Academic Articles & Research Papers

Cybersecurity

This interactive module explores essential cybersecurity topics such as phishing, data protection, and digital identity. Learners will analyze real-life scenarios, build technical vocabulary, and practice communication skills while discover...

Cybersecurity and Blockchain Usage in Contemporary Business

The use of computers is becoming more and more common. The power and maliciousness of powerful attackers are increasing. Organizations must improve their ability to mitigate information security threats. Adequate protection is more critical...

Crowdsourcing Cybersecurity

Social media is often viewed as a sensor into various societal events such as disease outbreaks, protests, and elections. We describe the use of social media as a crowdsourced sensor to gain insight into ongoing cyber-attacks. Our approach ...

Cybersecurity

Abstract Cybersecurity is often defined in terms of data security. This definition is too narrow. A broader definition includes security issues, such as disinformation and incitement on social media platforms. Cyberthreats include viruses, ...

Natural language processing in mental health applications using non-clinical texts

Abstract Natural language processing (NLP) techniques can be used to make inferences about peoples’ mental states from what they write on Facebook, Twitter and other social media. These inferences can then be used to create online pathways ...

Natural Language Processing for Information Extraction

With rise of digital age, there is an explosion of information in the form of news, articles, social media, and so on. Much of this data lies in unstructured form and manually managing and effectively making use of it is tedious, boring and...

Deep Learning for Instance Retrieval: A Survey

In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, par...

Generational Differences in Dietary Behaviours: A Cross-Sectional Study of Generations X, Y, and Z [version 1; peer review: 2 approved]

Background Dietary behaviours influence obesity and chronic disease. In Saudi Arabia, Westernised diets and sedentary lifestyles have driven rising obesity. This study explores generational dietary patterns to inform Saudi Vision 2030 plann...

Adaptation of the scale of effects of social media on eating behavior in Hungarian university students

Background. People live in a technological world, where social media is used very commonly. Social media has effects on eating behaviors, as in other aspects. For this reason, it is important to measure social media effect. Objective. This...

Communication with the public in the health-care system: a descriptive study of the use of social media in Local Health Authorities and public hospitals in Italy

INTRODUCTION. In 2010 the Italian Ministry of Health set out recommendations for the use of social technology and Web 2.0, inviting organisations within the Italian national health service (Servizio Sanitario Nazionale, SSN) to equip themse...

Higher Social Media Use Associated with Higher Hemoglobin A1C and Greater Diabetes Distress in Young Adults with Type 1 Diabetes.

Social network X and mental health in Brazil in times of coronavirus

Introduction: The COVID-19 pandemic has had a number of impacts on people's daily lives around the world. The radical change in people's daily routines has led to an increase in the use and consumption of social media content. The scenario ...

Natural Language Processing for Social Media

TweetNLP: Cutting-Edge Natural Language Processing for Social Media

Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez Cámara. Proceedings of the 2022 Conference on Empirical Methods in Nat...

Seeing and Thinking about Urban Blue–Green Space: Monitoring Public Landscape Preferences Using Bimodal Data

Urban blue–green spaces (UBGSs) are a significant avenue for addressing the worldwide mental health crisis. To effectively optimise landscape design and management for the promotion of health benefits from UBGS, it is crucial to objectively...

Assessing perception and equity of cultural ecosystem services in urban parks using social media data

Abstract Scientific assessment of cultural ecosystem services (CESs) levels in urban parks and refined analysis of their spatial equity are essential for residents’ social well-being. However, traditional assessment methods often fail to ca...

Sentiment Analysis and Topic Modeling of Indonesian Public Conversation about COVID-19 Epidemics on Twitter

The World Health Organization (WHO) declared the COVID-19 outbreak has resulted in more than six million confirmed cases and more than 371,000 deaths globally on June 1, 2020. The incident sparked a flood of scientific research to help soci...

Decolonizing Algorithms: AI-Driven Media and the Reclamation of African Linguistic Identities

This study examines the influence of artificial intelligence (AI)-driven media platforms on South Africa's indigenous languages—Setswana, Tshivenda, and Xitsonga—in the country's diverse linguistic environment. It examines how algorithmic b...

Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed

BackgroundNatural language processing (NLP) is an important traditional field in computer science, but its application in medical research has faced many challenges. With the extensive digitalization of medical information globally and incr...

Machine Learning and Natural Language Processing in Mental Health: Systematic Review

BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides ...