Users In Online Environment 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.

Resolving the Ethical Tension Between Creating a Civil Environment and Facilitating Free Expression Online: Comment Reordering as an Alternative to Comment Moderation

Incivility in online commenting sections can create a hostile environment and result in the silencing of vulnerable voices. Accordingly, content websites and social media platforms have an ethical responsibility—one that aligns with their strategic interests—to minimize users' exposure to uncivil content. To this end, platforms invest great effort and budget in automatic and manual filtering mechanisms. Yet, these efforts create a competing ethical quandary, as they often come at the expense of free expression, particularly in cases where comments do not explicitly infringe on stated guidelines but might nevertheless be interpreted as offensive. In this paper, we examine an alternative moderation approach, based on comment reordering as opposed to deletion of uncivil comments. Specifically, we show that exposure to uncivil (vs. civil) comments located in the head or at the bottom of a list of comments increases subsequent commenters' likelihood of posting uncivil comments themselves. Exposure to uncivil comments in the middle of a list, however, does not significantly enhance commenters' likelihood of commenting uncivilly. These results offer new theoretical insight into how incivility is transferred between users in online environments. Our results also suggest a straightforward technological solution for mitigating online incivility, which is more ethical and practical than current industry standards. This involves placing civil comments at the beginning and end of the comment thread, with uncivil comments located in the middle.

There can be only one truth: Ideological segregation and online news communities in Ukraine

The paper examines ideological segregation among Ukrainian users in online environments, using as a case study partisan news communities on Vkontakte, the largest online platform in post-communist states. Its findings suggest that despite their insignificant numbers, partisan news communities attract substantial attention from Ukrainian users and can encourage the formation of isolated ideological cliques – or ‘echo chambers’ – that increase societal polarisation. The paper also investigates factors that predict users’ interest in partisan content and establishes that the region of residence is the key predictor of selective consumption of pro-Ukrainian or pro-Russian partisan news content.

Online Yorumların Faydalı Bulunma Durumunun İncelenmesi: Konaklama İşletmeleri Üzerine Bir Araştırma

Emerging internet technologies have radically changed the way of purchasing tourism products and have made online platforms an important position especially for information search processes of the consumers. As a result of the numerous reviews shared daily by users in online environments, it has become difficult to access useful information for the consumers. Review sites start to offer to their users to vote the reviews useful or not to overcome this problem. Reviews that readers find useful, reduce consumers’ information search time and contribute their purchasing decision processes. The contributions of useful reviews have also led researchers to examine what are the features that make a review useful. In this context, the purpose of the study is to determine which features of the review and the reviewer affect the useful vote of review. For this purpose, 8,018 Antalya hotels’ reviews have been downloaded from TripAdvisor. Then, with the logistics regression model, features that contributed to estimating the usefulness of the reviews were identified. Consequently, the review score, the posting date of the review, the sharing of pictures in the review, the total number of useful votes received by the reviewer, the influence of the reviewer and the total number of reviews of the relevant hotel are factors that affect the usefulness of the review.

Facebook “verde amarelo” e preferência de uso da rede para os brasileiros

The social network Facebook comprises a large web users worldwide, corresponding to approximately 1,4 billions of users. The Brazil is the second most visited site by Internet users and the preferred network among those who seek interaction, sociability and entertainment. In this context, the object of the study was to analyse the usability of Facebook among brazilians users in online environments, given that intense connection share content and range of information available on the organizations website. Two complementary qualitative methods were developed, with the first based on netnographic research and the second applying questionnaires via Facebook and email. Results show seven (7) categories of users that emphasize the different behaviors of use and treat the values that stimulate or repress the usability. In this context, these groups of users open approaches to the various possibilities of organizations to reach consumers generating insights for marketing.

A syntactical approach for interpersonal trust prediction in social web applications: Combining contextual and structural data

Studying the social phenomena within computer science and web environment, demands more attention in recent years. In this regard, trust is a crucial basis for social interactions among users in online environment specifically social web applications in which user participation is the primary driver of value. Predicting unknown trust relationship between users is a problem addressed in this paper, using data mining and classification approach. Achieving this, we provide a framework of social trust-inducing factors that contribute in trust formation process and then we investigate the role of these factors in predicting trust between users by the results of experimental study on real data from Epinions. The experimental evaluation reveals that the proposed framework is quite feasible and promising in predicting trust connectivity with a high degree of accuracy.

Notes from the underground city of disinformation: A conceptual investigation

Inaccurate information, in the field of library and information science, is often regarded as a problem that needs to be corrected or simply understood as either misinformation or disinformation without further consideration. Misinformation and disinformation, however, may cause significant problems for users in online environments, where they are constantly exposed to an abundance of inaccurate and/or misleading information. This paper aims to establish conceptual groundwork for future empirical research by examining the relationships among information, misinformation, and disinformation. Our analysis extends to a discussion of cues to deception, as means for detecting misinformation and disinformation. We argue that misinformation and disinformation are related yet distinct sub-categories of information. Misinformation is a multifaceted concept, more complex than simply being inaccurate or incomplete, and disinformation does not always entail misinformation. We conclude our discussion by highlighting the significant roles of context and time in defining misinformation and disinformation.

Analysis of computer teachers’ online discussion forum messages about their occupational problems

This study, using content analysis technique, examined the types of job-related problems that the Turkish computer teachers experienced and the types of social support provided by reciprocal discussions in an online forum. Results indicated that role conflict, inadequate teacher induction policies, lack of required technological infrastructure and technical support, and the status of computer subject in school curriculum were the most frequently mentioned problems. In addition, 87.9% of the messages were identified as providing emotional support, while 3.1% messages were identified as providing instrumental support. It is concluded that content analysis technique provides an invaluable tool to understand the nature of communication and social interaction patterns among users in online environments. CMC in education should not only be considered to be a tool for content delivery and instructional interaction, but also a feedback mechanism and a platform for professional support, as well as an informal learning environment.