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- Keyword
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- Behaviour change (2)
- Classification (2)
- Digital addiction (2)
- Intervention (2)
- Machine learning (2)
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- Natural language processing (2)
- Sentiment analysis (2)
- Social media (2)
- Social networking (online) (2)
- AI (1)
- Academic libraries (1)
- Adolescent (1)
- Adult (1)
- Adverse effects (1)
- Air Pollution (1)
- Air pollution (1)
- Air quality (1)
- Arabic AND conjunctive patterns (1)
- Arabic fake news (1)
- Arabic grammar (1)
- Arabic news dataset (1)
- Article (1)
- Article credibility (1)
- Artificial intelligence (1)
- Artificial neural networks (1)
- Asthma (1)
- Autism (1)
- Autobiographical reasoning (1)
- Behavior (1)
- Bidirectional long short-term memory (1)
Articles 1 - 23 of 23
Full-Text Articles in Physical Sciences and Mathematics
The Metaverse, Religious Practice And Wellbeing: A Narrative Review, Justin Thomas, Mohammad Amin Kuhail, Fahad Albeyahi
The Metaverse, Religious Practice And Wellbeing: A Narrative Review, Justin Thomas, Mohammad Amin Kuhail, Fahad Albeyahi
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The metaverse is touted as the next phase in the evolution of the Internet. This emerging digital ecosystem is widely conceptualized as a persistent matrix of interconnected multiuser, massively scaled online environments optimally experienced through immersive digital technologies such as virtual reality (VR). Much of the prognostication about the social implications of the metaverse center on secular activities. For example, retail, entertainment (gaming/concerts), and social networking. Little attention has been given to how the metaverse might impact religion. This narrative review explores contemporary research into online religious practice and the use of immersive digital technologies for religious purposes. This focus …
Migrating 120,000 Legacy Publications From Several Systems Into A Current Research Information System Using Advanced Data Wrangling Techniques, Yrjö Lappalainen, Matti Lassila, Tanja Heikkilä, Jani Nieminen, Tapani Lehtilä
Migrating 120,000 Legacy Publications From Several Systems Into A Current Research Information System Using Advanced Data Wrangling Techniques, Yrjö Lappalainen, Matti Lassila, Tanja Heikkilä, Jani Nieminen, Tapani Lehtilä
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This article describes a complex CRIS (current research information system) implementation project involving the migration of around 120,000 legacy publication records from three different systems. The project, undertaken by Tampere University, encountered several challenges in data diversity, data quality, and resource allocation. To handle the extensive and heterogenous dataset, innovative approaches such as machine learning techniques and various data wrangling tools were used to process data, correct errors, and merge information from different sources. Despite significant delays and unforeseen obstacles, the project was ultimately successful in achieving its goals. The project served as a valuable learning experience, highlighting the importance …
Aisha: A Custom Ai Library Chatbot Using The Chatgpt Api, Yrjo Lappalainen, Nikesh Narayanan
Aisha: A Custom Ai Library Chatbot Using The Chatgpt Api, Yrjo Lappalainen, Nikesh Narayanan
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This article focuses on the development of a custom chatbot for Zayed University Library (United Arab Emirates) using Python and the ChatGPT API. The chatbot, named Aisha, was designed to provide quick and efficient reference and support services to students and faculty outside the library's regular operating hours. The article also discusses the benefits of chatbots in academic libraries, and reviews the early literature on ChatGPT's applicability in this field. The article describes the development process, perceived capabilities and limitations of the bot, and plans for further development. This project represents the first fully reported attempt to explore the potential …
Responses To Sad Emotion In Autistic And Normal Developing Children: Is There A Difference?, Mohamed Basel Almourad, Emad Bataineh, Zelal Wattar
Responses To Sad Emotion In Autistic And Normal Developing Children: Is There A Difference?, Mohamed Basel Almourad, Emad Bataineh, Zelal Wattar
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This paper describes how the gazing pattern differ between the responses of Normal Developing (ND) and Autistic (AP) children to sad emotion. We employed an eye tracking technology to collect and track the participants’ eye movements by showing a dynamic stimulus (video) that showed a gradual transition from pale emotions to melancholy facial expressions in both female and male faces. The location of the child's gaze in the stimulus was the focus of our data analysis. We deduced that there was a distinction between the two groups based on this. ND children predominantly concentrated on the eyes and mouth region …
Semantic Orientation Of Crosslingual Sentiments: Employment Of Lexicon And Dictionaries, Arslan Ali Raza, Asad Habib, Jawad Ashraf, Babar Shah, Fernando Moreira
Semantic Orientation Of Crosslingual Sentiments: Employment Of Lexicon And Dictionaries, Arslan Ali Raza, Asad Habib, Jawad Ashraf, Babar Shah, Fernando Moreira
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Sentiment Analysis is a modern discipline at the crossroads of data mining and natural language processing. It is concerned with the computational treatment of public moods shared in the form of text over social networking websites. Social media users express their feelings in conversations through cross-lingual terms, intensifiers, enhancers, reducers, symbols, and Net Lingo. However, the generic Sentiment Analysis (SA) research lacks comprehensive coverage about such abstruseness. In particular, they are inapt in the semantic orientation of Crosslingual based code switching, capitalization and accentuation of opinionative text due to the lack of annotated corpora, computational resources, linguistic processing and inefficient …
E-Device Purchase And Disposal Behaviours In The Uae: An Exploratory Study, Ayisha Siddiqua, Maisa El Gamal, Waheed Kareem Abdul, Lama Mahmoud, Fares M. Howari
E-Device Purchase And Disposal Behaviours In The Uae: An Exploratory Study, Ayisha Siddiqua, Maisa El Gamal, Waheed Kareem Abdul, Lama Mahmoud, Fares M. Howari
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The United Arab Emirates (UAE) is one of the high-income countries in the Middle Eastern region and is vying for sustainable development in every sector. One of the UAE sustainable development goals is to ensure sustainable consumption and production patterns; hence, the emphasis is on circular economy. UAE is one of largest consumers of e-devices, and their proper disposal is of paramount importance. E-waste disposal awareness leads to better disposal behaviors. Therefore, the purpose of the study was to understand the e-device purchase and disposal behaviour among university communities in the UAE. A survey was conducted among the students and …
Afnd: Arabic Fake News Dataset For The Detection And Classification Of Articles Credibility, Ashwaq Khalil, Moath Jarrah, Monther Aldwairi, Manar Jaradat
Afnd: Arabic Fake News Dataset For The Detection And Classification Of Articles Credibility, Ashwaq Khalil, Moath Jarrah, Monther Aldwairi, Manar Jaradat
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The news credibility detection task has started to gain more attention recently due to the rapid increase of news on different social media platforms. This article provides a large, labeled, and diverse Arabic Fake News Dataset (AFND) that is collected from public Arabic news websites. This dataset enables the research community to use supervised and unsupervised machine learning algorithms to classify the credibility of Arabic news articles. AFND consists of 606912 public news articles that were scraped from 134 public news websites of 19 different Arab countries over a 6-month period using Python scripts. The Arabic fact-check platform, Misbar, is …
Combatting Digital Addiction: Current Approaches And Future Directions, Deniz Cemiloglu, Mohamed Basel Almourad, John Mcalaney, Raian Ali
Combatting Digital Addiction: Current Approaches And Future Directions, Deniz Cemiloglu, Mohamed Basel Almourad, John Mcalaney, Raian Ali
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In recent years, the notion of digital addiction has become popular. Calls for solutions to combat it, especially in adolescents, are on the rise. Whilst there remains debate on the status of this phenomenon as a diagnosable mental health condition; there is a need for prevention and intervention approaches that encourage individuals to have more control over their digital usage. This narrative review examines digital addiction countermeasures proposed in the last ten years. By countermeasures, we mean strategies and techniques for prevention, harm reduction, and intervention towards addictive digital behaviours. We include studies published in peer-reviewed journals between 2010 and …
A Systematic Literature Review On Spam Content Detection And Classification, Sanaa Kaddoura, Ganesh Chandrasekaran, Daniela Elena Popescu, Jude Hemanth Duraisamy
A Systematic Literature Review On Spam Content Detection And Classification, Sanaa Kaddoura, Ganesh Chandrasekaran, Daniela Elena Popescu, Jude Hemanth Duraisamy
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The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, i.e ., Facebook, Twitter, YouTube, and E-mail. The time spent by people using social media is overgrowing, especially in the time of the pandemic. Users get a lot of text messages through social media, and they cannot recognize the spam content in these messages. Spam messages contain malicious links, apps, fake accounts, fake news, reviews, rumors, etc. To improve social media security, the detection and control of spam text are …
Leveraging Natural Language Processing To Analyse The Temporal Behavior Of Extremists On Social Media, May El Barachi, Sujith Samuel Mathew, Farhad Oroumchian, Imene Ajala, Saad Lutfi, Rand Yasin
Leveraging Natural Language Processing To Analyse The Temporal Behavior Of Extremists On Social Media, May El Barachi, Sujith Samuel Mathew, Farhad Oroumchian, Imene Ajala, Saad Lutfi, Rand Yasin
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Aiming at achieving sustainability and quality of life for citizens, future smart cities adopt a data-centric approach to decision making in which assets, people, and events are constantly monitored to inform decisions. Public opinion monitoring is of particular importance to governments and intelligence agencies, who seek to monitor extreme views and attempts of radicalizing individuals in society. While social media platforms provide increased visibility and a platform to express public views freely, such platforms can also be used to manipulate public opinion, spread hate speech, and radicalize others. Natural language processing and data mining techniques have gained popularity for the …
Autobiographical Meaning Making Protects The Sense Of Self-Continuity Past Forced Migration, Christin Camia, Rida Zafar
Autobiographical Meaning Making Protects The Sense Of Self-Continuity Past Forced Migration, Christin Camia, Rida Zafar
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Forced migration changes people’s lives and their sense of self-continuity fundamentally. One memory-based mechanism to protect the sense of self-continuity and psychological well-being is autobiographical meaning making, enabling individuals to explain change in personality and life by connecting personal experiences and other distant parts of life to the self and its development. Aiming to replicate and extend prior research, the current study investigated whether autobiographical meaning making has the potential to support the sense of self-continuity in refugees. We therefore collected life narratives from 31 refugees that were coded for autobiographical reasoning, selfevent connections, and global narrative coherence. In line …
An Empirical Investigation Of U.K. Environmental Targets Disclosure: The Role Of Environmental Governance And Performance, Tantawy Moussa, Amr Kotb, Akrum Helfaya
An Empirical Investigation Of U.K. Environmental Targets Disclosure: The Role Of Environmental Governance And Performance, Tantawy Moussa, Amr Kotb, Akrum Helfaya
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Although an increasing number of companies have publicly declared environmental targets (ETs), scant research has been conducted in this area. This study, therefore, investigates the extent of corporate environmental targets disclosure (ETD) and empirically examines whether environmental governance and performance influence the ETD of companies in the U.K. during the 2005–2013 period. We find that firms show a large degree of variability and inconsistency in their reporting of ETs. The results indicate that U.K. firms, particularly those with high environmental sensitivity, tend to disclose symbolic soft or semi-hard ETs to manage stakeholder perceptions and legitimize their existence. Moreover, Global Reporting …
Toward Tweet-Mining Framework For Extracting Terrorist Attack-Related Information And Reporting, Farkhund Iqbal, Rabia Batool, Benjamin C. M. Fung, Saiqa Aleem, Ahmed Abbasi, Abdul Rehman Javed
Toward Tweet-Mining Framework For Extracting Terrorist Attack-Related Information And Reporting, Farkhund Iqbal, Rabia Batool, Benjamin C. M. Fung, Saiqa Aleem, Ahmed Abbasi, Abdul Rehman Javed
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The widespread popularity of social networking is leading to the adoption of Twitter as an information dissemination tool. Existing research has shown that information dissemination over Twitter has a much broader reach than traditional media and can be used for effective post-incident measures. People use informal language on Twitter, including acronyms, misspelled words, synonyms, transliteration, and ambiguous terms. This makes incident-related information extraction a non-trivial task. However, this information can be valuable for public safety organizations that need to respond in an emergency. This paper proposes an early event-related information extraction and reporting framework that monitors Twitter streams synthesizes event-specific …
Perceptions And Misperceptions Of Smartphone Use: Applying The Social Norms Approach, John Mcalaney, Mohamed Basel Almourad, Georgina Powell, Raian Ali
Perceptions And Misperceptions Of Smartphone Use: Applying The Social Norms Approach, John Mcalaney, Mohamed Basel Almourad, Georgina Powell, Raian Ali
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The social norms approach is an established technique to bring about behaviour change through challenging misperceptions of peer behaviour. This approach is limited by a reliance on self-report and a lack of interactivity with the target population. At the same time, excessive use of digital devices, known as digital addiction, has been recognized as an emergent issue. There is potential to apply the social norms approach to digital addiction and, in doing so, address some of the limitations of the social norms field. In this study, we trialled a social norms …
Real-Time Tracking And Mining Of Users’ Actions Over Social Media, Ejub Kajan, Noura Faci, Zakaria Maamar, Mohamed Sellami, Emir Ugljanin, Hamamache Kheddouci, Dragan H. Stojanović, Djamal Benslimane
Real-Time Tracking And Mining Of Users’ Actions Over Social Media, Ejub Kajan, Noura Faci, Zakaria Maamar, Mohamed Sellami, Emir Ugljanin, Hamamache Kheddouci, Dragan H. Stojanović, Djamal Benslimane
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© 2020, ComSIS Consortium. All rights reserved. With the advent of Web 2.0 technologies and social media, companies are actively looking for ways to know and understand what users think and say about their products and services. Indeed, it has become the practice that users go online using social media like Facebook to raise concerns, make comments, and share recommendations. All these actions can be tracked in real-time and then mined using advanced techniques like data analytics and sentiment analysis. This paper discusses such tracking and mining through a system called Social Miner that allows companies to make decisions about …
Security Techniques For Intelligent Spam Sensing And Anomaly Detection In Online Social Platforms, Monther Aldwairi, Lo'ai Tawalbeh
Security Techniques For Intelligent Spam Sensing And Anomaly Detection In Online Social Platforms, Monther Aldwairi, Lo'ai Tawalbeh
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Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved. The recent advances in communication and mobile technologies made it easier to access and share information for most people worldwide. Among the most powerful information spreading platforms are the Online Social Networks (OSN)s that allow Internet-connected users to share different information such as instant messages, tweets, photos, and videos. Adding to that many governmental and private institutions use the OSNs such as Twitter for official announcements. Consequently, there is a tremendous need to provide the required level of security for OSN users. However, there are many challenges due …
A Fina Világbajnokság (2017) Önkénteseinek Szerepe Budapest Sportturizmusában, Viktória Szenyéri, Gábor Michalkó, Anestis Fotiadis
A Fina Világbajnokság (2017) Önkénteseinek Szerepe Budapest Sportturizmusában, Viktória Szenyéri, Gábor Michalkó, Anestis Fotiadis
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Volunteers are indispensable in the organization of international mega sport events. Their activity is really important not only during these world-level meetings, but also after the competition has ended, as they play an important role in furthering the life of the events and in maintaining interest in the host location. Although the practice of volunteering in Hungary is still in its infancy, its social status and popularity are developing dynamically. The 2017 FINA Championships in Budapest is considered to be a milestone in the evolution of Hungarian volunteer work. The volunteers took part in a variety of roles in order …
Cognitive Computing Meets The Internet Of Things, Zakaria Maamar, Thar Baker, Noura Faci, Emir Ugljanin, Yacine Atif, Mohammed Al-Khafajiy, Mohamed Sellami
Cognitive Computing Meets The Internet Of Things, Zakaria Maamar, Thar Baker, Noura Faci, Emir Ugljanin, Yacine Atif, Mohammed Al-Khafajiy, Mohamed Sellami
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This paper discusses the blend of cognitive computing with the Internet-of-Things that should result into developing cognitive things. Today's things are confined into a data-supplier role, which d ...
Extracting Semantic Relations From The Quranic Arabic Based On Arabic Conjunctive Patterns, Rahima Bentrcia, Samir Zidat, Farhi Marir
Extracting Semantic Relations From The Quranic Arabic Based On Arabic Conjunctive Patterns, Rahima Bentrcia, Samir Zidat, Farhi Marir
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© 2017 The Authors There is an immense need for information systems that rely on Arabic Quranic ontologies to provide a precise and comprehensive knowledge to the world. Since semantic relations are a vital component in any ontology and many applications in Natural Language Processing strongly depend on them, this motivates the development of our approach to extract semantic relations from the Quranic Arabic Corpus, written in Arabic script, and enrich the automatic construction of Quran ontology. We focus on semantic relations resulting from proposed conjunctive patterns which include two terms with the conjunctive AND enclosed in between. The strength …
Teachers' Perception Of Social Justice In Mathematics Classrooms, Ram Krishna Panthi, Bal Chandra Luitel, Shashidhar Belbase
Teachers' Perception Of Social Justice In Mathematics Classrooms, Ram Krishna Panthi, Bal Chandra Luitel, Shashidhar Belbase
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The purpose of this study was to explore mathematics teachers' perception of social justice in mathematics classrooms. We applied interpretive qualitative method for data collection, analysis, and interpretation through iterative process. We administered in-depth semi-structured interviews to capture the perceptions of three mathematics teachers about social justice in mathematics classroom at three public secondary schools in Kathmandu. We carried out multiple layers of thematic analysis and interpretation of the narratives from the interview data. Altogether five themes on perception of social justice emerged from the analysis of the data. These themes were associated with - equality, equity, fairness, social process, …
Detecting Fake News In Social Media Networks, Monther Aldwairi, Ali Alwahedi
Detecting Fake News In Social Media Networks, Monther Aldwairi, Ali Alwahedi
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© 2018 The Authors. Published by Elsevier Ltd. Fake news and hoaxes have been there since before the advent of the Internet. The widely accepted definition of Internet fake news is: fictitious articles deliberately fabricated to deceive readers'. Social media and news outlets publish fake news to increase readership or as part of psychological warfare. Ingeneral, the goal is profiting through clickbaits. Clickbaits lure users and entice curiosity with flashy headlines or designs to click links to increase advertisements revenues. This exposition analyzes the prevalence of fake news in light of the advances in communication made possible by the emergence …
A Preliminary Study On The Use Of Mind Mapping As A Visual-Learning Strategy In General Education Science Classes For Arabic Speakers In The United Arab Emirates., Kenesha Wilson
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Mind mapping was introduced as a culturally relevant pedagogy aimed at enhancing the teaching and learning experience in a general education, Environmental Science class for mostly Emirati English Language Learners (ELL). Anecdotal evidence suggests that the students are very artistic and visual and enjoy group-based activities. It was decided to integrate an intervention that would incorporate Emirati artistic and collaborative practices, in an effort to engage them on all levels, such that their academic attainment is positively affected. Preliminary results based on a group of 60 students, from on-going active research, suggest that this method is quite useful in helping …
Air Quality And Respiratory Health Among Adolescents From The United Arab Emirates, Caroline Barakat-Haddad, Sheng Zhang, Ayesha Siddiqua, Rania Dghaim
Air Quality And Respiratory Health Among Adolescents From The United Arab Emirates, Caroline Barakat-Haddad, Sheng Zhang, Ayesha Siddiqua, Rania Dghaim
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© 2015 Caroline Barakat-Haddad et al. Purpose. To examine the role of air quality in relation to chronic bronchitis, emphysema, asthma, wheeze, and dry cough among adolescents from the United Arab Emirates (UAE). Methods. A survey was administered on 6,363 adolescents from 9 UAE regions. Data consists of demographic, socioeconomic, residential, and behavioural variables, such as location of residence, residing near industry/gas stations/dumpsites/construction sites, residing near overhead power line/plants, exposure to tobacco, residential exposure, ethnicity, concern over air pollution, smoking, and purposely smelling gasoline fumes/glue/correctors/car exhaust/burning black ants. Logistic regression modeling was used to determine significant predictors of respiratory health. …