Lees Jeffrey, Banas John A, Linvill Darren, Meirick Patrick C, Warren Patrick
John E. Walker Department of Economics, Clemson University, Clemson, SC 29634, USA.
Media Forensics Hub, Clemson University, Clemson, SC 29634, USA.
PNAS Nexus. 2023 Mar 22;2(4):pgad094. doi: 10.1093/pnasnexus/pgad094. eCollection 2023 Apr.
The proliferation of political mis/disinformation on social media has led many scholars to embrace "inoculation" techniques, where individuals are trained to identify the signs of low-veracity information prior to exposure. Coordinated information operations frequently spread mis/disinformation through inauthentic or "troll" accounts that appear to be trustworthy members to the targeted polity, as in Russia's attempts to influence the 2016 US presidential election. We experimentally tested the efficacy of inoculation against inauthentic online actors, using the , a free, online educational tool that teaches how to spot markers of inauthenticity. Inoculation works in this setting. Across an online US nationally representative sample ( = 2,847), which also oversampled older adults, we find that taking the (vs. playing a simple game) significantly increases participants' accuracy in identifying trolls among a set of Twitter accounts that are novel to participants. This inoculation also reduces participants' self-efficacy in identifying inauthentic accounts and reduced the perceived reliability of fake news headlines, although it had no effect on affective polarization. And while accuracy in the novel troll-spotting task is negatively associated with age and Republican party identification, the Quiz is equally effective on older adults and Republicans as it was on younger adults and Democrats. In the field, a convenience set of Twitter users who posted their results in the fall of 2020 ( = 505) reduced their rate of retweeting in the period after the , with no impact on original tweeting.
社交媒体上政治错误/虚假信息的激增促使许多学者采用“接种”技术,即让个体在接触低可信度信息之前接受培训,学会识别此类信息的特征。协调一致的信息行动经常通过看似值得信赖的虚假或“巨魔”账户传播错误/虚假信息,目标受众为特定政治实体,比如俄罗斯试图影响2016年美国总统大选。我们通过实验测试了针对虚假在线行为者的接种效果,使用了免费的在线教育工具“测验”,该工具教授如何识别虚假信息的特征。在这种情况下,接种是有效的。在一个具有美国全国代表性的在线样本(n = 2847)中,该样本还对老年人进行了过度抽样,我们发现参加“测验”(而非玩简单游戏)能显著提高参与者在一组对其来说全新的推特账户中识别巨魔的准确率。这种接种还降低了参与者识别虚假账户的自我效能感,并降低了对假新闻标题的感知可靠性,不过对情感极化没有影响。虽然在新的巨魔识别任务中的准确率与年龄和共和党身份认同呈负相关,但“测验”对老年人和共和党人的效果与对年轻人和民主党人的效果相同。在实际应用中,一组在2020年秋季公布其“测验”结果的便利抽样推特用户(n = 505)在参加“测验”后的一段时间内降低了他们的转发率,而对原创推文没有影响。