The Impact of Online Social Media on Translation Pedagogy and Industry

2020 ◽  
Author(s):  
Abdulfattah Omar ◽  
Hamza Ethleb ◽  
Yasser A. Gomaa
Keyword(s):  
Social Media ◽  
Online Social Media ◽  
Translation Pedagogy ◽  
The Impact

Rumors on the Net: A Brackish Suspension of Speech and Hate

2019 ◽  
pp. 174387211988012 ◽  
Author(s):  
Anne Wagner ◽  
Sarah Marusek
Keyword(s):  
United States ◽  
Social Media ◽  
Hate Speech ◽  
Public Memory ◽  
The United States ◽  
Online Social Media ◽  
Cyber Culture ◽  
Social Media Platforms ◽  
The Impact ◽  
Mob Mentality

The legitimacy of public memory and socially normative standards of civility is questioned through rumors that abound on online social media platforms. On the Net, the proclivity of rumors is particularly prone to acts of bullying and frameworks of hate speech. Legislative attempts to limit rumors operate differently in France and throughout Europe from the United States. This article examines the impact of online rumors, the mob mentality, and the politicization of bullying critics within a cyber culture that operates within the limitations of law.

scholarly journals Analysis of People Response on Twitter Towards Tidal Wave Disaster in the Southern Coast of Yogyakarta Special Province (Case Studies: Parangtritis Beach, Bantul Regency)

2019 ◽  
Author(s):  
Satria Indratmoko ◽  
Inayah Bastin Al Hakim ◽  
Wahyu Satrio Guntoro
Keyword(s):  
Social Media ◽  
Indian Ocean ◽  
Tidal Wave ◽  
Media Usage ◽  
Online Social Media ◽  
Analysis Theory ◽  
The Indian Ocean ◽  
Tourism Activity ◽  
The Impact ◽  
Dangerous Condition

In July 2018 the movement of the wind from Australia to the Indian Ocean gives the impact on season transition from rainy to dry season. As the result, the wave becomes so much higher than normal condition as it hits the coastal area as well as in the southern part of Yogyakarta Special Province where is directly bordered with the Indian Ocean. Some impacted areas are popular tourism spots like Parangtritis Beach. The wave wrecks several shops along the beach owned by the local people. The majority of damaged objects are semi-permanent buildings constructed by traditional bamboo and timber. Moreover the tourism activity has been warned due to the dangerous condition. The advancement of technology becomes one of popular issues including the increasing of online social media usage. Internet and gadgets such as smartphone are recently the part of people lifestyle. The nowadays people prefer to access anything online through their smartphone including to find the news on the website or social media such as Twitter. One of interested news is about disaster particularly in recognizable places as well as about tidal wave disaster in Parangtritis Beach. This study aims to investigate the advantages of Twitter contents related to the tidal wave in Parangtritis Beach on people response about the disaster and the beach. The analysis applies sentiment analysis theory. Furthermore the data being collected in this research is online from Twitter accounts that has divided into three phases of disaster (before tidal wave, during tidal wave, and after tidal wave).

The Impact of COVID-19 on the Prevalence and Perception of Telehealth Utilization. (Preprint)

2021 ◽  
Author(s):  
Khalid Adnan Shamiyah ◽  
Simon Whitebridge ◽  
Nitya Kumar ◽  
Stephen Atkin ◽  
Khawla Fuad Ali ◽  
...  
Keyword(s):  
Social Media ◽  
Public Attitudes ◽  
Healthcare Delivery ◽  
Mena Region ◽  
Patient Centered ◽  
Patient Acceptability ◽  
Online Social Media ◽  
Centered Care ◽  
Future Utility ◽  
The Impact

BACKGROUND Due to the COVID-19 pandemic, telehealth has emerged as a safer way to access healthcare. The telehealth industry has been rapidly expanding over the last decade as a modality to provide patient-centered care. However, the prevalence of its use and patient acceptability remains unclear in the Middle East and North Africa (MENA) region. OBJECTIVE The primary aim was to assess the prevalence of telehealth use before and during the pandemic by utilizing social media (Instagram) as an online platform for survey administration across different countries simultaneously. Our secondary aim was to assess the perceptions regarding telehealth usage amongst those utilizing it. METHODS An online social media platform (Instagram) that reaches 130,000 subjects daily, was used to administer a questionnaire that assessed the current prevalence of telehealth use and public attitudes and acceptability towards this modality of healthcare delivery during the COVID-19 pandemic. RESULTS 1524 respondents participated in the survey (females 89.3%; age range 25-38) of whom 91.2% lived in the GCC. Prior to COVID-19, 1440 (88%) had no exposure to telehealth. Following the covid-19 pandemic telehealth usage increased by 237% to a total of 644 users (40%) (follow-up consultations (n=410, 47%); first-time consultations (n=348, 40%)) that was associated with older age (p=0.001), having one or more comorbidities (p=0.001), taking one or more pills (p=0.001), living in the GCC (p=0.003). Those who reported using telehealth (n=679), 247 (36.4%) reported their willingness to continue using telehealth, 254 (37.4%) were unsure and 178 (26.2%) did not wish to continue to use telehealth after the COVID19 pandemic. An inverse relationship between telehealth usage and the increasing number of medical comorbidities was shown (OR= 0.76, p= 0.023). Respondents using messaging or video telehealth usage were more likely recommend virtual visits than those who used audio calls (OR= 0.49, p= 0.024). Overall, there was general satisfaction with telehealth usage and respondents found telehealth to be equally effective to in-person visits. CONCLUSIONS Telehealth usage increased dramatically and was found to be acceptable though less so if there were other comorbidities; however, further innovation to increase telehealth acceptability is needed if this is to have greater future utility in healthcare delivery.

scholarly journals The impact of using online social media networks on employees’ productivity in higher educational institutions

2020 ◽  
pp. 381-388
Author(s):  
Khaled Salmen Aljaaidi
Keyword(s):  
Social Media ◽  
Positive Impact ◽  
Work Place ◽  
Ministry Of Education ◽  
Policy Makers ◽  
Social Media Networks ◽  
Work Related ◽  
Related Information ◽  
Online Social Media ◽  
The Impact

The purpose of this study was to examine the impact of the online social media networks (OSMNs) on productivity at workplace among 88 administrative staff at Prince Sattam bin Abdulaiziz University for the academic year 2020-2021. This study finds that using online social media networks by PSAU’s employees at the workplace enhances their productivity. The majority of the employees (59%) perceive that using the OSMNs at workplace have a positive impact on their productivity. In addition, the majority of the employees (33%) regu-larly use WhatsApp as a useful online social media network at the workplace. The results also indicate that the majority of the employees (66%) use the OSMNs at workplace more than once a day. Further, the majority of the PSAU’s employees (39%) use the OSMNs at work-place less than half an hour per a day. Furthermore, 39% of the PSAU’s employees use the OSMNs at workplace to keep in touch with their families and friends, and 34% of the employees use the OSMNs to search for work-related information. The results of this study should be useful to policy makers in Saudi Arabia at the country, ministry of education, PSAU, and elsewhere in gaining a deeper understanding on how using the OSMNs at work-place can enhances the employees’ productivity.

scholarly journals Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment

2020 ◽  
Vol 34 (01) ◽  
pp. 346-353 ◽  
Author(s):  
Mansi Agarwal ◽  
Maitree Leekha ◽  
Ramit Sawhney ◽  
Rajiv Ratn Shah
Keyword(s):  
Social Media ◽  
Damage Assessment ◽  
Damage Identification ◽  
Detection System ◽  
Learning Performance ◽  
Social Media Data ◽  
Online Social Media ◽  
Assessment Performance ◽  
The Impact ◽  
Media Data

In times of a disaster, the information available on social media can be useful for several humanitarian tasks as disseminating messages on social media is quick and easily accessible. Disaster damage assessment is inherently multi-modal, yet most existing work on damage identification has focused solely on building generic classification models that rely exclusively on text or image analysis of online social media sessions (e.g., posts). Despite their empirical success, these efforts ignore the multi-modal information manifested in social media data. Conventionally, when information from various modalities is presented together, it often exhibits complementary insights about the application domain and facilitates better learning performance. In this work, we present Crisis-DIAS, a multi-modal sequential damage identification, and severity detection system. We aim to support disaster management and aid in planning by analyzing and exploiting the impact of linguistic cues on a unimodal visual system. Through extensive qualitative, quantitative and theoretical analysis on a real-world multi-modal social media dataset, we show that the Crisis-DIAS framework is superior to the state-of-the-art damage assessment models in terms of bias, responsiveness, computational efficiency, and assessment performance.

Towards an understanding of Twitter networks: The case of the state of Mexico

First Monday ◽  
2018 ◽  
Author(s):  
Rodrigo Sandoval-Almazán ◽  
David Valle-Cruz
Keyword(s):  
Social Media ◽  
The State ◽  
Decision Makers ◽  
Online Social Media ◽  
State Of The Union ◽  
Network Links ◽  
Social Media Platforms ◽  
The Impact ◽  
Networked Individualism ◽  
Government Promotion

The purpose of this research is to provide some understanding of Twitter Networks, using the data from the Twitter discussion generated on the State of the Union from Governor Eruviel Avila in 2015 and 2016. We analyzed and compared Network Links from tweets of two years, using Netlytic as a mining text tool. This research presents two contributions: 1) the links analysis perspective of social media; and, 2) we proposes a methodology to assess the impact of online social media and government promotion. Our findings suggest that citizens use social media platforms to interact with politicians in offices, and supports the argument about “networked individualism” in which analyzed Twitter accounts reveal many citizens’ opinions and retweets related to the governor’s use of YouTube for his State of the Union speech. Decision-makers can use this study to improve communication with their customers (public) and allocate resources effectively for better public services. Finally, the last trend has tried to understand content analysis by wording. There is a lack of research about network links, their quality and users that are part of such network to understand in an integrated perspective the impact of social media.

Examining the impact of an online social media challenge on participant physical activity and body weight in the United States

2016 ◽  
Vol 19 (10) ◽  
pp. 1690-1702 ◽  
Author(s):  
Sarah B. Hales ◽  
Breănna Grant ◽  
Daheia J. Barr-Anderson ◽  
Gabrielle M. Turner-McGrievy
Keyword(s):  
Physical Activity ◽  
United States ◽  
Social Media ◽  
Body Weight ◽  
The United States ◽  
Online Social Media ◽  
The Impact

scholarly journals IMPACT OF NIGERIA SOCIAL MEDIA INFLUENCERS ON THEIR FOLLOWERS IN ONLINE COMMUNITY

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Olatilewa Olaojo
Keyword(s):  
Social Media ◽  
Personality Traits ◽  
Online Community ◽  
Communication Strategy ◽  
Social Characteristics ◽  
Online Social Media ◽  
Significant Difference ◽  
Communication Ability ◽  
The Difference ◽  
The Impact

The main aim of this research was to investigate the Nigerian influencers and their influence on their followers in an online community – Twitter. The study adopted a mixed method comprising of online social media followers and a content analysis of influencers’ posts across three themes of interest: marketing, political and advocacy. The specific objectives of the study were to: (i) determine whether influencers with high personality attributes exert more significant influence on their followers than those with low personality traits; (ii) determine whether influencers with high personality traits and social characteristics have more significant reliability and thus exert greater influence on their followers than those with lower personality traits, social attributes and lower credibility; (iii) examine if there is a significant relationship between influencers’ communication ability and the impact they have on their followers; and (iv) examine the difference between the level of impact that political influencers have on their followers than marketing influencers. Data were analyzed using descriptive and inferential statistics at 0.05 significance. The findings of the study were that: (i) the frequently used communication strategy employed by the influencers is informative (6, 42.9%) to influence their followers; (ii) personality attributes of all categories of influencers had a significant effect on the extent of influence their online activities exert on their followers; and there was no significant difference between the level of impact political influencers had on their followers compared to what marketing influencers had on theirs. The study therefore recommended that media literacy among youths should be enhanced to increase their capacity for following influencers reasonably.

scholarly journals Impact of online social media on consumers’ purchasing intention via social network sites

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Hoang Thi Phuong Thao ◽  
Nguyen Le Thai Hoa
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Sites ◽  
Purchasing Behavior ◽  
Measurement Scales ◽  
Media Usage ◽  
Digital Era ◽  
Online Social Media ◽  
Purchasing Intention ◽  
The Impact

With the continuous development of the internet and e-commerce in Vietnam recently, there is much research on online purchasing behaviors through retail websites. However, there are few studies on consumers’ purchasing behavior via social network sites (SNS) despite a rapid increase in the use of such websites. This study, therefore, tries to build a research model describing (i) the impact of motivations of using SNSs on social e-WOM and (ii) the relationship among social e-WOM, consumers’ trust, attitude and purchasing intention via SNSs. After adjusting the measurement scales by a focus group’s discussion, a quantitative survey was executed using the data collected from 509 SNS users and by testing Cronbach’s Alpha reliability, EFA, CFA, and SEM to comment seven proposed hypotheses. The results showed that motivations of social media usage (utilitarian and hedonic) had positively impacted on social e-WOW, social e-WOW influenced positively consumers’ trust and attitude towards brands of goods/service on SNSs, and that both consumers’ trust and attitude had positive impacts on their purchasing intention. Accordingly, the study suggested some practical implications for managers to adjust their social communication strategies in the digital era.

scholarly journals Analysing How the Shift in Discourses on Social Media Affected the Narrative Around the Indian General Election 2019

2020 ◽  
Vol 3 (1) ◽  
pp. 21-31
Author(s):  
Devansh Manu ◽  
Radhika Krishnan ◽  
Ponnurangam Kumaraguru
Keyword(s):  
Social Media ◽  
Political Parties ◽  
Prime Minister ◽  
General Election ◽  
Online Social Media ◽  
Global Trend ◽  
Monthly Changes ◽  
The Impact ◽  
Over Time ◽  
Selection Of

The Lok Sabha Elections 2019 in the world’s largest democracy, India, was the biggest electoral event on the planet. These elections are key in the selection of the Prime Minister, the highest authority in the cabinet. Keeping in pace with the global trend, the Indian elections saw a very prominent use of Online Social Media by political parties to create a major discourse around the event. We focus our study on Twitter, collecting over 45 Million tweets, tracking more than 3500 hashtags and over 2500 political handles while monitoring their network interactions. In this work, we have analysed tweets from all these political handles to see how narratives were shaped and altered over time. We study these narratives formed by the party already in power and how they were supported or challenged by other parties. Spanning over 5 months, January to May 2019, we analysed the monthly changes in the rhetoric created by the leading political parties and leaders. We then discern the impact of these changes on existing narratives during the campaigning and the elections.

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