The likes that bind: Even novel opinion sharing can induce opinion-based identification.

Research has found that psychological groups based on opinion congruence are an important group type. Previous research constructed such groups around opinions potentially connected to pre-existing identities. We strip away the socio-structural context by using novel opinions to determine whether opinion congruence alone can be a category cue which can foster identification and whether such group identification mediates the relationship between opinion exposure and opinion polarization. We assess this across two pre-registered online interactive experiments. Study 1 (N = 1168) demonstrate that opinion congruence fostered stronger identity than minimal groups. Study 2 (N = 505) demonstrate that opinion congruence fostered stronger identification than non-opinion congruence. The relationship between opinion exposure and opinion polarization occurs through group identification in both. Results demonstrate that (novel) opinions can be self-categorization cues informing identification and influencing opinion polarization.

Attitude networks as intergroup realities: Using network-modelling to research attitude-identity relationships in polarized political contexts.

We apply a newly developed attitude network-modelling technique (Response-Item Network, or ResIN) to study attitude-identity relationships in the context of hot-button issues that polarize the current US-American electorate. The properties of the network-method allow us to simultaneously depict differences in the structural organization of attitudes between groups and to explore the relevance of organized attitude-systems for group identity management. Individuals based on a sample of US-American crowd workers (N = 396) and the representative 2020 ANES data set (N = 8280), we model an attitude network with two conflictive partisan belief-systems. In the first step, we demonstrate that the structural properties of the attitude-network provide substantial information about latent partisan identities, thereby revealing which attitudes 'belong' to specific groups. In a second step, we evaluate the potential of attitudes to communicate identity-relevant information. Results from a vignette study suggest that people rely on their mental representations of attitude-identity links to structure and evaluate their social environment. By highlighting functional interdependences between (macro level) attitude structures and identity management, the presented findings help advancing the understanding of attitude-identity dynamics and socio-political cleavages.

Do deepfake videos undermine our epistemic trust? A thematic analysis of tweets that discuss deepfakes in the Russian invasion of Ukraine.

Deepfakes are a form of multi-modal media generated using deep-learning technology. Many academics have expressed fears that deepfakes present a severe threat to the veracity of news and political communication, and an epistemic crisis for video evidence. These commentaries have often been hypothetical, with few real-world cases of deepfake's political and epistemological harm. The Russo-Ukrainian war presents the first real-life example of deepfakes being used in warfare, with a number of incidents involving deepfakes of Russian and Ukrainian government officials being used for misinformation and entertainment. This study uses a thematic analysis on tweets relating to deepfakes and the Russo-Ukrainian war to explore how people react to deepfake content online, and to uncover evidence of previously theorised harms of deepfakes on trust. We extracted 4869 relevant tweets using the Twitter API over the first seven months of 2022. We found that much of the misinformation in our dataset came from labelling real media as deepfakes. Novel findings about deepfake scepticism emerged, including a connection between deepfakes and conspiratorial beliefs that world leaders were dead and/or replaced by deepfakes. This research has numerous implications for future research, societal media platforms, news media and governments. The lack of deepfake literacy in our dataset led to significant misunderstandings of what constitutes a deepfake, showing the need to encourage literacy in these new forms of media. However, our evidence demonstrates that efforts to raise awareness around deepfakes may undermine trust in legitimate videos. Consequentially, news media and governmental agencies need to weigh the benefits of educational deepfakes and pre-bunking against the risks of undermining truth. Similarly, news companies and media should be careful in how they label suspected deepfakes in case they cause suspicion for real media.

Using word embeddings to analyse audience effects and individual differences in parenting Subreddits.

This paper explores how individuals' language use in gender-specific groups ("mothers" and "fathers") compares to their interactions when referred to as "parents." Language adaptation based on the audience is well-documented, yet large-scale studies of naturally-occurring audience effects are rare. To address this, we investigate audience and gender effects in the context of parenting, where gender plays a significant role. We focus on interactions within Reddit, particularly in the parenting Subreddits r/Daddit, r/Mommit, and r/Parenting, which cater to distinct audiences. By analyzing user posts using word embeddings, we measure similarities between user-tokens and word-tokens, also considering differences among high and low self-monitors. Results reveal that in mixed-gender contexts, mothers and fathers exhibit similar behavior in discussing a wide range of topics, while fathers emphasize more on educational and family advice. Single-gender Subreddits see more focused discussions. Mothers in r/Mommit discuss medical care, sleep, potty training, and food, distinguishing themselves. In terms of individual differences, we found that, especially on r/Parenting, high self-monitors tend to conform more to the norms of the Subreddit by discussing more of the topics associated with the Subreddit.

Agent-based null models for examining experimental social interaction networks.

We consider the analysis of temporal data arising from online interactive social experiments, which is complicated by the fact that classical independence assumptions about the observations are not satisfied. Therefore, we propose an approach that compares the output of a fitted (linear) model from the observed interaction data to that generated by an assumed agent-based null model. This allows us to discover, for example, the extent to which the structure of social interactions differs from that of random interactions. Moreover, we provide network visualisations that identify the extent of ingroup favouritism and reciprocity as well as particular individuals whose behaviour differs markedly from the norm. We specifically consider experimental data collected via the novel Virtual Interaction APPLication (VIAPPL). We find that ingroup favouritism and reciprocity are present in social interactions observed on this platform, and that these behaviours strengthen over time. Note that, while our proposed methodology was developed with VIAPPL in mind, its potential usage extends to any type of social interaction data.

Pandemic threat and group cohesion: national identification in the wake of COVID-19 is associated with authoritarianism.

Authoritarianism emerges in times of societal threat, in part driven by desires for group-based security. As such, we propose that the threat caused by the COVID-19 pandemic was associated with increased authoritarian tendencies and that this can be partially explained by increased national identification. We tested this hypothesis by collecting cross-sectional data from three different countries in April 2020. In Study 1, data from Ireland (N = 1276) showed that pandemic threat predicted increased national identification, which in turn predicted authoritarianism. In Study 2, we replicated this indirect effect in a representative UK sample (N = 506). In Study 3, we used an alternative measure of authoritarianism and conceptually replicated this effect among USA citizens (N = 429). In this US sample, the association between threat and authoritarian tendencies was stronger among progressives compared to conservatives. Findings are discussed and linked to group-based models of authoritarianism.

Sharing is caring: How sharing opinions online can connect people into groups and foster identification.

Computer mediated communication has marked differences from the face-to-face context. One major difference is that, in the online context, we often have explicit access to others' opinions and these opinions are often the only informational cues available. We investigate if awareness of opinion congruence, in the absence of any other reference categories, may be sufficient to foster social identification. In a pre-registered experiment (N = 681), we manipulated exposure to opinions, and measured levels of ingroup identification, opinion-based identification and their social influence on activism intentions. Our results demonstrate exposure to others' opinions in an otherwise anonymous context fosters ingroup and opinion-based identification. There was no effect on opinion-based group activism intentions. We conclude that computer mediated contexts have consequences for identification - opinion (in)congruence is becoming more relevant as a source of social categorization. While we did not find this identification had a social influence on activism, we discuss avenues for future research to disentangle the features of opinion-based groups necessary to foster activism.

Becoming "us" in digital spaces: How online users creatively and strategically exploit social media affordances to build up social identity.

Social media has become a major platform for information-exchange, discourse, and protest and has been linked to a wide range of pressing macro developments. Consequenlty, there is significant interest from scholars as well as from the wider publuc to understand how social media affordances interact with human behavior. In attempts to address these demands, the present article borrows from the social identity tradition to explain group formation processes in Web 2.0 and other online ecosystems. We propose that online users creatively and strategically exploit the affordances provided by platforms and technologies to construct and perform collective selfhood. We emphasize the relevance of community development, norm consensualization, and emotional alignment as recursive dynamic processes that - in symbiosis - provide a functional basis for social identities. We outline these proposed mechanisms based on a corpus of interdisciplinary literature and suggest avenues for future research.

Mapping the global opinion space to explain anti-vaccine attraction.

Vaccines save millions of lives every year. They are recommended by experts, trusted by the majority of people, and promoted by expensive health campaigns. Even so, people with neutral attitudes are more persuaded by people holding anti-vaccine than pro-vaccine attitudes. Our analysis of vaccine-related attitudes in more than 140 countries makes sense of this paradox by including approaches from social influence. Specifically, we show that neutral people are positioned closer to anti- than to pro-vaccine people in the opinion space, and therefore more persuadable by them. We use dynamic social simulations seeded with vaccine survey data, to show how this effect results in a drift towards anti-vaccine opinions. Linking this analysis to data from two other multi-country datasets, we found that countries in which the pro-vaccine people are less associated to the neutrals (and so less able to influence them) exhibit lower vaccination rates and stronger increase in distrust. We conclude our paper by showing how taking social influence into account in vaccine-related policy-making can possibly reduce waves of distrust towards vaccination.

Structure determination of an amorphous drug through large-scale NMR predictions.

Knowledge of the structure of amorphous solids can direct, for example, the optimization of pharmaceutical formulations, but atomic-level structure determination in amorphous molecular solids has so far not been possible. Solid-state nuclear magnetic resonance (NMR) is among the most popular methods to characterize amorphous materials, and molecular dynamics (MD) simulations can help describe the structure of disordered materials. However, directly relating MD to NMR experiments in molecular solids has been out of reach until now because of the large size of these simulations. Here, using a machine learning model of chemical shifts, we determine the atomic-level structure of the hydrated amorphous drug AZD5718 by combining dynamic nuclear polarization-enhanced solid-state NMR experiments with predicted chemical shifts for MD simulations of large systems. From these amorphous structures we then identify H-bonding motifs and relate them to local intermolecular complex formation energies.

Controlled Pulmonary Delivery of Carrier-Free Budesonide Dry Powder by Atomic Layer Deposition.

Ideal controlled pulmonary drug delivery systems provide sustained release by retarding lung clearance mechanisms and efficient lung deposition to maintain therapeutic concentrations over prolonged time. Here, we use atomic layer deposition (ALD) to simultaneously tailor the release and aerosolization properties of inhaled drug particles without the need for lactose carrier. In particular, we deposit uniform nanoscale oxide ceramic films, such as Al2O3, TiO2, and SiO2, on micronized budesonide particles, a common active pharmaceutical ingredient for the treatment of respiratory diseases. In vitro dissolution and ex vivo isolated perfused rat lung tests demonstrate dramatically slowed release with increasing nanofilm thickness, regardless of the nature of the material. Ex situ transmission electron microscopy at various stages during dissolution unravels mostly intact nanofilms, suggesting that the release mechanism mainly involves the transport of dissolution media through the ALD films. Furthermore, in vitro aerosolization testing by fast screening impactor shows a ∼2-fold increase in fine particle fraction (FPF) for each ALD-coated budesonide formulation after 10 ALD process cycles, also applying very low patient inspiratory pressures. The higher FPFs after the ALD process are attributed to the reduction in the interparticle force arising from the ceramic surfaces, as evidenced by atomic force microscopy measurements. Finally, cell viability, cytokine release, and tissue morphology analyses verify a safe and efficacious use of ALD-coated budesonide particles at the cellular level. Therefore, surface nanoengineering by ALD is highly promising in providing the next generation of inhaled formulations with tailored characteristics of drug release and lung deposition, thereby enhancing controlled pulmonary delivery opportunities.

Generalized mean-field approximation for the Deffuant opinion dynamics model on networks.

When the interactions of agents on a network are assumed to follow the Deffuant opinion dynamics model, the outcomes are known to depend on the structure of the underlying network. This behavior cannot be captured by existing mean-field approximations for the Deffuant model. In this paper, a generalized mean-field approximation is derived that accounts for the effects of network topology on Deffuant dynamics through the degree distribution or community structure of the network. The accuracy of the approximation is examined by comparison with large-scale Monte Carlo simulations on both synthetic and real-world networks.

Policymaking through a knowledge lens: Using the embodied-enacted-inscribed knowledge framework to illuminate the transfer of knowledge in a mental health policy consultation process - A South African case study.

BACKGROUND: Marrying principles of evidence-based policymaking, with its focus on what works, with principles of consultative policymaking, with its focus on what works for whom, means finding ways to integrate multiple knowledge inputs into policy decisions. Viewed through the lens of the embodied-enacted-inscribed knowledge framework, policy consultation is a site of knowledge enactment, where the embodied knowledge enacted by individuals engages with the inscribed knowledge contained in policy documents, creating new forms of embodied and inscribed knowledge that move beyond these spaces. AIM: Using this knowledge framework, this study aimed to trace the movement of knowledge inputs through South Africa's mental health policy consultation summit. METHODS: Breakaway group session transcripts from the national consultation summit were thematically analysed to identify the types of knowledge that participants explicitly drew on (experiential or evidence-based) during discussions and how these knowledge inputs were used, responded to, and captured. FINDINGS: Findings suggest that there was little explicit reference to either evidence-based or experiential knowledge in most of the talk. While slightly more evidence-based than experiential knowledge claims were made, this did not render these claims any more likely to be responded to or engaged with in group discussions, or to be inscribed in group recommendations. DISCUSSION: The importance of designing participatory processes that enable optimal use of knowledge inputs in these enacted spaces is discussed. CONCLUSION: Attending to the specific ways in which knowledge is transformed and moved through a policy consultation process has the potential to enhance the value that consultation offers policymakers.

The crystal structure, morphology and mechanical properties of diaquabis(omeprazolate)magnesium dihydrate.

The crystal structure of diaquabis(omeprazolate)magnesium dihydrate (DABOMD) in the solid state has been determined using single-crystal X-ray diffraction. Single crystals of DABOMD were obtained by slow crystallization in ethanol with water used as an antisolvent. The crystal structure shows a dihydrated salt comprising a magnesium cation coordinating two omeprazolate anions and two water molecules (W1) that are strongly bound to magnesium. In addition, two further water molecules (W2) are more weakly hydrogen-bonded to the pyridine nitrogen atom of each omeprazolate anion. The crystal structure was utilized to estimate key material properties for DABOMD, including crystal habit and mechanical properties, which are required for improved understanding and prediction of the behaviour of particles during pharmaceutical processing such as milling. The results from the material properties calculations indicate that DABOMD exhibits a hexagonal morphology and consists of a flat slip plane through the (100) face. It can be classed as a soft material based on elastic constant calculation and exhibits a two-dimensional hydrogen-bonding framework. Based on the crystal structure, habit and mechanical properties, it is anticipated that DABOMD will experience large disorder accompanied by plastic deformation during milling.

Mapping public health responses with attitude networks: the emergence of opinion-based groups in the UK's early COVID-19 response phase.

Partisan patterns of compliance with public health measures are a feature of early COVID-19 responses. In many cases, these differences in behaviour relate to pre-existing group identities. However, in times of rapid societal change, novel opinion-based groups can emerge and provide a new basis for partisan identification and divergent collective behaviour. Here, we use network methods to map the emergence of opposing opinion-based groups and assess their implications for public health behaviour. In a longitudinal study, we tracked public health attitudes and self-reported behaviour in a sample of UK participants over four time points. Network visualisation reveal a rift in attitudinal alignment over time and the genesis of two distinct groups characterised by trust, or distrust, in science (Study 1a; N = 253). These groups also diverge in public health behaviour. In a brief follow-up study (N = 206), we find that this opinion polarization partially reflects underlying societal divides. We discuss implications for opinion-based group research and public health campaigns.

Agreement threshold on Axelrod's model of cultural dissemination.

Shared opinions are an important feature in the formation of social groups. In this paper, we use the Axelrod model of cultural dissemination to represent opinion-based groups. In the Axelrod model, each agent has a set of features which each holds one of a set of nominally related traits. Survey data has a similar structure, where each participant answers each of a set of items with responses from a fixed list. We present an alternative method of displaying the Axelrod model by representing it as a bipartite graph, i.e., participants and their responses as separate nodes. This allows us to see which feature-trait combinations are selected in the final state. This visualisation is particularly useful when representing survey data as it illustrates the co-evolution of attitudes and opinion-based groups in Axelrod's model of cultural diffusion. We also present a modification to the Axelrod model. A standard finding of the Axelrod model with many features is for all agents to fully agree in one cluster. We introduce an agreement threshold and allow nodes to interact only with those neighbours who are within this threshold (i.e., those with similar opinions) rather than those with any opinion. This method reliably yields a large number of clusters for small agreement thresholds and, importantly, does not limit to single cluster when the number of features grows large. This potentially provides a method for modelling opinion-based groups where as opinions are added, the number of clusters increase.

The romantic imperative: discourses of romance and heterosexual marriage.

The contact hypothesis predicts that positive contact will reform attitudes towards the out-group and lead to less prejudice as a result. In contexts facing ongoing gender inequality - such as South Africa - romance is usually seen as a beneficial point of contact between unequal groups (heterosexual men and women), because of the sense of intimacy it brings. We investigated romantic practices in a discursive-ethnographic study, by recruiting five young, westernised, middleclass South African couples and interviewing them a number of times about romance and their relationships. We found that these couples positioned being-romantic extremely positively, as a means of sustaining intimacy in marriage. However, we also found that they positioned one version of romance as something they needed to engage in, in order to do relationship-work. We have called this the romantic imperative and suggested that it appears to channel these couples into being romantic in a particular way; one which is restrictive in the way it may be performed and which carries a high cost in terms of the effort, time and financial resources required to perform it successfully. This links to critiques of the contact hypothesis, in that positive contact does not always equate to positive outcomes.

Making consultation meaningful: Insights from a case study of the South African mental health policy consultation process.

BACKGROUND: It is widely recognised that mental health policies should be developed in consultation with those tasked with their implementation and the users affected by them. In the South African legislative context public participation in policymaking is assumed, with little guidance on how to conduct consultation processes, nor how to use consultation inputs in policy decisions. METHODS: The South African Mental Health Policy Framework and Strategic Plan was adopted in 2013 after an extensive consultation process. Focussing on the 2012 provincial and national consultation summit, this case-study conducted key informant interviews and undertook documentary analysis to explore the process through which consultation inputs were-or were not-transferred to inform this policy. Between 2013 and 2016 seven interviews were conducted, and 11 documents (policy drafts and summit outputs) and transcripts of 23 audio-recorded sessions from the national summit were analysed. RESULTS: Findings revealed that no substantive changes were made to the mental health policy following the consultation summits. There do not seem to have been systematic processes for facilitating and capturing knowledge inputs, or for transferring these inputs between provincial and national levels. There was also no further consultation regarding priorities identified for implementation prior to finalisation of the policy, with participants highlighting concerns about policy implementation at local levels as a result. This represents a lost opportunity for greater involvement of service users in policy development. CONCLUSIONS: Together with poor service-user representation, the format of the consultation process limited participant interaction and the possibility for engagement with, or uptake of, more experiential forms of knowledge. Several procedural elements were found to limit the elicitation and transference of consultation contributions for uptake into policy. Recommendations for future policy consultations include adapting the format of participatory processes to enable optimal use of participant knowledge, as well as greater service-user participation.

Nanoengineering of Crystal and Amorphous Surfaces of Pharmaceutical Particles for Biomedical Applications.

The morphology, size, and surface properties of pharmaceutical particles form an essential role in the therapeutic performance of active pharmaceutical ingredients (APIs) and excipients as constituents in various drug delivery systems and clinical applications. Recent advances in methods for surface modification, however, rely heavily on liquid-phase-based modification processes and afford limited control over the thickness and conformality of the coating. Atomic layer deposition (ALD), on the other hand, enables the formation of conformal nanoscale films on complex structures with thickness control on the molecular level, while maintaining the substrate particle size and morphology. Moreover, this enables nanoengineering of surfaces of pharmaceutical particles also in the dry state. Successful nanoengineeering of crystal and amorphous surfaces of pharmaceutical particles is demonstrated in this study whereby functional properties, such as dissolution and dispersibility, were tailored for drug delivery applications. This expands on our initial work on ALD of alumina on pharmaceutical particles within the lower micro- to higher nanosize ranges to here probe both crystalline and amorphous lactose substrate surfaces (d50 = 3.5 and 21 µm). In addition, both water and ozone coreactants were evaluated, the latter having not been evaluated previously for pharmaceutical particles. The deposition process is carried out at ambient conditions in a fluidized bed reactor for a low number of cycles (i.e., from 4 to 14). Improved dissolution and extended release were achieved by the ALD nanoengineering of both crystalline and amorphous surfaces. This novel concept opens up exciting opportunities to produce more complex materials and structures using temperature- and moisture-sensitive drugs, e.g., targeting and drug delivery opportunities, as well as delivering new functionalities for novel applications in the pharmaceutical, medical, biological, and advanced materials fields. The prospects for advancing inhaled drug delivery are exemplified by the ALD surface nanoengineering concept.

Continuity in the face of change: Identifying three strategies for constructing stable masculinity in liminality.

We examined how men tell stories of masculinity, continuity, and change in the liminal context of moving between hometown and university. In nine in-depth semi-structured interviews with male students at an Irish university, participants were asked to describe their experiences moving between the places of home and university. We examined the functions of men's stories using a narrative approach to discourse analysis. We identified three strategies that university men use to construct and position the self in a narrative of transition: continuity through stability, continuity through resistance, and continuity through growth. We conclude that participants use all three strategies to construct 'authentic' masculinity. Therefore, a primary discursive goal in these men's talk about life transitions was to construct a stable and authentic masculine identity. Our findings foreground men's use of masculinity to maintain a coherent identity in response to liminal contexts. We highlight the importance of examining identity performance across liminal contexts and among other more disadvantaged groups to analyse different self and identity construction in stories of change. Findings are discussed in relation to stability and continuity as important discursive accomplishment for masculinity and other identities in liminality.