The COVID-19–Social Identity–Digital Media Nexus in India: Polarization and Blame

Drawing on social identity theory and research on digital media and polarization, this study uses a quasi-experimental design with a random sample (n = 3304) to provide causal evidence on perceptions of who is to blame for the initial spread of COVID-19 in India. According blame to three different social and political entities—Tablighi Jamaat (a Muslim group), the Modi government, and migrant workers (a heterogeneous group)—are the dependent variables in three OLS regression models testing the effect of the no-blame treatment, controlling for Facebook use, social identity (religion), vote in the 2019 national election, and other demographics. Results show respondents in the treatment group were more likely to allay blame, affective polarization (dislike for outgroup members) was social identity based, not partisan based, and Facebook/Instagram use was not significant. Congress and United Progressive Alliance voters in 2019 were less likely to blame the Modi government for the initial spread. Unlike extant research in western contexts, affective and political polarization appear to be distinct concepts in India where social identity complexity is important. This study of the first wave informs perceptions of blame in future waves, which are discussed in conclusion along with questions for future research.     

Normality,Non-contamination and Logical Depth in Classical Natural Deduction

Studia Logica - In this paper we provide a detailed proof-theoretical analysis of a natural deduction system for classical propositional logic that (i) represents classical proofs in a more natural...     

The Role of Apparent Constraints in Normative Reasoning: a Methodological Statement and Application to Global Justice

The assumptions that are made about the features of the world that are relatively changeable by agents and those that are not (constraints) play a central role in determining normative conclusions. In this way, normative reasoning is deeply dependent on accounts of the empirical world. Successful normative reasoning must avoid the naturalization of constraints and seek to attribute correctly to agents what is and is not in their power to change. Recent discourse on global justice has often come to unjustified conclusions about agents obligations due to a narrow view of what is changeable and by whom.I would like to thank for their helpful comments Christian Barry, Rudiger Bittner, Darrel Moellendorf and Thomas Pogge.     

The Anugītā as a Gloss on the Bhagavadgītā—Part I: The Origin of Erroneous Exegetical Tradition of the Bhagavadgītā

Journal of Indian Council of Philosophical Research - The Anugītā has been considered as the first gloss known to us on the Bhagavadgītā. The Anugītā set erroneous...     

Use of Prosocial Word Enhances the Processing of Language: Frequency Domain Analysis of Human EEG

Journal of Psycholinguistic Research - Use of prosocial language enhances human cooperation and harmony. Previous research has shown that talking about helping, sharing and giving to others creates...     

Complexities in Adjustment Patterns among the “Best and the Brightest”: Risk and Resilience in the Context of High Achieving Schools

Youth in high achieving schools (HAS) are at elevated risk for serious adjustment problems—including internalizing and externalizing symptoms and substance use—given unrelenting pressures to be “the best.” For resilience researchers, successful risk evasion in these high-pressure settings should, arguably, be defined in terms of the absence of serious symptoms plus behaviorally manifested integrity and altruism. Future interventions should target that which is the fundamental basis of resilience: Dependable, supportive relationships in everyday settings. These must be promoted between adults and children and among them, toward enhancing positive development among youth and families in these high stress environments.     

Exposure,Loss, and Support Predicting the Dimensions of Posttsunami Trauma

This study examined whether exposure, resource loss, and social support predicted the posttsunami trauma of PTSD, depression, negative affect, and physical health problems of the 2004 tsunami survivors. Four hundred sixteen survivors were interviewed in Tamil Nadu (India) 14 months posttsunami. Loss of life followed by loss of property and disaster exposure positively predicted the dimensions of trauma. Survivors having lower social status and income received less material and informational support than their equally affected counterparts, which furthered stress and distress. The survivors’ trauma can be arrested, minimizing the exposure and tangible resource loss, and improving the delivery of social support.     

Cultural Adaptation of New Affective Well-Being Measure in Hindi-Speaking Youth: Scale of Positive and Negative Experience

This study is an attempt to culturally adapt the Scale of Positive and Negative Experience (SPANE, Diener et al. in Soc Indic Res 97(2):143–156, 2010) in the Indian context. The study was conducted on youth in the age range of 15–24 years (N = 966), and reliability and factorial validity of translated version (in Hindi) of SPANE were calculated. Convergent validity of translated scale was also examined with different measures of well-being (life satisfaction, psychological distress, and happiness) and positive expectations scales (optimism and self-efficacy). Results supported the original two-factor structure of SPANE, and the scale also demonstrated adequate internal consistency. Further analyses revealed structural invariance for scale items across gender, different age groups (adolescents and young adults), different residential areas (urban and rural), and different socioeconomic levels. Results also provided a support for the convergent validity of the Hindi version.     

Analyzing Big-Five Personality Traits of Indian Celebrities Using Online Social Media

Personality traits analysis has been an active area of research in information systems and its cognate disciplines. However, there are multiple challenges faced by questionnaire-based measurement of personality traits including low response rate and limited access to the individuals. This research paper presents a social media-based approach to determine the Big-Five personality traits of different groups of celebrities. First, authors collected the Twitter posts of celebrities in different professions and used IBM’s Watson Personality Insights tool to determine the personalities of these celebrities. Next, with the help of statistical analysis and visualization techniques, authors determined the personality pattern within and across the group of celebrities. The results demonstrate that there is significant difference across groups of celebrities on three of the Big-Five personality traits—Openness, Agreeableness, and Extraversion. However, there is no significant difference among the celebrity groups on the Conscientiousness and Neuroticism trait.     

An atomistic modelling and statistical analysis study of crack–void interaction in Aluminum

The interaction between a brittle crack and pre-existing void in front of the crack tip was studied in the realm of molecular dynamics simulations at the nanoscale in face centred cubic Al within the framework of embedded-atom method. The results provide corroborative evidence of the fact that presence of a void in front of a running crack deters further crack growth. By performing an extensive series of simulations with different void sizes and crack-void distances coupled with statistical analysis, it has been found that (1) major role of voids is to decrease the fracture stress with increasing void size, in addition to slight increase in strain at which the crack growth occurs and the consequent strain to fracture, (2) fracture stress for a constant void size follows a sinusoidal distribution by varying the crack-void distance and (3) it is the void size that is most crucial in dictating the fracture properties of the material, rather than the void placement.