Personal Online Research Articles

Personal Relative Deprivation and Online Aggression in College Students: A Moderated Mediation Model of Revenge Motivation and a Violent Attitude

While personal relative deprivation (PRD) is recognized as a potential risk factor for aggression, the mechanisms underlying this relationship are not well understood. This study investigates how revenge motivation mediates the link between PRD and online aggression, as well as how a violent attitude moderates this connection. A total of 1004 college students completed self-reported measures on demographic factors, PRD, online aggression, revenge motivation, and violent attitudes. The findings revealed a positive correlation between PRD and online aggression, with revenge motivation serving as a mediating factor. Additionally, a violent attitude was found to moderate the relationship, indicating that PRD had a stronger association with online aggression in individuals with higher violent attitudes compared to those with lower attitudes.

More than words: the role of personality in shaping the timeliness of online reviews

Purpose The purpose of this paper is to investigate the potential influence of the big five personality traits − extraversion, neuroticism, agreeableness, openness and conscientiousness − on the time taken by travelers to submit online reviews after their hotel stay. Design/methodology/approach The study analyzed 83,235 TripAdvisor reviews from 415 hotels in six major US tourism cities using random forest algorithms and Poisson regression. The research investigated the influence of the big five personality traits on the time taken by travelers to submit online reviews post-hotel stay, merging personality psychology with consumer behavior research through a combination of machine learning and statistical analysis. Findings The findings reveal significant correlations between certain personality traits and the time taken to post online hotel reviews. Extraversion, neuroticism and agreeableness were found to be negatively correlated with response time, suggesting that individuals scoring higher in these traits tend to submit their reviews more quickly. Conversely, openness exhibited a positive correlation, indicating that those with higher levels of openness tend to delay their feedback. Conscientiousness showed no significant correlation with response time. Originality/value This study represents a novel approach to understanding the relationship between personality traits and online review behavior in the hospitality industry. By leveraging advanced machine learning techniques, such as random forest algorithms, alongside traditional statistical methods like Poisson regression, this research offers a unique perspective on the influence of personality on consumer behavior. The innovative application of these technologies to a large data set of TripAdvisor reviews provides fresh insights that can inform the development of personalized customer engagement strategies. The findings contribute to the growing body of literature on the intersection of personality psychology, consumer behavior and hospitality management in the digital age.

A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators

This study explores the global problem of misinformation dissemination on social media, particularly Twitter, due to the COVID-19 pandemic. It identifies prominent disseminators, investigates the spread of false information and the ecosystem of disinformation spreaders, and assesses their online personalities. We track the interaction among fake news spreaders using the User-User Interaction Graph. The study reveals a rapidly growing population of disseminators, including professional spreaders, with over 3% dominating the others. The collaboration among fake news spreaders is high, highlighting the need for further research using publicly available online data to understand the community spreading malicious misinformation about COVID-19.

Interlopers by choice, or interlopers by circumstance? Alexey Navalny and alternative journalistic projects in contemporary autocratic Russia

In February 2024, Russian opposition activist Alexey Navalny died in a Western Siberian prison aged just 47. Known as a vocal opposition leader in Russia in the 2010s, he was regularly trying to be elected but also organised the largest mass anti-establishment and anti-corruption protests in Russia before his untimely death. Deprived of access and coverage in the Russian mainstream media, Navalny and his associates established their own media channels, including personal YouTube channels and online media outlets such as Navalny LIVE to avoid censorship and expose the corruption and abuses of power of high-ranking officials in Russia. However, at the same time, Navalny and his colleagues cannot be labelled as ‘journalists’ in a normative sense. They were not professional journalists and had not gone through the processes of journalistic socialisation, but rather ‘tried on’ journalistic roles and investigative journalism practices to expose corrupt elites. In this sense, Navalny and his team can be called (explicit) interlopers who adopt journalistic identities and force a reconsideration of what journalists are and journalism is. In this study, we look at the case of Navalny and his team and their investigative documentaries on YouTube. We relate his practice to the journalistic concept of (explicit) interlopers, analyse how their unique and alternative journalistic project has diversified a largely monopolised and authoritarian Russian public sphere, and propose extending the notion of interlopers by differentiating between interlopers by choice, and interlopers by circumstance.

The Application of Social Media in Digital Marketing

Social media can quickly share and communicate while building personal and community online identities and interactive platforms. It can reach almost everyone and effectively pro-mote brands, products, and services, attract potential customers, and encourage sales. It accelerates changes in the environment shared by enterprises and consumers and shapes market behavior. Through a literature review combined with the digital marketing research framework, we classify and synthesize the relevant literature research results, analyze the critical touch points where social media has or may have a significant impact on the marketing process and marketing strategy, and propose the role of social media in the field of digital marketing—existing future research directions.

Pemanfaatan Teknologi Informasi dalam Edukasi Literasi Digital untuk Peningkatan Keamanan Data dan Pencegahan Kejahatan Siber di Masyarakat Rawang Panca Arga

The utilization of information technology in digital literacy education has become increasingly important due to the growing threat of cybercrime. This research aims to analyze the impact of digital literacy education on improving data security and preventing cybercrime within the community. Using a qualitative approach, this study identifies the role of information technology in raising public awareness and understanding of the importance of protecting personal data online. The findings reveal that digital literacy education, supported by information technology, can significantly reduce the risk of cybercrime. Communities that are educated in digital literacy are better equipped to face cybersecurity challenges and safeguard the integrity of their data. This education also provides practical guidelines for using digital devices safely and ethically.

Tes Kepribadian Online Membentuk Kepribadianku, Benarkah?: Barnum Effect Ditinjau Dari Perbedaan Jenis Kelamin

Online personality tests are commonly used by adolescents who are in the process of self-discovery. This leads to a tendency for teenagers to self-diagnose based on their personality feedback. This study aims to investigate whether female adolescents are more prone to experiencing the Barnum effect and self-diagnosis compared to male adolescents. The study used purposive sampling to select participants, consisting of 300 students from SMAN 16 Makassar, with an equal distribution of 150 female and 150 male students aged 15-18 years. The Barnum Statement was employed as the measurement tool. Data analysis was conducted using the Chi-Square test, processed with SPSS version 26 for Windows. The results indicate that there is no significant difference between genders in terms of the barnum effect, with a significance value of p = 0.339. This study provides insights into the differences in the barnum effect between adolescent girls and boys.

Secured Sharing of Personal Health Records in Cloud with Optimised Signcryption: Improved Shark Smell Optimisation for Key Generation

Recently, personal health records (PHR) have been found to come into view as a patient- centric approach for exchanging health data. With the use of a PHR service, a physician may create, access and maintain all of their personal health information online in one convenient location. Additionally, it has greatly improved the efficient exchange, retrieval and storage of patient data. Each patient is also promised total ownership over their medical records and the option to share their data with a wider range of clients together with friends, family members or healthcare providers. Owing to the higher price of maintaining and building specific data centres, numerous PHR services were contracted out to third-party service providers. Therefore, this work is concerned with carrying out the secured sharing of PHR by inducing the signcryption model with an optimisation concept. In the signcryption model, the digital signature encryption is done using an improved AES approach. Further, the key generation is carried out using a self-customised shark smell algorithm (SC-SSA) algorithm. Finally, the evaluation is done to verify the improvement of the system that was used.

Electronic word-of-mouth intentions in personal and public networks: a domestic tourist perspective

This research investigated the determinants of electronic word-of-mouth (eWOM) sharing intentions in personal and public online networks among domestic tourists. Using a quantitative research design, this study surveyed domestic tourists visiting five major tourist destinations in India. Six hundred thirty valid responses were subjected to principal component analysis, confirmatory factor analysis, and structural equation modeling to examine the relationships among destination attributes, tourists’ psychological processes, and their intentions to engage in eWOM. The findings show that destination inhabitants’ friendliness and the natural beauty of the destination influence tourists’ overall destination experience. The overall destination experience and personal pleasure from vacations impact eWOM sharing with friends and family (personal networks) and with strangers (public networks). The results also indicate that the overall destination experience mediates the relationship between destination attributes (destination inhabitants’ friendliness and the natural beauty of the destination) and online sharing intent with friends and family. The overall destination experience also mediates the path between personal pleasure from vacations and eWOM sharing intent in personal networks. For tourism developers and destination managers, this study underscores the importance of enhancing the natural appeal of destinations and fostering positive interactions between tourists and locals. It also suggests creating authentic experiences at the destination so that tourists with high involvement generate eWOM about the destination.

Pilot Study on Enhanced Detection of Cues over Malicious Sites Using Data Balancing on the Random Forest Ensemble

The digital revolution frontiers have rippled across society today – with various web content shared online for users as they seek to promote monetization and asset exchange, with clients constantly seeking improved alternatives at lowered costs to meet their value demands. From item upgrades to their replacement, businesses are poised with retention strategies to help curb the challenge of customer attrition. The birth of smartphones has proliferated feats such as mobility, ease of accessibility, and portability – which, in turn, have continued to ease their rise in adoption, exposing user device vulnerability as they are quite susceptible to phishing. With users classified as more susceptible than others due to online presence and personality traits, studies have sought to reveal lures/cues as exploited by adversaries to enhance phishing success and classify web content as genuine and malicious. Our study explores the tree-based Random Forest to effectively identify phishing cues via sentiment analysis on phishing website datasets as scrapped from user accounts on social network sites. The dataset is scrapped via Python Google Scrapper and divided into train/test subsets to effectively classify contents as genuine or malicious with data balancing and feature selection techniques. With Random Forest as the machine learning of choice, the result shows the ensemble yields a prediction accuracy of 97 percent with an F1-score of 98.19% that effectively correctly classified 2089 instances with 85 incorrectly classified instances for the test-dataset.

Selected Memes from @Nihilistpotata

The following memes have been selected from my Instagram account @nihilistpotata. In thisaccount, I combine the image of a nihilist potato with the artistic concept of Dadaism to challengeconventional tastes in art and traditional methods of visual creation. @Nihilistpotata documents mygraphic design experiments using memes. The themes of these memes delve into my generallife troubles and aspirations, as well as my more particular experiences navigating graduate school. Itaims to strike a balance between my online persona as a humorous potato and my embodied identityas a nerdy Asian woman who is considered to be conventionally unattractive. Through the act ofmeme-making, I aspire to empower not just myself but oppressed people writ large— LGBTQ2S folx,racialized and Indigenous communities, the poor, the disabled, the bullied, those suffering from mentalillness, and many more; all who seek to resist, survive, laugh, and heal.

The role of personality traits and online behavior in belief in fake news

The current study examines how careless online behavior and personality traits are related to the detection of fake news. We tested the relationships among accurately distinguishing between fake and real news headlines, careless online behavioral tendencies, and the HEXACO and dark triad personality traits. Poorer discernment between fake and real news headlines was associated with greater careless behavior online (i.e., greater online disinhibition, greater risky online behavior, greater engagement with strangers online, and less suspicion of others’ intentions online), as well as lower Conscientiousness, Openness, and Honesty-Humility, and greater dark triad traits. Implications for the literature as well as potential interventions to reduce susceptibility to misinformation and fake news are discussed.

The impact of social media in child sexual abuse.

With the rise of technology, social media consumption by young children has become part of normal life. The ease of fabricating an online persona also means children become accessible by predators, placing them at risk of exploitation including the production of child abuse material, online grooming and child sexual abuse. The content uploaded on social media is difficult to monitor enabling children to be exposed to potentially harmful material. Online safety for children needs to be prioritised and parents made aware of the resources available to them.

Understanding the Psychosis Spectrum Using a Hierarchical Model of Social Cognition.

Social cognitive impairments are central to psychosis, including lower severity psychosis-like experiences (PLEs). Nonetheless, progress has been hindered by social cognition's poorly defined factor structure, as well as limited work examining the specificity of social cognitive impairment to psychosis. The present study examined how PLEs relate to social cognition in the context of other psychopathology dimensions, using a hierarchical factors approach to social cognition. Online community participants (N = 1026) completed psychosis, autism, and personality disorder questionnaires, as well as 3 social cognitive tasks that varied in methodology (vignette vs video) and construct (higher- vs lower-level social cognition). Exploratory (EFA) and confirmatory factor analyses (CFA) were used to model social cognition, with the best models being examined in association with PLEs and psychopathology dimensions. EFA and CFA supported a hierarchical model of social cognition, with 2 higher-order factors emerging: verbal/vignette task methodology and a multimethod general social cognition factor. These higher-order factors accounted for task-level associations to psychopathology, with relations to positive symptoms (r = .23) and antagonism (r = .28). After controlling for other psychopathology, positive symptoms were most clearly related to tasks with verbal methodology (β = -0.34). These results suggest that broad social cognitive processes and method effects may account for many previous findings in psychosis and psychopathology research. Additionally, accounting for broad social cognitive impairment may yield insights into more specific social cognitive processes as well.

A comparison of COVID-19 and post-COVID-19 syndrome among symptomatic and asymptomatic patients in Bangladesh: A retrospective cohort study

BackgroundThe differentiation between COVID-19 and post-COVID-19 syndromes is not properly defined as some patients remain asymptomatic for post-COVID-19. It can be characterized by several signs and symptoms. Risk factors related to post-COVID-19 remain unsolved. Here we aimed to differentiate post-COVID-19 patients among symptomatic and asymptomatic groups to check the percentage among them and the risk factors for post-COVID-19 and the association of different symptoms. MethodsThis study was conducted in Chittagong division, Bangladesh at different hospitals. Data were collected from the participants either by in person interview or online (email) or mobile phone calls. Follow up was done after 3 months to check the development of post-COVID-19 syndromes. Relevant data were taken, and symptomatic and asymptomatic patients were divided based on the presence and severity of specific symptoms. ResultsOur results showed that 41.88 % patients develop post-COVID-19 symptoms. Fever and Cough were classified as one of the factors of post-COVID-19, followed by dyspnea, fatigue, cough, rhinitis, sore throat, and muscular discomfort. On the other hand, age, respiratory distress, lethargy, duration of illness and severity were classified as risk factors for post-COVID-19. There was a significant difference between symptomatic and asymptomatic patients as only 16.3 % patients showed post-COVID-19 symptoms. Based on the severity grade, 80.7 % of patients had mild COVID-19. We also found that people with ‘B’ positive blood group had a higher chance of developing post-COVID-19 syndrome. ConclusionIt was concluded that age, duration of illness, presence of respiratory distress, blood group, and disease severity are major risk factors for the development of post-COVID-19 syndrome.

Truth and Reconciliation through web design

We explore relationality and decolonization within the context of our shared attempts to blend Indigenist (Wilson & Hughes, 2019) and Western approaches to information sharing on a redesigned writing centre website. To reflect and honour the importance of story-telling in Indigenous ways of knowing and being, our core discussion is framed as a conversation that is experiential, reflective, and relational. We explain how the redesigned website supports students’ learning about themselves as academic storytellers through invitational, meaningful, personal online experiences. By telling the story of where the project started and our motivations, choices, emotional experiences, and lessons learned, we articulate an actionable, broadly adaptable pedagogical approach to decolonizing academic writing support.

How Algorithms Promote Self-Radicalization: Audit of TikTok’s Algorithm Using a Reverse Engineering Method

Algorithmic radicalization is the idea that algorithms used by social media platforms push people down digital “rabbit holes” by framing personal online activity. Algorithms control what people see and when they see it and learn from their past activities. As such, people gradually and subconsciously adopt the ideas presented to them by the rabbit hole down which they have been pushed. In this study, TikTok’s role in fostering radicalized ideology is examined to offer a critical analysis of the state of radicalism and extremism on platforms. This study conducted an algorithm audit of the role of radicalizing information in social media by examining how TikTok’s algorithms are being used to radicalize, polarize, and spread extremism and societal instability. The results revealed that the pathways through which users access far-right content are manifold and that a large portion of the content can be ascribed to platform recommendations through radicalization pipelines. Algorithms are not simple tools that offer personalized services but rather contributors to radicalism, societal violence, and polarization. Such personalization processes have been instrumental in how artificial intelligence (AI) has been deployed, designed, and used to the detrimental outcomes that it has generated. Thus, the generation and adoption of extreme content on TikTok are, by and large, not only a reflection of user inputs and interactions with the platform but also the platform’s ability to slot users into specific categories and reinforce their ideas.

Students’ personality types and their choices concerning writing in English as a foreign language

The article attempts to present the results of a pilot study conducted in January – June 2020 among Polish high school students. The main aim of the study was to investigate the relationship between students’ personality type and their choices concerning writing in English as a foreign language. The study consisted of two stages – in the first stage students took an online personality test (MBTI), in the second – they filled in a questionnaire to express their views concerning writing skill. The first, theoretical, part of the article depicts different definitions of personality from the perspective of psychological types and psychological traits and summarises basic information connected with writing skill. In the second part the results of the study are presented and some conclusions are drawn, focusing on what implications the knowledge of students’ personality types can have on teaching writing.

Influence of Social Media on Educational and Mental Wellbeing of Young Minds: A Critical Analysis

This study underscores the serious impact social media has on young people's educational and mental well-being. It emphasises the possible dangers of excessive and unrestrained social media use and how it can pose a detrimental impact on people's mental health worldwide, especially among youth. Empirical evidence repeatedly indicates that social media platforms can elicit emotions of jealousy and social comparison, exacerbating emotional well-being-related problems. Furthermore, the pressure to preserve a polished online persona can increase stress and anxiety leading to a negative impact on their wellbeing and academic achievement. Achieving a balance between the advantages of social media and its possible disadvantages is crucial for educators and politicians navigating this digital terrain. The study finds that social media has a profound effect on young people's behaviour, attitudes, and even cognitive processes, which can affect their academic achievement and psychological health in general. To effectively mitigate the negative effects of social media on today's young, policies and interventions must take these dynamics into account.

Empowering college students with personal privacy protection and anti-fraud on the internet: A comprehensive learning approach

As college students increasingly navigate their academic pursuits and social lives through the digital realm, safeguarding personal privacy on the internet becomes a pressing concern. For example, deep forgery technology has further increased personal privacy concerns. This technique can produce fake videos, pictures, and sounds that are highly realistic, making it a tool for the misuse of personal and sound data. Several artificial intelligences (AI) systems require large amounts of data for training and improvement, which can involve collecting and storing sensitive personal information. If this data is not adequately protected, and there is no clear privacy policy, it may lead to the misuse or disclosure of personal information. In response to the rapid development of artificial intelligence and the impact of deep forgery technology on privacy and security, this research first tested the students' understanding of deep forgery technology, then introduced the dangers of this technology, and finally gave them a reasonable and effective solution. To promote active learning, activities are integrated to simulate real-world scenarios that college students might encounter. These include creating strong passwords, identifying phishing attempts, and understanding the implications of oversharing on social media platforms. Additionally, students are encouraged to examine case studies documenting privacy breaches and their impact on individuals and society. This essay aims to present an effective learning approach for college students to enhance their understanding of personal privacy protection online and provide an effective way of solving personal problems.