School of Social Sciences, University of Westminster, London, United Kingdom.
PLoS One. 2020 Oct 7;15(10):e0239666. doi: 10.1371/journal.pone.0239666. eCollection 2020.
Individuals who encounter false information on social media may actively spread it further, by sharing or otherwise engaging with it. Much of the spread of disinformation can thus be attributed to human action. Four studies (total N = 2,634) explored the effect of message attributes (authoritativeness of source, consensus indicators), viewer characteristics (digital literacy, personality, and demographic variables) and their interaction (consistency between message and recipient beliefs) on self-reported likelihood of spreading examples of disinformation. Participants also reported whether they had shared real-world disinformation in the past. Reported likelihood of sharing was not influenced by authoritativeness of the source of the material, nor indicators of how many other people had previously engaged with it. Participants' level of digital literacy had little effect on their responses. The people reporting the greatest likelihood of sharing disinformation were those who thought it likely to be true, or who had pre-existing attitudes consistent with it. They were likely to have previous familiarity with the materials. Across the four studies, personality (lower Agreeableness and Conscientiousness, higher Extraversion and Neuroticism) and demographic variables (male gender, lower age and lower education) were weakly and inconsistently associated with self-reported likelihood of sharing. These findings have implications for strategies more or less likely to work in countering disinformation in social media.
个人在社交媒体上遇到虚假信息后,可能会通过分享或其他方式进一步传播这些信息。因此,大量的虚假信息传播可以归因于人类的行为。四项研究(总计 N = 2634)探讨了信息属性(来源的权威性、共识指标)、观众特征(数字素养、个性和人口统计学变量)及其相互作用(信息与接收者信念之间的一致性)对自我报告传播虚假信息可能性的影响。参与者还报告了他们过去是否分享过现实世界中的虚假信息。报告的分享可能性不受信息来源权威性的影响,也不受有多少其他人之前参与过该信息的指标影响。参与者的数字素养水平对他们的反应影响不大。那些认为虚假信息很可能是真实的,或者与虚假信息态度一致的人,最有可能分享虚假信息。他们可能以前就熟悉这些材料。在这四项研究中,人格(较低的宜人性和尽责性,较高的外向性和神经质)和人口统计学变量(男性性别、较低的年龄和较低的教育水平)与自我报告的分享可能性弱相关且不一致。这些发现对社交媒体中对抗虚假信息的策略的有效性具有一定的启示意义。