Social media, the modern public square, is vulnerable to manipulation. By controlling inauthentic accounts impersonating humans, malicious actors can amplify disinformation within target communities. The consequences of such operations are difficult to evaluate due to the ethical challenges posed by experiments that would influence online communities. Here we use a social media model that simulates information diffusion in an empirical network to quantify the impacts of adversarial manipulation tactics on the quality of content. We find that social media features such as high information load, limited attention, and the presence of influentials exacerbate the vulnerabilities of online communities. Infiltrating a community is the most harmful tactic that bad actors can exploit and the most likely to make low-quality content go viral. The harm is further compounded by inauthentic agents flooding the network with engaging low-quality content, but is mitigated when influential or vulnerable individuals are targeted. These insights suggest countermeasures that platforms could employ to increase the resilience of social media users to manipulation.
翻译:社交媒体是现代公共广场,很容易被操纵。通过控制假冒人类的不真实账户,恶意行为者可以扩大目标社区内部的虚假信息。由于对在线社区产生影响的实验所带来的道德挑战,这类行动的后果难以评估。在这里,我们使用一个社交媒体模型,模拟信息在经验网络中传播,以量化对抗性操纵策略对内容质量的影响。我们发现社交媒体的特征,如信息负荷高、关注有限和有影响力者的存在,加剧了在线社区的脆弱性。渗透社区是不良行为者能够利用的最有害策略,最有可能使低质量内容传播到病毒中去。这种伤害还由于不真实的媒介充斥着低质量内容的网络而进一步加剧,但当有影响力或弱势的个人成为目标时则会减轻。这些见解表明,平台可以采取对策,提高社交媒体用户的适应能力。