Are Americans more individualistic and less collectivistic than members of other groups? The authors summarize plausible psychological implications of individualism–collectivism (IND-COL), metaanalyze cross-national and within-United States IND-COL differences, and review evidence for effects of IND-COL on self-concept, well-being, cognition, and relationality. European Americans were found to be both more individualistic—valuing personal independence more—and less collectivistic—feeling duty to in-groups less—than others. However, European Americans were not more individualistic than African Americans, or Latinos, and not less collectivistic than Japanese or Koreans. Among Asians, only Chinese showed large effects, being both less individualistic and more collectivistic. Moderate IND-COL effects were found on self-concept and relationality, and large effects were found on attribution and cognitive style. To contemporary Americans, being an individualist is not only a good thing; it is a quintessentially American thing. However, the term individualism itself appears to have its roots outside of the North American continent, namely in the French Revolution. It appears that individualism was first used to describe the negative

Language is the currency of most human social processes. We use words to convey our emotions and thoughts, to tell stories, and to understand the world. It is somewhat odd, then, that so few investigations in the social sciences actually focus on natural language use among people in the real world. There are many legitimate reasons for not studying what people say or write. Historically, the analysis of text was slow, complex, and costly. The purpose of this chapter is to suggest that social scientists in general and social psychologists in particular should reconsider the value of language studies. With recent advances in computer text analysis methods, we are now able to explore basic social processes in new and rich ways that could not have been done even a decade ago. When language has been studied at all within social psychology, it has usually relied on fairly rigorous experimental methods using an assortment of standardized human coding procedures. These works are helping researchers to understand social attribution (Fiedler & Semin, 1992), intercultural communication (Hajek & Giles, 2003), and even how different cultures think about time (Boroditsky, 2001).

Online communities depend upon the commitment and voluntary participation of their members. Community design—site navigation, community structure and features, and organizational policies—is critical in this regard. Community design affects how people can interact, the information they receive about one another and the community, and how they can participate in community activities. We argue that the constraints and opportunities inherent in online community design influence how people become attached to the community and whether they are willing to expend effort on its behalf. We examine two theories of group attachment and link these theories with design decisions for online communities. Common identity theory makes predictions about the causes and consequences of people’s attachment to the group as a whole. Common bond theory makes predictions about the causes and consequences of people’s attachment to individual group members. We review causes of common identity and common bond, and show how they result in different kinds of attachment and group outcomes. We then show how design decisions, such as those focused on recruiting newcomers versus retaining existing members, constraining or promoting off-topic discussion, and limiting group size or allowing uncontrolled growth, can lead to common identity or interpersonal bonds among community members, and consequently to different levels and forms of community participation by those so motivated.

898-2534). This research is based on a portion of the author’s doctoral dissertation. Joel Cohen,

The authors offer a framework for conceptualizing collective identity that aims to clarify and make distinctions among dimensions of identification that have not always been clearly articulated. Elements of collective identification included in this framework are self-categorization, evaluation, importance, attachment and sense of interdependence, social embeddedness, behavioral involvement, and content and meaning. For each element, the authors take note of different labels that have been used to identify what appear to be conceptually equivalent constructs, provide examples of studies that illustrate the concept, and suggest measurement approaches. Further, they discuss the potential links between elements and outcomes and how context moderates these relationships. The authors illustrate the utility of the multidimensional organizing framework by analyzing the different configuration of elements in 4 major theories of identification. In this article we put forward a general conceptual framework for the analysis of collective identity. Although not proposing a theory per se, we offer a strategy by which individual theorists might better articulate the assumptions and the components of their theoretical formulations. In doing so, theorists should be better able to identify points of agreement and dissension between models and to move forward to the development of more integrative theories. It is our belief that by carefully articulating the multiple

Politics is about conflicting interests and influence backed up by force. Although rooted in individual behavior, it is not a one-man affair. Lack of information and control make social groups important, as they provide the behavioral clues and political clout (van Winden 1999). Action – in particular, collective action – aimed at shared interests is thereby a key issue in

In a series of studies the Self Salience Model of other-to-self effects is tested. This model posits that self-construal salience is an important determinant of whether other-to-self effects follow the principles of self-enhancement, imitation, or complementarity. Participants imagined interactions (Studies 1 and 2) or were confronted (Studies 3 to 5) with dominant, submissive, agreeable, or quarrelsome person targets. Findings support the prediction that subsequent self-evaluations (Studies 1 to 3) and behaviors (Studies 4 and 5) follow the principles of self-enhancement when the personal self is activated (contrast away from undesirable targets, assimilation toward desirable targets); the principles of complementarity when the relational self is activated (contrast on the dominant–submissive dimension, assimilation on the agreeable–quarrelsome dimension); and the principles of imitation when the collective self is activated (assimilation regardless of desirability or dimension).

Self-perception theory posits that people sometimes infer their own attributes by observing their freely chosen actions. We hypothesized that in addition, people sometimes infer their own attributes by observing the freely chosen actions of others with whom they feel a sense of merged identity—almost as if they had observed themselves performing the acts. Before observing an actor’s behavior, participants were led to feel a sense of merged identity with the actor through perspective-taking instructions (Study 1) or through feedback indicating that their brainwave patterns overlapped substantially with those of the actor (Studies 2-4). As predicted, observers incorporated attributes relevant to an actor’s behavior into their own self-concepts, but only when they were led to feel a sense of merged identity with the actor and only when the actor’s behavior seemed freely chosen. These changes in relevant self-perceptions led observers to change their own behaviors accordingly. Implications of these vicarious self-perception processes for conformity, perspective-taking, and the long-term development of the self-concept are discussed.

Disaster-related research in human-centered computing has typically focused on the shorter-term, emergency period of a disaster event, whereas effects of some crises are longterm, lasting years. Social media archived on the Internet provides researchers the opportunity to examine societal reactions to a disaster over time. In this paper we examine how blogs written during a protracted conflict might reflect a collective view of the event. The sheer amount of data originating from the Internet about a significant event poses a challenge to researchers; we employ topic modeling and pronoun analysis as methods to analyze such large-scale data. First, we discovered that blog war topics temporally tracked the actual, measurable violence in the society suggesting that blog content can be an indicator of the health or state of the affected population. We also found that people exhibited a collective identity when they blogged about war, as evidenced by a higher use of firstperson plural pronouns compared to blogging on other topics. Blogging about daily life decreased as violence in the society increased; when violence waned, there was a resurgence of daily life topics, potentially illustrating how a society returns to normalcy. Author Keywords Blogs, collective identity, crisis, war, crisis informatics,

Online communities depend upon a core of committed members who participate, contribute, and stick with the group. To encourage commitment, community design has to accommodate people’s motivations for being in the community and unleash the social forces that cause people to feel attached to the community, to feel responsibility for the community, and to experience net benefits for staying in the community. By designing with these social forces in mind, we can increase members ’ attachment and loyalty to the community and build a committed core. 1.