A deep multi-modal neural network for informative Twitter content classification during emergencies

YesPeople start posting tweets containing texts, images, and videos as soon as a disaster hits an area. The analysis of these disaster-related tweet texts, images, and videos can help humanitarian response organizations in better decision-making and prioritizing their tasks. Finding the informative contents which can help in decision making out of the massive volume of Twitter content is a difficult task and require a system to filter out the informative contents. In this paper, we present a multi-modal approach to identify disaster-related informative content from the Twitter streams using text and images together. Our approach is based on long-short-term-memory (LSTM) and VGG-16 networks that show significant improvement in the performance, as evident from the validation result on seven different disaster-related datasets. The range of F1-score varied from 0.74 to 0.93 when tweet texts and images used together, whereas, in the case of only tweet text, it varies from 0.61 to 0.92. From this result, it is evident that the proposed multi-modal system is performing significantly well in identifying disaster-related informative social media contents

Towards Cyberbullying-free social media in smart cities: a unified multi-modal approach

YesSmart cities are shifting the presence of people from physical world to cyber world (cyberspace). Along with the facilities for societies, the troubles of physical world, such as bullying, aggression and hate speech, are also taking their presence emphatically in cyberspace. This paper aims to dig the posts of social media to identify the bullying comments containing text as well as image. In this paper, we have proposed a unified representation of text and image together to eliminate the need for separate learning modules for image and text. A single-layer Convolutional Neural Network model is used with a unified representation. The major findings of this research are that the text represented as image is a better model to encode the information. We also found that single-layer Convolutional Neural Network is giving better results with two-dimensional representation. In the current scenario, we have used three layers of text and three layers of a colour image to represent the input that gives a recall of 74% of the bullying class with one layer of Convolutional Neural Network.Ministry of Electronics and Information Technology (MeitY), Government of Indi

Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT)

YesBy employing an extended social cognitive theory, this study examines factors (such as outcome expectation, affect, anxiety, self-efficacy and social influence) influencing intention to adopt an electronic government system called online public grievance redressal system (OPGRS) in context of India. The extended social cognitive theory (SCT) was validated using 419 responses collected from eight selected cities in India. The empirical outcomes of the proposed model indicated the significant relationships of seven hypothesised relationships between six constructs. This is the first study, which has used the SCT model to understand the adoption of an e-government system. The policy implication provided in this research can help the government to improve upon the effectiveness and quality of the system and the level of social impact on the users by employing the project champions. It also helps in enhancing their positive feelings toward adopting this system and fully utilise the potential of the OPGRS as a useful tool toward a transparent and corruption free society

Can clicking promote learning? measuring student learning performance using clickers in the undergraduate information systems class

YesPurpose The purpose of this paper is to explore the impact of factors such as attention, preparation, participation, feedback and engagement on the student learning performance. Design/methodology/approach Students of an undergraduate business course of a British university took part in the survey. The survey questionnaire was distributed to students during the revision week of the course and a total of 61 valid responses were gathered from them. The linear regression analysis using statistical package for the social sciences was performed to analyse the data. Findings The results indicated the significant relationships for all six hypotheses. The model explains variance of 43.2 per cent in learning performance, which indicates that independent constructs contribute significantly on the research model's performance. Research limitations/implications First, the sample only provides the students' views about the use of clickers in the classroom setting. Second, the sample size for the gathered data is small. Third, the variance explained by the research model is reasonably moderate and hence can be improved further. Originality/value This is the first study to explore the impact of factors such as attention, preparation, participation, feedback and engagement on the student learning performance in the UK educational setting

Perceived helpfulness of eWOM: emotions, fairness and rationality

YesConsumers use online reviews to help make informed purchase decisions. This paper extends existing research by examining how content of online reviews influences perceptions of helpfulness by demonstrating how different emotions can influence helpfulness of both product and service online reviews beyond a valence-based approach using cognitive appraisal theory and attribution theory. This research contributes to existing knowledge regarding the theory of information processing, attribution theory, and cognitive appraisal theory of emotions. Using findings from this study, practitioners can make review websites more user-friendly which will help readers avoid information overload and make more informed purchase decisions

Working from Home During Covid-19: Doing and Managing Technology-enabled Social Interaction With Colleagues at a Distance

YesWith the overnight growth in Working from Home (WFH) owing to the pandemic, organisations and their employees have had to adapt work-related processes and practices quickly with a huge reliance upon technology. Everyday activities such as social interactions with colleagues must therefore be reconsidered. Existing literature emphasises that social interactions, typically conducted in the traditional workplace, are a fundamental feature of social life and shape employees' experience of work. This experience is completely removed for many employees due to the pandemic and, presently, there is a lack of knowledge on how individuals maintain social interactions with colleagues via technology when working from home. Given that a lack of social interaction can lead to social isolation and other negative repercussions, this study aims to contribute to the existing body of literature on remote working by highlighting employees' experiences and practices around social interaction with colleagues. This study takes an interpretivist and qualitative approach utilising the diary-keeping technique to collect data from twenty-nine individuals who had started to work from home on a full-time basis as a result of the pandemic. The study explores how participants conduct social interactions using different technology platforms and how such interactions are embedded in their working lives. The findings highlight the difficulty in maintaining social interactions via technology such as the absence of cues and emotional intelligence, as well as highlighting numerous other factors such as job uncertainty, increased workloads and heavy usage of technology that affect their work lives. The study also highlights that despite the negative experiences relating to working from home, some participants are apprehensive about returning to work in the traditional office place where social interactions may actually be perceived as a distraction. The main contribution of our study is to highlight that a variety of perceptions and feelings of how work has changed via an increased use of digital media while working from home exists and that organisations need to be aware of these differences so that they can be managed in a contextualised manner, thus increasing both the efficiency and effectiveness of working from home

Social media research in the context of emerging markets: an analysis of extant literature from information systems perspective

YesPurpose: Despite the potential of social media in emerging markets (EMs), only few studies published in high quality information systems (IS) journals that have addressed issues related to social media in the context of EMs. This study aims to analyse existing research related to social media published in high quality IS journals for exploring initial research trends, emerging themes, limitations and future research directions in the context of emerging markets. Design/methodology/approach: This study conducted systematic review of 22 articles on social media, which were published in the “Senior Scholars Basket of IS Journals and Information Systems Frontiers” from 1997 to 2017. Manual literature search approach (i.e. screening through table of contents of each journal) was employed to identify relevant articles. The content of relevant articles was systematically analysed and synthesised along with keyword analysis to understand research trends on social media related issues in the emerging markets context. Findings: The study identified four major themes from existing research on the social media in the context of emerging markets, namely: 1) Social media frameworks; 2) Social media and consumers; 3) Social media and organisations; and 4) Social media and society with majority of the studies focusing on consumers. Single Subject was found as the major limitation with studies analysed focusing on single platform/country/domain hindering the generalizability whereas including new exogenous variable to improve the validity of existing studies emerged as main future research direction. Originality/value: This study conducted literature review on social media in EMs, which has not been undertaken yet. Moreover, it employed manual search (an effort and time intensive approach) to overcome the shortcomings of keyword search to identify, locate, select and analyse the social media literature in the context of emerging markets

The impact of social networking sites on socialization and political engagement: Role of acculturation

YesThis research examines the extent to which immigrant consumers' use of social networking sites affect their socialization and political engagement in the Netherlands. The study uses self-administered questionnaires to collect data from 514 Turkish-Dutch respondents of various ages, occupations, levels of education and locations in the Netherlands. The study finds that the propensity to share information, the intensity of use, and privacy concerns positively impact socialization on online social networking sites. In addition, a significant positive relationship between socialization and political involvement positively impacts voting intentions. The study also examines the interaction effects of enculturation and acculturation orientations on the relationship between socialization and political involvement. The study's findings point to a positive moderating role of acculturation in this relationship but a negative one for enculturation. The study is the first to investigate simultaneously the drivers of socialization on social networking sites in the context of immigrant consumers and the impact of their socialization on political involvement and voting intention. The research further contributes to the scholarly work by exploring the interaction effects of acculturation and enculturation orientation. Theoretical and practical implications are discussed

Examining the influence of intermediaries in facilitating e-government adoption: an empirical investigation

YesThe adoption and diffusion of electronic government is often impeded by many social and individual factors relating to citizens. In this respect, intermediaries have emerged as a new model for delivering e-government services to overcome such obstacles. This study aims to examine the role of intermediaries in facilitating e-government adoption and diffusion using a survey based empirical study of 502 participants in Madinah City in Saudi Arabia. An extended UTAUT model is used as the theoretical basis utlising trust in the Internet and Intermediaries. The results of this study show that there are significant relationships among the factors that influence intention to use e-government, namely, performance expectancy, effort expectancy, and trust of intermediary. In addition, the findings show that there is a significant relationship between facilitating conditions and usage behaviour proving that intermediaries can influence adoption of e-government services

Unanticipated consequences of interactive marketing: systematic literature review and directions for future research

YesInternet and social media have created new opportunities and challenges for marketing practices. This research provides a comprehensive analysis of the unanticipated consequences of interactive marketing. The current study focuses on a number of aspects of interactive marketing research such as consumer-to-consumer and consumer-to-company communications, consumer brand engagement, impact of social influencers and online buzz, impact of online advertisement, companies adoption and use of new technologies by companies, consumer empowerment by digital technologies, complain handling, impact of mobile advertising, co-creation, and impact of social media marketing. This research provides a valuable synthesis of the relevant literature. The findings of this study could be used as an informative framework for both academics and practitioners