Online Communication Platforms Research Articles

Active Chat Monitoring and Suspicious Chat Detection Over Internet

In the digital age, the proliferation of online communication platforms has facilitated unprecedented levels of connectivity and interaction. However, this interconnectedness has also introduced new challenges, particularly in ensuring the safety and security of users in online environments. One critical area of concern is the monitoring and detection of suspicious activities within chat platforms, where malicious actors may engage in harmful behaviors such as cyberbullying, harassment, or illicit activities. This research paper focuses on the development and implementation of active chat monitoring techniques for the detection of suspicious behavior over the internet. By leveraging advancements in natural language processing (NLP), machine learning, and data analytics, this study aims to explore effective methodologies for real-time monitoring and analysis of chat conversations to identify potentially harmful content. The paper will delve into various approaches for detecting suspicious patterns, including keyword analysis, sentiment analysis, and anomaly detection algorithms. Additionally, considerations for privacy, ethics, and legal implications surrounding chat monitoring will be discussed. Ultimately, this research endeavors to contribute to the enhancement of online safety measures by providing insights into the design and implementation of proactive monitoring systems capable of identifying and mitigating risks in virtual communication spaces. Keywords— Active Chat Monitoring, cybersecurity, user experience, digital era, security, user-controlled, effectiveness, evolving threat, Chat content analysis, Threat intelligence.

A New Hybrid Approach for Image Security using Steganography and Encryption

In today's digital age, ensuring the security and confidentiality of image data is paramount, particularly with the proliferation of online communication and storage platforms. This project proposes a hybrid approach for enhancing image security by synergistically integrating encryption and steganography techniques. The combination of these two methods aims to fortify the protection of digital images against unauthorized access and tampering. Encryption ensures the confidentiality of image content by converting it into an unintelligible form using robust cryptographic algorithms. Concurrently, steganography conceals the encrypted data within the image itself, embedding it imperceptibly into the pixels or metadata. The synergy of encryption and steganography not only safeguards the integrity of image data but also adds an additional layer of concealment, making it arduous for adversaries to detect and decipher sensitive information. Through this project, the efficacy of the hybrid approach will be evaluated through experimentation and analysis, with the ultimate goal of providing a comprehensive solution for image security in various applications and contexts.

Active Chat Monitoring and Suspicious Chat Detection Over Internet

In today's digital landscape, the proliferation of online communication platforms has brought about unprecedented opportunities for interaction and collaboration. However, this vast virtual space also presents challenges in ensuring safety and security, particularly concerning the monitoring of chat activities and the detection of suspicious behaviour. This research paper investigates the methods and technologies employed proactive chat monitoring and random chat across the web. The paper begins by examining the importance of monitoring chat platforms to prevent various forms of malicious activities, including cyberbullying, fraud, terrorism, and other illicit behaviours. It then delves into the techniques utilized for real-time monitoring of chat conversations, such as keyword filtering, sentiment analysis, and natural language processing algorithms. Furthermore, the paper explores the principles behind suspicious chat detection, highlighting the indicators of potentially harmful or illegal activities within chat communications. This includes analysing patterns of conversation, identifying anomalous behaviour, and integrating machine learning models to improve detection accuracy. Moreover, the research discusses the ethical considerations and privacy concerns associated with active chat monitoring, emphasizing the need for transparent policies and safeguards to protect user privacy while ensuring effective security measures. Keywords: Active chat monitoring, Suspicious chat detection, Online communication platforms, Cybersecurity, Malicious activities, Keyword filtering, Sentiment analysis, Natural language processing algorithms.

A survey on multi-lingual offensive language detection.

The prevalence of offensive content on online communication and social media platforms is growing more and more common, which makes its detection difficult, especially in multilingual settings. The term "Offensive Language" encompasses a wide range of expressions, including various forms of hate speech and aggressive content. Therefore, exploring multilingual offensive content, that goes beyond a single language, focus and represents more linguistic diversities and cultural factors. By exploring multilingual offensive content, we can broaden our understanding and effectively combat the widespread global impact of offensive language. This survey examines the existing state of multilingual offensive language detection, including a comprehensive analysis on previous multilingual approaches, and existing datasets, as well as provides resources in the field. We also explore the related community challenges on this task, which include technical, cultural, and linguistic ones, as well as their limitations. Furthermore, in this survey we propose several potential future directions toward more efficient solutions for multilingual offensive language detection, enabling safer digital communication environment worldwide.

The Role of Pragmatics in Cross-Cultural Communication

Purpose: The general purpose of this study was to explore the role of pragmatics in cross-cultural communication.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings reveal that there exists a contextual and methodological gap relating to pragmatics in cross-cultural communication. The study provided valuable insights into the pivotal role of pragmatics in facilitating effective communication across diverse cultural contexts. By exploring principles such as speech acts, politeness strategies, and implicature, the research enhanced understanding of how language is used and interpreted in cross-cultural interactions. The findings underscored the importance of pragmatic competence and cultural sensitivity in achieving mutual understanding. Furthermore, the study highlighted the need for incorporating pragmatic awareness training into educational curricula and policymaking efforts to promote cultural inclusivity and cooperation. Overall, the study's contributions deepen our understanding of cross-cultural communication dynamics and offer practical guidance for navigating cultural differences in an interconnected world.
 Unique Contribution to Theory, Practice and Policy: Speech Act theory, Politeness theory and Relevance theory may be used to anchor future studies on the role of pragmatics in cross-cultural communication. The study provided several key recommendations that contributed to both theory and practice in the field of intercultural communication. These recommendations included incorporating pragmatic competence training into educational curricula, implementing cross-cultural training programs in organizations, developing initiatives and policies to promote intercultural understanding, considering cultural factors in online communication platforms, engaging in reflective practices to enhance awareness of cultural differences, and establishing cross-cultural pragmatics as a distinct field of study. These suggestions aimed to enhance individuals' ability to navigate cross-cultural interactions effectively, promote inclusivity and mutual understanding in diverse settings, and advance theoretical knowledge in the field of intercultural communication.

Adoption of technology enabled care to support the management of children and teenagers in rheumatology services: a protocol for a mixed-methods systematic review

IntroductionCOVID-19 catalysed a rapid move to provide care away from the hospital using online communication platforms. Technology enabled care (TEC) continues to be an important driver in progressing future healthcare...

Service delivery and quality assurance in administrative units of higher education institutions during the pandemic

In the challenging backdrop of the pandemic, educational institutions, particularly teacher education entities, found themselves at a crossroads. Administrative services, traditionally seen as the backbone of these institutions, underwent significant shifts. Using a tool inspired by the Area X. Administration section of the Accrediting Agency of Chartered Colleges and Universities in the Philippines (AACCUP) instrument and grounded in the principles of Kivistö and Pekkola (2017), this study adopts a mixed-method approach to dissect these transitions. Our research unveils a robust move towards digitization, emphasizing the growing role of online learning and communication platforms in the modern educational business model. However, this digital embrace brings forth challenges, especially in areas like resource allocation, supply chain management, and stakeholder communication, which demand innovative business solutions. The findings underscore the need for ongoing improvement, adaptability, and the integration of modern business practices in the educational sector. This research serves as a roadmap, offering actionable insights for institutions aiming to optimize their administrative functions amidst changing business landscapes. Furthermore, it sets the stage for future researchers, emphasizing the blend of traditional educational values with contemporary business strategies, and encourages a more profound exploration of how educational institutions can navigate and thrive in today’s dynamic business environment.

Toxic Comment Classification based on Personality Traits Using NLP

Concerns about the frequency of harmful remarks have been raised by the growth of online communication platforms, which makes it difficult to create inclusive and safe digital spaces. This study explores the creation of a strong framework that uses machine learning algorithms and natural language processing (NLP) methods to categorise harmful comments. In order to improve the accuracy and comprehensiveness of categorization, the study investigates the integration of personality trait analysis in addition to identifying hazardous language. A wide range of online comments comprised the dataset that was gathered and put through extensive preparation methods such as text cleaning, lemmatization, and feature extraction. To facilitate the training and assessment of machine learning models, textual data was converted into numerical representations by utilising TF-IDF vectorization and word embeddings. Furthermore, personality traits were extracted from comments using sentiment analysis and language clues, which linked linguistic patterns with behavioural inclinations. The study resulted in the development and assessment of complex categorization models that combined features from textual content and inferred personality traits. The findings show encouraging associations between specific personality qualities and the use of toxic language, providing opportunities to identify subtle differences in toxic comment contexts. In order to provide insights into developing more sophisticated and successful methods of reducing toxicity in online discourse, this study outlines the methodology, major findings, and consequences of incorporating personality traits analysis into the classification of toxic comments.

Exploring the Influence of Technology, Lifestyle and Flexible Working Arrangements on Cyber Psychology among Employees at a Malaysian Investment Holding Company

This study explores the relationship between cyberpsychology and its influencing factors among employees at an investment holding company (which will be addressed as XYZ Berhad). Understanding the impact of technology, lifestyle, and flexible working arrangements on employees' psychological well-being and behavior is crucial in today's digital workplace. With the prevalence of remote work and flexible arrangements, it becomes essential to examine how these factors influence employees' cyberpsychology experiences. Using a quantitative correlational approach, data was collected from 123 participants out of a total employee population of 174 at XYZ Berhad. The survey utilized Likert scale items to assess respondents' perspectives on technology usage, lifestyle choices, flexible working arrangements, and cyberpsychology. The findings reveal significant relationships between cyberpsychology and the influencing factors. Technology has a strong positive relationship, indicating its substantial impact on employees' psychological well-being and work behaviors. Similarly, lifestyle choices show a moderate positive relationship, highlighting the relevance of personal lifestyle preferences in shaping cyberpsychological experiences. Additionally, flexible working arrangement displays a medium positive relationship, underscoring the importance of work arrangements in influencing employees' psychological responses. The study recommends implementing awareness programs to help employees manage the psychological effects of technology usage and promoting the usage of online communication platforms to foster a positive organizational culture. Guidelines for employees working under flexible arrangements are advised to support their well-being and maintain a healthy work-life balance.

The Role of Online Communication Platforms in Maintaining Social Connectedness When Face-to-face Communication is Restricted

Social connectedness, an indicator of psychological well-being, requires social interaction and communication among individuals. Prior research usually examined the relationship between the use of online communication channels and the sense of social connectedness under the circumstances where face-to-face communication was readily available. Pandemic provided an excellent setting to study the sole effect of the use of online communication on social connectedness as online communication was not accompanied by in-person communication due to restrictions such as lockdowns. Seizing the opportunity, this study aims at investigating the relationship between the use of online communication platforms and social connectedness at a time when face-to-face communication was not an option and individuals employed online communication channels heavily. To this end, a survey was conducted online on 406 college students in Turkey in November- December 2022 to present retrospective analyses. The findings indicate while face-to-face communication is the prime component to build social connectedness, the use of online communication channels, particularly WhatsApp, social networking sites, video call helped to maintain social bonds among individuals when in-person communication was virtually absent. The research provides insights on how different communication channels can promote social connectedness with varying degrees depending on their social presence.

A numeric-based machine learning design for detecting organized retail fraud in digital marketplaces

Organized retail crime (ORC) is a significant issue for retailers, marketplace platforms, and consumers. Its prevalence and influence have increased fast in lockstep with the expansion of online commerce, digital devices, and communication platforms. Today, it is a costly affair, wreaking havoc on enterprises’ overall revenues and continually jeopardizing community security. These negative consequences are set to rocket to unprecedented heights as more people and devices connect to the Internet. Detecting and responding to these terrible acts as early as possible is critical for protecting consumers and businesses while also keeping an eye on rising patterns and fraud. The issue of detecting fraud in general has been studied widely, especially in financial services, but studies focusing on organized retail crimes are extremely rare in literature. To contribute to the knowledge base in this area, we present a scalable machine learning strategy for detecting and isolating ORC listings on a prominent marketplace platform by merchants committing organized retail crimes or fraud. We employ a supervised learning approach to classify postings as fraudulent or real based on past data from buyer and seller behaviors and transactions on the platform. The proposed framework combines bespoke data preprocessing procedures, feature selection methods, and state-of-the-art class asymmetry resolution techniques to search for aligned classification algorithms capable of discriminating between fraudulent and legitimate listings in this context. Our best detection model obtains a recall score of 0.97 on the holdout set and 0.94 on the out-of-sample testing data set. We achieve these results based on a select set of 45 features out of 58.

Patients' Readiness Towards Teledentistry in the Malaysian Urban Population Attending an Undergraduate Teaching University.

Introduction: COVID-19 disease has resulted in suspension of all nonurgent routine dental treatments. In view of COVID-19 situation, social distancing, movement restriction orders, and affected health care systems, there is an urgent need to resume and deliver oral health care remotely. Hence, alternative means of dental care should be available for both patients and dentists. Therefore, this study aims to assess patients' readiness for teledentistry in Malaysian urban population attending an undergraduate teaching university. Methods: A cross-sectional study was conducted among 631 adult patients visiting the Faculty of Dentistry, SEGi University, from January 2020 to May 2021 in Selangor, Malaysia. A validated, self-administered, 5-point Likert scale online questionnaire comprising five domains was administered. (1) Patients' demographics and dental history, (2) patients' access to teledentistry, (3) patients' understanding towards teledentistry, (4) patients' willingness, and (5) barriers in using teledentistry were used to collect the required information. Results: Six hundred and thirty-one (n = 631) participants responded to the questionnaire. Ninety percent of patients were able to connect to Wi-Fi services independently and 77% participants were comfortable using online communication platforms. Seventy-one percent of the participants agreed that video and telephone clinics can reduce chances of infection rather than face-to-face consultation during the pandemic. Fifty-five percent of patients felt that virtual clinics would save time and 60% thought it could reduce travelling costs. Fifty-one percent showed their willingness to use video or telephone clinics when implemented at onsite clinics. Conclusion: Our study shows the readiness of patients to accept teledentistry as an alternative method of oral care if appropriate training and education are provided. The results of this study have prompted an increase in patients' education and shown a need to train clinicians and patients to integrate this technology at SEGi University. This might facilitate unhindered dental consultation and care in all situations.

Global entrepreneurship research and practice in the post‐pandemic world

AbstractSome people have forgotten the recent COVID‐19 pandemic, but for many, the memories are still vivid in terms of the effects of the health crisis on society. Globally, almost all parts of the world had significant changes made to their way of life due to the COVID‐19 pandemic, which included social and economic effects. Many countries closed their international borders for a long period of time, which had a profound influence on the degree of internationalization occurring within these regions. Owing to the need for social distancing, there were rapid changes to digital business practices and the resulting increased usage of online communication platforms. The aim of this editorial is to highlight how global entrepreneurship research and practice in the post‐COVID‐19 world have changed in terms of research and practitioner practices. This is important as we seek to progress society through positive interaction in the business environment. Suggestions for future managerial and academic practices regarding global entrepreneurship are stated.

Social Medias and Sociability in The Late Modernity

This brief essay aims to rescue part of the very diverse research agendas, oriented from the thematic trajectories “social medias” and “sociability”. These trajectories illustrate quite clearly the importance of this theoretical-methodological framework for the investigation of a wide range of issues in the contemporary social sciences. We are particularly interested in the construction of sociabilities mediated by the internet, from online communication platforms, in which it´s possible to establish social interactions with multiple actors, recovering conversation rooms, spaces of conviviality previously experienced in face-to-face interactions. They are, as we see in the approaches that stand out for their timeliness and because they are built from the Sociology of social medias, original. It´s an important example of the development of this increasingly relevant research agenda: the approach of human behaviors from the constitution of its reticular structure, but anchored from the mediation of the technology of virtual space. Keywords: Social Networks. Modernity. Sociability.

The social economy in the digital era: A perspective on community enterprises in a developing economy

Daily life is inextricably linked to the economy, especially when it comes to eating well and saving money, which can be seen as creating favourable economic conditions for both the individual and the household. The social economy is a critical engine for economic restructuring in the digital economy, as well as for increasing societal and economic resilience, fairness and sustainability. This study employed a quantitative approach to investigate the factors that influence the social economy in the community enterprise sector in developing countries. An online questionnaire was used to collect data from 619 participants in Thailand recruited through accidental sampling. Multiple regression analysis was used to analyse the data. The findings revealed that the social economy can be influenced by demographic factors such as age, residence and technological readiness, as well as online communication platforms such as Instagram, Pinterest, Facebook and blogs. Career opportunities should be encouraged by helping groups of people, gathered based on common interests, to establish businesses that endorse community and social activities, thereby strengthening the community and beyond. People of diverse ages should be included to broaden the participation in activities.

Action recognition based on multimode fusion for VR online platform.

The current popular online communication platforms can convey information only in the form of text, voice, pictures, and other electronic means. The richness and reliability of information is not comparable to traditional face-to-face communication. The use of virtual reality (VR) technology for online communication is a viable alternative to face-to-face communication. In the current VR online communication platform, users are in a virtual world in the form of avatars, which can achieve "face-to-face" communication to a certain extent. However, the actions of the avatar do not follow the user, which makes the communication process less realistic. Decision-makers need to make decisions based on the behavior of VR users, but there are no effective methods for action data collection in VR environments. In our work, three modalities of nine actions from VR users are collected using a virtual reality head-mounted display (VR HMD) built-in sensors, RGB cameras and human pose estimation. Using these data and advanced multimodal fusion action recognition networks, we obtained a high accuracy action recognition model. In addition, we take advantage of the VR HMD to collect 3D position data and design a 2D key point augmentation scheme for VR users. Using the augmented 2D key point data and VR HMD sensor data, we can train action recognition models with high accuracy and strong stability. In data collection and experimental work, we focus our research on classroom scenes, and the results can be extended to other scenes.

The Association between Technology-Mediated Intimate Partner Violence and Stockholm Syndrome

Intimate partner violence is a global and devastating event. While IPV is typically conceptualized as manifesting physically, it can also manifest as emotional and mental abuse, and in many cases, this abuse can be facilitated by or even fueled by online communication platforms. The purpose of this study is to examine the impact of technology-mediated violence on Stockholm syndrome. Based on previous research indicating that emotional IPV can be more damaging than solely physical IPV, we predicted that technology-mediated IPV would be a significant factor in the development of Stockholm syndrome. The results indicated that T-IPV significantly contributed to Stockholm syndrome, more so than in-person violence. Implications are presented.

SOCIO-PSYCHOLOGICAL FACTORS OF SUICIDAL RISK IN ADOLESCENTS IN CONDITIONS OF DIGITAL SOCIALIZATION

Deviant behavior of a teenager is the result of a complex interaction of various factors. The socio-psychological study of the new digital generation is one of the most relevant topics both in modern science and practice. The purpose of the study is to determine the psychological characteristics, emotional state and suicidal risk of adolescents in the context of the digitalization of society. Research methods included clinical conversation, Questionnaire of suicide risk, Pathocharacterological diagnostic questionnaire (PDO) for adolescents based on the classifi cation of character accentuations by A.E. Lichko (), Suicidal risk questionnaire by A.G. Shmelev, modifi ed by T.N. Razuvaeva (), the Method of diagnosing socio-psychological adaptation of K. Rogers and R. Diamond in the adaptation of A.K. Osnitsky (), test “Family sociogram”, correlation and regression analysis of suicidal risk factors. The study involved  adolescents from secondary school No.  in Samara, aged  to  years ( boys and  girls). All  surveyed adolescents actively use available online resources as sources of educational and entertaining content, and online communication platforms. Reliably signifi cant psychological factors of suicidal risk in adolescents in the context of digital socialization have been established, such as: affectivity, failure, social pessimism, breaking down cultural barriers, maximalism, negative time perspective, labile, psychasthenic and sensitive types of accentuations, dysfunctional family relationships. Based on the data obtained, a mathematical regression model for predicting suicidal risk was developed, which included signifi cant psychological factors: IP) - (. * A) + (. * NVS), where D - demonstrativeness, SP - social pessimism, M - maximalism, C - sensitive type of accentuation, IP - a tendency to true suicide, A - adaptation, NVS - violations of relationships in family. Thus, the behavior of adolescents is the result of a complex interaction of socio-psychological factors, in the development of which digital socialization plays a signifi cant role. We have concluded that digital socialization today, on the one hand, helps the process of personality formation, its adaptation and integration in society, and on the other hand, there is the emergence of new risks in the online environment: content, communication, consumer. The high reliability of the forecast in the model of the suicidal risk formation was established, which is %. Early detection of suicidal risk in modern adolescents of the new digital generation makes it possible to carry out timely prevention of suicidal behavior.

A Review on the Impact of Social Media on Societal Development

The term “social media” refers to a group of online communication platforms that focus on user-generated content, collaboration, and community involvement. This review’s main objective is to give detailed information regarding how social media affects society. Several researches suggested that social media might have both positive and positive effects. Positive results include improved learning opportunities, socialization and communication, as well as access to health-related information. Some of the negative effects of social media on societies include terrorism, criminal activity, catfishing, depression, anxiety, and catfishing. The outcome will typically be favorable when people utilize social media for the right reasons and set goals, and the opposite is true for bad side effects. To lessen and protect communities from its harmful aspects

The Problem of Gendered Emojis in Online Communication Platforms: A Study to Understand Digital Dependence on Using Emotions During Pandemic

Digitalization, affordable smart gadgets, and social distancing have turned virtual communication into a lived phenomenon. However, we should be aware of the fact that the virtual communication process is entangled with positive and negative consequences. On the one hand, it has enabled people to develop a feeling of togetherness and belonging, and on the other, it is steeped in conflict and dispute due to the extensive use of emojis that are context-sensitive and are subjected to multiple interpretations. The problem of emojis connected with sexual connotations has not been studied in an online conversation parameter. Hence, the current study examines the sexual connotations that are embedded in the usage of non-facial emojis such as eggplant, cherry, etc., in virtual communication and analyses sexual connotations that are generated in closed group interactions. The methodology undertaken in this study is a quantitative experimental research method to collect data. Participants (N=64) will determine how certain context-sensitive emojis are perceived by them in closed group online conversations. Results suggest that non-facial emojis possess sexual connotations which are highly context-specific and used extensively in interpersonal conversations. In this way, this paper will prepare the ground to study more hidden sexual connotations in emojis.