scholarly journals دور الألتمتريقا في قياس تأثير المنتجات العلمية والفكرية: بحثٌ وثائقيٌ

2020 ◽  
pp. 34-69
Author(s):  
وليد محمد هيكل
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Academic Community ◽  
Research Institutions ◽  
Sources Of Information ◽  
Web Environment ◽  
The Social ◽  
Social Media Platforms ◽  
The Impact ◽  
The Web

Altmetrics is one of the recent impact measures to measure all sources of information without bias or exception. These measurements are completely dependent on the Web 2.0 environment to track posts, comments and public discussions around research products in the social media, as they are not only based on reference citations that are considered in the traditional measurements but considered them as one of the factors in a variety of other measurements. Since the start of talking about these measurements, a number of services and tools have emerged which are developed continuously. Like any new field, it has its supporters and opponents due to the restrictions, problems and manipulations that face the application of these measurements. That is why this study targeted the concept of altmetrics and the advantages of their application, the expected disadvantages behind their use, as well as the methods of manipulation used by researchers and publishers and ways to confront them. The researcher has depended on documentary approach to discuss the topic of altmetrics, and then explain the related terms, and describe them accurately. This study found that the altmetrics is one of the new measurements as a branch of the scientometrics stemming from the informetrics. It mainly focuses on capturing, collecting and analyzing data of the impact of research products on the web environment. Therefore, this study recommends the necessity of concerting the efforts of the academic and research institutions to spread awareness of the use and the application of altmetrics in the academic community, as well as encourages the researchers to publish and share their researches on social media platforms.

Social Media, Interfacing Brands in Relation to the Social Media Ecosystem

2017 ◽  
pp. 132-170 ◽  
Author(s):  
Ze Zook ◽  
Ben Salmon
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Relational Model ◽  
Marketing Environment ◽  
The Social ◽  
Inherent Structure ◽  
Interactive Nature ◽  
Social Media Platforms ◽  
Media Ecosystem ◽  
The Impact

Much of the existing research in social media has been directed at examining the consequences of the interactive nature of the evolving medium and communication issues, with little to say about the impact of this medium on brands. Drawing on Fiske's relational model, this current chapter examines the interface between social media and brands, particularly on the breadth and the dimensions of the level of engagement. Social networks, such as Facebook and Twitter, are revolutionising the way companies market their products. New means of interaction and dialogue are used in part because of the inherent structure and features of these social media platforms. The chapter concludes by discussing the implications of the analysis for understanding of new terminology in the evolving marketing environment.

Social Media, Interfacing Brands in Relation to the Social Media Ecosystem

2021 ◽  
pp. 1271-1301
Author(s):  
Ze Zook ◽  
Ben Salmon
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Relational Model ◽  
Marketing Environment ◽  
The Social ◽  
Inherent Structure ◽  
Interactive Nature ◽  
Social Media Platforms ◽  
Media Ecosystem ◽  
The Impact

Much of the existing research in social media has been directed at examining the consequences of the interactive nature of the evolving medium and communication issues, with little to say about the impact of this medium on brands. Drawing on Fiske's relational model, this current chapter examines the interface between social media and brands, particularly on the breadth and the dimensions of the level of engagement. Social networks, such as Facebook and Twitter, are revolutionising the way companies market their products. New means of interaction and dialogue are used in part because of the inherent structure and features of these social media platforms. The chapter concludes by discussing the implications of the analysis for understanding of new terminology in the evolving marketing environment.

The Fifth Troll Prerequisite

Cyberwar ◽  
2020 ◽  
pp. 141-154
Author(s):  
Kathleen Hall Jamieson
Keyword(s):  
Social Media ◽  
Organic Content ◽  
Sources Of Information ◽  
Multiple Sources ◽  
Social Media Platforms ◽  
Voter Models ◽  
The Impact ◽  
The U.S

Chapter 8 focuses on the fifth troll prerequisite which needed to be met if hacked and Russian-generated content were to influence the U.S. election: was it targeted to reach the desired constituencies? The chapter contends that, despite some arguments against the impact of the Russian troll messaging, the trolls targeted audiences needed to influence the election in both battleground and nonbattleground states, through the use of organic content and paid advertisements. The trolls had access to multiple sources of information about how to reach voters susceptible to mobilizing or demobilizing appeals, including publicly accessible analyses of the candidates’ objectives and tactics, stolen voter models hacked from the Democratic Congressional Campaign Committee, and toolkits offered by social media platforms to help identify desired audience members.

Perceived Personalization, Privacy Concern, e-WOM and Consumers' Click Through Intention in Social Advertising

2019 ◽  
Vol 11 (4) ◽  
pp. 39-55
Author(s):  
Debora Dhanya A ◽  
Uma Pricilda Jaidev
Keyword(s):  
Social Media ◽  
Social Networking Sites ◽  
Psychological Reactance ◽  
Privacy Concern ◽  
The Social ◽  
Social Media Platforms ◽  
Social Advertising ◽  
Target Consumer ◽  
Personalized Advertising ◽  
The Impact

Social advertising, ads in social media platforms, have become popular in recent years because of the evolution of internet technologies such as web analytics and big data mining. The content of the social advertisement is tailored in order to personalize the message to the target consumer groups. In an effort to reach the prospects, marketers should focus on the social leads on social networking sites (SNS) to promote and to sell their brands/products. Drawing on, online personalized advertising literature, e-WOM recommendations and increasing privacy concerns and perceived ad personalization (conceptualized as functions of psychological reactance) on SNS leads to avoid such advertisements. The goal of the study is to investigate the impact of perceived personalization, privacy concern, and e-WOM to consumers' behavioral click through intentions towards social ads. This study contributed to the theory of psychological reactance by indicating that the individuals with less privacy concern and personalized recommendations from their contacts on SNS have a smaller amount of reactance towards social advertisements than commercial advertisements by marketers. Suggestions for advertisers, social media marketing practitioners conclude the paper.

Social Media to Social Media Analytics

2019 ◽  
Vol 10 (2) ◽  
pp. 57-70 ◽  
Author(s):  
Vikas Kumar ◽  
Pooja Nanda
Keyword(s):  
Social Media ◽  
Social Media Analytics ◽  
Social Media Data ◽  
Ethical Concerns ◽  
Ethical Implications ◽  
The Social ◽  
Social Media Platforms ◽  
The Individual ◽  
The Impact ◽  
Media Data

With the amplification of social media platforms, the importance of social media analytics has exponentially increased for many brands and organizations across the world. Tracking and analyzing the social media data has been contributing as a success parameter for such organizations, however, the data is being poorly harnessed. Therefore, the ethical implications of social media analytics need to be identified and explored for both the organizations and targeted users of social media data. The present work is an exploratory study to identify the various techno-ethical concerns of social media engagement, as well as social media analytics. The impact of these concerns on the individuals, organizations, and society as a whole are discussed. Ethical engagement for the most common social media platforms has been outlined with a number of specific examples to understand the prominent techno-ethical concerns. Both the individual and organizational perspectives have been taken into account to identify the implications of social media analytics.

scholarly journals Impact of Influencers in Consumer Decision Process: The Fashion Industry

2020 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Siti Nurfadila
Keyword(s):  
Social Media ◽  
Decision Process ◽  
Vital Role ◽  
Target Audience ◽  
Fashion Industry ◽  
Consumer Decision ◽  
Consumer Decision Process ◽  
The Social ◽  
Social Media Platforms ◽  
The Impact

The popularity of influencers is continuous and doesn’t have a limited window of influence. Internet and social media play vital role in helping consumers find the items they are looking for. Obviously companies will keenly try to retain a strong presence in the social media platforms; otherwise the target audience can easily change suppliers. The present   study is intended to explore the influencer marketing techniques used by fashion industries and also the impact of influencers on the consumers buying decision process in fashion industry.

scholarly journals Conspiracy beliefs and vaccination intent for COVID-19 in an infodemic

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0261559
Author(s):  
Ali Ghaddar ◽  
Sanaa Khandaqji ◽  
Zeinab Awad ◽  
Rawad Kansoun
Keyword(s):  
Social Media ◽  
Cross Sectional Study ◽  
Fake News ◽  
Sources Of Information ◽  
Cross Sectional ◽  
Viral Spread ◽  
The Social ◽  
Conspiracy Beliefs ◽  
Social Media Platforms ◽  
Guidelines And Recommendations

Background The massive, free and unrestricted exchange of information on the social media during the Covid-19 pandemic has set fertile grounds for fear, uncertainty and the rise of fake news related to the virus. This “viral” spread of fake news created an “infodemic” that threatened the compliance with public health guidelines and recommendations. Objective This study aims to describe the trust in social media platforms and the exposure to fake news about COVID-19 in Lebanon and to explore their association with vaccination intent. Methods In this cross-sectional study conducted in Lebanon during July–August, 2020, a random sample of 1052 participants selected from a mobile-phone database responded to an anonymous structured questionnaire after obtaining informed consent (response rate = 40%). The questionnaire was conducted by telephone and measured socio-demographics, sources and trust in sources of information and exposure to fake news, social media activity, perceived threat and vaccination intent. Results Results indicated that the majority of participants (82%) believed that COVID-19 is a threat and 52% had intention to vaccinate. Exposure to fake/ unverified news was high (19.7% were often and 63.8% were sometimes exposed, mainly to fake news shared through Watsapp and Facebook). Trust in certain information sources (WHO, MoPH and TV) increased while trust in others (Watsapp, Facebook) reduced vaccination intent against Covid-19. Believing in the man-made theory and the business control theory significantly reduced the likelihood of vaccination intent (Beta = 0.43; p = 0.01 and Beta = -0.29; p = 0.05) respectively. Conclusion In the context of the infodemic, understanding the role of exposure to fake news and of conspiracy believes in shaping healthy behavior is important for increasing vaccination intent and planning adequate response to tackle the Covid-19 pandemic.

Potential Power and Problems in Sentiment Mining of Social Media

2013 ◽  
Vol 4 (2) ◽  
pp. 16-26 ◽  
Author(s):  
John Wang ◽  
Qiannong Gu ◽  
Gang Wang
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
User Generated Content ◽  
Relative Degree ◽  
Web 2.0 Technologies ◽  
The Social ◽  
Sentiment Mining ◽  
The Future ◽  
Social Media Platforms ◽  
Infinite Array

Sentiment mining research has experienced an explosive growth in awareness and demand as Web 2.0 technologies have paved the way for a surge of social media platforms that have significantly and rapidly increased the availability of user generated opinioned text. The power of opinions has long been known and is beginning to be tapped to a fuller potential through sentiment mining research. Social media sites have become a paradise for sentiment providing endless streams of opinioned text encompassing an infinite array of topics. With the potential to predict outcomes with a relative degree of accuracy, sentiment mining has become a hot topic not only to researchers, but to corporations as well. As the social media user base continues to expand and as researchers compete to fulfill the demand for sentiment analytic tools to sift through the endless stream of user generated content, the growth of sentiment mining of social media will continue well into the future with an emphasis on improved reliability, accuracy, and automation.

scholarly journals IMPRESSION OF SOCIAL MEDIA ON ACADEMIC PERFORMANCE AND MORAL VALUES OF STUDENTS: A CASE OF THE COLLEGES LOCATED IN AREA OF OMERGA, SUB-DISTRICT

2020 ◽  
pp. 59-65
Author(s):  
Sushil R. Mathapati ◽  
Nitin R. Hulsure ◽  
Ankush V. Takale ◽  
Sachin S. Rajmane
Keyword(s):  
Social Media ◽  
Academic Performance ◽  
Rural Areas ◽  
Social Life ◽  
Moral Values ◽  
Present Generation ◽  
The Social ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
The Impact

In this technical world, young youth of India enjoyed to spend their foremost time on social media. Not only in cities but also in rural areas, it found that the present generation has attraction towards social media. In today’s world, life cannot be imagined without social media like WhatsApp, Facebook, YouTube, TikTok, Instagram, LinkedIn and Twitter accounts etc. In the present work, we have study the impact of use of social media on academic performance and moral values of students located in omerga sub-district. This expressive, investigative study surveyed the types of social media platforms students commonly use, the amount of time students spend on social media, the purposes for which students use the social media and the influence of social media use on students’ academic as well as social life. The study also found that majority of students agreed that their educational performance is influenced due to the massive use of social media. Additionally, near about 50% students from these colleges think them self as they are addicted to use of social media. Keywords: Social media, Students life, Academic performance, Molar values.

Measuring the impact of COVID-19 papers on the social web: an altmetric study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Metwaly Ali Mohamed Edakar ◽  
Ahmed Maher Khafaga Shehata
Keyword(s):  
Social Media ◽  
Social Impact ◽  
Service Providers ◽  
Research Performance ◽  
Future Research ◽  
Content Type ◽  
The Social ◽  
Social Media Platforms ◽  
Number Of Citations ◽  
The Impact

Purpose The rapid spread and severity of the coronavirus (COVID-19) virus have prompted a spate of scholarly research that deals with the pandemic. The purpose of this study is to measure and assess the coverage of COVID-19 research on social media and the engagement of readers with COVID-19 research on social media outlets. Design/methodology/approach An altmetric analysis was carried out in three phases. The first focused on retrieving all papers related to COVID-19. Phase two of the research aimed to measure the presence of the retrieved papers on social media using altmetric application programming interface (API). The third phase aimed to measure Mendeley readership categories using Mendeley API to extract data of readership from Mendeley for each paper. Findings The study suggests that while social media platforms do not give accurate measures of the impact as given by citations, they can be used to portray the social impact of the scholarly outputs and indicate the effectiveness of COVID-19 research. The results confirm a positive correlation between the number of citations to articles in databases such as Scopus and the number of views on social media sites such as Mendeley and Twitter. The results of the current study indicated that social media could serve as an indicator of the number of citations of scientific articles. Research limitations/implications This study’s limitation is that the studied articles’ altmetrics performance was examined using only one of the altmetrics data service providers (altmetrics database). Hence, future research should explore altmetrics on the topic using more than one platform. Another limitation of the current research is that it did not explore the academic social media role in spreading fake information as the scope was limited to scholarly outputs on social media. The practical contribution of the current research is that it informs scholars about the impact of social media platforms on the spread and visibility of COVID-19 research. Also, it can help researchers better understand the importance of published COVID-19 research using social media. Originality/value This paper provides insight into the impact of COVID-19 research on social media. The paper helps to provide an understanding of how people engage with health research using altmetrics scores, which can be used as indicators of research performance.

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