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

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.

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

2016 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2016.7841058 ◽

2016 ◽

Cited By ~ 3

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

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

International Journal of Computer Applications ◽

10.5120/ijca2016911891 ◽

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

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Issues of Social Data Analytics with a New Method for Sentiment Analysis of Social Media Data

2014 IEEE 6th International Conference on Cloud Computing Technology and Science ◽

10.1109/cloudcom.2014.40 ◽

2014 ◽

Cited By ~ 13

Author(s):

Zhaoxia Wang ◽

Victor Joo ◽

Chuan Tong ◽

David Chan

Keyword(s):

Social Media ◽

Sentiment Analysis ◽

Data Analytics ◽

New Method ◽

Social Data ◽

Social Media Data ◽

Media Data

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A Review on Big Data Analytics Via Social Media

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit195149 ◽

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.

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EXPRESS: “Get a £10 Free Bet Every Week!” – Gambling Advertising on Twitter: Volume, Content, Followers, Engagement and Regulatory Compliance

Journal of Public Policy & Marketing ◽

10.1177/0743915621999674 ◽

2021 ◽

pp. 074391562199967

Author(s):

Raffaello Rossi ◽

Agnes Nairn ◽

Josh Smith ◽

Christopher Inskip

Keyword(s):

Social Media ◽

Big Data ◽

Content Analysis ◽

Volume Content ◽

Data Analytics ◽

Big Data Analytics ◽

Regulatory Compliance ◽

The Internet ◽

Policy Recommendations ◽

Policy Makers

The internet raises substantial challenges for policy makers in regulating gambling harm. The proliferation of gambling advertising on Twitter is one such challenge. However, the sheer scale renders it extremely hard to investigate using conventional techniques. In this paper the authors present three UK Twitter gambling advertising studies using both Big Data analytics and manual content analysis to explore the volume and content of gambling adverts, the age and engagement of followers, and compliance with UK advertising regulations. They analyse 890k organic adverts from 417 accounts along with data on 620k followers and 457k engagements (replies and retweets). They find that around 41,000 UK children follow Twitter gambling accounts, and that two-thirds of gambling advertising Tweets fail to fully comply with regulations. Adverts for eSports gambling are markedly different from those for traditional gambling (e.g. on soccer, casinos and lotteries) and appear to have strong appeal for children, with 28% of engagements with eSports gambling ads from under 16s. The authors make six policy recommendations: spotlight eSports gambling advertising; create new social-media-specific regulations; revise regulation on content appealing to children; use technology to block under-18s from seeing gambling ads; require ad-labelling of organic gambling Tweets; and deploy better enforcement.

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