
doi: 10.56296/aip00033
This special issue presents eleven cutting-edge articles examining psychological resilience against misinformation and conspiracy beliefs. The collection encompasses three major themes: (1) methodological advances, reflections, and reconciliation of conflicting findings, (2) intervention testing, and (3) investigation of information processing mechanisms. The methodological contributions include a meta-analysis exploring how different research approaches affect findings about misinformation sharing and personality traits, a systematic review reconciling research on source credibility’s influence, a critical analysis of intervention research challenges, and a framework for expanding methodological approaches beyond traditional experiments to assess causality. The intervention research presents strategies for scaling crowdsourcing interventions against partisan misinformation, examines inoculation effectiveness against pro-Russian disinformation, and investigates emotion-fallacy inoculation interventions. Studies on information processing include a meta-analytic review of intellectual humility’s relationship with misinformation receptivity, an analysis comparing reasoning patterns between believers and nonbelievers of implausible claims, an examination of how intellectual humility relates to response bias, and a comparison of different conspiracy belief interventions. These works collectively advance our understanding of methodological considerations, intervention effectiveness, and cognitive mechanisms underlying misinformation susceptibility, while providing crucial insights for developing evidence-based strategies to combat misinformation at both individual and societal levels.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
