Internet Use Research Articles

Motivational Analysis Behind Cyber Criminal Behaviour in Nigeria

The invention of the cyberspace showcased in the use of internet, a necessary tool that has come to stay, defining how people interact and communicate on daily basis, defiling the phenomenon of time and space, thereby making the world a global community. The internet can be said to be a two edged sword that is advantageous and can be destructive depending on the application and user motivations. It’s on this note that the work analyzes the motivations behind cybercriminal behaviour in Nigeria, Identifying ‘anonymity in cyberspace, thrill-seeking, financial gain, revenge seeking, addiction, law enforcement and weak cyber security’ as the key motivations behinds cybercriminal behaviours. ‘Routine Activity Theory’ was used to analyze the work, anchoring it on the premise of ‘motivated offender’. The study concluded with recommendations that government and stakeholders in the cyberspace industries, need to prioritize investment in ‘law enforcement and weak cyber security’ overhauling the security architecture in charge of prosecutions and investigation of cybercrime activities/offenses, which guarantee protection of confidential data and reduce the risk of cybercrimes.

An approach for modern gardening through monitoring and maintenance of plant health

The study explores the use of internet of things (IoT) devices in agriculture to improve sustainable practices and environmental concerns. It uses the ESP8266 microcontroller and the Blynk platform to create a revolutionary plant health monitoring and automated care system. The system is designed to handle continuous monitoring and plant maintenance in various environmental conditions. Sensors measuring light, temperature, humidity, and soil moisture are strategically placed to receive real-time data. The ESP8266 microcontroller analyzes this information and links it to the Blynk cloud for accessibility via mobile or web applications. The system is effective in monitoring ideal growing conditions, such as soil moisture and weather conditions. Automated care elements like irrigation and supplemental lighting have been shown to improve plant growth and health. The study contributes to smart farming by offering an affordable and easy way to automate and monitor plant health, demonstrating how IoT technologies can enhance agricultural practices, conserve resources, and enable remote management of plant ecosystems.

Личностные факторы риска развития интернет-зависимости у подростков 15–17 лет

Internet addiction formation and manifestations are a relevant trend in contemporary research. It is important to identify adolescents who have risk of developing Internet addiction so that early interventions can be made and certain impacts can be exerted on personal characteristics that contribute to formation of persistent addictive behavior able to affect health. The aim of this study was to establish personal risk factors of developing Internet addiction in adolescents aged 15–17 years. A comprehensive study was carried out on 407 adolescents aged 15–17 years who attended comprehensive secondary schools in Ivanovo. To assess the Internet addiction in adolescents, S. Chen’s method was used; personal characteristics of adolescents were determined using the Eysenck test. Mental performance was assessed based on the results of proofreading tests (M.V. Antropova); academic performance was estimated per the average score. Data were statistically analyzed using conventional methods of variation statistics. High neuroticism, introversion in girls, and centroversion in boys are risk factors able to cause formation of Internet ad-diction in adolescents; an increase in the severity of neuroticism in these groups combined with a decrease in accuracy, mental performance and academic performance is also a risk factor of Internet addiction in adolescents aged 15–17 years. A direct correlation was found between the Internet addiction score and the level of neuroticism. At risk of Internet addiction, introversion was detected in girls more often than in boys, and extraversion and high neuroticism were detected in the group with Internet addiction. Boys with Internet addiction were more likely to have centroversion than girls. Adolescents with severe Internet addiction had the lowest levels of accuracy and mental performance quotient and lower academic performance. High neuroticism, introversion in girls, centroversion in boys, an increase in the severity of neuroticism, a decrease in accuracy, mental performance and academic performance are risk factors of Internet addiction formation in adolescents. This justifies the need to carry out sanitary and hygienic measures that should involve development of standards for safe Internet use and inclusion of psycho-prophylaxis

Examining First- and Second-Level Digital Divide at the Intersection of Race/Ethnicity, Gender, and Socioeconomic Status: An Analysis of the National Health and Aging Trends Study.

Significant societal and technological changes in the 2010s called for an up-to-date understanding of the digital divide among older adults in the United States. This trend study aimed to examine the effects of race/ethnicity and the intersecting effects of race/ethnicity with other marginalized identities related to gender, income, education, and occupation on the first- and second-level digital divide. Utilizing a nationally representative sample of older community dwellers from the National Health and Aging Trends Study, we conducted weighted logistic regressions at 3 time points (2011/2013, 2015, and 2019). The first-level digital divide was measured by access to working phones or computers/laptops; the second-level divide was measured by 7 activities in personal task, social, and health-related Internet use. The first-level racial/ethnic digital divide became nonsignificant in 2019, whereas the disparities in all second-level measures persisted. The intersecting effects of race/ethnicity with low education and/or low income became nonsignificant in 2019 for personal-task use. However, the interactions with low education and/or low income became significant for social and health-related use in 2015 and/or 2019. This study highlights the persistence of the second-level racial/ethnic digital divide among older community dwellers in the United States, especially the exacerbated social and health-related digital divide for people of color with low socioeconomic status. By considering intersections of marginalized social identities, policymakers and stakeholders should develop targeted strategies to bridge the digital divide, promote health outcomes, and reduce health disparities.

Personal risk factors of internet addiction in adolescents aged 15–17 years

Internet addiction formation and manifestations are a relevant trend in contemporary research. It is important to identify adolescents who have risk of developing Internet addiction so that early interventions can be made and certain impacts can be exerted on personal characteristics that contribute to formation of persistent addictive behavior able to affect health. The aim of this study was to establish personal risk factors of developing Internet addiction in adolescents aged 15–17 years. A comprehensive study was carried out on 407 adolescents aged 15–17 years who attended comprehensive secondary schools in Ivanovo. To assess the Internet addiction in adolescents, S. Chen’s method was used; personal characteristics of adolescents were determined using the Eysenck test. Mental performance was assessed based on the results of proofreading tests (M.V. Antropova); academic performance was estimated per the average score. Data were statistically analyzed using conventional methods of variation statistics. High neuroticism, introversion in girls, and centroversion in boys are risk factors able to cause formation of Internet ad-diction in adolescents; an increase in the severity of neuroticism in these groups combined with a decrease in accuracy, mental performance and academic performance is also a risk factor of Internet addiction in adolescents aged 15–17 years. A direct correlation was found between the Internet addiction score and the level of neuroticism. At risk of Internet addiction, introversion was detected in girls more often than in boys, and extraversion and high neuroticism were detected in the group with Internet addiction. Boys with Internet addiction were more likely to have centroversion than girls. Adolescents with severe Internet addiction had the lowest levels of accuracy and mental performance quotient and lower academic performance. High neuroticism, introversion in girls, centroversion in boys, an increase in the severity of neuroticism, a decrease in accuracy, mental performance and academic performance are risk factors of Internet addiction formation in adolescents. This justifies the need to carry out sanitary and hygienic measures that should involve development of standards for safe Internet use and inclusion of psycho-prophylaxis

The Role of Internet to Bridge Language Gaps in Learning English as a Foreign Language in Solo's Multilingual

This study investigates the role of the internet in bridging language gaps and enhancing English as a Foreign Language (EFL) instruction within Solo's multilingual context. The focus is on how internet resources aid students in navigating between Bahasa Jawa, Bahasa Indonesia, and English, reflecting the multilingual dynamics of EFL classrooms. Utilizing a qualitative approach, semi-structured interviews were conducted with students from grade XII public senior high schools in Solo, Central Java. The findings reveal that the internet plays a significant role in facilitating language learning by providing access to diverse resources and interactive platforms. It is reported that internet tools help them create more engaging and culturally relevant lessons, which cater to the multilingual backgrounds of the students. Students highlighted that online resources offer immediate feedback, diverse learning materials, and opportunities for practicing English in real-world contexts, which are crucial for mastering a foreign language. Moreover, the study shows that the internet supports students in developing digital literacy skills, which are essential for effective language learning in the 21st century. The use of internet-based learning tools helps students seamlessly transition between languages, enhancing their overall language proficiency and confidence in using English. This research underscores the importance of integrating internet resources in EFL education to address the unique linguistic needs of students in multilingual settings. Future studies should explore the long-term impacts of internet use on language acquisition and its potential integration with traditional teaching methods to create a more holistic and effective EFL learning environment.

Problematic internet use: A growing concern for adolescent health and well-being in a digital era.

Problematic internet use: A growing concern for adolescent health and well-being in a digital era.

The Effect of Bullying Victimization on Cyberbullying Perpetration in Upper Elementary Students: The Sequential Mediating Effect of Hopelessness and Time Spent Online

Objectives: This study examined the effects of bullying victimization on cyberbullying perpetration and investigated whether hopelessness and time spent online sequentially mediate the relationship between bullying victimization and cyberbullying perpetration among upper elementary students.Methods: The participants were 596 upper elementary school students {5th and 6th graders; 291 boys (48.8%)} from Seoul and Gyeonggi-do. The data were collected through a self-report questionnaire and analyzed using SPSS 26.0 and PROCESS macro version 4.3 (Model 6) by Hayes (2017).Results: First, bullying victimization positively influenced cyberbullying perpetration. Second, the sequential mediating effects of hopelessness and time spent online were significant. Lastly, time spent online mediated the effect of bullying victimization on cyberbullying perpetration, whereas hopelessness did not mediate this effect.Conclusion: These findings indicate a link between bullying victimization and cyberbullying perpetration. Therefore, it is recommended that cyberbullying prevention programs include strategies to reduce bullying victimization. Furthermore, high levels of hopelessness resulting from bullying victimization may lead to excessive internet use, increasing the likelihood of cyberbullying perpetration. Thus, victims need to be informed of about the importance of reporting bullying incidents to adults such as teachers, counselors, or parents. Additionally, if victims already exhibit high levels of hopelessness, it is necessary to encourage them to participate in evidence-based programs. Finally, the significant mediating effect of time spent online suggests that monitoring and intervening in victims’ online activities are crucial for reducing the likelihood of cyberbullying perpetration. These efforts may help prevent victims from spending excessive time online to relieve their hopelessness and from perpetrating cyberbullying.

PROBLEMATIC INTERNET USE AND SOCIAL ANXIETY IN LATE ADOLESCENTS SOCIAL MEDIA USERS IN BEKASI CITY

The phenomenon of problematic internet use is one of the phenomena that is rife in late adolescents. This is an important concern for many researchers, especially regarding excessive internet use, especially in accessing social media. This study aims to determine whether there is a relationship between problematic internet use and social anxiety in late adolescents who use social media in Bekasi City. This study involved 111 late adolescents in the city of Bekasi who actively used social media for 5 hours or more/day. This research is a quantitative research with a correlational type. The sampling technique uses a purposive sampling technique. Data analysis was performed with the correlation technique of Pearson Product Moment using the program SPSS versi 25 for windows. Based on the result of research data analysis the value of corellation coefficient between those two variables is 0,661** with significant degree amount is 0,000, This suggest that there is a a positive relationship between problematic internet use and social anxiety among adolescents. So it can be concluded that the higher the problematic internet use in adolescents, the higher the level of adolescent anxiety.

How Does Internet Use Affect Citizen Political Participation? The Mediating Role of Social Networks

This study investigates the complex relationship between internet use and citizen political participation, emphasizing the mediating role of social networks. Using cross-sectional data from the 2021 Chinese Social Survey (CSS), we classify political participation into government-led and citizen-led activities and internet use into informational, entertainment-oriented, and service-oriented types. Overall, our findings reveal a positive correlation between internet use and both citizen-led participation and government-led participation (excluding voting), with a stronger association observed in the former. From a categorical perspective, informational and service-oriented internet use significantly influences all types of political participation, while entertainment-oriented use shows no significant correlation. Additionally, social networks mediate the relationship between internet use and political participation. Service-oriented internet use is more dependent on social networks to connect with political participation compared to information-oriented internet use. This study contributes to the ongoing debate on the impact of digital media on civic engagement by providing nuanced insights into how specific internet activities and social networks shape political participation in China.

The Impact of Traditional Children's Games on Internet Use, Social Skills, and Stress Level: A Cross-Sectional Design.

Traditional games are essential for children's social inclusion due to cultural values and beliefs. This study was conducted to measure the impact of traditional children's games on internet use, social skills, and stress levels. A cross-sectional design was carried out. Children who had parental approval and agreed to participate were included in the study (n = 314). The data were collected using a questionnaire, the Perceived Stress Questionnaire (8-11 years), and the Social Skills Assessment Scale. Linear regression and multinomial logistic regression were performed to analyze the data. Mantel-Haenszel chi-square test was performed to assess the confounding factors for playing traditional games. The children's mean age was 11.58 (SD = 0.49), and 56.1% were girls. Children who did not play traditional games were more likely to use the internet than those who played traditional games (odds ratio [OR] = 2.16, p = .014). The social skills were significantly associated with daily internet use time (β = 0.164, p = .003), playing traditional games (β = 0.155, p = .008), and frequency of gaming per week (β = 0.123, p = .035). The stress levels were associated with gender (β = 0.120, p = .033) and academic level (β = 0.111, p = .048). Traditional game playing reduced the duration of one sitting and daily internet use. Moreover, outdoor gaming, frequency of playing games, and daily internet use duration were predictors of social skills, whereas being a girl and sixth-grade student were predisposing factors of stress level. Nurses could benefit from traditional games in reducing internet use and stress and improving social skills in children.

Pengaruh Loneliness terhadap Problematic Internet Use pada Mahasiswa Dewasa Awal di Perantauan

The purpose of this study is to determine the effect of loneliness on problematic internet use in overseas early adult students. Data were collected with the Problematic Internet Use Scale and the Loneliness Scale from 100 samples. Sample selection was used using purposive sampling technique. The data analysis used is simple linear regression analysis. With the results of p value = 0.060 (>0.01), t count = 1.903 (> t table). This shows that there is a negative relationship or there is no influence of loneliness on problematic internet use in early adult students overseas. The coefficient of determination (R2) = 0.036, this shows that loneliness only has a contribution of 3.6% to problematic internet use.

Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis

BackgroundBurnout is usually defined as a state of emotional, physical, and mental exhaustion that affects people in various professions (e.g. physicians, nurses, teachers). The consequences of burnout involve decreased motivation, productivity, and overall diminished well-being. The machine learning-based prediction of burnout has therefore become the focus of recent research. In this study, the aim was to detect burnout using machine learning and to identify its most important predictors in a sample of Hungarian high-school teachers.MethodsThe final sample consisted of 1,576 high-school teachers (522 male), who completed a survey including various sociodemographic and health-related questions and psychological questionnaires. Specifically, depression, insomnia, internet habits (e.g. when and why one uses the internet) and problematic internet usage were among the most important predictors tested in this study. Supervised classification algorithms were trained to detect burnout assessed by two well-known burnout questionnaires. Feature selection was conducted using recursive feature elimination. Hyperparameters were tuned via grid search with 10-fold cross-validation. Due to class imbalance, class weights (i.e. cost-sensitive learning), downsampling and a hybrid method (SMOTE-ENN) were applied in separate analyses. The final model evaluation was carried out on a previously unseen holdout test sample.ResultsBurnout was detected in 19.7% of the teachers included in the final dataset. The best predictive performance on the holdout test sample was achieved by random forest with class weigths (AUC = 0.811; balanced accuracy = 0.745, sensitivity = 0.765; specificity = 0.726). The best predictors of burnout were Beck’s Depression Inventory scores, Athen’s Insomnia Scale scores, subscales of the Problematic Internet Use Questionnaire and self-reported current health status.ConclusionsThe performances of the algorithms were comparable with previous studies; however, it is important to note that we tested our models on previously unseen holdout samples suggesting higher levels of generalizability. Another remarkable finding is that besides depression and insomnia, other variables such as problematic internet use and time spent online also turned out to be important predictors of burnout.

Evaluatıon Of The Effıcıency Of Internet Addıctıon Educatıon Gıven To Secondary School

This study aims to examine the effectiveness of internet addiction education given to secondary school students. This research was carried out in the pretest-posttest control group design and the sample of the research consists of 90 secondary school students studying in a district of Mersin. 'Descriptive Characteristics Form and Internet Addiction Scale' were used to collect data. Students were given education on internet addiction, and questionnaires were applied before and four months after the education. While the mean of daily internet use time measured with the pretest was 120.55±134.11 in the education group, the mean time of daily internet use measured by the posttest was 66.87±66.91 minutes. It was found that there was a statistically significant difference in the education group in terms of the sub-dimensions of the internet addiction scale and the overall scale score before and after the education (p0.05). The questionnaire applied after the education showed that there was a statistically significant difference between the education and control groups in terms of negative social relations (p

Re-ISSUES—Renewable Energy-Linked Interoperable Smart and Sustainable Urban Environmental Systems

Smart cities will be smart if they improve their citizens’ quality of life; to do so, it is essential to listen to citizens and collaborate with service and technological companies. For that, digitalization seems essential. Environmental management systems are complex and expensive. If their lifecycle costs are reduced, these systems would be more sustainable. This can be achieved through citizen collaboration (CS), the use of low-cost Internet of Things (IoT) devices, and collaboration with local renewable energy businesses. All this leads to a real interoperability challenge. Systems engineering offers a valid framework for managing information and knowledge for environmental systems. It offers a range of guides for processes that can improve the quality of the related information and the reusability of knowledge throughout the lifecycles of these systems. After quantifying the opportunity and the cost for a motivational case of atmospheric neighborhood odor impact and introducing trends and opportunities in energy management, the authors propose a model for renewable energy-linked interoperable smart and sustainable urban environmental systems (re-ISSUES). The model’s ontology is used to discover research trends and potential for improvements to the model itself, enabling semantic interoperability and knowledge reuse.

Smartphone and Self-Harm: A study of TikTok Use as a Risk Factor

In recent years, the use of social media and the internet has become an inseparable part of everyday life, especially among adolescents. Social media offers a variety of benefits, including ease of communication, access to information, and entertainment. However, concerns have emerged about its negative impact on mental health, especially in relation to self-harm behavior. Adolescents often imitate the trend of self-harm and join in posting the results of scratches on social media. The aim of this study was to determine variations in self-harm in adolescents which are related to the duration of internet use in one day and the use of social media. The research method uses a comparative descriptive approach and Two-Way ANOVA analysis to explore interactions between these variables. Data was collected through an online survey with a self-harm instrument consisting of 18 statements, with respondents choosing from 4 alternative answers available. The results of the analysis show that there are significant differences in self-harm behavior based on the duration of internet use per day and the type of social media used. Adolescents who use the TikTok platform show a higher self-harm score compared to other platforms, especially with longer duration of internet use. These findings indicate that the type and way of using social media has a significant influence on self-harm behavior.

Association between internet addiction and musculoskeletal disorders in Iranian medical sciences students

BackgroundThe utilization of the Internet can lead to adverse outcomes in students’ lives. Prolonged Internet usage may result in academic failure, an elevated risk of musculoskeletal problems, and the emergence of issues impacting the lives of students and their peers. This study aimed to explore the relationship between Internet addiction and musculoskeletal disorders (MSDs) among students in the field of medical sciences.MethodsIn this cross-sectional study, 314 medical sciences students in Semnan, Iran, were assessed using the census sampling method. The participants’ Internet addiction status and the presence of MSDs were determined through Young’s Internet Addiction questionnaire and the Nordic self-report questionnaire, respectively. Data underwent analysis employing logistic regression test to ascertain the relationship between Internet addiction and MSDs.ResultsAmong the 314 participating students in this research, about 21% and 1.6% of the participants were lay open to and suffered from Internet addiction, respectively. Internet addiction was associated with the presence of pain, discomfort, burning, or numbness in the neck, wrist, upper back, hips, and thighs. For each unit increase in the Internet addiction score, the chance of neck and wrist pain rises by 3% compared to a 2% increase in upper back and hip/thigh pain.ConclusionThe findings of this study indicate that excessive Internet use is linked to a heightened risk of MSDs in medical sciences students. Consequently, it is imperative to raise awareness about these complications and promote the adoption of proper posture when using the Internet. Further research is also warranted among diverse student populations to investigate the impact of Internet addiction.

Associations between personality and problematic internet use among Chinese adolescents and young adults: A network analysis

BackgroundWith the number of internet users booming, problematic internet use (PIU) has become a public health threat. This study aims to figure out the inter-relationships between PIU symptoms and personality traits with network-based analysis among young people and to discuss the gender difference in the above networks. MethodsBased on a national cross-sectional study in 2022, 4655 Chinese adolescents and young adults aged 14 to 25 were included. We adopted the 6-item Short-Form Problematic Internet Use Questionnaire (PIUQ-SF-6) and the 10-item version of the Big Five Inventory (BFI-10) to measure PIU and personality traits, respectively. Network analysis was used to identify influential nodes and edges and compare the network models between male and female participants. ResultsThe mean age of 4655 participants was 19.84, and 52.1 % (2424) of them were females. There are differences in age and gender between participants with and without PIU (P < 0.05). The network of personality and PIU showed that 22 out of the 28 edges were estimated to be nonzero, and “obsession-neuroticism” was the strongest positive edge between the two communities. Central symptoms (i.e., “obsession” and “control disorder”) and bridge symptoms (i.e., “obsession” and “neuroticism”) have been identified. Gender differences existed in network global strength: female = 3.71, male = 3.18 (p < 0.001). LimitationsThe cross-sectional study needs more evidence to build causal inference. ConclusionsThe results of PIU-personality networks may contribute to the personalized prevention and treatment of PIU. The gender difference in PIU-personality networks also requires more attention and discussion.

Green Energy Management in Manufacturing Based on Demand Prediction by Artificial Intelligence—A Review

Energy efficiency in production systems and processes is a key global research topic, especially in light of the Green Deal, Industry 4.0/5.0 paradigms, and rising energy prices. Research on improving the energy efficiency of production based on artificial intelligence (AI) analysis brings promising solutions, and the digital transformation of industry towards green energy is slowly becoming a reality. New production planning rules, the optimization of the use of the Industrial Internet of Things (IIoT), industrial cyber-physical systems (ICPSs), and the effective use of production data and their optimization with AI bring further opportunities for sustainable, energy-efficient production. The aim of this study is to systematically evaluate and quantify the research results, trends, and research impact on energy management in production based on AI-based demand forecasting. The value of the research includes the broader use of AI which will reduce the impact of the observed environmental and economic problems in the areas of reducing energy consumption, forecasting accuracy, and production efficiency. In addition, the demand for Green AI technologies in creating sustainable solutions, reducing the impact of AI on the environment, and improving the accuracy of forecasts, including in the area of optimization of electricity storage, will increase. A key emerging research trend in green energy management in manufacturing is the use of AI-based demand forecasting to optimize energy consumption, reduce waste, and increase sustainability. An innovative perspective that leverages AI’s ability to accurately forecast energy demand allows manufacturers to align energy consumption with production schedules, minimizing excess energy consumption and emissions. Advanced machine learning (ML) algorithms can integrate real-time data from various sources, such as weather patterns and market demand, to improve forecast accuracy. This supports both sustainability and economic efficiency. In addition, AI-based demand forecasting can enable more dynamic and responsive energy management systems, paving the way for smarter, more resilient manufacturing processes. The paper’s contribution goes beyond mere description, making analyses, comparisons, and generalizations based on the leading current literature, logical conclusions from the state-of-the-art, and the authors’ knowledge and experience in renewable energy, AI, and mechatronics.

Health Information Seeking on the Internet Among Patients With and Without Cancer in a Region Affected by the 2011 Fukushima Triple Disaster: Cross-Sectional Study.

Health information seeking via the internet among patients with cancer in disaster-affected areas is underresearched. This study aims not only to assess the extent and means of web-based health information seeking among patients with cancer living in the disaster-affected area of the 2011 Fukushima triple disaster but also to compare these patterns with those without cancer, identifying distinct and shared factors influencing their web-based health information behaviors. We surveyed 404 patients (263 with and 141 without cancer) from the surgery department outpatient office at Minamisoma Municipal General Hospital, from October 2016 to January 2017. The survey included self-administered questions on internet and digital device use. Descriptive analyses were performed to examine the use patterns of digital devices and the internet and their impact on health information seeking across different age groups of patients with and without cancer. Multivariable logistic regression was used to examine factors associated with web-based health information seeking, stratifying by cancer diagnosis. The proportion of participants who sought health information on the internet was comparable between patients with cancer and patients without cancer (19% vs 17.4%; P=.71). Digital device use varied significantly with age, with peak smartphone use occurring among the youngest cohorts for both groups. Multivariable logistic regression revealed that patients with cancer using smartphones or tablets daily were significantly more likely to gather web-based health information (odds ratio [OR] for smartphones 3.73, 95% CI 1.58-8.80; OR for tablets 5.08, 95% CI 1.27-20.35). Trust in institutional websites also significantly influenced web-based health information gathering among patients with cancer (OR 2.87, 95% CI 1.13-7.25). Conversely, among patients without cancer, unemployment was associated with a lower likelihood of seeking web-based health information (OR 0.26, 95% CI 0.08-0.85), whereas trust in both institutional and personal websites significantly increased this likelihood (OR for institutional websites 6.76, 95% CI 2.19-20.88; OR for personal websites 6.97, 95% CI 1.49-32.58). This study reveals that a small proportion of both patients with cancer and patients without cancer engage in health information seeking via the internet, influenced by age, digital device use, and trust in institutional websites. Given the growing prevalence of digital literacy, strategies to enhance accessible and reliable web-based health information should be developed, particularly for patients with cancer in postdisaster settings. Future efforts should focus on tailored health communication strategies that address the unique needs of these populations.