scholarly journals TV ratings vs. social media engagement: Big social data analytics of the Scandinavian TV talk show Skavlan

2016 ◽  
Author(s):  
Henrikke Hovda Larsen ◽  
Johanna Margareta Forsberg ◽  
Sigrid Viken Hemstad ◽  
Raghava Rao Mukkamala ◽  
Abid Hussain ◽  
...  
Keyword(s):  
Social Media ◽  
Data Analytics ◽  
Social Data ◽  
Talk Show ◽  
Social Media Engagement ◽  
Tv Ratings ◽  
Tv Talk Show

scholarly journals Legal frameworks governing social data analytics and privacy concerns among social media users

2019 ◽  
Author(s):  
◽  
Youssef Ramzi Mansour
Keyword(s):  
Social Media ◽  
Data Analytics ◽  
Personal Information ◽  
The Internet ◽  
Social Data ◽  
Privacy Concerns ◽  
New Era ◽  
Statistical Studies ◽  
Legal Frameworks ◽  
Support Decision Making

Big data is a relatively new concept that refers to the enormous amount of data generated in a new era where people are selling, buying, paying dues, managing their health and communicating over the internet. It becomes natural that generated data will be analyzed for the purposes of smart advertising and social statistical studies. Social data analytics is the concept of micro-studying users interactions through data obtained often from social networking services, the concept also known as “social mining” offers tremendous opportunities to support decision making through recommendation systems widely used by e-commerce mainly. With these new opportunities comes the problematic of social media users privacy concerns as protecting personal information over the internet has become a controversial issue among social network providers and users. In this study we identify and describe various privacy concerns and related platforms as well as the legal frameworks governing the protection of personal information in different jurisdictions. Furthermore we discuss the Facebook and Cambridge Analytica Ltd incident as an example.

scholarly journals A Study on Social Data Analytics and Privacy Concern among Social Media Users

2016 ◽  
Vol 149 (5) ◽  
pp. 45-49 ◽  
Author(s):  
Yogeswari Suppiah ◽  
Raja Mohd ◽  
Mohd Fahmi
Keyword(s):  
Social Media ◽  
Data Analytics ◽  
Privacy Concern ◽  
Social Data

scholarly journals Big Social Data Analytics in Football: Predicting Spectators and TV Ratings from Facebook Data

2017 ◽  
Author(s):  
Nicolai H. Egebjerg ◽  
Niklas Hedegaard ◽  
Gerda Kuum ◽  
Raghava Rao Mukkamala ◽  
Ravi Vatrapu
Keyword(s):  
Data Analytics ◽  
Social Data ◽  
Tv Ratings

scholarly journals Awareness and Privacy Perceptions among Social Media User towards Social Data Analytics

2016 ◽  
Vol 155 (1) ◽  
pp. 16-21
Author(s):  
Yogeswari Suppiah ◽  
Raja Mohd ◽  
Mohd Fahmi ◽  
Wan Azlan ◽  
Suziyanti Marjudi ◽  
...  
Keyword(s):  
Social Media ◽  
Data Analytics ◽  
Social Data

scholarly journals A Review on Big Data Analytics Via Social Media

2019 ◽  
pp. 299-302
Keyword(s):  
Social Media ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Social Media Analytics ◽  
Data Mapping ◽  
Social Data ◽  
Advantages And Disadvantages ◽  
Business Change ◽  
Social Media Platforms ◽  
The Right

Analytics is very important in all fields in order to make decisions over certain facts. Social media analytics is the process of collecting information from various social media platforms, websites and blogs. These analytics is done to make effective business conclusions. The usage of social media has become the latest trend in today’s world. Social data analytics is not about just collecting likes and comments shared by individuals but it has become the platform for many trademarks to bring out promotion. Applications such as marketing, elections widely used social data to make predictive decisions. Some of the approaches followed are forming hypothesis, getting deep into the data, mapping events etc. These analytics can also be done in applications such as business, Change in amendments, Education, Demonetization etc. The challenges faced are metrics formed by social media should reach the right people, unstructured data being difficult to priestship paper discusses about the model, theme, performance evaluation, advantages and disadvantages under literature survey.

scholarly journals Women's Digital Activism in a Changing Middle East

2015 ◽  
Vol 47 (2) ◽  
pp. 357-361 ◽  
Author(s):  
Annabelle Sreberny
Keyword(s):  
Social Media ◽  
Middle East ◽  
Affirmative Answer ◽  
Digital Activism ◽  
Talk Show ◽  
National Debate ◽  
Tv Talk Show ◽  
Changing Times

An amusing and indicative sign of changing times, in December 2014 Saudi cleric Ahmad ʿAziz al-Ghamdi, a religious scholar and former head of the religious police in Mecca (officially known as the Committee for Promotion of Virtue and Prevention of Vice), ignited a fierce national debate regarding the niqab when he replied positively to a tweet by a Saudi woman asking if it was permissible in Islam for her to post a picture of her face on social media. His affirmative answer went viral and his Twitter feed received more than 10,000 comments, ranging from congratulations to death threats. He subsequently appeared on Badriya, the popular weekly TV talk show broadcast from Dubai, together with his wife, Jawahir bint Shaykh ʿAli, who appeared without a face veil and wearing make-up.

Social media engagement, service complexity, and experiential quality in US hospitals

2020 ◽  
Vol 34 (6) ◽  
pp. 833-845 ◽  
Author(s):  
Youngsu Lee ◽  
Joonhwan In ◽  
Seung Jun Lee
Keyword(s):  
Social Media ◽  
Demographic Data ◽  
Positive Association ◽  
Customer Engagement ◽  
Service Firms ◽  
Multiple Sources ◽  
Cross Sectional ◽  
Content Type ◽  
Social Media Engagement ◽  
Experiential Quality

Purpose As social media platforms become increasingly popular among service firms, many US hospitals have been using social media as a means to improve their patients’ experiences. However, little research has explored the implications of social media use within a hospital context. The purpose of this paper is to investigate a hospital’s customer engagement through social media and its association with customers’ experiential quality. Also, this study examines the role of a hospital’s service characteristics, which could shape the nature of the interactions between patients and the hospital. Design/methodology/approach Data from 669 hospitals with complete experiential quality and demographic data were collected from multiple sources of secondary data, including the rankings of social media friendly hospitals, the Hospital Compare database, the Center for Medicare and Medicaid (CMS) cost report, the CMS impact file, the Healthcare Information and Management Systems Society Analytics database and the Dartmouth Atlas of Health Care. Specifically, the authors designed the instrumental variable estimate to address the endogeneity issue. Findings The empirical results suggest a positive association between a hospital’s social media engagement and experiential quality. For hospitals with a high level of service sophistication, the association between online engagement and experiential quality becomes more salient. For hospitals offering various services, offline engagement is a critical predictor of experiential quality. Research limitations/implications A hospital with more complex services should make efforts to engage customers through social media for better patient experiences. The sample is selected from databases in the US, and the databases are cross-sectional in nature. Practical implications Not all hospitals may be better off improving the patient experience by engaging customers through social media. Therefore, practitioners should exercise caution in applying the study’s results to other contexts and in making causal inferences. Originality/value The current study delineates customer engagement through social media into online and offline customer engagement. This study is based on the theory of customer engagement and reflects the development of mobile technology. Moreover, this research may be considered as pioneering in that it considers the key characteristics of a hospital’s service operations (i.e., service complexity) when discovering the link between customers’ engagement through a hospital’s social media and experiential quality.

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