Over the last decades, the use of explicit derogatory language (e.g., hate speech, slurs, micro-insults) has risen in many countries. We provide an overview on blatant language discrimination, including its psychological antecedents and consequences. After presenting a working definition of derogatory language and describing its prevalence, we discuss the social functions it serves and the role it plays in identity protection, in legitimizing group hierarchies, and in establishing and enforcing group norms. Drawing from both the socio-cognitive and discursive traditions in social psychology, it is argued that the language people are exposed to and the language they employ, shape the way they think and construct reality. We also consider two ways in which targeted groups may respond to derogatory language, specifically confrontation and reappropriation. Finally, we address challenges for future research, in particular the need for more cross disciplinary research to ebb the growing proliferation of hate speech on digital media which has become a global international concern.

The aim of the present study was to test an explanatory model for individual and social wellbeing which incorporates the advantages of using digital technologies during the COVID-19 pandemic. The study was carried out in Italy, one of the countries that has been most severely affected by the pandemic worldwide. The study was designed to include variables that might be specifically pertinent to the uniqueness of the restrictions imposed by the pandemic. Adults living in Italy (n = 1412) completed an online survey during the lockdown period in March 2020. Results showed two distinct digital interaction processes highlighted by the facilitating use of online emotions (“e-motions”) and online social support (“e-support”). In short, e-motions were positively related to posttraumatic growth, which in turn was positively associated with positive mental health and higher engagement in prosocial behaviors. Moreover, individuals who perceived themselves as having greater e-support were characterized by higher levels of positive mental health, which it turn was positively associated with prosocial behaviors. Collectively, these two digital interaction processes suggest that digital technologies appear to be critical resources in helping individuals cope with difficulties raised by the COVID-19 pandemic.

Ideological bias has been a relevant issue in social psychology for the past 50 years. The investigations of collective action (CA), in particular, have mainly focused on left-oriented movements, leading to a knowledge gap on the antecedents of conservative CA. Furthermore, common measures of CA are typically characterised by two methodological limits: the inability to discriminate participants who don’t engage in CA from those who would act towards opposite goals, and unawareness whether variables included in studies are affecting CA in both directions or one-sidedly. We developed and validated across five studies the Belief-aligned Collective Action scale (BCA). The BCA includes two factors, Normative and Non-normative Actions, presents good structural and construct validity, can be generalized to multiple topics, and was validated in English and Italian. This tool allows researchers to assess CA unbiasedly, contributing to the bridging of the ideological knowledge gap in the field of social psychology.

The spatial agency bias predicts that people whose native language is rightward written will predominantly envisage action along the same direction. Two mechanisms contribute jointly to this asymmetry: (a) an embodied process related to writing/reading; (b) a linguistic regularity according to which sentence subjects (typically the agent) tend to precede objects (typically the recipient). Here we test a novel hypothesis in relation to the second mechanism, namely, that this asymmetry will be most pronounced in languages with rigid word order. A preregistered study on 14 European languages (n = 420) varying in word order flexibility confirmed a rightward bias in drawings of interactions between two people (agent and recipient). This bias was weaker in more flexible languages, confirming that embodied and linguistic features of language interact in producing it.

The present study preliminary tested the compensatory social interaction model for individuals experiencing the Covid-19 pandemic. This original model comprises two distinct processes: expression of online emotions leads to post-traumatic growth, which can favor positive mental health and prosocial behaviors; and receiving online social support leads to increases in positive mental health, which can also favor prosocial behaviors. Adults living in Italy (n=1412) completed an online survey during the lockdown period in March 2020. Results showed that being more involved in expression of online emotions was associated with higher post-traumatic growth that in turn was associated with prosocial behaviors. Moreover, participants who perceived higher online social support were more likely to report higher positive mental health that in turn was associated with prosocial behaviors. Collectively, these two social interaction processes suggest that communication technologies appear to be critical resources in helping individuals cope with difficulties raised by the Covid-19 pandemic.