Antoci Angelo, Delfino Alexia, Paglieri Fabio, Panebianco Fabrizio, Sabatini Fabio
Department of Economics and Management, University of Sassari, Sassari, Italy.
Department of Economics, London School of Economics and Political Science, London, United Kingdom.
PLoS One. 2016 Nov 1;11(11):e0164286. doi: 10.1371/journal.pone.0164286. eCollection 2016.
Evidence is growing that forms of incivility-e.g. aggressive and disrespectful behaviors, harassment, hate speech and outrageous claims-are spreading in the population of social networking sites' (SNS) users. Online social networks such as Facebook allow users to regularly interact with known and unknown others, who can behave either politely or rudely. This leads individuals not only to learn and adopt successful strategies for using the site, but also to condition their own behavior on that of others. Using a mean field approach, we define anevolutionary game framework to analyse the dynamics of civil and uncivil ways of interaction in online social networks and their consequences for collective welfare. Agents can choose to interact with others-politely or rudely-in SNS, or to opt out from online social networks to protect themselves from incivility. We find that, when the initial share of the population of polite users reaches a critical level, civility becomes generalized if its payoff increases more than that of incivility with the spreading of politeness in online interactions. Otherwise, the spreading of self-protective behaviors to cope with online incivility can lead the economyto non-socially optimal stationary states. JEL Codes: C61, C73, D85, O33, Z13. PsycINFO Codes: 2240, 2750.
越来越多的证据表明,不文明行为的形式,如攻击性和不尊重的行为、骚扰、仇恨言论和离谱的言论,正在社交网站(SNS)用户群体中蔓延。像脸书这样的在线社交网络允许用户定期与认识和不认识的其他人互动,这些人可能表现得礼貌或粗鲁。这不仅使个人学习并采用使用该网站的成功策略,还使他们根据他人的行为来调整自己的行为。我们使用平均场方法定义一个演化博弈框架,以分析在线社交网络中文明和不文明互动方式的动态及其对集体福利的影响。在社交网站中,主体可以选择礼貌或粗鲁地与他人互动,或者选择退出在线社交网络以保护自己免受不文明行为的影响。我们发现,当礼貌用户群体的初始比例达到临界水平时,如果随着在线互动中礼貌行为的传播,礼貌行为的收益增长超过不文明行为的收益增长,文明行为就会普遍化。否则,为应对在线不文明行为而出现的自我保护行为的传播可能会导致经济处于非社会最优的稳态。JEL分类代码:C61、C73、D85、O33、Z13。PsycINFO分类代码:2240、2750。