
doi: 10.1002/jcpy.1227
We show that a decision of potential shamers to take part in (“share” and “retweet”) an online shaming campaign against alleged wrongdoers is shaped by two factors: the potential shamer’s level of adherence to the nonmaleficence principle (i.e., do no harm) and the wrongdoer identifiability (the extent to which a wrongdoer’s details are exposed). Each shaming campaign may promote social norms and prevention of similar harm (i.e., positive consequences) and yet at the same time create harm for the individual wrongdoer being shamed (i.e., negative consequences). We suggest that potential shamers with high adherence to the nonmaleficence principle are more likely to join a shaming campaign with a low‐identifiability wrongdoer compared to potential shamers with a low endorsement of the nonmaleficence principle. We term this phenomenon the Nonmaleficence in Shaming effect. Five studies consistently demonstrate this effect and its attenuation in the case of a shaming campaign with a high‐identifiability wrongdoer. We further show that what drives the effect is advancing the positive over the negative consequences of a shaming campaign. Our findings contribute to a better understanding of norm‐enforcement behavior in digital communications and the social media space.
| 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). | 12 | |
| 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. | Top 10% | |
| 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. | Top 10% |
