Captured Moments

This research is intended to find a biblical study between past hoax news and the dangers of hoax news in today's social media. This study uses a qualitative writing method by using exsegesa study of the Bible as the basis of essential truth, supported by various sources related to the existing discussion topics. In the discussion, it turns out that there is a similarity between fairy tales and myths and human laws, which are contained in Surah Titus 1: 13-14 and 1Tim 4: 7, which are fake news made by a person to achieve certain goals, including damaging personal relationships with neighbor, but also destroy the faith and belief in God. In today's media it seems the same, that hoax is someone's trick or slander, lies that are packaged as if they are true, but the truth is lies. In this journal a solution has been found that, hoax news must be stopped because it is detrimental to others and there is no positive value that can be taken. First, hold true teaching that lying is a sin and harms others. Second, be selective in choosing the right news by looking for reliable sources.

In today's social media era, various groups utilize social media for various purposes because it has many benefits. In everyday life, social media is useful as a socialization tool, a source of information, a source of entertainment, a place to channel hobbies, even as an online business platform and promotion. This study aims to measure the sales growth of Atmosphere Beauty products, an MSME in Bukit Tinggi City, West Sumatra, based on content posted on Atmosphere Beauty's TikTok social media. The research method used is a qualitative method by collecting primary and secondary data through interviews, documentation, and observation. In this study, the authors managed to find that the content produced on the TikTok @atmosphere.beauty account refers to three of the four aspects of marketing content, namely education, inspiration, and conversion. The results show that although sales at TikTok Shop are on the rise, Atmosphere Beauty's MSE sales are less than optimal because their TikTok account is less active. The account is only active on Instagram, where they directly include Shopee links for product sales, so Atmosphere Beauty's followers directly access Shopee without going through TikTok Shop.

Neo-Gnosticism and the American Dissident Right

The impact of blogs and microblogging on the consumption of news is dramatic, as every day users rely more on these sources to decide what content to pay attention to. In this work, we empirically and theoretically analyze the dynamics of bloggers serving as intermediaries between the mass media and the general public. Our first contribution is to precisely describe the receiving and posting behaviors of today's social media users. For the first time, we study jointly the volume and popularity of URLs received and shared by users. We show that social media platforms exhibit a natural ``content curation'' process. Users and bloggers in particular obey two filtering laws : (1) a user who receives less content typically receives more popular content, and (2) a blogger who is less active typically posts disproportionately popular items. Our observations are remarkably consistent across 11 social media data sets. We find evidence of a variety of posting strategies, which motivates our second contribution: a theoretical understanding of the consequences of strategic posting on the stability of social media, and its ability to satisfy the interests of a diverse audience. We introduce a ``blog-positioning game'' and show that it can lead to ``efficient'' equilibria, in which users generally receive the content they are interested in. Interestingly, this model predicts that if users are overly ``picky'' when choosing who to follow, no pure strategy equilibria exists for the bloggers, and thus the game never converges. However, a bit of leniency by the readers in choosing which bloggers to follow is enough to guarantee convergence.

Driven by the need to enhance user traffic on social media (SM) platforms for increasing their advertising revenues, SM platforms are experimenting with new content creation features. However, it is unclear if such initiatives are also beneficial for SM profile owners such as influencers, who are the prime content creators on the SM platforms who use SM posts to build their influence within their network of followers. Our study investigates the effect of introducing one such new SM feature: the “story” on the creation and consumption of SM posts. Leveraging social penetration theory, we hypothesize the influence of introducing story feature on (1) the frequency of SM post creation by profile owners and (2) the extent of follower engagement with SM posts. Employing a quasi-experimental design, we find that the introduction of the story feature reduces the frequency of SM post creation, but the enhanced self-disclosure through the story feature increases follower engagement with the SM posts. However, these effects are moderated by the situating culture of the SM communities: while low-power-distance cultures value profile owners’ self-disclosure, high-power-distance cultures exhibit a mixed influence. Advancing literature on social penetration theory and SM user engagement, our study demonstrates that new self-disclosive SM content creation features do not necessarily benefit all the concerned stakeholders and that the effectiveness of such features might vary from one community to another. Hence, the intended impact of introducing new SM features needs to be carefully evaluated by SM platforms in a holistic manner.

This chapter examines the phenomenon of internet users attempting to report and prevent online child sexual exploitation (CSE) and child sexual abuse material (CSAM) in the absence of adequate intervention by internet service providers, social media platforms, and government. The chapter discusses the history of online CSE, focusing on regulatory stances over time in which online risks to children have been cast as natural and inevitable by the hegemony of a “cyberlibertarian” ideology. We illustrate the success of this ideology, as well as its profound contradictions and ethical failures, by presenting key examples in which internet users have taken decisive action to prevent online CSE and promote the removal of CSAM. Rejecting simplistic characterizations of “vigilante justice,” we argue instead that the fact that often young internet users report feeling forced to act against online CSE and CSAM undercuts libertarian claims that internet regulation is impossible, unworkable, and unwanted. Recent shifts toward a more progressive ethos of online harm minimization are promising; however, this ethos risks offering a new legitimizing ideology for online business models that will continue to put children at risk of abuse and exploitation. In conclusion, we suggest ways forward toward an internet built in the interests of children, rather than profit.

As a result of the ease with which the internet and cell phones can be accessed, online social networks (OSN) and social media have seen a significant increase in popularity in recent years. Security and privacy, on the other hand, are the key concerns in online social networks and other social media platforms. On the other hand, cyberbullying (CB) is a serious problem that needs to be addressed on social media platforms. Known as cyberbullying (CB), it is defined as a repetitive, purposeful, and aggressive reaction performed by individuals through the use of information and communication technology (ICT) platforms such as social media platforms, the internet, and cell phones. It is made up of hate messages that are sent by e-mail, chat rooms, and social media platforms, which are accessed through computers and mobile phones. The detection and categorization of CB using deep learning (DL) models in social networks are, therefore, crucial in order to combat this trend. Feature subset selection with deep learning-based CB detection and categorization (FSSDL-CBDC) is a novel approach for social networks that combines deep learning with feature subset selection. The suggested FSSDL-CBDC technique consists of a number of phases, including preprocessing, feature selection, and classification, among others. Additionally, a binary coyote optimization (BCO)-based feature subset selection (BCO-FSS) technique is employed to select a subset of features that will increase classification performance by using the BCO algorithm. Additionally, the salp swarm algorithm (SSA) is used in conjunction with a deep belief network (DBN), which is known to as the SSA-DBN model, to detect and characterize cyberbullying in social media networks and other online environments. The development of the BCO-FSS and SSA-DBN models for the detection and classification of cyberbullying highlights the originality of the research. A large number of simulations were carried out to illustrate the superior classification performance of the proposed FSSDL-CBDC technique. The SSA-DBN model has exhibited superior accuracy to the other algorithms, with a 99.983 % accuracy rate. Overall, the experimental results revealed that the FSSDL-CBDC technique beats the other strategies in a number of different aspects.

The rapid development of the Internet and new social media also happened quickly. In a short period, new media has grown from nothingness to a powerful position. Today's social media is no longer a simple communication platform. However, there are many trends. Social media is a favorite of many brands in a business environment and functions as a marketing channel. Social media has a significant impact on brands in this new relationship. In the ever-changing new media landscape, brands need a piece of the pie. This article takes how to enhance brand influence in the new media era as the research object. By analyzing the characteristics of new media, we get the possibility of enhancing brand influence. At the same time, we fully recognize the principle of enhancing brand influence in new media. By putting forward directional opinions, we strive to maximize the promotion of brand influence

Navigating Social Media in #Ophthalmology

While hospitals’ health promotion via social media has the potential to be a critical source of health information, research shows racial and ethnic disparities exist in health-related knowledge that may be, in part, related to media representation. The purpose of this study is to examine the racial and ethnic representation of people featured in Washington, D.C. hospitals’ social media platforms to understand how hospitals embed cultural competency into their health communication. By comparing the diversity of images on hospitals’ social media platforms with the demographics of hospitals’ neighboring communities, the researchers intend to highlight opportunities to improve targeted health messaging to underserved communities, particularly Black and Hispanic communities. By analyzing the images and videos posted on the three most popular social media platforms – Facebook, Twitter, and YouTube – for a one-month period, the researchers found that Whites and Asians were over-represented while Hispanics were severely under-represented in hospitals’ social media representation as compared to the community demographics. Increasing the diversity of minority representation on hospitals’ social media-based health promotion may contribute to addressing the social disparities in healthcare.

In today's social media, especially Twitter is very important for the success and destruction of one's image due to the many sentences of opinion that can compete the users. Examples of phrases that mean evil refer to hate speech to others. Evil perspectives can be categorized in hate speech, which hate speech is regulated in Article 28 of the ITE Law. Not a few people who intentionally and unintentionally oppose a social media that contains hate speech. Unfortunately social media does not have the ability to aggregate information about an existing conversation into a conclusion. One way to draw conclusion from aggregation results is to use text mining. In this paper to classify whether the text in the sentence contains elements of hate speech or not. The author hopes in this paper can make how to classify element of hate speech in text by computer, which later speech of the can be recognized. By using Multinomial Logistic Regression method. The author hopes after this application the computer can know and classify the existence of hate speech on a text from social media Twitter. From the results of tests that have been done the average precision of 80.02, recall 82%, and accuracy of 87.68%.

Self-presentation, the process by which people disclose information about themselves to others, is fundamental to online interaction and research on communication technology. Technology often mediates the self-presentation process by obscuring who is in the audience via constrained cues and opaque feed algorithms that govern the visibility of social media content. This can make it risky to disclose sensitive or potentially stigmatizing information about oneself, because it could fall into the wrong hands or be seen by an unsupportive audience. Still, there are times when it is socially beneficial to disclose sensitive information, such as LGBTQ+ (lesbian, gay, bisexual, transgender, queer, and others) people expressing their identities or disclosing HIV status. Decisions about sensitive disclosure, moreover, can be even more complicated in today's social media landscape with many platforms and audiences in play, particularly for younger users who often use many platforms. We lack a good understanding, however, of how people make these decisions. This article addresses questions about sensitive disclosure on social media through a survey study of adolescent men who have sex with men and their willingness to disclose on social media the use of pre-exposure prophylaxis (PrEP), an HIV prevention medication. Results suggest that perceived platform audience composition and platform features such as ephemerality play into disclosure decisions, as well as the perceived normativity of PrEP use among peers.

The paper sets out to evaluate the effects that social media marketing (SMM) can have on the success and eventual sustainability of the small businesses sampled. Other specific objectives were to assess the level at which businesses adopt the usage of social media and identify the most prominent of all available social media platforms that the companies utilise. The quantitative survey method was employed to collect data from 200 employees of small-sized businesses in Oshogbo, Osun State, Nigeria. The collected data was analysed using both descriptive (percentages, mean, standard deviation etc.) and inferential (ANOVA and regression analysis) statistics with the assistance of SPSS v22. With regards to the take up of social media for marketing purposes, almost all the questionnaire items indicated a high level of SMM adoption for the businesses, to the extent that it was actively used, resources were allocated, contents were frequently posted, metrics were tracked, and they reportedly had dedicated teams to engage with the social media platforms. In terms of the types of Social Media (SM) platforms, the businesses have prominence for marketing; Instagram recorded the highest, and in descending order, followed by YouTube, Facebook, Twitter, TikTok, WhatsApp, and LinkedIn. The results on the effects of SMM on the sustainability of the businesses indicated a strong correlation between the two variables. Firstly, the model was well fitted to the data, significant at F, 28.075; p ≤ .01; and Adjusted R2 = .611, implying that the predictor variable explained 61.1% of the variance in the dependent variable, even after the model was adjusted for errors. When some of the items representing the Independent Variables were disaggregated, the following constructs were very important in explaining the businesses' success with SMM adoption in descending order of importance: allocation of resources, tracking of social media metrics, having a team dedicated to monitoring the platforms, and making social media a priority for their businesses. The remaining factors were insignificant. The study concluded that Social Media Marketing (SMM) significantly impact the sustenance of small businesses if adequately managed and resourced, and for 21st-century businesses, digital marketing and online presence afford the businesses the opportunity to interact with the consumers of their products and services for future lasting engagement and potential benefits that could eventually impact the bottom line positively.

Since the covid-19 pandemic in 2020, many businesses have relied on social media to stay abreast with the latest news, developments and to predict the future world of business. Many countries around the world instigated lockdown restrictions to curb the spread of the covid-19 virus, and social media platforms were very popular tools used for spreading the news. The proliferation of social media has also increasingly drawn the attention of Small and Medium Enterprises (SMEs) in South Africa to improve their efforts of sustaining their businesses. Social media platforms have become popular in the business environments for their ability to increase market reach, transfer knowledge, and sustain the business. While many benefits of social media to enhance business performance have been studied, there are also skeptics on data privacy issues that social medial brings to the business. In the SME sectors in South Africa, social media are adopted due to their cost effectiveness and ease of use. However, little is known about the effect of data privacy issues on SME business performance. The literature of social media adoption indicates that the older generation of SME owners are skeptical about sharing their confidential business insight on social media platforms. This is despite the availability of many other literature studies that report on the increase of social media studies to enhance business sustainability. This study aims to produce knowledge for understanding the key motivations of SMEs to adopting social media despite the existence of data privacy issues on social media. Qualitative interviews were conducted with 13 SME entrepreneurs who were purposively selected based on their knowledge of social media, experience of its application in the business, industries and premises of the SME business in South Africa. The results of the interviews indicated that SMEs are generally aware of the data privacy issues surrounding the use of social media, and the adoption rate differs from younger and older generation of SME entrepreneurs.

Objective: Mobile phone use while driving is a major cause of distraction and area for concern. Numerous factors have been shown to be associated with engagement in mobile phone use while driving, including peer influences and social media content encouraging the behavior. Phone detection cameras are being increasingly utilized to enforce the hand-held mobile phone use while driving ban in Australia, yet this has been accompanied by an emergence of camera location pages on social media platforms such as Facebook. Research is clearly needed to explore the nature and extent of this online content, since such information can be used to counteract any negative effects on enforcement. Methods: Accordingly, this exploratory study analyzed content on Facebook pertaining to mobile phone use while driving, enforcement of the behavior and legal penalties associated with the behavior. Results: A total of 167 public Facebook posts shared within Australia in January to October 2021 were examined. Overall, it was found that: (a) a large proportion (74%) of posts focused on the location of mobile phone cameras, (b) whilst most discussions centered around discouraging mobile phone use while driving, a large number also aimed to facilitate avoiding detection for the behavior. Finally, very few posts/comments acknowledged the risks associated with the behavior, including the risk of being caught. Conclusions: This research provides preliminary evidence that social media platforms appear to provide an avenue to reduce the likelihood of apprehension. Avenues for future research are discussed.