn)定發(fā)展具有重要意義。本文就肉制品企業(yè)的危機(jī)預(yù)警做出了一定的指標(biāo)體系研究、以及預(yù)警方法做出了有意思的探索,有一定的參考意義。
[Abstract]:Nowadays, the society is a highly developed society with digitization and information. It is becoming more and more common for people to transmit information through the network. China has more than 1.3 billion people, of whom 536 million registered Weibo accounts by the end of March 2013. Huge user group, convenient information communication mode, fast information dissemination speed, wide information influence. Weibo not only brings convenience and rapidity to people's information dissemination, but also brings opportunities for enterprises to spread negative information. Meat products are agricultural products which are closely related to the common people. Any information about the food safety of meat products will be spread through the Weibo will bring most of the public opinion to the enterprises. In order to help meat enterprises tide over difficulties in the process of network public opinion and rebuild a good public image, it is necessary for meat enterprises to make a warning system of network public opinion crisis for meat enterprises, to help related enterprises to find hot spots of public opinion. Make early warning and take measures. The research ideas of this paper can be divided into five major steps: the first step is to introduce the related concepts, define the Weibo communication, network public opinion crisis, the relationship between Weibo communication and network public opinion crisis, as well as the theory of network early warning. The second step is to analyze the concept connotation of the network public opinion crisis of meat products enterprises under the spread of Weibo, the problems existing in meat products consumption, and the reasons for the network public opinion crisis of meat products enterprises. The third step is to construct the early warning index system of meat products enterprise in Weibo environment, combine BP neural network model with index system, construct quantity model, and carry on crisis early warning under Weibo environment. The fourth step is to analyze the process of lean meatloin event with the real XX meat products enterprise. The fifth step, put forward how to deal with the network crisis early warning and management under the environment of Weibo communication, and reflect on the shortcomings of this model. There are two innovations in this paper: 1. On the basis of previous studies, the index system of network public opinion crisis in meat production enterprises based on Weibo is established by combining quantitative statistics and qualitative analysis. A meaningful attempt has been made to explore the early warning index system of network public opinion crisis. 2. On the basis of network public opinion crisis warning index system of meat production enterprise, BP neural network is used to construct network public opinion crisis early warning model, and artificial network model is applied to network public opinion field of meat company. The application scope is innovated, the application range of artificial neural network is expanded, and the research thinking of agricultural informatization in monitoring public opinion is further explored. The early warning of public opinion in meat enterprises is the thermometer and barometer of public opinion monitoring, which is of great significance to ensure the healthy and stable development of enterprises. This paper has made a certain index system research on the crisis early warning of meat products enterprise, and has made the interesting exploration as well as the early warning method, which has certain reference significance.
【學(xué)位授予單位】：華中師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP183;F426.82;F272.3

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