12,132 research outputs found

    A Continuous Opinion Dynamics Model Based on the Principle of Meta-Contrast

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    We propose a new continuous opinion dynamics model inspired by social psychology. It is based on a central assumption of self-categorization theory called principle of meta-contrast. We study the behaviour of the model for several network interactions and show that, in particular, consensus, polarization or extremism are possible outcomes, even without explicit introduction of extremist agents. The model is compared to other existing opinion dynamics models.Opinion Dynamics, Self-Categorization Theory, Consensus, Polarization, Extremism

    Acting Out Against Gender Discrimination: The Effects of Different Social Identities

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    Self-categorization theory suggests that when a social identity is salient, group- oriented behavior will ensue. Thus, women should be likely to act out against gender discrimination when their social identity as women is salient. However, self-categorization theory has typically defined a social identity along stereo- types, which may serve instead to maintain the status quo. Two studies therefore examined the effects of two different social identities on taking action against discrimination. Participants were female students (Anglo American (93%), African American (2%), Native American (2%), Hispanic (1%), Asian American (1%) and Other (1%)). Study 1 examined a structural model and Study 2 examined the causal relationships, both hypothesizing that a social identity based on stereotypes would be associated with less collective action than a social identity based on social experiences. The hypothesis was supported, and implications for expanding definitions of social identities were discussed

    Will Green Remain the New Black? Dynamics in the Self-Categorization of Ethical Fashion Designers

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    Research on categorization and category dynamics has been rather silent on the role of powerful third parties in the self-categorization of producers. This study sheds light on this question by analyzing dynamics in the self-categorization of designers in the British ethical fashion movement. Their task of self-categorization is particularly complex in a context in which conflicts between aesthetics, morality and the economy still persist. Most of them enter the field as activists. Over time, however, designers stress their moral ideals less in their self-categorization, but put more emphasis on business-related values. Some even switch their self-identities from that of activists or moralists towards identifying as entrepreneurs. In this article, I argue that the designers’ dependency relations to a powerful audience member allow us to better understand these dynamics in self-categorization

    Selective self-categorization: Meaningful categorization and the in-group persuasion effect

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    Research stemming from self-categorization theory (Turner et al., 1987) has demonstrated that individuals are typically more persuaded by messages from their in-group than by messages from the out-group. The present research investigated the role of issue relevance in moderating these effects. In particular, it was predicted that in-groups would only be more persuasive when the dimension on which group membership was defined was meaningful or relevant to the attitude issue. In two studies, participants were presented with persuasive arguments from either an in-group source or an out-group source, where the basis of the in-group/out-group distinction was either relevant or irrelevant to the attitude issue. Participants' attitudes toward the issue were then measured. The results supported the predictions: Participants were more persuaded by in-group sources than out-group sources when the basis for defining the group was relevant to the attitude issue. However, when the defining characteristic of the group was irrelevant to the attitude issue, participants were equally persuaded by in-group and out-group sources. These results support the hypothesis that the fit between group membership and domain is an important moderator of self-categorization effects

    Self- Categorization of University Students

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    Identification of the following is the goal of the current study: 1- The Self – Categorization of the university students. Students at Babylon University make up the study's population. (Morning Study) including both genders (males and females) that majoring (Scientific and Humanities) studies for the school year 2022-2023. The research sample consisted of (380) male and female students were selected by stratified random method with appropriate distribution, and to achieve the objectives of the research, the researcher adopted the self-classification scale (Al-Saadi 2010) in this research, based on the theory (Turner 1979) It was presented to a group of specialized arbitrators to judge the validity of its paragraphs, and then the psychometric properties were extracted for it through the application to the research sample of (380) male and female students, and the value of the stability coefficient by Alpha Cronbach method (0.8 5) and by re-testing method (0.81) After the scale became in its final form (42) items, the researcher applied it to the research sample of (380) male and female students, and the researcher built a scale of emotional dissonance based on the theory (1983, Hochschild ) of emotional dissonance As well as it was presented to a group of experts arbitrators were also extracted psychometric properties of it, as the coefficient of stability of the scale in the manner of Alpha Cronbach (0.8 8) and the method of re-testing (0.83) and after confirming the validity of the scale was applied in its final form (30) paragraph on the research sample. After finishing the application, the researcher utilized the proper statistical techniques to analyze the data with the help of the statistical bag for social sciences, and the results of the research showed the following: 1- The university students have the ability for Self – Categorizatio

    Exploring the Cognitive Foundations of the Shared Attention Mechanism: Evidence for a Relationship Between Self-Categorization and Shared Attention Across the Autism Spectrum.

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    Published onlineJournal ArticleThis is the author accepted manuscript. The final version is available from Springer Verlag via the DOI in this record.The social difficulties of autism spectrum disorder (ASD) are typically explained as a disruption in the Shared Attention Mechanism (SAM) sub-component of the theory of mind (ToM) system. In the current paper, we explore the hypothesis that SAM's capacity to construct the self-other-object relations necessary for shared-attention arises from a self-categorization process, which is weaker among those with more autistic-like traits. We present participants with self-categorization and shared-attention tasks, and measure their autism-spectrum quotient (AQ). Results reveal a negative relationship between AQ and shared-attention, via self-categorization, suggesting a role for self-categorization in the disruption in SAM seen in ASD. Implications for intervention, and for a ToM model in which weak central coherence plays a role are discussed.This research was supported by the Australian Research Council (FLFL110100199) and the Canadian Institute for Advanced Research (Social Interactions Identity and Well-Being Program)

    Self-categorization as a nonmarket strategy for MNE subsidiaries:Tracking the international expansion of an online platform

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    This article examines how MNE subsidiaries develop nonmarket strategies to create a fit between a global market strategy and a local nonmarket framework. Derived from an analysis of archives and interviews on eBay’s expansion into France, our findings suggest that MNE subsidiaries engage in defensive and proactive self-categorization to create their nonmarket strategic fit. Specifically, through the purposeful use of labels, rhetoric and narratives, self-categorization enables subsidiaries to strategically position themselves vis-à-vis both regulators and local incumbents, thereby exercising agency to influence the nonmarket environment in their preferred direction. The findings contribute to the institution-based view of international strategy by shedding new light on the interaction between MNE subsidiaries and local institutional authorities in a context of international expansion. Furthermore, we theorize how subsidiaries use self-categorization to transfer global organizational practices to the host country

    Social identity theory and self categorization theory.

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    Political behaviour always involves social groups, whether these take the form of concrete networks and gatherings of individuals such as pressure groups, demonstrations, governments, cadres or committees, or whether they are constituted as large-scale institutions or imagined communities (Anderson, 1991) such as polities, states, political parties, interest groups, publics, constituencies or electorates. In so far as social groups are central to politics, it follows that the psychology of groups should be relevant to our understanding of political psychology. Social Identity Theory and Self-Categorization Theory represent major theoretical attempts to clarify the social psychological processes associated with group membership and action, and should therefore be in a good position to provide a significant contribution to that understanding

    The Darkside of Stereotypes: The Effects of Crime in the Media on Racial Identity and Emotions

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    This study investigated how the image of Black criminality in the media affects the racial identity and emotions of Blacks. It also examined how the image of White criminality affects the racial identity and emotions of Whites as a point of comparison. These effects were studied through the lens of self-categorization theory and inter-group emotions theory. SCT posits that a person*s biases are a result of how relevant their social identity is to their self-concept. IET posits that the emotions a person feels are derived from the social group they belong to. This study analyzed 369 responses from participants who were presented with Twitter news pages that presented all Black crime stories, all White crime stories, or negative (no race) stories. Findings showed that both Blacks and Whites decreased self-categorization with their race after viewing same-race criminality news stories. It also found that emotions were affected by content of the newsfeed. Lastly, the study found significant differences in self-categorization based on level of identification
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