Faculty Publications
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Item Policies to Mitigate Select Consequence of Social Media: Insights from India(Springer, 2020) Chetty, N.; Alathur, S.Apart from the benefits to humanity, often, social media possess consequences such as online hate content, fake news, online abuse, cyber-bullying and other demeaning expressions. As the increased hate content causes several health issues, it is necessary to mitigate it. Hate content mitigation may attain sustainable development goals of United Nations. Therefore, the objective of the article is to identify the possible policies to mitigate social media consequence-online hate content. In this regard, online and offline opinions from the Indian respondents are gathered through the questionnaire designed for the purpose. The software which is developed in R programming language is used to analyse opinions. The analysis results reveal the role of government and non-government authorities for digital hate content reduction. The non-governmental communities-civil societies, private sectors, and intermediaries are more important to reduce digital hate content. © 2020, Springer Nature Singapore Pte Ltd.Item Child Online Safety Intervention Through Empowering Parents and Technical Experts: Indian Context(Springer Science and Business Media Deutschland GmbH, 2020) Andrews, D.; Alathur, S.; Chetty, N.Child online safety is a state of being protected from online problematic content and environment. Purpose of this study is to examine the stakeholders’ empowered status influence on child online safety. Using questionnaires survey responses on relational aspects of stakeholder empowerment and child online safety is collected from parents and technical experts who were working with the Internet safety. The responses are analyzed with the help of SPSS software and the results are examined for influencing factors of child online safety. Restricting resources, blocking at different levels and parental control are the different influencing factors of child online safety. As the parental control influencing factor exists with both the models of parents and technical experts initiated, it plays an important role in attaining child online safety. The influencing factors which are observed from the study can be emphasized to control child online threats and provide online safety. © 2020, IFIP International Federation for Information Processing.Item Developing Indian Smart Cities: Insights from Social Media(Springer Science and Business Media Deutschland GmbH, 2020) Chetty, N.; Alathur, S.Smart cities play an important role in overall development of a nation by progressing with economic, environmental and social domains. India has projected to create 100 smart cities in near future. The purpose of the paper is to identify the key influencing components and the social media users’ expectations for smart cities development in India. The Twitter social media content of smart cities council and the user posts on smart cities are collected through Twitter application programming interface. The collected tweets are cleaned by pre-processing methods and analyzed for insights. Technology, infrastructure, innovation, transport, mobility and management are the key influencing components for smart cities development in India. The social media users are expecting to emphasize on combating the issues like Covid-19 and use of IoT technology for the success of smart cities project. The integration of different components could increase the success of the project. The analysis of the content shared by the groups (smart cities council and the social media users) which are at different sides of smart cities’ development project, increases the novelty of the study. © 2020, IFIP International Federation for Information Processing.Item Racism and social media: A study in Indian context(Inderscience Publishers, 2019) Chetty, N.; Alathur, S.Racism is a kind of hatred behaviour, exhibited in written, verbal or physical form against the ethnicity or physical appearance of a group or an individual. Around the world, problematic behavioural incidents occur and in India, media often interpret it as towards people of colour or blacks. There was a lot of discussion about these incidents both online and offline, some groups consider that India is not free from racism and others view it is of misinformation processing. Therefore, there is a requirement of a system to evaluate and determine the possible scenarios towards racism in India. In this regard, using four different sets of keywords we created Twitter datasets. The data collected from social media are analysed to identify the polarity of content and the amount of racism using the software developed in R programming language. Contents are categorised in different polarities such as racist, non-racist and neutral. © © 2019 Inderscience Enterprises Ltd.Item Honour, hate and violence in social media: Insights from India(Inderscience Publishers, 2019) Chetty, N.; Alathur, S.Honour-based hate content is predominantly generated from family hate content and may affect humanity. In the Indian context, analysis of multiple resources such as literature, reported articles and social media sites pertinent to honour-based hate content is less. Therefore, the purpose of this paper is to identify and understand the influencing factors and emotions of honour-based hate content. A review of literature, news articles on honour killing and the analysis of Twitter content are made to attain the purpose. In India, factor like marrying a person against family members' ideologies is observed as dominating among other factors of honour-based hate content. It has been also observed that emotions such as anger, fear, disgust and sadness are used to express hate. Possible impacts of honour-based hate content on family and society are discussed. The analysis of emotions about honour and hate content increases novelty of the article. © 2019 Inderscience Enterprises Ltd.Item Identity-Based Online Hate Content: Empirical Analysis(IGI Global, 2021) Chetty, N.; Alathur, S.The content which is expressed over the internet and its associated social media based on any of the protected characteristics like gender, religion, race, and disability is referred to as online hate content. This article aims to examine the user responses on online hate content and determine the predictors of online hate content. With an objective to identify the determinants of online hate content, the data has been collected from 716 internet users using a research instrument designed for the purpose. Both online and offline modes are used for collecting the data. A comprehensive analysis is made using partial least squares path modeling (PLS-PM) package from an open-source software R. The analysis of structural model revealed that the attitude and opinions towards different protected characteristics such as gender, religion, race, and disability are influencers of online hate content. Further, the analysis of measurement models revealed the role of measuring indicators. © © 2021, IGI Global.