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Scholarly communications, particularly, questions and answers (Q&A) present on digital scholarly platforms provide a new avenue to gain knowledge. However, several studies have raised a concern about the content anomalies in these Q&A and suggested a proper validation before utilizing them in scholarly applications such as influence analysis and content-based recommendation systems. The content anomalies are referred as disinformation in this research. The purpose of this research is firstly, to assess scholarly communications in order to identify disinformation and secondly, to help scholarly platforms determine the scholars who probably disseminate such disinformation. These scholars are referred as the probable sources of disinformation.

To identify disinformation, the proposed model deduces (1) content redundancy and contextual redundancy in questions (2) contextual nonrelevance in answers with respect to the questions and (3) quality of answers with respect to the expertise of the answering scholars. Then, the model determines the probable sources of disinformation using the statistical analysis.

The model is evaluated on ResearchGate (RG) data. Results suggest that the model efficiently identifies disinformation from scholarly communications and accurately detects the probable sources of disinformation.

Different platforms with communication portals can use this model as a regulatory mechanism to restrict the prorogation of disinformation. Scholarly platforms can use this model to generate an accurate influence assessment mechanism and also relevant recommendations for their scholars.

The existing studies majorly deal with validating the answers using statistical measures. The proposed model focuses on questions as well as answers and performs a contextual analysis using an advanced word embedding technique.

In the Indian judicial system, the court considers interpretations of similar previous judgments for the present case. An essential requirement of legal practitioners is to determine the most relevant judgments from an enormous amount of judgments for preparing supportive, beneficial and favorable arguments against the opponent. It urges a strong demand to develop a Legal Document Recommendation System (LDRS) to automate the process. In existing works, traditionally preprocessed judgment corpus is processed by Doc2Vec to learn semantically rich judgment embedding space (i.e. vector space). Here, vectors of semantically relevant judgments are in close proximity, as Doc2Vec can effectively capture semantic meanings. The enormous amount of judgments produces a huge noisy corpus and vocabulary which possesses a significant challenge: traditional preprocessing cannot fully eliminate noisy data from the corpus and due to this, the Doc2Vec demands huge memory and time to learn the judgment embedding. It also adversely affects the recommendation performance in terms of correctness. This paper aims to develop an effective and efficient LDRS to support civilians and the legal fraternity.

To overcome previously mentioned challenges, this research proposes the LDRS that uses the proposed Generalized English and Indian Legal Dictionary (GEILD) which keeps the corpus of relevant dictionary words only and discards noisy elements. Accordingly, the proposed LDRS significantly reduces the corpus size, which can potentially improve the space and time efficiency of Doc2Vec.

The experimental results confirm that the proposed LDRS with GEILD yield superior performance in terms of accuracy, F1-Score, MCC-Score, with significant improvement in the space and time efficiency.

The proposed LDRS uses the customized domain-specific preprocessing and novel legal dictionary (i.e. GEILD) to precisely recommend the relevant judgments. The proposed LDRS can be incorporated with online legal search repositories/engines to enrich their functionality.

In online social network analysis, the problem of identification and ranking of influential nodes based on their prominence has attracted immense attention from researchers and practitioners. Identification and ranking of influential nodes is a challenging problem using Twitter, as data contains heterogeneous features such as tweets, likes, mentions and retweets. The purpose of this paper is to perform correlation between various features, evaluation metrics, approaches and results to validate selection of features as well as results. In addition, the paper uses well-known techniques to find topical authority and sentiments of influential nodes that help smart city governance and to make importance decisions while understanding the various perceptions of relevant influential nodes.

The tweets fetched using Twitter API are stored in Neo4j to generate graph-based relationships between various features of Twitter data such as followers, mentions and retweets. In this paper, consensus approach based on Twitter data using heterogeneous features has been proposed based on various features such as like, mentions and retweets to generate individual list of top-k influential nodes based on each features.

The heterogeneous features are meant for integrating to accomplish identification and ranking tasks with low computational complexity, i.e. O(n), which is suitable for large-scale online social network with better accuracy than baselines.

Identified influential nodes can act as source in making public decisions and their opinion give insights to urban governance bodies such as municipal corporation as well as similar organization responsible for smart urban governance and smart city development.

The purpose of this study is to examine the advancement of cultural transformation over time demands certain alterations in human perceptions. It also aims to examine the 21st century’s many radical changes in India, the constant legal battles to decriminalize homosexuality, and challenges to the rigid dichotomy between heterosexuality and homosexuality. Besides, it influences popular culture among the masses, which has turned out to create a more visible space for the lesbian community. In India, lesbian literature begins synchronously under the shades of women’s writing and feminism that wires new hopes for their identity.

This paper examines a primary text as Indian writer Abha Dawesar’s Babyji (2005). There comes the iconic work of Abha Dawesar’s Babyji (2005), which creates a turning point by introducing the life, inner conflict and turbulence of a teenage girl. In addition, a textual analysis of this novel brings forth an analysis of attributes such as sexuality, gender and the interplay of caste and class that meld lesbian childhood and adolescence. This paper also examines how a lesbian girl adapts to and negotiates her maturation amidst vivid social scenarios and cultural conditioning.

A few studies (Hidalgo, et al., 2013; Bem, 1989; Pyne, 2016) show many children have reached or crossed their teenage life without accurate or affirmative knowledge of sexuality and gender. Parents, teachers and even other intellectuals of the adult world fail to transfer their knowledge effectively to children. Definitely, the relevance of sex education is paramount, but more important is what implementation tactics should be used for the same cause. The point is that sex education should not be condensed into a certain gender or perpetuate parochial discrimination. It needs to adapt an age-appropriate curriculum for the cognitive and emotional development of the individuals. Considering these factors, understanding comprehensive sex education is what is most likely to find sustainable remedies for this matter. Gerald writes about a socialization process and gays and lesbians hiding their identity from family and society; a fear of rejection; there is a social gap in peer and family spheres. These fears prevent lesbian or gay young persons from fully developing their identities (1999). Rao and Mason tested a model derived from minority stress theory in which the perceived impact of Section 377 increases depressive symptoms of sexual minorities by increasing concealment stress, leading to a diminished sense of belonging. Because of their minority status, they are more vulnerable to and have a higher prevalence of mental illness than heterosexual individuals (2018).

Babyji has created a discourse to perpetuate normativity and gives importance to the mental health of the excluded lesbian group. It opens a door to studying teenage groups’ issues and their challenges to understanding social and mental issues regarding their identity. A study on this untouched area is required to highlight their issues and mental health problems. This research is an initiative step to create and provide a platform to raise awareness in society.

The purpose of this paper is to provide an advertising history of Tata Steel from its inception in 1907 to 2007 when it completed 100 years of operation. The authors use postcolonial theory to highlight the intertwining of advertising with the broader project of anticolonial resistance and postcolonial nation-building.

The authors used a visual analysis of a compilation of advertisements published by Tata Steel to commemorate 100 years of its existence, spanning the years from 1907 to 2007. They also used ads and posters available on the website of the Tata Steel Archives. Published work on Tata Steel such as books and papers provided contextualization.

Advertising creatives, through selective deployment of anticolonial discourses, manage the contradictory pulls of emergent nationalism on the one hand and the pragmatic need to work with the colonial administration on the other. However, such a negotiation leads to moments of slippage, where advertising reinforces colonial tropes. At a broader level, the authors suggest that despite attempts to draw on subversive discourses of resistance used by nationalists, Tata Steel’s advertising is inescapably intertwined with the larger matrix of colonial and capitalist power.

This study contributes to a non-Western perspective on advertising history. Further, it provides understanding of the marketing activities of a large corporation, which straddles the colonial and postcolonial era of India, an important economy.

The purpose of this paper is to provide an in‐depth country perspective on work‐life balance issues in India.

A qualitative approach is used that includes case studies of work‐life interventions offered by a sample of Indian organizations. Primary and secondary data were gathered through interviews with HR managers and from company web sites.

Commonly offered work‐life interventions by Indian companies address issues of gender equality, flexibility, stress reduction, health awareness and childcare.

Sample of organizations in the study is purposive in nature and HR policies of smaller companies in the informal sector are not included. Future research needs to consider how India's unequal economic development across the organized and unorganized sectors may affect effectiveness of work‐life interventions.

Based on India's socio‐cultural realities additional work‐life interventions are suggested in the areas of elder care, employee training and commuting.

Organizational work‐life interventions in India are varied and disparate and have focused mainly on the formal sector. There is no overarching government policy addressing work and family issues across different sectors. Implicit gendering of governmental policies and work‐life initiatives covertly reifies patriarchal structures that make such interventions necessary in the first place.

The paper exclusively brings out connections between India's socio‐economic context and work‐family issues of employees, which no other study has achieved before.

This paper aims to review the licensing in India, including the development of universal licences and of the now infamous 2G spectrum scam.

This paper is a case study drawing on a side range of official documents, including inquiry reports, policies, licences and court judgements.

Liberalisation of the sector introduced opportunities for lobbying and corruption that lead to very unusual market structures, with many operators and too little spectrum.

Interviews with the principals were impossible.

It is now necessary for the government to adopt good governance processes, especially in respect of 4G and th inevitable consolidation of operators in a fair and equitable manner.

The governance systems are incapable of controlling the corruption in the telecommunications sector and require substantial redesign.

The paper is the first to relate corporate political activity and corruption to outcomes in the telecommunications sector in India.

This paper aims to understand the factors affecting the evolution of retailing in India since the mid-nineteenth century.

This paper compares the trajectories of four distinct retail stores in India – Spencer’s pan-Indian retailing empire since 1863, Akbarallys’ department store chain in Mumbai since 1897, Apna Bazar’s consumer cooperative chain in Mumbai since 1948 and the Future Group’s pan-Indian retailing chain since the 1980s. Historical sources include firm biographies and newspaper archives.

This paper proposes a systems theory linking environmental influences and service innovation, to explain the evolution of retailing in India since the mid-nineteenth century. The key environmental influence on retailing has been state patronage – colonialism and high-end department stores until the 1940s, socialism and cooperative stores until the 1980s and liberalisation with restricted foreign direct investment in retailing until 2015 associated with indigenous corporate large retail format stores. Service innovation in terms of home delivery and recreation of the bazaar atmosphere due to norms on gender and community have also interacted to shape individual success in modern retailing and the dominance of small shop retailing over the long run.

This paper questions standard accounts of retailing history in India that began with the late-twentieth century by showing the scale of a pan-Indian retailing chain in the early-twentieth century. It also provides an account of retailers that is missing in the current literature on the history of consumption in India.

Findings of this study will be useful to marketing professionals and teachers who wish to learn more about the history of retailing in India. It also shows how retailers navigated changes in the regulatory and business environment.

Through a comparative study, this paper outlines the environmental influences on retail formats and service innovation strategies that are required to serve the Indian market. It also brings to fore the significance of retailing chains in colonial India.

The study aims to establish the effect of personal resourcefulness and marital adjustment on job satisfaction and life satisfaction of working women in India.

A total of 300 women are studied – 100 each in the working women, home‐based working women, and homemakers categories – using the following scales: socio economic status scale, general health questionnaire, self‐esteem inventory, life satisfaction scale, perceived stress scale, marital adjustment scale, the self‐control schedule, and job satisfaction questionnaire.

It is found that the home‐based working women are the least stressed, most well adjusted, and the most satisfied with their careers among the groups studied. Their ways of perceiving and handling stress are found to be more effective than those used by women in the other two groups.

The study implicates women friendly work policies – like flexible job hours and home office – as well as a cooperative home environment and assistance for housework. Stress relief programmes, yoga and an overall change of attitude towards housework, female employees and sex roles are needed.

The study shows that a positive attitude towards their work in the family and adoption of practical family‐friendly policies by organizations is likely to enhance productivity for the female workforce. Various need‐based interventions are suggested.