Web 2.0背景下人们可以方便地在网上发布或转发信息,这使得谣言开始在网络上大范围流传,网络成为谣言发生的重灾区。网络谣言传播可分为网络谣言的生成和传播两个阶段,网络谣言能够大范围传播关键在于受众对谣言信息再传播,是什么因素...Web 2.0背景下人们可以方便地在网上发布或转发信息,这使得谣言开始在网络上大范围流传,网络成为谣言发生的重灾区。网络谣言传播可分为网络谣言的生成和传播两个阶段,网络谣言能够大范围传播关键在于受众对谣言信息再传播,是什么因素在影响受众的再传播行为。本文基于SOR模式,从信息内容特性、传播者特性和信息受众个体特性三个方面构建了网络谣言对受众再传播行为影响的机理模型。展开更多
Rumors are a type of false information, a consequence of an asymmetrical informational structure. This paper focuses on the social mechanisms of rumor fulfilling. Rumors with important contents related to people’s pe...Rumors are a type of false information, a consequence of an asymmetrical informational structure. This paper focuses on the social mechanisms of rumor fulfilling. Rumors with important contents related to people’s personal interests win acceptance through changing people’s expected payoffs, misleading people to the belief that acceptance of the rumor would beneficially outperform rejection of it. Nevertheless, it is risky to believe rumors; therefore, people make their decision whether to believe a rumor or not by referring to other people’s choices. An analysis was performed first within a game model that incorporated the variables of an individual’s expectancy and other people’s impact to predict whether the individual would accept or reject a rumor. Another analysis followed to further examine the functions of some dynamic mechanisms in rumor fulfilling when group pressure and network effects were introduced. Finally, an exploratory discussion on how to prevent rumors and erase their effects via information management strategies was presented.展开更多
文摘Rumors are a type of false information, a consequence of an asymmetrical informational structure. This paper focuses on the social mechanisms of rumor fulfilling. Rumors with important contents related to people’s personal interests win acceptance through changing people’s expected payoffs, misleading people to the belief that acceptance of the rumor would beneficially outperform rejection of it. Nevertheless, it is risky to believe rumors; therefore, people make their decision whether to believe a rumor or not by referring to other people’s choices. An analysis was performed first within a game model that incorporated the variables of an individual’s expectancy and other people’s impact to predict whether the individual would accept or reject a rumor. Another analysis followed to further examine the functions of some dynamic mechanisms in rumor fulfilling when group pressure and network effects were introduced. Finally, an exploratory discussion on how to prevent rumors and erase their effects via information management strategies was presented.
