People Online Research Articles

From Viral Content to Real-Life Cuisine and Beyond: Examining Teenagers' Interactions with TikTok Food Videos and the Influence on their Food Practices

TikTok has gained immense popularity among teenagers, offering access to numerous user-generated content. Notably, food videos have emerged as a prominent theme on this short-form video social platform. The casual and enjoyable nature of short food videos on TikTok belies their potential influence on one of teenagers' most immediate and regular health practices--eating. Understanding how teenagers interact with these videos, their subsequent actions, and the resulting impact on their food practices and eating habits have the potential to provide insight into their broader lifestyle choices and their interactions within their social circles, including parents, friends, and other people online. By examining how teenagers use TikTok food videos online and offline, we gain a deeper understanding of the intricate relationship between social media, teenage lifestyle, and social dynamics surrounding food practices. In this research, we conducted 15 semi-structured interviews with teenagers aged 13 to 19, investigating their consumption of TikTok food videos and the actions inspired by them. By examining the multifaceted influence of TikTok food videos from a temporal perspective, this study contributes to the reflections of teens' use of TikTok food videos and their inspired food practices in the short and long term, online and offline. We propose design and theoretical implications to support teenagers' health. These insights have the potential to extend to various contexts, helping educators, policymakers, and designers in fostering healthy lifestyles among teenagers.

Digital sexual literacy: the potential for online spaces to support sexual literacy among young people

IntroductionHealth literacy is defined as the capacity, resources and insight to seek information, ask critical questions and be an advocate for one’s health. Sexual literacy is framed in similar terms, relating to the capacity to navigate emotionally and physically safe sexual encounters and to hold a critical and assertive stance on relationship dynamics, gender and consent. In this paper, we present findings from a qualitative study that explored how young people’s use of the internet develops sexual literacy.MethodsIn-depth interviews were conducted with 22 young people (aged 18–25). Interviews explored the ways in which young people participate in online spaces to learn about sex, relationships, bodies and other aspects of sexual health. Data were analysed using qualitative, inductive thematic coding techniques.ResultsYoung people described learning about sexual health online as a process of exploring ideas, topics or experiences (going down ‘rabbit holes’). It was rarely the case that young people searched for specific information. Young people described engaging with multiple sources of content and multiple people online to learn about relationships or sex. This was often personal. Young people wanted to understand their own experiences and hear stories from people with similar experiences. Engaging with multiple sources, stories and people enabled critical reflection and peer-based learning.DiscussionBuilding sexual health literacy is not simply about providing young people with sexual health information. Rather, it is about supporting young people to develop critical insight and capacity to reflect deeply on experiences and issues that affect their sexual relationships. The online environment supports sexual literacy as it enables critical inquiry, access to multiple perspectives, peer connection and personal reflection.

Humans Versus Machines: A Deepfake Detection Faceoff

ABSTRACTMachine learning (ML) models for deepfake detection are important for countering the threat of such videos. However, human detection is also critical because automated approaches may not always be available to people online. This study compares ML models versus humans for deepfake detection. Results surprisingly showed that humans performed better. Implications of our work are discussed.

Participation of Citizen as Social Capital in LAPOR! Application in Indonesia

Citizen engagement is crucial for the success of smart cities. In urban areas, communities as social capital has an interpersonal bond that unites people. Due to the complexity of urban issues like pollution, waste, and population density, citizens can monitor the government's work priorities to solve the problem. This article focuses on smart cities from a human-centered perspective, emphasizing the role of information technology. In Indonesia, citizens' rights awareness is facilitated by the National Public Service Complaint Management System (SP4N) or People's Aspiration and Online Complaints Service (LAPOR!), which acts as social capital. This article explores five key aspects of smart cities and smart citizenship: governance, citizen participation, infrastructure, public spaces, and urban livability. While ICT-driven approaches can swiftly transform cities, a community-based approach fosters long-term shifts. Meanwhile, limited citizen involvement contributes to ecosystem degradation in Indonesia and underscores the urgency and importance of citizen engagement in urban planning. In democratic societies, citizens hold power, and concepts of smart citizenship encompass civic intelligence and, at the same time, also value local knowledge. In Indonesia, LAPOR! reflects smart citizenship, enabling transparent reporting of aspirations and complaints. However, factors like limited access and education of citizens affect its use. This research used qualitative methods with content analysis methods. Qualitative content analysis is used to examine the textual content of websites. Using LAPOR! SP4N in Indonesia to see the implementation of the concept of smart society and smart city. Participatory processes should contribute substantially to urban planning and governance. Information technology serves as a temporary solution for long-term urban planning issues. Broader concerns like public policy and participatory democracy must also be considered. In conclusion, this article explores the dynamic relationship between smart cities and smart citizenship, highlighting the importance of active citizen engagement and the potential of technology to empower communities for positive urban transformations.

Influence of Tiktok video content on youth people's online shopping intention for fashion items

This study delves into the influence of TikTok video content factors - Entertainment, Information, Usefulness, and Interaction - on the online purchase intention of fashion items among young consumers. Drawing upon the Integrated Theory of Planned Behavior, ABC model (Attitude, Behavior, Context), and Mobile Technology Acceptance Model framework, the research examines how these factors shape consumer behavior on popular social media platforms. A quantitative approach was employed, utilizing survey data collected from 620 young respondents in Vietnam. The findings reveal that Entertainment, Information, Usefulness, and Interaction significantly impact online purchase intention, with Usefulness and Interaction emerging as the primary drivers. However, the study also acknowledges several limitations, including sample size constraints and potential biases inherent in self-reported data. Future research directions include longitudinal studies to explore the dynamic nature of consumer behavior on TikTok and comparative studies across different demographic groups to enhance generalizability. This study contributes valuable insights for marketers and advertisers seeking to leverage TikTok as a platform for engaging young consumers and driving online purchase behavior in the fashion industry.

The Influence of Digital Literacy and Information Technology on the Use of SP4N LAPOR!

The National Public Service Complaint Management System - People's Online Aspiration and Complaint Service (SP4N-LAPOR) is integral to Indonesia's governance framework, facilitating citizen participation and grievance redressal. This study examines the dynamics of citizen engagement through SP4N-LAPOR in 2023, revealing a significant 30% increase in complaints totaling 176,853, primarily directed at Ministries/Institutions rather than Regional Governments, highlighting uneven awareness and utilization at the local level. The research focuses on East Kotawaringin Regency, Central Kalimantan Province, assessing the impact of digital literacy and community information technology use on SP4N-LAPOR adoption. Utilizing random sampling and multiple linear regression analysis, findings indicate substantial influences: digital literacy (X1) significantly affects engagement (t = 2.039, p < 0.05), as does community information technology use (X2) (t = 9.512, p < 0.001), jointly explaining 49.7% of SP4N-LAPOR usage variance. This underscores the imperative to enhance digital literacy and promote IT accessibility to bolster public interaction with SP4N-LAPOR, offering actionable insights for policy and practice to improve governance responsiveness nationwide.

Analysis of the Effectiveness of Based Public Services Information and Communication Technology (ICT)

This research is entitled: Analysis of the Effectiveness of Public Services Based on Information and Communication Technology (ICT): Study of the National Public Service Complaint Management System for People's Online Aspiration and Complaint Services (SP4N LAPOR) at the Communication and Information Service of the Riau Islands Province. The aim of the research is to determine the effectiveness of public services that utilize information and communication technology (ICT) with the SP4N LAPOR Application service at the Riau Islands Province Communication and Informatics Service (Diskominfo). The SP4N LAPOR Application is an application that can be used for category purposes. reporting in the form of aspirations and appreciation, as well as requests for public information and complaints and reports in the reporting completion category. and one of the government's efforts to provide high-quality public services for the community. In measuring the level of program effectiveness, researchers used Champbel theory (in Mutiarin and Arif, 2014). Also this research is descriptive in nature by applying qualitative methods. Informants were determined by applying purposive sampling techniques. In data collection, research instruments were used, including field observations and interviews with several informants. Then documentation studies are used for the documents in the research. Meanwhile, data analysis techniques are carried out through data reduction, displaying data and drawing conclusions on research that has been carried out. In the research results, it was found that the effectiveness of ICT- based public services with the SP4N LAPOR application in the Riau Islands Province Communication and Information Service (Diskominfo) was running quite effectively, although there were a number of obstacles, including limited reliability human resources in the field of information technology and obstacles. others in the form of the Riau Islands Provincial Government, especially Diskominfo, do not yet have an Information and Communication Technology (ICT) master plan and an Electronic Based Service System (SPBE) architecture.

Analysis of values reflected in "People's Daily Online" from 2020 to 2022

In this study, the object is the official website "People's Daily Online," and the subject is the values represented in the materials published on this site from 2020 to 2022. When examining the values in "People's Daily Online," we identify the following key values from contemporary Chinese values: "patriotism" and "collectivism," which prioritize the interests of the state and the collective; the spirit of "selfless service"; "friendliness" as a combination of "respect, tolerance, accommodation, care, and mutual assistance"; "diligence and frugality" as family values; professional values based on "devotion to work" and aligned with the demands of the times (in this study, we use the term "people pursuing their dreams," proposed by President Xi Jinping, to denote professional values). Ideas that contradict these core values include "selfishness," "malice," "laziness," "greed," etc. The study of values and value conflicts in "People's Daily Online" (2020-2022) involved collecting and classifying materials, identifying keywords using Anaconda, conducting a quantitative analysis of term frequency and co-occurrence, as well as a qualitative analysis of articles to determine their value orientations. The scientific novelty of this study lies in a comprehensive analysis of values reflected in leading Chinese media, using the example of "People's Daily Online" from 2020 to 2022. The research holds significant political and social importance as it contributes to a deeper understanding of the value orientations of the Chinese government and its information dissemination strategies. It reveals the mechanisms through which media shape public opinion and social identity. From an academic perspective, the study enriches media and communication theory, especially in the context of its application outside the North American environment. An international perspective can serve as a guide for other countries, helping them better understand and effectively address the challenges of information dissemination and value competition in the era of globalization. The findings of the study show that "People's Daily Online" actively fulfills the role of a leading media outlet in shaping a favorable ideological atmosphere within a socialist framework.

Trauma in Publishing

We live in an extraordinary time in human history. Arguably, the most significant social changes have taken place in recent decades, including changes in policy and attitudes towards human rights, how we educate and treat children, towards sexual violence and abuse, sexuality and gender identification, to name just a few. In Australia, we have witnessed public responses through Royal Commissions and other public inquiries that have given voice to generations of people whose suffering had been silenced by formal and informal social mechanisms. Now, in the twenty-first century, the proliferation of new technologies, social media and social campaigns designed to engage people online as well as offline have empowered citizens to take control of their narratives, to tell their own stories. In the published literature, a great many have begun to reveal the nature and extent of traumas experienced by individuals, families, groups and entire communities. In the publishing industry, scant attention is given to the occupational risks faced by the workforce charged with disseminating these trauma stories: the editors, literary agents, proofreaders, publicists and other publishing personnel who are repeatedly exposed to trauma narratives. Even as publishing facilitates healing through story, it is also perpetuating—or at the very least enabling—the transmission of trauma: from author to publishing personnel, and quite possibly also from industry to reader. This paper posits that publishing as an industry is awash with trauma. Through the perspective of an industry insider, it explores the three faces of trauma in the publishing context: recounting trauma as a vehicle for healing and reconciliation, the trauma narrative as a commodity and vicarious trauma as an occupational hazard.

Klasifikasi Cyberbullying pada Komentar Instagram dengan Menggunakan Supervised Learning

Cyberbullying is an action related to the use of digital technology to intentionally hurt, humiliate or bully other people online. This research focuses on the classification of cyberbullying comments on social media, especially Instagram comments, where many parties who then become a group of people who don't like something will come together to provide negative opinions and comments, which can cause lowered self-confidence and other bad impacts for other users and account owner. Therefore, a classification of Instagram comments regarding cyberbullying was carried out as an effort to prevent this action. The data used in this research is 2000 data, where this data will go through various processes so that it can be executed. In this research, the Naïve Bayes method was used by dividing two classes, namely Bully and Not Bully. Based on the results of the tests that have been carried out, the results obtained are an accuracy value of 84%, a precision value of 84%, a recall of 84%, and an f1-score of 84%.

Social Media Use Training for Adults with Intellectual Disabilities: A Pilot Study

Social Media Use Training for Adults with Intellectual Disabilities: A Pilot Study

Reports on sexual violence published in an online Chinese newspaper: A new frame research.

The leading role of the media is very important in the new media era to build the reporting system and framework of sexual violence crimes, guide people's awareness and public opinion, and improve society's vigilance on sexual crimes. This study took People's Daily Online, a representative online media in China, as a research object to analyse the reporting of sexual crimes over the past 15 years. We conducted relevant searches for specific keywords set in the Python crawler and used IBM SPSS Statistics 19 software to analyse the frequency of relevant content. The results of the research show that, firstly, there have been significant changes in the number of news stories about sexual crimes. Second, the majority of sexual crime news stories are from mainland China. Third, the focus of the news stories and people is relatively concentrated on the perpetrators. Fourth, the People's Daily Online's coverage of sexual crimes focuses on blaming the perpetrators. Fifth, sexual crimes show that the framework is more episodic. This paper examines changes in the coverage of sexual crimes in China and captures how the media cover socially relevant issues, providing important insights for future social health, psychological awareness and diversion, and media policy.

Pandemic Pivot: Unraveling the Digital Fashion Frontier on Shopee

During the COVID-19 pandemic, there has been a major shift in people's activities and behaviors, which are moving towards the digital world. This helps people in their daily lives, both as buyers and business people in various industries, including the fashion industry. The fashion industry itself is a sector of multinational companies that have a high-net-worth value, whose focus is mainly on designing, producing, and marketing clothes to the public. Online shopping digital platforms such as Shopee are one of the main choices for people in making shopping transactions today. The purpose of this study was to find out online consumer reviews, social media advertisement, and influencer endorsements can influence people's online purchase intention for fashion stores on the Shopee platform. The research used a non-probability sampling approach, specifically choosing the convenience sampling technique during the sample selection process. The number of samples used in the study was 130 respondents, and data collection was conducted by distributing questionnaires through Google Forms. The data analysis was conducted using the Structural Equation Modelling (SEM) program SmartPLS 4.0. The research shows that social media ads on Shopee in Jabodetabek significantly impact online purchase intentions. Influencer engagement also influences intentions positively, although not statistically significant. Online consumer reviews and purchase intention variables share similarities, both influenced by external factors. Businesses should tailor advertising strategies for optimal performance and leverage social media effectively to thrive in e-commerce.

Exploring occupational stress among employees in the financial industry – A perspective from developing economies in Addis Ababa, Ethiopia

The study aims in analyzing the role of workplace stressors on occupational stress levels. A descriptive and explanatory research design has been used. A mean scale as a measure of central tendency was used to explain the existing situation. Correlation and multiple regression have been implemented to measure the association of variables and the stress level prediction ability of the constructs. A random sampling technique was used in determining the sample size. Mainly primary data is collected through a structured questionnaire and distributed to people online through Google form. Occupational stresses have shown a strong and significant association with stress constructs. The cumulative prediction ability of the constructs is stronger on the occupational stress level of the organization. Social support and job control are inversely associated with occupational stress levels. However. role ambiguity and role overload have a direct relationship with the magnitude of occupational stress.

Stress Detection with Natural Language Processing Techniques from Social Media Articles

Abstract— Stress have significant effects on health and well-being. Therefore, NLP's ability to identify stress situations is critical to providing early intervention and support. NLP can extract meaningful clues from people's online communications and written texts; This makes it a powerful tool for detecting signs of stress. Identifying signs of stress early can help individuals improve their ability to cope with stress by providing appropriate support and guidance; NLP can automate this process. Considering these situations, this study tried to detect the stress states of the users using the Stress Detection from Social Media Articles dataset. Generative Pre-trained Transformer (GPT), Logistic Regression (LR) and Artificial Neural Network (ANN) methods were used for classification. Doc2vec method was used to convert texts into vector data. In the classification processes, the highest classification success was obtained from the ANN model with 80.34%. It is thought that this success can be increased with more data and different models.

Bidirectional LSTM-based Sentiment Analysis for Assamese Text

With the enhanced exploration of the new generation of the web, people are free to state their opinion on any particular topic like product, services, organization and even on other people online in different social media platform and thus an innumerous amount of user generated contents are being created each moment. Hence, the need for mining this information has become the priority of the researcher so that they can identify the user’s sentiments and guide other people in various fields. Sentiment analysis deals with analyzing the review, opinion, attitude and emotions of a person from a given set of text by categorizing those on the basis of polarity as positive, negative and neutral. In this paper, sentiment of the social media text in Assamese Language is being analyzed because most of the communication is done through regional language and as a researcher from this region it is utmost concern to mine this information. To analyze the sentiments from the manually prepared datasets, LSTM- deep learning algorithm is used and implemented it in Python environment and also overall performance is measured in terms of accuracy, precision, recall and f1-score.

EFFECT OF E-COMMERCE INNOVATION AND E-SERVICE QUALITY ON TOKOPEDIA CUSTOMER SATISFACTION AND LOYALTY IN SURABAYA

Recent developments have encouraged changes in people's shopping styles, from conventional to online. The online shopping style that society continues to adopt also influences the basis of people's decisions in determining which e-commerce to choose to fulfill people's online shopping activities. This research will analyze the influence of e-commerce innovation, e-service quality, customer satisfaction, and loyalty on Tokopedia customers in Surabaya. This research uses a quantitative approach with primary data in the form of a questionnaire, which is distributed and analyzed using the Structural Equation Modeling (SEM) method with the help of SmartPLS 4.0 software. The results of this research found that e-commerce innovation has a positive impact on customer satisfaction and customer loyalty. E-service quality has a positive impact on customer satisfaction but not a significant impact on customer loyalty. Customer satisfaction has a positive impact on customer loyalty. Customer satisfaction mediates the development of e-commerce innovation and e-service quality on customer loyalty. A thorough understanding of the factors that influence customer satisfaction is essential in gaining customer loyalty for e-commerce companies in Indonesia. Companies must be able to adapt the innovations and the quality of electronic services provided to the factors that influence customer satisfaction.

Online safety: Protecting young people from online abuse

The Online Safety Act is landmark legislation but the fight to keep young people safe online is not over. Richard Collard considers the provisions of the Act and looks how schools can protect young people online and spot the signs of online abuse

Caregiver-centred empowerment for families raising autistic children: A qualitative case study from Argentina.

Caregivers of children with developmental disabilities, including autism, often struggle to access services, information and resources in Argentina. Little is known about how caregivers can be empowered to support their children as they wish to in the Argentinian setting. We spoke with 32 people online to understand existing and potential practices of supporting caregivers. The people we spoke with included caregivers, health service providers, non-governmental organisations' representatives providing services or technical support, special education teachers and policy representatives. Participants said that poverty, and inequalities in accessing support, impact how caregivers can support their children. They mentioned examples that help caregivers feel empowered, such as peer support groups and caregiver training. Many caregivers spoke about how they became advocates for their children and how they developed initiatives such as advocacy campaigns and well-being support groups. Caregivers in Argentina may be empowered in various ways, and the following strategies can improve empowerment: strengthening collaboration between professionals and caregivers; focusing on caregiver mental health; and addressing the profound impact of poverty on the quality of life of families.

Determinan Perilaku Belanja Online di Kota Jambi

Online shopping is a trend that has spread throughout Indonesia, especially during Covid 19. This trend continues to grow today. As the capital of Jambi Province, Jambi City is an area that has the most complete internet facilities compared to other areas in Jambi Province. The availability of internet facilities and other suggestions means that online shopping in this area is quite large. This research aims to assess consumer behavior in online shopping in Jambi City; and Factors that influence online shopping in Jambi City. The analysis model used is descriptive analysis and binary logit regression model. The research results show that the average frequency of online shopping in Jambi City is 1-2 times a month. 40.2% of respondents visited 2 online sites. The e-commerce application that respondents use most for shopping is Shopee. Cheap and easy to get goods is the first reason to shop online. The more online shopping sites that are visited, the public's perception is that online shopping saves time and buying shoes/bags and accessories online are factors that have a positive and significant influence on people's online shopping in Jambi City.