Popular Social Media Networks Research Articles

The diffusion of malicious content on Twitter and its impact on security

While Twitter remains one of the most popular social media networks within the information security community, threat actors continue to abuse the platform to create, share, and spread malicious contents. In this study, we focus on whether Twitter- and vulnerability-related features can help predict vulnerabilities known to be actively exploited. Using a sample of 6004 tweets, results show that Twitter features (tweets and quote tweets) that combine the benefits of both content creation and sharing can predict active exploitation of vulnerabilities. Furthermore, findings show that certain technical and vulnerability-related features are also capable of predicting active exploitations.

PERIKLANAN PRODUK TEMPATAN DI FACEBOOK: KAJIAN KES PRODUK SOBELLA

Facebook is a social media network site that was introduced by a student at Harvard University in 2004, Mark Zuckerberg. In 2020, Facebook is still at the top of the list of the most popular social media networks in Malaysia, which is 91.7% of all Internet users in Malaysia. Facebook actually experienced a decrease in users this year from 2018. Despite experiencing a slight decrease in Internet users of Facebook since previous years, Facebook is still seen as an active social media platform in Malaysia. Facebook is the best social media for friends and acquaintances no matter old or new acquaintances. In addition, Facebook can deliver a wide area reach and a high frequency of sending messages to the target segment at a low cost. Because of these characteristics, that advertisers expand their social networks and are also the choice to market and deliver messages about their products. This paper will discuss the research conducted on the advertising of Sobella Cosmetics products on Facebook by looking in terms of information search, entertainment, social interaction and brand awareness. The research method used is quantitative, which is by distributing questionnaires online to respondents among Sobella product users to obtain information. The results of the study found that the majority of respondents agreed that Sobella ads on Facebook can provide information that helps them, in addition the ads also contain entertainment features, allowing them to socialize and interact with each other also with the founder of Sobella and last but not least increase their awareness of the Sobella brand.

The Comprehensive Alcohol Advertising Ban in Lithuania: A Case Study of Social Media.

Alcohol advertising exposure is a risk factor for earlier alcohol initiation and higher alcohol consumption. Furthermore, engagement in digital alcohol marketing, such as liking or sharing an ad on social media, is associated with increased alcohol consumption and binge or hazardous drinking behavior. In light of these challenges, Lithuania has enacted a total prohibition on alcohol advertising, including social media. This study monitored the two most popular social media networks, Facebook and Instagram, to determine compliance with current legislation. In total, 64 Facebook and 51 Instagram profiles were examined. During the 60-day study period, 1442 and 749 posts on the selected Facebook and Instagram profiles, respectively, were published. There were a total of 163 distinct social media alcohol-related posts. Alcohol-related posts accounted for 5.9 percent of total Instagram posts and 8.3 percent of total Facebook posts. Alcohol advertisements accounted for 1.4 percent of all posts (infringement of the Alcohol Control Law). Influencers were responsible for nearly half (45.5 percent) of all observed alcohol-related Instagram posts. The study demonstrates high compliance with Lithuania’s total alcohol advertising ban on social media and emphasizes the importance of adequately monitoring the growing prominence of influencers on social media.

Evaluation of science communication on social media

Worldwide social media platforms are used for communication purposes apart from entertainment. One of the most widely used social media sites in the world is Facebook. With 2.85 billion monthly active users as of 2021, Facebook is the most popular social media network on the planet. This platform has now become an important avenue for raising awareness. The way society utilizes these platforms is a matter of study. There is a lot of research on how politicians and celebrities throughout the world used it for communication. On the other side, there is a scarcity of studies on the use of social media for science communication. With the growing importance of social media as a source of knowledge, it's become a matter of whether these online platforms can present science news in a way that even non-scientists can grasp. The present study is fruitful in gaining knowledge that how science communicators used Facebook pages as a tool to reach a massive following. The researcher selects the most popular science communication facebook pages from the Google web browser. Later, through purposive sampling researcher select six popular pages. The study is based on the method of content analysis.

Youtube as a Teaching Media to Enggage Students’ Interest iIn Learning Speaking of English Language Learners At Universitas Muhammadiyah Kotabumi

The popular social media network today is Youtube. In the context of teaching and learning, Youtube can be used as a learning medium. Youtube can increase students' interest in learning Speaking. The benefit of the results of this study is to describe how students are interestedtouse Youtube in a learning medium for Speaking. This research uses descriptive quantitative research methods. The instrument of this research is a questionnaire. The results in this research is the use of Youtube as a learning medium played a significant positive role in increasing students' interest in learning. Youtube also has a positive role to increase students' interest in learning.

Problematic social media use and associated consequences on academic performance decrement during Covid-19

Based on the Stressor-Strain-Outcome (SSO) model, this study investigates the mechanism by which problematic social media use (PSMU) influences academic performance decrement via two psychological factors namely, technostress and exhaustion. It also identifies the social media usage characteristics of undergraduate students in Saudi Arabia during Covid-19. An online questionnaire was distributed to undergraduate social media users from Shaqra University. Analysis of the 312 responses shows that PSMU is a significant stressor affecting both technostress and exhaustion and thus reducing academic performance. Moreover, both are important mediators in the link between PSMU and decline in academic performance. WhatsApp, Snapchat, Twitter and Instagram are the most popular social media networks used by the undergraduates while Facebook and Skype are the least preferred. Roughly one-third (31.41%) of the students spend more than six hours a day on social media. The findings will help educators and other stakeholders to design appropriate interventions and strategies to minimize the unfavourable effects of social media in academia.

“From All Sides”: Black-Asian Reddit Communities Identify and Expand Experiences of the Multiracial Microaggression Taxonomy

The purpose of this paper is to examine the identity narratives of online Black-Asian communities concerning their multiracial microaggression experiences. As we are investigating an under-explored population, we utilize a purposive sampling method to narrow forum engagement by Black-Asian users on the popular social media network, Reddit. Our research is guided by multiracial critical theory (MultiCrit) which highlights monoracism as a ubiquitous element of the monoracial paradigm of race. In our research, we employ a content analysis using Black-Asian microaggression narratives to test the existing multiracial microaggression taxonomy. Our findings demonstrate that Black-Asian subreddit communities identified all of the existing multiracial microaggression categories: (1) exclusion or isolation; (2) exotification and objectification; (3) assumption of monoracial or mistaken identity; (4) denial of multiraciality; (5) pathologizing of identity and experiences; and (6) microaggressions based on racial stereotypes. Our analysis also found an emerging microaggression category entitled (7) white-mixed superiority. These multiracial microaggressions drew on monoracist ideologies and the monoracial paradigm of race, which exclude Black-Asian people and aid the maintenance of white supremacy in the United States. As such, we suggest further inquiry and expansion of the multiracial microaggression taxonomy to include how racism, particularly the monoracial paradigm of race, influences non-white multiracial identities.

Youtube Contents Provides Inadequate Information About The Diagnosis And Treatment Of Hallux Valgus

Objective: According to the data in September 2020, 63.2% of the world population uses the internet. Internet is one of the most important sources for fast and easy access to information. Youtube is the second most popular social media network platform. Our aim in this descriptive study was to evaluate the accuracy and quality of the information in hallux valgus videos shared on YouTube.
 Methods: The keywords "hallux valgus" and "bunyon" were searched on Youtube respectively. The videos were evaluated by two independent reviewers according to VPI, Discern, GQS, JAMA and HVS scoring systems.
 Results: As a result of search a total of 64 videos were evaluated. The view count varies between 56438 and 14799537, with a mean of 665114.48 ± 1837230.87. The videos had a total run time varies between 47 and 3731 seconds, with a mean of 457.67 ± 538.93 seconds. The average; VPI score was 1336,77±8212,91; Discern score was 1,55±0,58; GQS score was 2,17±0,83; JAMA score was 1,39±0,48 and HVS score was 4,72±4,83. 
 Conclusion: Information on the diagnosis and treatment of hallux valgus on Youtube is of low quality and its content is of unknown source and accuracy.

Knowledge, Attitude, Practice, and Fear of COVID-19: an Online-Based Cross-cultural Study.

The study aimed to measure Knowledge, Attitude, and Practice (KAP) and fear level towards COVID-19 and explore its cross-cultural variances in knowledge by sociodemographic factors among the general population of 8 different countries over 5 continents. It was a cross-sectional online survey. This survey was conducted in April 2020 among 1296 participants using the “Google Form” platform. Considering the social distancing formula and pandemic situation, we collect data using popular social media networks. Univariate and bivariate analyses were used to explore the collected data on KAP, fear, and sociodemographic factors. Overall knowledge score was 9.7 ± 1.7 (out of 12), and gender differences (female vs male: 9.8 ± 1.6 vs 9.5 ± 1.9) were significant (p = 0.008) in the bivariate analysis. Knowledge score variances were found significant in some regions by gender, marital status, and education qualification. The highest and lowest mean knowledge scores were recorded in the Middle East (10.0 ± 1.7) and Europe (9.3 ± 2.0). Despite having a high fear score (22.5 ± 5.6 out of 35), 78.35% of respondents were positively and 81.7% in a good practice level. Fear score rankings: Middle East (1st; 23.8 ± 5.5), Europe (2nd; 23.2 ± 5.8), Africa (3rd; 22.7 ± 5.0), South Asia (4th; 22.1 ± 5.7), Oceania (5th; 21.9 ± 5.8), and North America (6th; 21.7 ± 5.5). Fear and knowledge were not correlated. KAP and fear variation exist among geographical regions. Gender, marital status, and education qualification are factors in knowledge variances for some regions. KAP and fear measures can help health education programs consider some sociodemographic factors and regions during an outbreak of highly contagious disease and uplift a positive attitude and good practice.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11469-021-00638-4.

Exploring Popular Social Media Networks for Patients With Inflammatory Bowel Diseases: Insights for Better Care.

The aim was to assess topics of interest and concerns among patients with inflammatory bowel diseases (IBD) who are active online. Social media (SM) networks are a major communication tool for patients with IBD and health care professionals. We performed an anonymized investigation of SM networks for IBD patients; I-a thematic analysis of patients' posts, II-an online survey advertised through Facebook and other popular SM networks throughout November 2019. Analyzing 2133 posts (2014 to 2019) revealed 18 topics of interest. The online survey was completed by 534 respondents [63%-Crohn's disease, 56%-female, median age-38 years (interquartile range: 28.7 to 51.0)]. Most respondents (70%) were followed in referral centers, and 45% were receiving biological therapy. Respondents reported high satisfaction with IBD care and health care provider professionalism. The top 5 topics of interest were diet, lifestyle, complementary and alternative medicine, diagnostic test interpretation, and specialist referrals and reviews. Cluster analysis demonstrated that gender, income, and education level were associated with specific interest and concerns. Patients' activity on SM is independent of their satisfaction with formal IBD care and rather reflects an ongoing need for information and support. These needs may be addressed both in clinical settings and through online tools.

Spam Detection and Spammer Behaviour Analysis in Twitter Using Content Based Filtering Approach

Twitter is one of the most popular social media networks and therefore it is prone to misuse. One of the ways in which people misuse Twitter is by spamming. Spam becomes an issue once a communication medium especially one, which enables global communication and handle huge amount of online data. Since Twitter is popular among so many people, it makes it easy for spammers to thrive. Spammers are people who send unwanted messages to people to either advertise a product or lure the victims into clicking malicious links, which may affect their user systems. The main objective of these spammers is usually to make money from their victims. In the last years, several systems has-been made with the aim of determining whether a user is a spammer or not. However, these systems cannot filter each spam message and a different account can be created by a spammer and used to send other messages. This paper proposes a content-based approach, which can be used to filter spam tweets. The approach involves using tweets in machine learning and compression algorithms in order to filter the undesired tweets.

Semi-automatic generation of multilingual datasets for stance detection in Twitter

Popular social media networks provide the perfect environment to study the opinions and attitudes expressed by users. While interactions in social media such as Twitter occur in many natural languages, research on stance detection (the position or attitude expressed with respect to a specific topic) within the Natural Language Processing field has largely been done for English. Although some efforts have recently been made to develop annotated data in other languages, there is a telling lack of resources to facilitate multilingual and crosslingual research on stance detection. This is partially due to the fact that manually annotating a corpus of social media texts is a difficult, slow and costly process. Furthermore, as stance is a highly domain- and topic-specific phenomenon, the need for annotated data is specially demanding. As a result, most of the manually labeled resources are hindered by their relatively small size and skewed class distribution. This paper presents a method to obtain multilingual datasets for stance detection in Twitter. Instead of manually annotating on a per tweet basis, we leverage user-based information to semi-automatically label large amounts of tweets. Empirical monolingual and cross-lingual experimentation and qualitative analysis show that our method helps to overcome the aforementioned difficulties to build large, balanced and multilingual labeled corpora. We believe that our method can be easily adapted to easily generate labeled social media data for other Natural Language Processing tasks and domains.

Young Cancer on <em>Instagram</em>

Young Cancer on <em>Instagram</em>

Is quality of YouTube content on Bankart lesion and its surgical treatment adequate?

BackgroundThe Internet has developed into a fast and easy to access source of information. The second most popular social media network is YouTube. We aimed to evaluate the accuracy and quality of videos uploaded to YouTube about Bankart lesion without diagnostic or treatment-related criteria.MethodsVarious keywords were searched for on YouTube. Videos were evaluated with the DISCERN and JAMA Benchmark scoring systems by two independent reviewers.ResultsA total of 48 videos were taken into evaluation as a result of the search. The mean view count was 28909.68 ± 30264.3. Mean length of the videos was 313,06 ± 344.65. The average DISCERN score of both reviewers was 2.35 ± 0.91. The average JAMA Benchmark score of both reviewers was 2.11 ± 0.77.ConclusionWe concluded that the accuracy and reliability of the videos obtained from YouTube by searching for the words Bankart and labrum lesion/injury/treatment are low.

Are Managers Listening to Twitter? Evidence from Mergers & Acquisitions

This paper studies the feedback effects of social media on corporate investment decisions. Using a comprehensive sample of millions of tweets from a popular social media network, I show that negative social media feedback around the announcement of a corporate acquisition increases the likelihood that the M&A deal is subsequently withdrawn, especially when the relevant tweets have a higher prominence and visibility, and when the acquiring firm’s stock has low price informativeness. This effect is not subsumed by the announcement returns of the acquiring and target firm or the reaction to the M&A announcement in traditional news media. Managers use feedback from social media as a substitute for other sources of information to help guide their investment decisions.

Exploring loneliness and social networking: Recipes for hedonic well-being on Facebook

Every day, billions of people participate on social networking sites such as Facebook. We are now more virtually “connected” than ever before, yet for many individuals, the world is a very lonely place, both physically and virtually. This study takes a self-determination theory (SDT) perspective to explore the recipes for hedonic well-being derived from Facebook, the world’s most popular social media network, for users with high versus low levels of perceived loneliness. A random sample from a panel of participants throughout the US of n = 323 analyzes active members of Facebook with fuzzy-set qualitative comparative analysis (fsQCA). Our findings suggest that, in the context of social exclusion, interactivity and belonging may be the psychological needs that drive Facebook usage for high loneliness individuals and simultaneously the reward for low loneliness ones.

#EUROmicroMOOC: using Twitter to share trends in Microbiology worldwide.

Twitter is one of the most popular social media networks that, in recent years, has been increasingly used by researchers as a platform to share science and discuss ongoing work. Despite its popularity, Twitter is not commonly used as a medium to teach science. Here, we summarize the results of #EUROmicroMOOC: the first worldwide Microbiology Massive Open Online Course taught in English using Twitter. Content analytics indicated that more than 3 million users saw posts with the hashtag #EUROmicroMOOC, which resulted in over 42 million Twitter impressions worldwide. These analyses demonstrate that free Microbiology MOOCs shared on Twitter are valuable educational tools that reach broad audiences throughout the world. We also describe our experience teaching an entire Microbiology course using Twitter and provide recommendations when using social media to communicate science to a broad audience.

Social media networking satisfaction in the US and Vietnam: Content versus connection

Facebook is one of the most notable and popular social media networks in the world. It appeals to people of differing cultures, mindsets, and demographics. This study explores cross-cultural differences regarding the relative emphasis of social connection versus informational content to examine ingredients for satisfaction in a social media network in Vietnam (n = 190) versus the US (n = 280). Uses and gratifications theory and self-determination theory argue that belonging, affinity, interactivity, emotional connection, system quality, and information quality are equally important to satisfaction for both cultures. However, the social capital theory, social network density, and cultural tightness-looseness combine to propose differences between the two cultures. Therefore, this study uses fuzzy set qualitative comparative analysis (fsQCA) to find that both cultures value belonging, affinity, and interactivity. In terms of differences, Vietnamese derive higher satisfaction from system quality and emotional connection, and Americans indicate higher satisfaction from information quality.

Social Media as an Opportunity for Public Health Interventions: The #Metoo Movement as an Exemplar

Background: Social media have been used exponentially and globally, providing a means for billions of users to connect, interact, share opinions and criticise, becoming one of the main channels of communication for users around the world. One of the most popular free social media networks is Twitter, with more than 100 million active users per day worldwide. Purpose: The aim of this study was to analyse a sample of the public conversations generated, using the hashtag #MeToo, around the topic of sexual abuse on Twitter. Methods: Using social media marketing software, the use of the #MeToo hashtag was analysed over a period of 60 days (14 September 2017 to 13 November of 2017). Results: The #MeToo conversation was mainly in English (79.3%), located in the United States (48.2% of cases), but with global repercussions. The volume of mentions of the #MeToo hashtag was far greater (97.7%), compared with other hashtags related to violence over this period of time, using mostly Twitter (96.2%). Conclusions: These results suggest that it is possible to describe different groups using the social media, and analyse their conversations to identify opportunities for successful public health interventions. If the topic is relevant for the general public, it will generate interest and conversations at the global level, supported by a universal and borderless channel such as Twitter.

The impact of social media on academic performance of Sheikh Zayed university's students

Information Technology plays an important role in all sectors of life including education. Afghan universities use variety of Information and Communication Technologies to get access to different learning resources and this way can improve quality of education in their classrooms. Social media is an important part of information technology which provides great opportunities for instructors and students to communicate, share, and exchange views on different educational topics. The aim of this research is to find the advantages and disadvantages of using social media for students during learning process in Sheikh Zayed University (SZU). The study found answers to the following questions: Does the university have necessary facilities such as electricity, ICTs, and the Internet? Does each department and faculty of the university have official pages in different Social Media networks? For what purpose the university students use Social Media? The research results indicate that Sheikh Zayed University has the basic facilities such as electricity, ICTs and Internet. More departments and faculties of SZU have pages in popular social media networks and they are used for communication and changing information between instructors and students. About 50 percent of SZU students’ use social media for learning and interaction with instructors and colleagues while the remaining percentile of students do not use social media due to different reasons such as poor ICT literacy skills and limited or not access to ICT tools.