How resistant are implicit impressions of facial trustworthiness? When new evidence leads to durable updating

Learned trustworthiness does not have the same influence on implicit responses measured via fast periodic visual stimulation as face trustworthiness

Past research has demonstrated that it is possible to detect implicit responses to face trustworthiness using fast periodic visual stimulation (FPVS). Because people readily retrieve affective associations with faces, the current study investigated whether learned trustworthiness would yield similar responses to face trustworthiness as measured via FPVS. After learning to associate faces with untrustworthy or trustworthy behaviors, participants completed three separate tasks while electroencephalography (EEG) was recorded. In each of these tasks, participants viewed oddball sequences of faces where a single base face was presented repeatedly at a rate of 6 Hz and oddball faces with different identities were presented every fifth face (6 Hz/5 = 1.2 Hz). Providing evidence of learning, the oddball response at 1.2 Hz and its harmonics was stronger for the learned faces compared to novel faces over bilateral occipitotemporal cortex and beyond. In addition, reproducing previous findings with face trustworthiness, we observed a stronger response at 1.2 Hz and its harmonics for sequences with less trustworthy-looking versus trustworthy-looking oddball faces over bilateral occipitotemporal cortex and other sites. However, contrary to our predictions, we did not observe a significant influence of learned trustworthiness on the oddball response. These data indicate that impressions based on learning are treated differently than impressions based on appearance, and they raise questions about the types of design and stimuli that yield responses that are measurable via FPVS.

The Relation Between Updated Implicit Evaluations and the Trust Game

Recent work has shown that people can update their implicit evaluations based on facial trustworthiness. However, do these updated implicit evaluations map onto subsequent decisions? We examined whether implicit evaluations based on faces but updated in light of new behavioral evidence uniquely predict responses in the trust game. Across six studies ( N = 2,059), we measured participants’ initial implicit evaluations of a target based on the target’s face and then their updated implicit evaluations based on newly learned behavioral evidence. We then tested whether these updated implicit evaluations uniquely predicted (i.e., beyond explicit evaluations) responses in a hypothetical trust game. Although participants consistently based their initial evaluations on the face and updated their evaluations after learning new diagnostic information, their updated implicit evaluations did not uniquely predict their responses in the trust game. We discuss theoretical considerations in this article.

The influence of fake news on face-trait learning

Humans spontaneously attribute a wide range of traits to conspecifics based on their facial appearance. Unsurprisingly, previous findings indicate that this 'person evaluation' is affected by information provided about the target's past actions and behaviours. Strikingly, many news items shared on social media sites (e.g., Twitter) describe the actions of individuals who are often shown in accompanying images. This kind of material closely resembles that encountered by participants in previous studies of face-trait learning. We therefore sought to determine whether Twitter posts that pair facial images with favourable and unfavourable biographical information also modulate subsequent trait evaluation of the people depicted. We also assessed whether the effects of this information-valence manipulation were attenuated by the presence of the "disputed tag", introduced by Twitter as a means to combat the influence of fake-news. Across two preregistered experiments, we found that fictional tweets that paired facial images with details of the person's positive or negative actions affected the extent to which readers subsequently judged the faces depicted to be trustworthy. When the rating phase followed immediately after the study phase, the presence of the disputed tag attenuated the effect of the behavioural information (Experiment 1: N = 128; Mage = 34.06; 89 female, 36 male, 3 non-binary; 116 White British). However, when the rating phase was conducted after a 10-minute delay, the presence of the disputed tag had no significant effect (Experiment 2: N = 128; Mage = 29.12; 78 female, 44 male, 4 non-binary, 2 prefer not to say; 110 White British). Our findings suggest that disputed tags may have relatively little impact on the long-term face-trait learning that occurs via social media. As such, fake news stories may have considerable potential to shape users' person evaluation.

Cross-modal impression updating: Dynamic impression updating from face to voice and the other way around

Research has shown that faces and voices shape impression formation. Most studies have examined either the impact of faces and voices in isolation or the relative contribution of each source when presented simultaneously. However, only a few studies have questioned whether and how impressions formed via one source can be updated due to incremental information gathered from the alternative source. Yet, cross-modal impression updating is key to shed light on person perception. Thus, we tested whether positive and negative face- and voice-based impressions could be updated by inconsistent cross-modal information. In Experiment 1 (N = 130), we tested whether face-based impressions could be updated by (in)consistent voices. In Experiment 2 (N = 262), we compared face-to-voice and voice-to-face impression updating. In Experiment 3 (N = 242), we favoured a more direct comparison of the two types of stimuli (i.e., the co-occurrence of both cue types when the new information is revealed). Results showed that voices have the greatest updating impact and that the updating effect of faces was halved when voices co-occurred for a second time. We discussed these results as evidence of the dynamical evolution of cross-modal impressions.