In recent decades, activists and leaders of government and nongovernment organizations have increasingly and explicitly called for greater attention to human dignity in their efforts to promote pro-social relations. In this study, we investigate whether appeals to this core human value actually influence how individuals act with regard to those who might be otherwise ignored or neglected. Using the digital advertising platform on Facebook, we randomly assign ads to over 90,000 adult American users to estimate the effects of dignity appeals on their likelihood of engaging with content concerning people facing homelessness or incarceration. Consistent with preregistered hypotheses and specifications, we find that adding dignity appeals increases the likelihood of positive reactions to such ads, but only when the vulnerable are considered less “blameworthy” for their situation.

There is a severe mental health crisis among graduate students in political science. We present findings from an original survey on the mental health of political science PhD students at seven US universities. Our results are concerning: 15.8% expressed thoughts of suicide in the two weeks prior to taking the survey. About 30% of respondents met the criteria for depression and only a third of those were receiving treatment. Approximately 32% met the criteria for anxiety and fewer than half were receiving treatment. We also found that students with poorer mental health were more isolated, had fewer friends in their department and fewer people to turn to for help, and were more likely to contemplate dropping out of their program. Our study raises important questions about the experiences of graduate students during the PhD program and serves as an urgent call to action to address the well-being of our colleagues.

Internet-based surveys have expanded public opinion data collection at the expense of monitoring respondent attentiveness, potentially compromising data quality. Researchers now have to evaluate attentiveness ex-post. We propose a new proxy for attentiveness—response-time attentiveness clustering (RTAC)—that uses dimension reduction and an unsupervised clustering algorithm to leverage variation in response time between respondents and across questions. We advance the literature theoretically arguing that the existing dichotomous classification of respondents as fast or attentive is insufficient and neglects slow and inattentive respondents. We validate our theoretical classification and empirical strategy against commonly used proxies for survey attentiveness. In contrast to other methods for capturing attentiveness, RTAC allows researchers to collect attentiveness data unobtrusively without sacrificing space on the survey instrument.