Social representations and multi-channel communication on crucial societal issues through the modelling approach
Year: 2024
Type: article
Abstract: This perspective article addresses six key themes , starting from the need to overcome the unilinear model of communication, by recognising the circular dynamics between social representations and multi-channel communication . In particular, the ‘ modelling approach’ to social representations (SR), beyond the purely cumulative logic of traditional multi-methods, asserts as essential the need to articulate various theories, multiple constructs, different methods and techniques, ad hoc designed, based on oral, textual, iconic, behavioural communicative multi-channels, recurring to qualitative-quantitative data strategy analyses, justified on the basis of selected theories/constructs and driven by specific hypotheses about their role in shaping research outcomes. Multi-years research background—documented by rich bibliography—includes diversified societal topics: madness and mental illness; the relationship between myth, science and SR; traumatic collective events, media communication and social memory; SR, and multi-dimensional identities; controversial societal issues and polemical SR and/of commercial fashion advertising; SR of beauty and aesthetic surgery in three EU countries, Brazil and China; SR and economically relevant issues in national-supranational institutional contexts; social movements and active minorities on environmental and economic polemical SR objects in local–global scenarios; polarised S.R. of (im)migrants through field and multimedia studies; SR of/ within Covid-19 pandemic; evolving communicative ecosystem and SR in the social networks and artificial intelligence era. This article illustrates the model of circular dynamics between social representations and multi-channel communication by multi-agents in the tourism sector. This crucial economic-cultural sector deserves further longitudinal investigations in the pre/post-pandemic world with persistent global challenges including (im/e)migration, environmental crises, peace-wars, machine learning applications.
Source: Discover Global Society
Author: Annamaria Silvana de Rosa
Institution: Sapienza University of Rome
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,340
OpenAlex ID: W4405613787
