Social Networking Platforms Research Articles

Measuring the Effects of Mobile and Social Networking Technology on the Enhancement of English Language Skills: A Comparative Study

This study investigates the effectiveness of mobile learning and teaching technologies and social networking platforms in enhancing English language skills among students in senior secondary public schools in India. Given the rising interest in these educational tools, their impact on language skill development remains underexplored. Addressing this gap, the study employed an experimental design with 120 randomly selected participants divided into three groups. For 12 weeks, each group received English language instruction through different mediums: mobile learning technology (Google Classroom), a social media application (WeChat), and a traditional multimedia projection system. The findings indicate a significant improvement in the English language proficiency of students who used mobile learning technology, as opposed to those who engaged with social media tools or traditional methods. This highlights the potential of mobile learning technologies in effectively enhancing language learning outcomes in the educational context. Furthermore, the traditional multimedia methods employed were found to be less effective in fostering language proficiency when compared to the employment of Google Classroom and WeChat. Given the results of this study, it is proposed that future research endeavors investigate the potential impact of severe games on language learning outcomes. In addition, it is advised that future investigations focus on creating and integrating demanding games that aim to enhance students’ proficiency in the English language.

Effects of network connectivity and functional diversity distribution on human collective ideation

Human collective tasks in teams and organizations increasingly require participation of members with diverse backgrounds working in networked social environments. However, little is known about how network structure and the functional diversity of member backgrounds would interact with each other and affect collective processes. Here we conducted three sets of human-subject experiments which involved 617 university students who collaborated anonymously in a collective ideation task on a custom-made online social network platform. We found that spatially clustered collectives with assortative background distribution tended to explore more diverse ideas than in other conditions, whereas collectives with random background distribution consistently generated ideas with the highest utility. We also found that higher network connectivity may improve individuals’ overall experience but may not improve the collective performance regarding idea generation, idea diversity, and final idea quality.

Consumption of Instagram corporal practice content by women consumption of corporal practice

This study aims to understand women’s perception of consuming corporal practices content present on social network platform Instagram. This is a qualitative descriptive research, which included 45 women, aged 18-55 years, from 26 Brazilian states, and who are Instagram users. The semi-structured interview model was used as a data collection instrument, and online interviews were conducted and later recorded and transcribed into an electronic file. Data analysis was performed by non-aprioristic categories. Results found that some of the volunteers consume Instagram corporal practices content and it is possible to observe different preferences about this consumption. It can also be seen that on the one hand content shared on Instagram generated volunteers’ interest in trying and joining new modalities, an also made them know modalities hitherto unknown or that had not called their attention, but, on the other, possible issues in relation to mental health and aesthetic pressure were identified. In conclusion, consumption of Instagram information can be a way to encourage women to maintain their corporal practices if allied to the interests of Physical Education.

Rapid isolation of cytotoxic daphnane diterpenoids from Daphne altaica Pall. using MS-DIAL.

Daphnane diterpenoids occurring in plants of the Thymelaeaceae are the focus of natural product drug discovery because of the wide range of their therapeutically biological activities. Considering the limited occurrence in some plants of the Thymelaeaceae, it is imperative to design a strategy for the target isolation of daphnane diterpenoids. In this study, a strategy was developed to filter the data using MZmine, generate the molecular network using the Global Natural Product Social Molecular Network Platform (GNPS), and determine the retention time of target compounds using MS-DIAL. Under the guidance of the approach which integrates the analysis of LC-MS/MS, compounds 1-5, representative diterpenoids from Daphne altaica Pall., were isolated. Their structures were determined through detailed spectroscopic analyses and ECD calculations. The growth-inhibitory activities of the isolated compounds against MCF-7, A549, and HepG2 cell lines was examined. Notably, compound 1 demonstrated the most noticeable cytotoxicity, exhibiting potent growth inhibition activities against A549 and HepG2 cells with IC50 values of 2.89 μM and 5.30 μM, respectively. Further morphological and staining analyses corroborated that compound 1 induced apoptosis in A549 and HepG2 cells, highlighting its potential as a bioactive agent.

An Analysis of the Impact of Brand Image and Perceived Value on Reuse Intention through Trust in Social Networking Platforms

An Analysis of the Impact of Brand Image and Perceived Value on Reuse Intention through Trust in Social Networking Platforms

Marriage practices of Chepang and Tamang communities: Legal consequences and implications post-federalization in Nepal"

Chepang and Tamang ethnics are the backward communities living with substantial farming system. The marriage practice is traditional, elope, love and arrange. The legal age stands 20 years for Nepalese but estimated 40 percent in rural areas ongoing child marriage. This study aims to explore marriage consequences and legal aspects in three consecutive Rural municipalities of Makwanpur district. A descriptive study with cross-sectional analysis was taken for Chepang and Tamang respondents. The study followed the mixed method where KII, FGD and key field notes were taken. The field survey took 3 months (March to July 2023). The age of couple during marriage is recorded as 14 to 15 years. Traditional marriage system following male and female proposals tiding into the marriage approaching by elders of the family. Whereas, love and elope marriage cases are rapidly increasing due to the uses of social networking platforms connecting youth through Android mobiles. The communication of males/ females noticed schools, fairs, social and ritual gatherings before marriage. The Chepang and Tamang customs agreed to accept all types of marriage made through groom/ bride at the end. The legal age of marriage is recorded as 20 years as per the Law and most people are well aware but still no legal cases or complaints raised in the community considering norms and values of the Chepang and Tamang cultures. The study concluded further that marriage at an early age is no doubt a child marriage and law and legitimacy are a strong factor but this is not applied rural-areas as the local customs and norms are prime factors to running the society and the local values and norms are much above than law. Policy advice to decrease the marriage age is advised.

Popularity Of Da'wah Ustad Muhammad Ihsan As A Young Da'i Through Youtube Accounts In Lombok

Almost all da'I today appear active in preaching on social media, including Youtube, Instagram, Facebook, and Twitter. Several national preachers are already popular in Indonesia, namely Ustad Abdussomad, Ustad Syam, Ustad Hadi Hidayat, and Gus Baha'. Local preachers, such as TGH Muammar Arafat, TGH Mukhlis Ibrahim, and Dr. TGH Zainudin Abdul Majid, are also popular for da'wah. Today, another young preacher is popular in society; the source of his Popularity comes from the theme of preaching, methods of preaching, and social media accounts. Ustad Muhammad Ihsan fa, familiarly known as Ustad Ocet, is a young preacher from Lombok who is popular today. So, researchers want to explore the Popularity of Ustad Muhammad Ihsan's Da'wah through his Youtube account. This research uses the Net Nography method, an ethnographic approach, to analyze social interactions in cyberspace. Researchers focused on looking for data related to Ustad Muhammad Ihsan's preaching content on several Youtube accounts using steps such as Identifying social network platforms, collecting data, analyzing data using specific qualitative analysis methods, content analysis, and interpretation and conclusions from all data. The results of this research show that the Popularity of Ustad Muhammad Ihsan's preaching as a Young Da'I through his Youtube account in Lombok is proven by several things such as First, He is still young but has the skills to preach. Second, have a friendly attitude. Third, many Youtube channels upload lecture videos. Fourth, using interesting da'wah methods such as the humorous da'wah method, the communicative da'wah method, the singing da'wah method, and the storytelling da'wah method.

Acceptance of COVID-19 vaccine and its related determinants in Nigeria: An online survey.

Vaccine hesitancy is a major challenge in the fight against the coronavirus disease 2019 (COVID-19) pandemic. Identifying the sociodemographic factors associated with vaccine acceptance among Nigerians is crucial for improving vaccine uptake. To assess the acceptance rate of COVID-19 vaccine and its related determinants among Nigerians. An online cross-sectional survey (observational study) was conducted between February 2021 and May 2021, using a questionnaire hosted on SurveyMonkey. The invitation to take part in the poll was sent out to participants through social networking platforms. A logistic regression was used to determine which sociodemographic factors were associated with vaccine acceptance constructs. A total of 1800 persons responded to the survey, a larger proportion of whom were males (53.9%) and within the age group of 21-30 years (29.4%) and earned an average income of less than $500 per month (43.3%). Only 0.56% of participants had a high perceived risk of COVID-19 infection, while only 1.11% had a perceived risk of dying from COVID-19. The perception rate of the COVID-19 vaccine among participants was 51.1%, while the acceptance rate was 63.9%. There was no significant association between the COVID-19 vaccine acceptance rate and related determinants assessed, particularly age (χ² = 3.049, P = 0.550), sex (χ² = 0.102, P = 0.749), average income (χ² = 3.802, P = 0.875), and religion (χ² = 2.819, P = 0.420). Participants with chronic conditions demonstrated a higher acceptance rate compared to the general population. Despite the positive perception observed and substantial vaccine acceptance rate among the study participants, more public health interventions are still needed to enhance vaccine acceptability in Nigeria.

Social network and linguistic analysis of the #nutrition discourse on the social network platform X, formerly known as Twitter

Social network analysis (SNA) of social media content allows information transfer to be visualised, identifies influential actors, and reveals public opinion. However, to date no research has investigated content related to nutrition on X. This study examined the #nutrition conversations on X (formerly Twitter) utilising SNA and linguistic methods. NodeXL Pro was used for network, semantic and sentiment analyses on English language posts including ‘#nutrition’ collected between 1 and 21 March 2023. The #nutrition network included 17,129 vertices (users) with 26,809 edges (relationships). NodeXL Pro was used to assess the structure of the network and the actors involved by calculating the network metrics. The results show a low density, dispersed network (graph density = 0.001) with most users communicating heavily with a small number of other users. These subgroup community cluster structures restrict information flow outside of the subgroups (modularity = 0.79). These network structures rely on influential users to share information (betweenness centrality range, 0 to 23,375,544). Notably, influential users were typically from both personal and not-for-profit accounts. Semantic analysis identified 97,000 word-pair edges with the most frequently discussed topics related to health, healthy lifestyle and diet, with a positive sentiment found across the network. By using SNA, semantic, and sentiment analyses, this study found a dispersed X network with a high proportion of unconnected users who did not have relationship with other users in the network. The findings reveal a publicly driven debate focused on healthy diets and lifestyle, with information primarily propagated through reposting.

Profiling the AI speaker user: Machine learning insights into consumer adoption patterns.

The objective of this study is to identify the characteristics of users of AI speakers and predict potential consumers, with the aim of supporting effective advertising and marketing strategies in the fast-evolving media technology landscape. To do so, our analysis employs decision trees, random forests, support vector machines, artificial neural networks, and XGboost, which are typical machine learning techniques for classification and leverages the 2019 Media & Consumer Research survey data from the Korea Broadcasting and Advertising Corporation (N = 3,922). The final XGboost model, which performed the best among the other machine learning models, specifically forecasts individuals aged 45-50 and 60-65, who are active on social networking platforms and have a preference for varied programming content, as the most likely future users. Additionally, the model reveals their distinct lifestyle patterns, such as higher internet usage during weekdays and increased cable TV viewership on weekends, along with a better understanding of 5G technology. This pioneering effort in IoT consumer research employs advanced machine learning to not just predict, but intricately profile potential AI speaker consumers. It elucidates critical factors influencing technology uptake, including media consumption habits, attitudes, values, and leisure activities, providing valuable insights for creating focused and effective advertising and marketing strategies.

Relieving Overexposure in Information Diffusion Through a Budget Multi-stage Allocation

When information dissemination campaigns on Online Social Networking platforms are too aggressive, this can easily cause information overexposure. Overexposure can break through the psychological and physiological limits that the audience can tolerate, making it difficult for the audience to obtain reasonable cognitive concepts. For example, the overexposure of information referring to an object in a promotional campaign can lead to inflated expectations in individuals. Building on this, we introduce two indicators for individuals’ expectations and actual utility of the object and design a multi-stage triggered mechanism for seed individuals to explore the relieving overexposure problem in information diffusion. We build a multi-stage information diffusion model and characterize the evolution of individual expectations. We verify the hardness result of the relieving overexposure problem by budget multi-stage allocation, and the non-submodularity and non-monotonicity of the objective function. Addressing the non-monotonic and non-submodular set function, we provide a direct influence-oriented algorithm with a greedy approach. Extensive experiments are performed on four real networks to explore how model parameters and network properties affect the effects of multi-stage triggered strategies for seed individuals. Using the experiments, we found that the seed individual multi-stage incremental triggered strategy of dissemination campaign of information referring to an object shows better performance, and the lower the actual utility of the specific object, the more accurate the promotion strategy needs to be developed.

To Explain or Not To Explain: An Empirical Investigation of AI-based Recommendations on Social Media Platforms

Artificial intelligence integration into social media recommendations has significant promise for enhancing user experience. Frequently, however, suggestions fail to align with users’ preferences and result in unfavorable encounters. Furthermore, the lack of transparency in the social media recommendation system gives rise to concerns regarding its impartiality, comprehensibility, and interpretability. This study explores social media content recommendation from the perspective of end users. To facilitate our analysis, we conducted an exploratory investigation involving users of Facebook, a widely used social networking platform. We asked participants about the comprehensibility and explainability of suggestions for social media content. Our analysis shows that users mostly want explanations when encountering unfamiliar content and wish to be informed about their data privacy and security. Furthermore, users favor concise, non-technical, categorical representations of explanations along with the facility of controlled information flow. We observed that explanations impact users’ perception of the social media platform’s transparency, trust, and understandability. In this work, we have outlined design implications related to explainability and presented a synthesized framework of how various explanation attributes impact user experience. In addition, we proposed another synthesized framework for end user inclusion in designing an explainable interactive user interface.

Instagram as a Communication Space for Painters

Instagram is a social network platform intended for communication between the creator of information and its recipients, as well as between the recipients themselves. The driving force of Instagram has been recognised by many artists that decided to promote their creative work on this platform. This social network is also used to fulfil advertising contracts that the artists have concluded with companies. The question therefore is whether the number of followers is mainly affected by the artistic achievements of their authors or by out-of-art marketing activities? Instagram contains many profiles of people involved in other branches of art, including painting. It seems that due to the field of art they deal with, the private life of an artist painting pictures is not as interesting as the life of popular actors or singers. As a result, their profiles are mainly concentrated on presenting artistic achievements using a platform that helps them reach a broad spectrum of viewers. This article provides a selective review of popular profiles of artists, taking into consideration the way in which they present their art on the Internet and how the artist communicates with users, as well as how the communication between users themselves looks.

The Future of Chatbots in the Digital Economy: Opportunities for Sustainable Revenue Growth (SDG) MSMEs

Objective: This research seeks to examine and assess the effects of chatbot adoption as a means to increase business sustainable revenue growth (SDG) for MSMEs in the Banten Province area of Indonesia which is factored by the perception of ease and quality of information. Theoretical Framework: This research is based on the TAM-ISS integration model to investigate the adoption of AI chatbot technology by MSME actors that affect MSME sustainable revenue growth (SDG). The optimization of the TAM-ISS model is adopted to form an ideal concept for supporting digital business interactions. Method: Analysis of data This research employs Structural Equation Modeling Partial Least Squares (SEM PLS). Data collection using questionnaires through structured questions to 230 respondents taken from 3,544 MSME actors in 8 regions in Banten Province, Indonesia. Results and Discussion: The study's conclusions show that chatbot adoption is strongly positively impacted by perceptions of usability and information quality. Additionally, the use of chatbots significantly boosts the sustainable revenue growth (SDG) of MSMEs. According to the study's findings, the use of chatbots is a significant mediating factor in the relationship between information quality and usability perceptions, which supports the expansion of MSME sustainable revenue growth (SDG) in Banten Province overall. Research Implications: The findings of this investigation offer important insights that will help MSME actors effectively adapt and utilize chatbot technology, leading to sustainable success and global competitiveness (SDGs) in the digital economy. These findings contribute to a broad understanding of how perception of usability, and information quality can increase the acceptance of AI chatbot technology, which will ultimately impact the sustainable revenue growth (SDG) to address the challenge of strengthening business competitiveness as AI technology rapidly develops. Originality/Value: This is the first study to experimentally examine how perception of usability and information quality on the adoption of AI chatbot technology, which specifically affects the growth of MSME sustainable revenue (SDG) in Indonesia's Banten Province. The most recent is the usage of chatbots, which are still relatively new when compared to social networking platforms as a way for MSME actors to communicate digitally.

Exploring Occupational Health Challenges in Pathology: A Cross-Sectional Survey of Indian Pathologists.

Introduction Occupational health hazards are a significant concern for pathologists due to their unique work environment. These professionals face risks from prolonged microscope use, exposure to chemicals such as formalin, and handling sharp instruments, leading to issues such as musculoskeletal disorders and needlestick injuries. Addressing these hazards is crucial for their well-being and the overall efficiency of medical diagnostics. Implementing effective safety measures and increasing awareness can create a safer and healthier workplace for pathologists. Objective This study primarily aimed to assess the prevalence of occupational health hazards among Indian pathologists. It further assessed the knowledge and attitudes of pathologists towardsafety practices in pathology. Specifically, it explored the research questions: What are the levels of awareness and adherence to safe practices among pathologists? What common factors contribute to reluctance in following these practices, particularly concerning occupational hazards such as musculoskeletal disorders, cut injuries, and chemical exposure? Materials and methods Online and offline versions of a survey questionnairewere prepared to cover the spectrum of occupational hazards regarding musculoskeletal diseases, cut injuries, and level of awareness. The questionnaire was shared through email and social networking platforms with over 1000 pathologists across India. The responses, inputs, and open-ended comments from the respondents were collected and analyzed. Results A total of 146 pathologists responded and completed the survey, starting from residents to professors. Almost all of them had experienced musculoskeletal problems, among which neck pain was the predominant problem, accounting for 82 (56.2%), followed by low back aches, accounting for 69 (47.3%). Needlestick injury was reported by 33 (22.6%) as "at least once in the past year."Cut-related injury while performing grossing/autopsy was reported by 57 (39%), and 29 (19.8%) pathologists sustained this cut-related injury once within the last one year. A total of 26 (17.8%) pathologists had been injured two to five times, and twopathologists (1.3%) had this injury more than five times within last one year. Over half of the respondents, i.e., 90 (61.6%) pathologists, reported eye fatigue symptoms. Additionally, 94 (64.3%) pathologists reported an increase in refractive error after joining the practice, with myopia being the most common, affecting 69 (47.2%) pathologists.Adverse reactions to formalin were reported by 96 (66%) of the 146 respondents.These findings highlight the need for ergonomic interventions and stricter safety protocols in pathology laboratories. Conclusion The study highlights substantial occupational health challenges among Indian pathologists, particularly musculoskeletal issues, needlestick and cut injuries, eye strain, and adverse effects of formalin exposure. These findings emphasize the urgent need for enhanced safety training and compliance with best practices to mitigate health risks, improve occupational well-being, and support the sustainability of pathology practice in India.

Effect of WhatsApp Messenger-based education on the knowledge of health ambassadors about home care for minor illnesses

BackgroundIn the digital era, virtual education has become one of the most effective educational methods, in which, the latest educational materials can be made available to people using social network platforms. Health ambassadors are mediators for transferring health-related knowledge to the public, so, they must be aware of various health topics, such as home care for minor illnesses. This study aimed to determine the effects of social media-based interventions (using WhatsApp) on the knowledge of health ambassadors concerning home care for minor illnesses.MethodsThis research was an interventional study carried out in 2021 among health ambassadors in the urban and rural areas of Fasa, a city in the southeast of Fars province. In this study, 121 health ambassadors were divided into control and intervention groups. The educational content is designed based on the Encyclopedia of Self-care Guide in Minor Illnesses and was presented in text, image, and video formats via WhatsApp Messenger to the intervention group on a two-day interval for two weeks. The knowledge level was assessed using a valid and reliable questionnaire developed by researchers.ResultsAfter education through WhatsApp, the level of knowledge significantly improved in the intervention group from 30.34 ± 5.58 to 44.80 ± 8.49 (P < 0.001). No significant change was observed in the control group, 34.98 ± 7.19 to 35.67 ± 9.66 (P = 0.431). By controlling the effect of gender, age, marital status, occupation, education, and previous knowledge about minor illnesses by regression analysis, there was a significant improvement in knowledge in the intervention compared to the control group.ConclusionsEducation through WhatsApp messenger elevated the level of knowledge of health ambassadors about minor illnesses. Generally, using communication technologies for healthcare workers can improve patients and their caregiver’s healthcare services and education.

Minimal Clinically Important Differences With the Outcomes of the App-Based Japanese Allergic Conjunctival Diseases Quality of Life Questionnaire: Cross-Sectional Observational Study.

Assessing changes in quality of life in patients with hay fever-related allergic conjunctivitis requires validated and clinically meaningful metrics. A minimal clinically important difference (MCID) that can be applied to assess Domain II of the Japanese Allergic Conjunctival Disease Quality of Life Questionnaire (JACQLQ) in a smartphone app setting has yet to be determined. This cross-sectional observational study aimed to determine MCIDs for the app-based JACQLQ in assessing hay fever-related allergic conjunctivitis. This study used data from a crowdsourced, cross-sectional, observational study conducted via the smartphone app "AllerSearch" between February 1, 2018, and May 1, 2020. Participants were recruited through digital media and social networking platforms and voluntarily provided electronic informed consent. Participants completed the JACQLQ, which includes items on daily activity and psychological well-being, as well as a visual analog scale to measure stress levels related to hay fever. Data were collected through the app, ensuring comprehensive user input. MCIDs were determined using both anchor- and distribution-based methods. The face scale of the JACQLQ Domain III and stress level scale for hay fever were used as anchors to estimate the MCID; ranges were derived from these MCID estimates. In the distribution-based method, MCIDs were calculated using half the SD and SE of the JACQLQ Domain II scores. SEs were derived from the intraclass correlation coefficient of an app-based JACQLQ test-retest reliability metric. A total of 17,597 individuals were identified, of which 15,749 individuals provided electronic consent. After excluding those with incomplete data, 7590 participants with hay fever were included in the study (mean age 35.3, SD 13.9 years; n=4331, 57.1% of women). MCID ranges calculated using the anchor-based method were 1.0-6.9, 1.2-5.6, and 2.1-12.6 for daily activity, psychological well-being, and total JACQLQ Domain II scores, respectively. Using the distribution-based method, the intraclass correlation coefficients were odds ratio (OR) 0.813 (95% CI 0.769-0.849) for daily activity, OR 0.791 (95% CI 0.743-0.832) for psychological well-being, and OR 0.841 (95% CI 0.791-0.864) for total JACQLQ Domain II scores. In addition, the distribution-based method resulted in 2 MCIDs based on half the SD and SE of measurement for daily activity (4.8 and 4.2), psychological well-being (3.4 and 3.1), and total JACQLQ Domain II (7.8 and 6.4) scores. The final suggested MCID ranges for daily activity, psychological well-being, and total JACQLQ Domain II scores were 4.2-6.0, 3.1-4.7, and 6.4-10.5, respectively. MCID ranges for the JACQLQ estimation could help to standardize the app-based quality of life assessment for patients with hay fever-related allergic conjunctivitis. These MCIDs enhanced the precision of remote symptom monitoring and facilitated timely, data-driven interventions, ultimately improving the overall management and outcomes of allergic conjunctivitis through mobile health platforms.

What target language use characterizes high-performing L2 learners in a migration context?

Aims and Objectives/Purpose/Research Questions: Previous studies have investigated if quantity of target language (TL) use predicts second language (L2) learning. The aim of this study is to understand what kind of TL use promotes host language proficiency among adults in the context of migration, operationalized as productive collocation knowledge. Design/Methodology/Approach: The study takes a cross-sectional quantitative approach to explore what clusters of TL activities predict language proficiency among 63 first language (L1) French L2 Swedish long-term residents in Sweden. Data and Analysis: Data were collected within a larger project. Productive collocation knowledge was assessed by a collocation test and participants’ TL use through the Language Engagement Questionnaire. We conducted a factor analysis to identify patterns of TL use. We then used structural equation modeling to investigate the relationship between TL use and productive collocation knowledge. Findings/Conclusions: Two factors emerged from the factor analysis: “Everyday Interactive Target Language Use” and “Non-interactive Target Language Use.” Only the former was related to productive collocation knowledge as evidenced by the structural equation modeling. “Everyday Interactive Target Language Use” included using the TL at the workplace, in conversations and service encounters, through text messages and emails, participating in online social network platforms, and browsing the internet. Originality: The study explores what specific kind of TL use promotes second language proficiency among adults in a migration context. This is a topic that has not received much attention in previous research. Significance/Implications: By showing that proficient L2 users engage daily with the TL through, for example, social interactions and language use at work, the study points toward the importance of a certain level of socio-economic as well as socio-cultural integration for efficient second language learning among adults in a migration context.

Cognitive Map of Perceptions of Social Networks as a Means of Justice in Sexual Offenses

The decision to share deeply personal experiences of sexual violence publicly is complex and multifaceted. This study provides valuable insights into this phenomenon. Interviews conducted with fifteen victims of sexual assault in Israel provide insights into the decision-making pathways of victims. The existing literature on sexual victims of sexual assault in Israel offers insights into their decision-making pathways but often lacks integration between theoretical concepts and practical outcomes. This article contributes to this field by proposing a detailed cognitive map that illuminates the specific decisions made by victims in choosing where to disclose their assault. The cognitive map presented in this study provides a comprehensive view of victims’ decision-making pathways. This study is part of a larger research project that involves interviewing communication consultants and analyzing posts from the social network platform Instagram to better understand the perceptions and behaviors of sexual assault victims. The interviews brought up four main themes: the existence of communicative justice and its importance as an arena for achieving justice; social media is critical for achieving justice, sometimes even more than the institutional arena; procedural justice is more important than outcome justice; voice is a leading principle in procedural justice principles.

Effect of Social Media on Students&amp;apos; Academic Performance in Ahmadu Bello University Zaria: Social Media and Its Impact

Social media is a web-based service that gives individual the opportunity to create either a public or semi-public profile within a bounded system, furthermore it’s add a list of others with which they share a connection, view their list of connections and those made within the system. Therefore, this study is aim at examining the impact of use of social networking on students’ academic performance in Ahmadu Bello University Zaria. There is an increase of in used of social networking and some of the teachers in the department are raising the concern that when lectures is going some students are involved in social networking or sleeping. The teachers can’t verify their claim, because some student will argue that they are using the softcopy of the materials in the phones. The second hypothesis of the teachers concerning those sleeping during the lectures must have been spend time during the night socializing and so does not have enough rest. The necessity to carry out a research in that area to check mates the heavy users of social media, the time of day spend socializing and the purpose of the of social media of each students. In other to measure social media platforms a questionnaire was developed based on past literatures. The independent variables includes: time appropriateness, time duration, Nature of Usage and type of social networking, while the dependent variable is student CGPA. The sample of 130 students from Department of computer science was selected using convenient sampling method. The data collected was analyzed using description means python programming. Thus considering the abnormal use of Social networking platforms by students, it is expedient that Ahmadu Bello University educate their students to positively use these platforms for educational purposes which will eventually result in a positive impact on their academic performance.