Spread Of Information Research Articles

2024 Election Reflections: Political Ambition and Legal Defeat

The 2024 election in Indonesia faces significant challenges related to political ambitions and legal defeats, which have impacted the integrity and implementation of the election process. Political ambitions from candidates and political parties often lead to violations of election rules, including the spread of misleading information and manipulation of voting results. Legal defeats, such as violations of campaign rules and the inability of law enforcement to handle these cases, undermine public trust in the democratic system and law enforcement institutions. This article examines the impact of these legal defeats and provides recommendations for reforms in election regulations, increased law enforcement, transparency, and political education. Comprehensive reform efforts are needed to ensure fair elections and increase public trust in the democratic process in the future

When Childcare is Commodified: An Autoethnography of Urban Mothering in Yogyakarta, Indonesia

The research explores how motherhood constructs parenting spaces in urban contexts and, conversely, how urban spaces construct urban motherhood. This autoethnographic research uses Edward Soja’s concept of third space. The results of this study show that working mothers’ routines position them in terms of categorizing time, namely time for work and time for parenting, with a preference for parenting space outside the home. This practice simultaneously constructs temporal (time of care) and spatial (space of care) understandings for children and parents. Social media accelerates the spread of information about leisure centers, including the segmentation of care spaces. The creation of these new care spaces shows that the commodification of urban mothering is slowly shifting the role of care from the home to the public sphere. On the other hand, this domestication of the caring space can involve men in caring practices and change the stigma that caring is not only a woman’s role. Despite thearticulation of parenting as a lifestyle, the infrastructure of parenting spaces and playgrounds for children is still far from meeting the criteria of public space, as the majority are commodified, especially in the context of this research, Yogyakarta.

Research on maximizing real demand response based on link addition in social networks

The impact of social networks on real-life scenarios is intensifying with the diversification of the information they disseminate. Consequently, the interconnection between social networks and tangible networks is strengthening. Notably, we have observed that messages disseminated on social networks, particularly those soliciting aid, exert a significant influence on the underlying network structure. This study aims to investigate the role and importance of social networks in the information dissemination process, as well as to construct a linear threshold model tailored for the dissemination of emergency information across both real and social networks, leveraging conventional models of information spread. We have developed a model to increase the number of connection edges in social networks in order to enhance their worth. Additionally, we discovered that the objective function possesses submodular features and thus the created problem is NP-hard. As a result, we can use algorithms with approximative assurances of 1−e−1−θ′ to solve our problem and ensures the accuracy of the solution. We also analyze the complexity of the algorithm in solving this problem. Finally we validated our conclusions with three publicly available datasets and one real data set to analysis the results of the solution.

Carsharing adoption dynamics considering service type and area expansions with insights from a Montreal case study

Carsharing operators (CSOs) are adapting their service over time to meet changing demands and grow their market share. Service areas are enlarged and, in some cities, “dual-mode settings” evolve, incorporating free-floating carsharing (FFcs) as a new service alongside existing station-based carsharing (SBcs). This paper proposes a methodology to discuss adoption dynamics in such a context, specifically focusing on the impact of existing services and service extensions on the adoption of the new service. We propose a framework, comprising of two parts: a potential market assessment and an adoption model. The potential market assessment focuses on establishing the relationships between the local population, carsharing memberships and Points of Interest (POIs) within the given service area. The adoption model then describes the likelihood of consumers adopting the FFcs service. By combining these two models, the effects of service extensions can be assessed. We evaluate the framework using a nearly six year dataset from Communauto, Montreal. The first 35 months of data are set as training data, while the subsequent 33 months are used for validation of predictive performance. Results demonstrate that the proposed model accurately predicts adoption dynamics. Prior experience of SBcs and initial information spread are found to be key parameters for demand prediction determining early adoption peaks and, due to follower effects, also impact long-term demand. Additionally, we quantify the importance of covering residential areas and points of interests in the service area, highlighting the synergy effects of service area expansions.

Peran media sosial bagi advokat muda

In the utilization of social media, there are notable advantages and disadvantages associated with the dissemination of legal information. Unreliable online news platforms have the potential to propagate misinformation, posing harm to society. Nonetheless, legal practitioners can leverage social media as a conduit for dependable legal information by implementing strategic measures. The evolution of information and communication technology, particularly the internet, has transformed communication into a digital format. The ubiquity of smartphones allows for diverse forms of communication, including engagement through social media. Applications like TikTok, favored among the younger demographic, serve as tools for legal professionals to construct information networks and convey legal knowledge in innovative ways. It is crucial to bear in mind that social media can have adverse effects concerning the spread of inaccurate legal information. Advocates can mitigate this impact by utilizing reputable platforms, delivering pertinent information, and collaborating with fellow legal experts to generate informative and reliable content. In the execution of their responsibilities, advocates are obligated to uphold the integrity and esteem of the profession, exercise prudence and ethical conduct in using social media to cultivate a professional image, and disseminate precise and beneficial legal information.

Strategies and bottlenecks to tackle infodemic in public health: a scoping review.

The World Health Organization defines "infodemic" as the phenomenon of an uncontrolled spread of information in digital and physical environments during a disease outbreak, causing confusion and risk-taking behaviors that can harm health. The aim of this scoping review is to examine international evidence and identify strategies and bottlenecks to tackle health-related fake news. We performed a scoping review of the literature from 1 January 2018 to 26 January 2023 on PubMed, Web of Science, and Scopus electronic databases. We also performed a search of grey literature on institutional websites. The research question has been defined according to the PCC (population, concept, and context) mnemonic for constructing research questions in scoping reviews. The overall research in the scientific databases yielded a total of 5,516 records. After removing duplicates, and screening the titles, abstracts, and full texts, we included 21 articles from scientific literature. Moreover, 5 documents were retrieved from institutional websites. Based on their content, we decided to group recommendations and bottlenecks into five different and well-defined areas of intervention, which we called strategies: "foster proper communication through the collaboration between science and social media companies and users," "institutional and regulatory interventions," "check and debunking," "increase health literacy," and "surveillance and monitoring through new digital tools." The multidisciplinary creation of standardized toolkits that collect recommendations from the literature and institutions can provide a valid solution to limit the infodemic, increasing the health education of both citizens and health professionals, providing the knowledge to recognize fake news, as well as supporting the creation and validation of AI tools aimed at prebunking and debunking.

Anomalous behavior detection based on optimized graph embedding representation in social networks

Anomalous behaviors in social networks can lead to privacy leaks and the spread of false information. In this paper, we propose an anomalous behavior detection method based on optimized graph embedding representation. Specifically, the user behavior logs are first extracted into a social network user behavior temporal knowledge graph, based on which the graph embedding representation method is used to transform the network topology and temporal information in the user behavior knowledge graph into structural embedding vectors and temporal information embedding vectors, and the hybrid attention mechanism is used to merge the two types of vectors to obtain the final entity embedding to complete the prediction and complementation of the temporal knowledge graph of user behavior. We use graph neural networks, which use the temporal information of user behaviors as a time constraint and capture both user behavioral and semantic information. It converts the two parts of information into vectors for concatenation and linear transformation to obtain a comprehensive representation vector of the whole subgraph, as well as joint deep learning models to evaluate abnormal behavior. Finally, we perform experiments on the Yelp dataset to validate that our method achieves a 9.56% improvement in the F1-score.

Analysis of TikTok Utilization as a Reference Source for Students of UIN North Sumatra Library Science Study Program

In the context of the digital era, social media integration has become an integral aspect of daily routines, especially among university students, as part of their social and academic lives. This study investigates the utilization of TikTok as a reference source for Library Science students at UIN North Sumatra. The phenomenon of social media, especially TikTok, has taken center stage in daily life, especially among university students. However, in addition to its benefits, social media also brings negative impacts, including the risk of addiction and the spread of false information. Although TikTok offers educational content, the findings in this study show that not all students use it as a reference source. Some students may prefer other platforms or traditional methods to find academic references, such as books and scientific journals. This suggests that although TikTok has potential as a reference source, its use has not been fully adopted by the entire population of Library Science students. This research uses a qualitative approach by applying Miles and Huberman's theory as the basis for analysis in the process of collecting, reducing, presenting data, and drawing conclusions.

DISLPSI: A framework for source localization in signed social networks with structural balance

The theory of structural balance in signed networks plays an important role in information dissemination. Source localization is crucial for suppressing the spread of negative information, however, existing research on source localization has overlooked the theory of network structural balance. In this paper, we leverage the theory of structural balance in signed networks to develop a framework for source localization. This framework, called Direction Induced Search and Source Identification based Label Propagation (DISLPSI), consists of two main components: the Direction Induced Search (DIS) algorithm constructs a relaxed-induced search tree, and the Source Identification based Label Propagation (LPSI) algorithm validates the propagation source within the search tree. Meanwhile, in order to improve the proximity between the relaxed direction-induced search tree and the real propagation path, we propose the Adaptive Observation Node Selection (AONS) algorithm. Extensive simulation experiments demonstrate that the original LPSI algorithm performs very poorly in signed networks, proving that LPSI cannot be directly applied to signed networks. Conversely, the DISLPSI framework is effective in accurately localizing the source and robustness against the structural balance. Furthermore, the observer nodes selected by the AONS algorithm significantly enhance the source localization. We also find that the source localization framework is more advantageous in homogeneous networks than in heterogeneous networks.

Digital Media Usage Behavior and Its Impact on the Physician-Patient Relationship: Cross-Sectional Study Among Individuals Affected by Psoriasis in Germany.

Psoriasis is a chronic skin disorder with a high burden of disease. People affected with psoriasis increasingly use the internet for health-related reasons, especially those with younger age, higher education, and higher disease severity. Despite advantages such as enhancing the individuals' knowledge with the use of digital media for health-related issues, disadvantages were also present such as quality control, and variability in the individuals' health information literacy. While patients with psoriasis within medical settings generally trust physicians over digital media, they commonly withhold their web-based research findings from health care providers. The study aims to (1) identify further factors associated with regular psoriasis-related internet use, (2) rank specific digital media platforms used, and (3) examine digital media within the physician-patient relationship among individuals with and without dermatological treatment. A cross-sectional, questionnaire-based study was conducted among individuals with self-reported psoriasis in Germany between September 2021 and February 2022. Participants were recruited via digital media platforms and in person at a University Hospital Department of Dermatology in southern Germany. The questionnaire asked about demographic and medical information, individual psoriasis-related digital media use, and the impact of digital media on the physician-patient relationship. Data were analyzed descriptively, and logistic regression models were performed to assess the factors associated with regular psoriasis-related internet use. Among 321 individuals with a median age of 53 (IQR 41-61) years (nonnormally distributed; females: 195/321), female sex, shorter disease duration, moderate mental burden of disease, and good self-assessed psoriasis-related knowledge were associated with regular psoriasis-related internet use. Of the 188 participants with a mean age of 51.2 (SD 13.9) years (normally distributed) who used digital media 106 (56.4%) usually searched for information on psoriasis-based websites and 98 (52.1%) on search engines, primarily for obtaining information about the disease and therapy options, while social media were less frequently used (49/188, 26.1%). Nearly two-thirds of internet users (125/188) claimed that their physicians did not recommend digital media platforms. About 44% (82/188) of the individuals reported to seek for additional information due to the insufficient information provided by their physician. This study revealed the importance of digital media in the context of psoriasis, especially among women, individuals with shorter disease duration, and moderate mental disease severity. The lack of physicians' digital media recommendations despite their patients' desire to receive such and being more involved in health-related decisions seems to be a shortcoming within the physician-patient relationships. Physicians should guide their patients on digital media by recommending platforms with evidence-based information, thereby potentially creating an adequate framework for shared decision-making. Future research should focus on strategies to prevent the spread of false information on digital media and address the needs of patients and physicians to enhance health-related digital media offerings.

Tell me what to do first: how behavioural skills drive users’ intention to adopt online health information

PurposeTo gain a deeper understanding of users’ health information adoption and to promote the effectiveness of health information spread in the context of online limited information, this paper aims to examine how the information-motivation-behavioural (IMB) skills model can be used to organize online health information by experimenting how different IMB elements (information, motivation and behavioural skills) affect users’ intention to adopt health information.Design/methodology/approachThe authors conducted an experiment with 48 participants who received health articles with various combinations and sequences of IMB elements, analysing the impact on information adoption intention to share and practice. The authors also examined the mediation effect of information usefulness and the moderating effect of perceived health status.FindingsThe authors found that: users’ adoption intention of information was influenced by the order of used IMB elements, not the number of elements used; users were more likely to adopt information that started with behavioural skills rather than the model-prescribed IMB sequence; and perceived usefulness mediated the relationship between IMB elements and users’ adoption intention, which means users with different levels of health status all pay more attention to information usefulness and practicability.Originality/valueThe study contributes to research on health communication by showing how the IMB model can be applied online to enhance the effectiveness of health information dissemination. It can also help online health communities arrange more effective and engaging health messages to promote users’ willingness to adopt.

PENERAPAN PRINSIP DEMOKRASI DALAM SISTEM PEMILIHAN UMUM DI INDONESIA PERSPEKTIF FIQH SIYASAH

Since the reform era began in 1998 in Indonesia, political transformation has been significant. This period not only marked the end of the authoritarian government under President Soeharto, but also paved the way for changes in the political and constitutional system in Indonesia. This change not only changes the way of life of the people, but also changes the constitutional system of the Indonesian nation through amendments to the 1945 Constitution of the Republic of Indonesia. Article 1 paragraph (2) of the 1945 Constitution reads, "Sovereignty is in the hands of the people and is implemented according to the Constitution. In the Indonesian state administration there are also Islamic constitutional values, this can be seen by the concept of deliberation, equality and justice which is running as it should. This research aims to review the application of democratic principles in general elections and how Islamic state administration is reviewed (fiqh siyasah ) in the implementation of general elections in Indonesia. Through a normative juridical approach, this research analyzes the regulations governing the democracy and election system in Indonesia, including the 1945 Constitution and the Election Law. Research highlights the importance of implementing democratic principles such as popular sovereignty, equal rights, free and secret elections, and accountability and transparency in the electoral process. However, challenges such as money politics, identity politics and the spread of false information are still problems in the implementation of elections. This research suggests steps to improve the electoral system to ensure that democracy can function effectively and produce results that are more representative of the will of the people and that it is in accordance with Islamic constitutional principles (fiqh siyasah)

Modelling co-evolution of resource feedback and social network dynamics in human-environmental systems

Games with environmental feedback have become a crucial area of study across various scientific domains, modelling the dynamic interplay between human decisions and environmental changes, and highlighting the consequences of our choices on natural resources and biodiversity. In this work, we propose a co-evolutionary model for human-environment systems that incorporates the effects of knowledge feedback and social interaction on the sustainability of common pool resources (CPRs). The model represents consumers as agents who adjust their resource extraction based on the resource’s state. These agents are connected through social networks, where links symbolize either affinity or aversion among them. The interplay between social dynamics and resource dynamics is explored, with the system’s evolution analyzed across various network topologies and initial conditions. We find that knowledge feedback can independently sustain CPRs. However, the impact of social interactions on sustainability is dual-faceted: it can either support or impede sustainability, influenced by the network’s connectivity and heterogeneity. A notable finding is the identification of a critical network mean degree, beyond which a depletion/repletion transition parallels an absorbing/active state transition in social dynamics, i.e. individual agents and their connections are/are not prone to being frozen in their social states. Furthermore, the study examines the evolution of the social network, revealing the emergence of two polarized groups where agents within each community have the same affinity. Finally, we observe an inverse relationship between system complexity and sustainability. Comparative analyses using Monte–Carlo simulations and rate equations are employed, along with analytical arguments, to reinforce the study’s findings. The model successfully captures key aspects of the human-environment system, offering valuable insights to understand how both the spread of information and social dynamics may impact the sustainability of CPRs.

Detection of network false information based on artificial intelligence models

There is often some false information in social platforms to mislead public opinion. Due to the rapid development of the Internet, the spread of false information on the Internet has become easier, which has brought many losses to people's economy and life. In this paper, the relevant research on false information based on bidirectional convolutional networks is analyzed, and the method is divided into four stages: data preprocessing, model architecture, training process and prediction process. Then, the relevant research on rumor detection by propagation tree kernel model are analyzed. Finally, this paper delineates a comprehensive framework that amalgamates enhanced Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and a hybridized Black Widow Optimization (BWO) with Moth Optimization Algorithm (MOA) (referred to as HM-BWO) for the accurate detection of network-based false information. This paper analyzes and discusses the challenges of poor universality and insufficient detection speed encountered by the current rumor detection research and puts forward the idea of introducing migration model to solve the problem of poor universality and Spark to solve the problem of insufficient detection speed. This article provides a good overview of the field of online disinformation.

ANALYSIS OF DIGITAL CULTURAL BEHAVIOR IN GEN Z STUDENTS OF UINSU COMMUNICATION SCIENCE

This journal discusses that digital culture has a significant role in the daily life of Generation Z students of UINSU Communication Sciences. Positive experiences using communication technology include the ease of interacting and obtaining information, but there are also risks such as the spread of false information and negative content. It is important to understand the meaning of the use of digital cultural communication through framing theory and phenomenological approaches so that Generation Z can use technology responsibly and intelligently. This study discusses the analysis of digital cultural behavior in Generation Z of UINSU Communication Science students. This study uses a qualitative descriptive approach with an in-depth interview method. The results of the study show that the motives for using Generation Z's digital communication are varied, with positive and negative experiences. The use of digital technology allows them to connect with people remotely, but it also carries risks such as the spread of false information.

Development of website-based learning media on the material of kingdoms in Indonesia and regional heroes phase B

The development and advancement of technology has many positive and negative impacts and changes in various fields, especially in the field of education in Indonesia. This also raises new challenges from the many challenges that already exist. in the era of globalization now the spread of information is very fast, one of which is through internet websites, this must be utilized properly and maximally for the world of education, with many benefits expected to make it easier for students to receive information to add insight and enrichment of material, thus the media used for students to learn must also develop creatively and innovatively. The purpose of this research is to develop website-based learning media in phase B IPAS subjects.

Legal Analysis of the Consumer Protection Law in the Promotion of Alcohol with Ethnic and Religious Elements by Holywings on Instagram

Promotional efforts are crucial to a company's marketing strategy. However, Holywings' promotion offering free alcoholic beverages to individuals named Muhammad and Maria violates Law Number 1 of 2024 on electronic information and transactions, specifically Article 28, paragraph 2. This article prohibits spreading information that incites hatred or enmity based on ethnicity, religion, race, and inter-group distinctions (SARA). This research analyzes promotion regulations under this law and the responsibilities of businesses concerning promotions involving ethnic and religious elements, as outlined in Law Number 8 of 1999 on Consumer Protection. Using a normative juridical approach, this study examines literature, secondary data, and statutes to address the legal issues. The research employs qualitative analysis to systematically gather and analyze data, aiming to compile relevant theories, concepts, legal principles, and regulations. The result indicate that legal protection for consumers regarding promotions with ethnic and religious elements is upheld by Article 4, letter g of the Consumer Protection Law, ensuring fair, honest, and non-discriminatory treatment. Additionally, Article 17, Paragraph 1, Letter f prohibits business actors from engaging in such advertising, while Articles 19 and 20 outline their accountability.

The social force model: a behavioral modeling approach for information propagation during significant events

Information diffusion otherwise known as the propagation, spread or dissemination of information occurs when a piece of information flows from a particular individual/community to another in a social network. Studies related to information propagation involve problems regarding the factors that affect the information propagation, how the information is disseminated, the speed of propagation, etc. Researchers have proposed information propagation models to understand the phenomenon and to answer these questions. These models have been effectively used in applications such as behavior analysis, public health care, etc. Although several studies are carried out in this field, the literature demands identifying the most influential factors of propagation in real time in cases of sudden unexpected significant disasters/epidemics/pandemics, since the existing propagation models seem unfit during such circumstances. In this paper, a novel information propagation model which predicts the top propagators of information related to a particular context is proposed. This model utilizes the past few weeks' data during a sudden outbreak of a disaster and identifies the most influential attributes of a user profile to predict the top propagators of the future. The proposed Social Force Model is inspired by a model used in studying the fear propagation pattern in pedestrian dynamics in real-life situation [Cornes FE, Frank GA, Dorso CO. Fear propagation and the evacuation dynamics. Simul Model Pract Theory. 2019;95:112–133.]. We have effectively mapped the various forces which constitute the Social Force Model such as the Desired Force, the Social Force and the Granular Force with respect to the online social network context in order to discover the key spreaders of information during a specific context. Apart from identifying the propagators, the proposed model discovers the key attributes by analyzing the behavior of users based on their past activities in the online social network.

Digital Literacy In Detecting Hoaxes In Instagram Media (Analysis Study Of Communication Science Students, State Islamic University Of North Sumatra)

Abstract This article explores the urgency of digital literacy in detecting hoaxes on social media, especially Instagram, among students of Communication Sciences of the State Islamic University of North Sumatra (UINSU). This research identifies crucial problems in the spread of false information or hoaxes that have the potential to divide society and damage information integrity. This study uses a qualitative methodology, this research adopts an ethnographic approach and a constructive paradigm to gain a deep understanding of how students perceive and respond to the information they find on social media. The location of this study is Campus 4 Tuntungan UINSU, and the resource persons were selected through purposive sampling based on their experience and activeness in using Instagram as well as their involvement in digital literacy issues. Primary data sources are obtained from in-depth interviews and participatory observations, while secondary data sources include relevant document studies. The data analysis technique used is the Miles, Huberman, and Saldana analytical model which includes data reduction, data presentation, and conclusion drawn. The validity test of the data was carried out through source triangulation. The results of the study show that even though students have access to digital literacy tools, there is still a tendency to trust and spread unverified content. The conclusion of the study emphasizes that digital literacy is not only important as a tool to verify information and avoid the spread of hoaxes, but also as a means to increase critical awareness of media content.

Profiles of physical education teachers: an analysis on social networks

The present study aimed to observe, analyze and correlate online materials, from profiles on the social network Instagram, which showed different patterns of Physical Education teachers and their influences. For this, the investigated of this study were two users who have profiles focused on the practice of Physical Education, and had their profiles observed, with investigation of the netnographic type, and later separated into post-determined categories. With the result we observed how the two distinct profiles attribute distinct meaning to health. From this analysis, one can observe and conclude that social networks have great influence on the body pattern that is stipulated by society, since Instagram is a great ally in the spread of information.