scholarly journals Students’ Perception and Attitudes toward Faculty Image on Social Networks

Author(s):  
Milena Vukić ◽  
Snežana Milićević ◽  
Ksenija Vukić

Purpose of this paper is to determine how students perceive the image of their faculty on social networks, but also to analyse their experience and attitudes towards faculty social media strategy. The research was implemented using descriptive statistic techniques, as well as non-parametric tests such as Mann-Whitney U Test, Kruskal-Wallis H Test and Spearman’s Rho. The most common source of information when it comes to enrolment to faculty is word of mouth, while social media have a signifi-cantly lower credibility. During their schooling the respondents have most confidence in the official website, and far less in social networks. Such findings signalize the necessity of creating an adequate digital marketing strategy that can significantly improve the perceived faculty image. Positive perception of the image is fundamental for understanding the process of searching for and selection of the faculty, especially since the results have shown that the students do not value highly the image their faculties have on social networks. Positive perception of faculty image mostly depends on promotion strategy on Facebook and Insta-gram, and far less on LinkedIn and Twitter. In addition, students value more the image of the faculty whose social network pro-file they follow and, in a case, when they are followed back. No correlation was found between faculty image and gender, age or average grade. Therefore, we can conclude that social networks are very important in creating positive image and thanks to new technology, they are a promising solution for differentiation from competition in digital space.

Author(s):  
Sreekanth Kumar Mallineni ◽  
Sivakumar Nuvvula ◽  
Jaya Chandra Bhumireddy ◽  
Ahmad Faisal Ismail ◽  
Priya Verma ◽  
...  

Aim: To assess the knowledge and perceptions of COVID-19 among pediatric dentists based on their dependent source of information. Methods: A descriptive-analytical cross-sectional survey using a self-administered questionnaire with 23 questions was sent via Google forms to pediatric dentists. All participants were divided into three groups [postgraduate residents (PGs), private practitioners (PP), and faculty (F)]. The comparison of knowledge and perception scores was made based on occupation, source of information, and descriptive statistics used for the analysis using SPSS 21.0 (IBM, Armonk, NY, USA). Results: A total of 291 pediatric dentists completed the survey, and the majority of them were females (65%). Overall, good mean scores were obtained for knowledge (9.2 ± 1.07) and perceptions (5.6 ± 1.5). The majority of the participants used health authorities (45%) to obtain updates on COVID-19, while social media (35.1%) and both (19.6%) accounted for the next two. A statistically significant difference (p < 0.05) was found among different pediatric dentists groups for relying on the source of information. Conclusion: Overall good pediatric dentists showed sufficient knowledge regarding COVID-19. The pediatric dentists’ age, occupation, and source of information influenced knowledge regarding COVID-19, whereas perceptions were influenced by age and gender of the participants. Health authorities successfully educated pediatric dentists than the social media


grafica ◽  
2021 ◽  
pp. 1-18
Author(s):  
Antoni Hernández-Fernández ◽  
Francesc Morera-Vidal

Infographics in social networks present more elaborate proposals than simple text. In this study we analyze the general patterns of Twitter infographic messages to determine its main characteristics. Subsequently, we conducted a test to compare learning differences when young people use infographics instead of text as a source of information. Our findings suggest that while infographics are more effective than text for digitally mediated learning in young people, an analysis of age and gender subgroups showed that this effectiveness was only statistically significant for older people.


Author(s):  
Svitlana Koval

In this study we explore the user-generated content as one of the most unique tools of modern online environment. The user-generated content results from the interactivity with audience that becomes possible through the Web 2.0 technologies. Being accessible and affordable to the general audience, these technologies are widely applied by the users to independently create and share their own content. The objective of the research is to explore and substantiate the nature of the user-generated content (hereinafter UGC) phenomenon as a source of information for the online media. Being a multifunctional phenomenon UGC requires a comprehensive approach to the selection of research methods. We use the methods of analysis, synthesis, systematization, and comparison to explore the content samples from the wide range of sources including the citizen journalism, media activism, complicity journalism, and marketing. A method of observation let us identify the ways of including the user-generated content to the journalists’ publications; we also use the method of classification to distinguish the different forms of UGC. Results and Conclusions. The user-generated content is increasingly becoming popular, especially among the users of social networks. Media pay much attention to the UGC, encouraging its expansion. Different forms of social networks’ content, such as video, digital images, text, infographics and combined content are widely used by journalists to produce their own media products. Cherkasy online publishers take user-generated content from the Facebook and VKontakte social networks’ personal pages for different purposes including the following: as a newsbreak, as a main text, as an addition to the product, as an illustration, as special focus determination, as an exclusive, etc. The user-generated content does not replaces the professional journalistic products, but rather complements and expands them. Special attention should be paid to the verification of the user-generated content.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M A Sousa ◽  
M D O Lima ◽  
P A Oliveira

Abstract Background Due to social and technological developments, experiences related to relationships between people express changes, which can be observed in social media, especially in social networks and dating and sexual apps. The use of social networks is growing among people of all age groups, which facilitates the maintenance of interpersonal contact and allows some people to get to know each other digitally, in addition to assisting in the search for information about sexuality and making it possible to meet with women. loving or sexual purpose. Objective to understand the means that university students express their sexuality in digital media. Methods This is a research with a qualitative approach, based on the Theory of Social Representations. University students from Belo Horizonte participated in the study. Data collection took place through a structured questionnaire with open and closed questions made available via the internet. The data were interpreted based on the Structural Analysis of the Narration, proposed by Demazière; Dubar. Results Two theoretical categories were listed. Use of digital media for sexual and amorous encounters - university students reveal the use of apps for casual encounters, where they use photos considered sensual to get a date outside the digital medium. Use of digital media as a source of information - the research subjects say they use the internet as a source of information about sexuality, as they still consider this issue difficult to approach with parents. These students also share the acquired information and personal experiences with friends. Conclusions In the digital environment, social relations are based on a hypervisibility of personal life on social networks, where intimate, private and especially sexual and body issues are exposed. Key messages Understanding how university students express their sexuality in digital media is an important step towards promoting the health of this population group. Social media can be of great value, but it can also present risks. Thus, university students are susceptible to these two factors, especially when it comes to topics such as sexuality.


2021 ◽  
Vol 9 ◽  
Author(s):  
Mohamad-Hani Temsah ◽  
Mazin Barry ◽  
Fadi Aljamaan ◽  
Abdullah N. Alhuzaimi ◽  
Ayman Al-Eyadhy ◽  
...  

Background: Healthcare workers' (HCWs') travel-related anxiety needs to be assessed in light of the emergence of SARS-CoV-2 mutations.Methods: An online, cross-sectional questionnaire among HCWs between December 21, 2020 to January 7, 2021. The outcome variables were HCWs' knowledge and awareness of the SARS-CoV-2 B.1.1.7 lineage that was recently reported as the UK variant of concern, and its associated travel worry and Generalized Anxiety Disorder (GAD-7) score.Results: A total of 1,058 HCWs completed the survey; 66.5% were female, 59.0% were nurses. 9.0% indicated they had been previously diagnosed with COVID-19. Regarding the B.1.1.7 lineage, almost all (97.3%) were aware of its emergence, 73.8% were aware that it is more infectious, 78.0% thought it causes more severe disease, and only 50.0% knew that current COVID-19 vaccines are effective in preventing it. Despite this, 66.7% of HCWs were not registered to receive the vaccine. HCWs' most common source of information about the new variant was social media platforms (67.0%), and this subgroup was significantly more worried about traveling. Nurses were more worried than physicians (P = 0.001).Conclusions: Most HCWs were aware of the emergence of the SARS-CoV-2 B.1.1.7 variant and expressed substantial travel worries. Increased worry levels were found among HCWs who used social media as their main source of information, those with lower levels of COVID-19 vaccine uptake, and those with higher GAD-7 scores. The utilization of official social media platforms could improve accurate information dissemination among HCWs regarding the Pandemic's evolving mutations. Targeted vaccine campaigns are warranted to assure HCWs about the efficacy of COVID-19 vaccines toward SARS-CoV-2 variants.


Information ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 154 ◽  
Author(s):  
Ricardo Resende de Mendonça ◽  
Daniel Felix de Brito ◽  
Ferrucio de Franco Rosa ◽  
Júlio Cesar dos Reis ◽  
Rodrigo Bonacin

Criminals use online social networks for various activities by including communication, planning, and execution of criminal acts. They often employ ciphered posts using slang expressions, which are restricted to specific groups. Although literature shows advances in analysis of posts in natural language messages, such as hate discourses, threats, and more notably in the sentiment analysis; research enabling intention analysis of posts using slang expressions is still underexplored. We propose a framework and construct software prototypes for the selection of social network posts with criminal slang expressions and automatic classification of these posts according to illocutionary classes. The developed framework explores computational ontologies and machine learning (ML) techniques. Our defined Ontology of Criminal Expressions represents crime concepts in a formal and flexible model, and associates them with criminal slang expressions. This ontology is used for selecting suspicious posts and decipher them. In our solution, the criminal intention in written posts is automatically classified relying on learned models from existing posts. This work carries out a case study to evaluate the framework with 8,835,290 tweets. The obtained results show its viability by demonstrating the benefits in deciphering posts and the effectiveness of detecting user’s intention in written criminal posts based on ML.


2018 ◽  
pp. 185-212 ◽  
Author(s):  
Assumpció Huertas ◽  
Estela Marine-Roig

There are three phases in the use of online social media by tourists: before, during and after the trip. The aim of this study is to determine what social network users use to find information before and during the trip, the type of information they search, and where they share information. The study also identifies the relationship this has with the trustworthiness social networks provide them, especially distinguishing the social networks managed by the destination organizations. Therefore, we conduct a survey of 800 tourists who are social network users. Results show that social networks are not a major source of information before or during the trip but are very important for sharing contents after the experience, and that the most searched information concerns the main attractions of the destination. Moreover, there is a relationship between the use of social media and their perceived trustworthiness. In this case, for those who use social networks managed by destinations, these give them greater confidence.


2021 ◽  
Author(s):  
Mohamad-Hani Temsah ◽  
Mazin Barry ◽  
Fadi Aljamaan ◽  
Abdullah N Alhuzaimi ◽  
Ayman Al-Eyadhy ◽  
...  

AbstractBackgroundHealthcare workers’ (HCWs’) travel-related anxiety needs to be assessed in light of the emergence of SARS-CoV-2 mutations.MethodsAn online, cross-sectional questionnaire among HCWs between December 21, 2020 to January 7, 2021. The outcome variables were HCWs’ knowledge and awareness of the SARS-CoV-2 B.1.1.7 lineage, and its associated travel worry and Generalized Anxiety Disorder (GAD-7) score.ResultsA total of 1,058 HCWs completed the survey; 66.5% were female, 59.0% were nurses. 9.0% indicated they had been previously diagnosed with COVID-19 themselves. Regarding the B.1.1.7 lineage, almost all (97.3%) were aware of its emergence, 73.8% were aware that it is more infectious, 78.0% thought it causes more severe disease, and only 50.0% knew that current COVID-19 vaccines are effective in preventing it. Despite this, 66.7% of HCWs were not registered to receive the vaccine. HCWs’ most common source of information about the new variant was social media platforms (67%), and this subgroup was significantly more worried about travelling. Nurses were more worried than physicians (P=0.001); additionally, those who had not travelled in the previous 3 months and those who had not received or registered for the COVID-19 vaccine were also significantly more worried (P = 0.037 and P < 0.001, respectively).ConclusionsMost HCWs were aware of the emergence of SARS-CoV-2 B.1.1.7 variant and expressed substantial travel worries. Increased worry levels were found among HCWs who used social media as their main source of information, those with lower levels of COVID-19 vaccine uptake, and those with higher GAD-7 scores. Utilization of official social media platforms could improve accurate information dissemination among HCWs regarding the pandemic’s evolving mutations. Targeted vaccine campaigns are warranted to assure HCWs about the efficacy of COVID-19 vaccines toward SARS-CoV-2 variants.


Comunicar ◽  
2021 ◽  
Vol 29 (67) ◽  
Author(s):  
Beatriz Feijoo ◽  
Simón Bugueño ◽  
Charo Sádaba ◽  
Aurora García-González

This article presents the results of research that seeks to analyze the ability of minors to identify the advertising messages received through the most used social networks by this audience (YouTube and Instagram). Children’s aptitude to recognize persuasive intent was measured in a selection of examples taken for this study, as well as the perception that parents or guardians had about the minor's ability to recognize advertising on the platforms analyzed. Results were obtained from a survey applied to dyads in 501 homes in the Metropolitan Area of Santiago de Chile, to children aged 10 to 14 and to one of their parents or guardians. Main results include the notion that more than 50% of children were not able to detect advertising in examples containing ads. Lower recognition percentages were obtained in cases that combined persuasive content and entertainment and were not classified as advertising. For their part, adults perceived that their children recognize persuasive intent to a lesser extent than indicated by the children themselves. An explicit and clear signaling of advertising messages, as well as advertising literacy according to the age of minors could help them discern the content they consume on social networks. Este artículo presenta los resultados de una investigación que analiza la capacidad del menor para identificar los mensajes publicitarios que recibe a través de las redes sociales de más uso entre este perfil de audiencia (YouTube e Instagram). Se midió la aptitud de niños y niñas para reconocer la intencionalidad persuasiva en una selección de ejemplos tomados para este estudio. Adicionalmente se analizó también la percepción que sus padres o adultos responsables declararon tener sobre dicha capacidad de los menores. Los resultados provienen de una encuesta aplicada en díadas en 501 hogares del Área Metropolitana de Santiago de Chile tanto a niños y niñas entre 10 y 14 años como a uno de sus padres o adulto responsable. Entre los principales resultados destaca que en los ejemplos propuestos la mayoría de los encuestados (más de un 50%) no fue capaz de detectar publicidad en contenidos que sí la integraban. Los porcentajes de reconocimiento fueron incluso inferiores en aquellos casos que entremezclaban contenido persuasivo y entretenimiento y que no estaban catalogados como publicitarios. Por su parte, padres y madres percibieron que sus hijos reconocen la intencionalidad persuasiva en menor medida que lo indicado por ellos. Una señalización explícita y clara de los mensajes publicitarios, así como una alfabetización publicitaria acorde a la edad de los menores podrían ayudarles a discernir los contenidos que consumen en redes sociales.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Luis G. Moreno-Sandoval ◽  
Alexandra Pomares-Quimbaya ◽  
Jorge A. Alvarado-Valencia

AbstractDigital social networks have become an essential source of information because celebrities use them to share their opinions, ideas, thoughts, and feelings. This makes digital social networks one of the preferred means for celebrities to promote themselves and attract new followers. This paper proposes a model of feature selection for the classification of celebrities profiles based on their use of a digital social network Twitter. The model includes the analysis of lexical, syntactic, symbolic, participation, and complementary information features of the posts of celebrities to estimate, based on these, their demographic and influence characteristics. The classification with these new features has an F1-score of 0.65 in Fame, 0.88 in Gender, 0.37 in Birth year, and 0.57 in Occupation. With these new features, the average accuracy improve up to 0.14 more. As a result, extracted features from linguistic cues improved the performance of predictive models of Fame and Gender and facilitate explanations of the model results. Particularly, the use of the third person singular was highly predictive in the model of Fame.


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