本文選題：鄰避效應(yīng) + 環(huán)境群體性事件��； 參考：《情報(bào)雜志》2017年04期

【摘要】：[目的/意義]互聯(lián)網(wǎng)情境下的鄰避效應(yīng)容易發(fā)酵、激蕩而失序,研究網(wǎng)絡(luò)輿情演化機(jī)制有助于應(yīng)對環(huán)境集體抗?fàn)幙赡芤l(fā)的暴力沖突事態(tài)。[方法/過程]基于經(jīng)典的SIR傳染病模型,構(gòu)建"寧波鎮(zhèn)海反PX事件"的網(wǎng)絡(luò)輿情傳播的雙階段傳染病模型,對環(huán)境集體抗?fàn)巸呻A段的信息傳播機(jī)理加以對比分析。[結(jié)果/結(jié)論]政府處置不當(dāng)、衍生議題的引入以及微博、意見領(lǐng)袖與網(wǎng)民的非理性介入,促使以居民環(huán)境利益訴求為動(dòng)因的鄰避效應(yīng),轉(zhuǎn)化為包含有多元主體與官民沖突議題的環(huán)境群體性事件。環(huán)境群體抗?fàn)幍闹卫?應(yīng)針對不同階段的信息傳播機(jī)理,通過線上線下的雙重引導(dǎo),設(shè)計(jì)差異化的防控機(jī)制。
[Abstract]:Objective / significance: the neighborhood effect in the Internet is easy to ferment, agitated and out of order. The study of the evolution mechanism of network public opinion is helpful to deal with the violent conflict situation caused by the environmental collective protest. [methods] based on the classical SIR infectious disease model, the two-stage infectious disease model of "Ningbo Zhenhai anti-PX event" was constructed, and the mechanism of information transmission in the two stages of environmental collective protest was compared and analyzed. [results / conclusion] the improper handling of the government, the introduction of spin-off issues and the irrational involvement of Weibo, opinion leaders and Internet users have promoted the neighborhood avoidance effect driven by residents' environmental interests. It is transformed into an environmental group event with multiple subjects and conflicts between the government and the people. According to the mechanism of information dissemination in different stages, the mechanism of prevention and control of environmental groups should be designed through the dual guidance of both online and offline, and the mechanism of prevention and control of environmental groups should be designed in accordance with the mechanism of information dissemination in different stages.
【作者單位】： 重慶大學(xué)公共管理學(xué)院重慶大學(xué)公共經(jīng)濟(jì)與公共政策研究中心;
【基金】：國家自然科學(xué)基金項(xiàng)目“基于鄰避效應(yīng)涌現(xiàn)機(jī)制的環(huán)境群體性事件產(chǎn)生機(jī)理與治理研究”(編號:71573024)的階段性研究成果
【分類號】：G206;C912.63
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本文編號：1780988