Conference Papers
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Item Trigger Event and Hate Content: Insights from Twitter Analytics(Institute of Electrical and Electronics Engineers Inc., 2019) Chetty, N.; Alathur, S.The problematic act damages the target and seeds the fear in the neighborhood. Social media sites are used for planning and coordinating problematic acts. The problematic act is a trigger event which influences hatred feeling. The objective of the paper is to analyze the aftermath of a recent problematic incident in the southern part of the Asian continent from Twitter content. After the problematic incident, citizens used to share their views over social media sites. A total of 48,819 opinions shared through Twitter social media are collected and analyzed using the software developed in the R programming language. The results show hatred against the problematic act through different related emotions. Results also contain more negative tweets which are almost thrice the positive tweets. Fear and anger emotions exhibit a high degree of emotions than the other. © 2019 IEEE.Item E-learning services: Insights from Twitter Analytics(Institute of Electrical and Electronics Engineers Inc., 2019) Vanitha, P.S.; Alathur, S.Electronic learning is a formalized teaching-learning service using electronic resources. With the help of Information and Communication Technologies (ICTs), knowledge can be shared via the Internet anywhere, anytime. Although, the massive growth of technologies available, e-learning service may not distribute equally in developing countries like India. The objective of the study is to explore the technological challenges of e-learning services in the Indian context. In the present study, the real-Time feedback about the technological challenges is collected directly from Twitter social media. Initially, the tweets were extracted based on the hashtags, and the location-based analysis is performed using geocoding. In this study, various types of technological challenges are identified, and the most influential factor is determined. It gives better results when this research is carried on developing countries like India. The suggestion provided in this research will help to decrease the technological challenges in the e-learning service. © 2019 IEEE.Item Mobile health system framework in India(Association for Computing Machinery, 2019) Pai, R.R.; Alathur, S.The healthcare system in India has been progressive with the specific health policies evolved over a period of time. Currently, it is in a phase of incorporating mobile technology into healthcare service delivery (i.e., mobile health) to make it a patient-centric model for managing acute, chronic, and preventive health conditions. This provides authentic interactions between the patient/user and the healthcare professionals for seeking health communication and information during emergencies and disaster conditions. However, there exists a great challenge in integrating mobile health solutions within the existing system and acceptance among the individuals, as the patient data is primarily collected through sensors and while the interventions are connected electronically. With this aim, the present research by using qualitative interviews (among residents and technology entrepreneurs) attempts to propose a provenance framework for the mobile health system in India. It also highlights its strengths and weakness and delineates components identified from qualitative interviews for describing the proposed provenance framework. © 2019 Association for Computing Machinery.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 Health Fear Mongering Make People More Sicker: Twitter Analysis in the Context of Corona Virus Infection(Springer Science and Business Media Deutschland GmbH, 2020) Jayan, J.; Alathur, S.The purpose of this study is to assess the fear factor in Social media data in the context of Coronavirus Disease - 2019(COVID-19) across the globe. The fear generated from social media content will adversely affect the mental health of the public. Design/methodology/approach: The study is followed by a literature survey during the emergence of social media and Internet technologies since the year 2006 where the people commonly started to use the internet across the world. The Twitter data collected on COVID-19 during the infection period and the analysis. Findings: The social media contents adversely affect the mental health of the common public and also the healthcare programs run by the government organizations to some extent. The findings show that the social media are the major source of fear-mongering information and the people behind the fear-mongering are making use of the disaster situation to set their agenda. The strict enactment of law and the efforts by the social media platforms can reduce the fake news and misinformation. Research limitations/implications: The research focuses only on the Twitter data for the analysis during the COVID-19 distress. The detailed study needs to be done in similar distress situations across the globe. The data retrieval became limited from different social media platforms because of privacy issues. © 2020, IFIP International Federation for Information Processing.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 Vaccination drive and cyber threats in India(Association for Computing Machinery, 2020) Jayan, J.; Alathur, S.Misinformation in social network sites (SNS) is increasing alarmingly and is also affected the healthcare sector especially the developing country like India. The public health programs and the life of people itself are under severe threat. The study is focused on the trends in decreasing vaccination rates in the context of the Measles-Rubella (MR) vaccination drive in India. Twitter data, news reports, and social media posts during the MR vaccination program in India are taken into consideration for the analysis. Vaccine hesitancy has become a global challenge for immunization programs. There are many factors related to vaccine Hesitancy. Based on the methods and study, we had concluded the factors affected the immunization program and suggested the measures to overcome the vaccine hesitancy. The vaccine hesitancy is also associated with political, religious, Psychological and Economic factors in India. These are used by the anti-vaccination campaigners for their vested interests. The vested interests can be propagated during any national or International campaigns and it will get much attention during this time. Social media has been used widely to promote the antivaccination campaign which is supported by misinformation and also the fake news. © 2020 ACM.Item Determinants of mobile health application awareness and use in India: An empirical analysis(Association for Computing Machinery, 2020) Pai, R.R.; Alathur, S.Purpose-To examine the influence of mobile health in improving health service delivery in India. With this aim, the current research examines the role of individuals' cognitive factors, characteristics of mobile-service, and health-related behaviour from a technology viewpoint towards awareness and use of mobile health applications. Design/methodology/approach-Quantitative approach has been used with data being collected both online and offline through structured questionnaires. The factors for determining variables for awareness and use were prepared based on technology acceptance and health belief literature. A sample size of 528 responses was analysed using structural equation modelling. Findings-Mobile service enabled empowerment and health information orientation were found to have a direct influence on awareness and use. Originality/value-Earlier studies on mobile health relating to India explains its importance in health service delivery and were adequate in explaining individuals' cognitive factors, characteristics of mobile-service, and health-related behaviour from a technology viewpoint on awareness and use. Therefore, the current study attempts to establish relationships between these factors for measuring awareness and use. Drawing on the statistical inferences, the implication has been recommended. © 2020 ACM.Item 2019-nCoV disease control and rehabilitation: Insights from twitter analytics(Institute of Electrical and Electronics Engineers Inc., 2020) Chetty, N.; Alathur, S.; Kumar, V.Coronaviruses are the large family of viruses and life threatening with the capabilities to cause respiratory related diseases. The current outbreak of 2019-nCoV (novel Coronavirus) is challenging governance authorities and health care systems around the globe. The epidemic of 2019-nCoV is affecting people globally. The purpose of this paper is to examine the current status of disease control and rehabilitation in relation to outbreak of 2019-nCoV. In this regard, the Twitter social media contents are collected, analyzed and interpreted. Using a set of appropriate keywords, 110000 tweets are extracted from Twitter social media. The collected tweets are first pre-processed and then analyzed with a software developed in R language. The discussions on social media in relation to the outbreak of 2019-nCoV involves disease control, rehabilitation and anti-rehabilitation. Expressions involving specific locations revealed that the discussions are more oriented towards antirehabilitation than rehabilitation and disease control. The content analysis also revealed that the outbreak epidemic victimizes those who possess weaker immune system. © 2020 IEEE.