Bharat Arun Tidke, Rupa Mehta, Dipti Rana, Divyani Mittal and Pooja Suthar
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Jenish Dhanani, Rupa Mehta and Dipti P. Rana
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Mitali Desai, Rupa G. Mehta and Dipti P. Rana
Scholarly communications, particularly, questions and answers (Q&A) present on digital scholarly platforms provide a new avenue to gain knowledge. However, several studies have…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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Santosh Rupa Jaladi, Hema Doreswamy and Radhika Uttam
The COVID-19 pandemic pushed academic institutions to rapidly transition from tradition classroom teaching to online teaching methods globally, leading to huge disruption in the…
Abstract
The COVID-19 pandemic pushed academic institutions to rapidly transition from tradition classroom teaching to online teaching methods globally, leading to huge disruption in the academic world. Online teaching makes education accessible to people who may have struggled to attend the traditional classes. This transition is facilitated by advancement in technology, fuelled by tools like artificial intelligence (AI) and machine learning (ML). Higher education institutions are leveraging on these tools to enhance student learning process and student engagement. However, stakeholders are raising genuine concerns about ethical issues surrounding these platforms like plagiarism, reduced attention span of students. Reliance on these tools may limit the creativity of faculty and students. Usage of tools for regular administrative and academic tasks like grading and marking attendance can increase the process effectiveness at the same time. This will help in identifying strengths and areas for improvement of every student and offers feedback also based on those observations. Though concerns about the usage of AI tools in the classroom persist, the benefits offered by these tools cannot be undermined. It is important to study various ways of integrating these tools in the teaching pedagogy by being conscious of the ethical aspects. The study focuses on detailed analysis of AI tools applicable in education and research domain and the innovative methods of integrating the same in the classroom teaching. The study is based on qualitative data collected from secondary sources. Findings can be used by high education institutions for leveraging technology for better student engagement and improving performance.
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Mirela Panait, Eglantina Hysa, Lukman Raimi, Alba Kruja and Antonio Rodriguez
Roshan K. Morve and Manohar Dugaje
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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).
Originality/value
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.
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Hari Sreekumar and Sankalp Pratap
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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This paper aims to review the licensing in India, including the development of universal licences and of the now infamous 2G spectrum scam.
Abstract
Purpose
This paper aims to review the licensing in India, including the development of universal licences and of the now infamous 2G spectrum scam.
Design/methodology/approach
This paper is a case study drawing on a side range of official documents, including inquiry reports, policies, licences and court judgements.
Findings
Liberalisation of the sector introduced opportunities for lobbying and corruption that lead to very unusual market structures, with many operators and too little spectrum.
Research limitations/implications
Interviews with the principals were impossible.
Practical implications
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.
Social implications
The governance systems are incapable of controlling the corruption in the telecommunications sector and require substantial redesign.
Originality/value
The paper is the first to relate corporate political activity and corruption to outcomes in the telecommunications sector in India.
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Malavika Desai, Bishakha Majumdar, Tanusree Chakraborty and Kamalika Ghosh
The study aims to establish the effect of personal resourcefulness and marital adjustment on job satisfaction and life satisfaction of working women in India.
Abstract
Purpose
The study aims to establish the effect of personal resourcefulness and marital adjustment on job satisfaction and life satisfaction of working women in India.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.