33 research outputs found

    Rumour Veracity Estimation with Deep Learning for Twitter

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    Part 4: Security, Privacy, Ethics and MisinformationInternational audienceTwitter has become a fertile ground for rumours as information can propagate to too many people in very short time. Rumours can create panic in public and hence timely detection and blocking of rumour information is urgently required. We proposed and compare machine learning classifiers with a deep learning model using Recurrent Neural Networks for classification of tweets into rumour and non-rumour classes. A total thirteen features based on tweet text and user characteristics were given as input to machine learning classifiers. Deep learning model was trained and tested with textual features and five user characteristic features. The findings indicate that our models perform much better than machine learning based models

    Attention-based LSTM network for rumor veracity estimation of tweets

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    YesTwitter has become a fertile place for rumors, as information can spread to a large number of people immediately. Rumors can mislead public opinion, weaken social order, decrease the legitimacy of government, and lead to a significant threat to social stability. Therefore, timely detection and debunking rumor are urgently needed. In this work, we proposed an Attention-based Long-Short Term Memory (LSTM) network that uses tweet text with thirteen different linguistic and user features to distinguish rumor and non-rumor tweets. The performance of the proposed Attention-based LSTM model is compared with several conventional machine and deep learning models. The proposed Attention-based LSTM model achieved an F1-score of 0.88 in classifying rumor and non-rumor tweets, which is better than the state-of-the-art results. The proposed system can reduce the impact of rumors on society and weaken the loss of life, money, and build the firm trust of users with social media platforms

    Investigating the Impact of Social Media Commerce Constructs on Social Trust and Customer Value Co-creation: A Theoretical Analysis

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    Social media commerce has been one of the fastest-growing areas over recent years. However, only a limited number of studies have addressed the related issues of social media commerce. It was also noticed that extant literature did not explore or link the impact of social commerce constructs on social trust and how this could impact the customer value co-creation. Hence, the current research aims to identify this gap and to propose a conceptual framework that highlights the linkage between social commerce constructs, social trust, and customer value co-creation. In line with this, a number of exploratory interviews were conducted to gain further understanding about how the customer’s perception of customer value co-creation and social trust could be affected by the role of social commerce. Accordingly, the current model proposes that social commerce constructs (second-order; ratings and reviews, recommendations and referrals, and forums and communities) impact social trust, which in turn affects customer value co-creation dimensions (functional value, hedonic value, and social value) in social network sites (SNSs). Theoretical and practical implications are provided

    Examining the Factors Affecting Behavioural Intention to Adopt Mobile Health in Jordan

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    International audienceHealth organizations worldwide express a considerable attention to utilize Mobile technology applications to provide a better health services to their people. One of the most emerging apps in this regard is Mobile health (M-health). Large amount of efforts, money, and time have been invested to provide such innovative technology. Yet, the adoption rate of these systems is still low. Additionally, such system has never been examined over the Jordanian context. Thus, this study aims to test the most important factors that could shape the intention of Jordanian people to use Mhealth. Four factors: perceived usefulness, social influence, awareness, and innovativeness were proposed as key predictor of behavioural intention. Data was collected using convenience sample size of 365 and was analyzed using structural equation modelling. The main statistical findings supported the role of perceived usefulness, social influence, and innovativeness. More discussion will also be provided regarding the current study practical and theoretical implications

    The Role of Social Media in Citizen’s Political Participation

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    Part 5: Social Media and Open ComputingInternational audienceSocial media is becoming important tool for political participation and engagement. Interaction in social media has a strong influence on the propensity to participate in politics. In this research, we argue that IS is in the right position to improve understanding of social media influence in political communication and participation. In this study, the role of social media for political participation is discussed and the result shows that social media plays great role in terms of replacing traditional media, facilitating political engagement, strengthening strategic collaboration as well as the potential to influence governments decisions in relation with politics. We employed qualitative research methodology and concept analysis technique to transcribe interview that can help to identify and arrange the ideas and views of interviewees. Our study explored how citizens engaged in politics through social media. Thus, the media industry, political consultants, politicians, and citizens will need to adjust their behaviors to leverage this new competitive environment abstract should summarize the contents of the paper in short terms, i.e. 150–250 words

    Theoretical Framework for Digital Payments in Rural India: Integrating UTAUT and Empowerment Theory

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    Part 1: Technology Adoption, Diffusion and Ubiquitous ComputingInternational audienceIndian economy is considered as one of the most promising and fast growing among all developing countries in the world. In the current global scenario, India has a number of strengths namely younger population, greater access to mobile phones, increasing technical competence and digital literacy among others. Indian government initiated a number of steps to incorporate information technology (IT) tools in public institutions to increase transparency, remove middlemen, and minimize digital divide. Digital payment is one of the prominent applications of the ICT in the past couple of years due to some of the initiatives of government of India like demonetization, and digital India. However, around 67% of Indian Population still lives in rural areas and thereby it is imperative to understand the behavioral intention to use and its continuous usage of digital payments in rural population of India. This research attempts to develop a theoretical research framework by integrating psychological empowerment theory and the unified theory of acceptance and use of technology (UTAUT) to explore and understand perception of rural population towards digital payments in Indian context. Researchers using structural equation modeling or other statistical models may test the proposed research framework. In this research framework, second order of empowerment construct is proposed, which is rarely available in the extant literature. The findings of this research will be useful to government agencies, financial institutions, mobile and telecommunications operators, and researchers. This paper is a working paper and intends to further test the theoretical model proposed as the ongoing work
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