The document discusses the concept of big data, particularly in the context of social media, highlighting its characteristics such as volume, variety, and velocity. It notes that social media platforms generate massive amounts of data daily, which can be analyzed for consumer behavior and marketing strategies. Various scholarly sources referenced within the document illustrate how big data analytics is being utilized across different fields, presenting both the opportunities and challenges associated with processing and leveraging this data.

1. RUNNING HEAD: BIG DATA IN SOCIAL MEDIA
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BIG DATA IN SOCIAL MEDIA
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Big Data in Social Media
By definition, Big Data can simply be termed as voluminous
data. In more specific definitions, it can be termed as that which
is large, complex and fast and a s a result, is not in a position to
be processed using the typical traditional methods of data
processing. The volume, variety, velocity, variability and
veracity are used in the categorizing of data as big data. With
the development in technology, and the continued incorporation
of these technological sources into our day to day lives, the
collected data through the Internet of Things among other
information systems has resulted in big data (Ivanov, 2018).
One such areas where Big data is found is in the social media
platforms. As opposed to the olden days, currently, more and
more people and companies are using social media daily to

2. achieve their specific objectives and goals, it is estimated that
social media platforms like Facebook produce data as big as
500+ terabytes in a s ingle day!
Most of these data in the social media are as a result of the
videos, photos, messages and comments being shared across the
media platforms. Not only do individuals use social media to
keep in touch, but companies also use it in a concept called
social media marketing. Through the media, and using big data
analytics, companies are able to map out consumer behavior
through what they like and what they share (Nicora, 2019).
They use these platforms to reach their target audiences and at
the same time use them to get feedback from their clients. As a
result, the amount of data from social media platforms is not
only voluminous, it is also heterogenous in the sense that it
contains both nominal and numeral values from different places,
it is variable in that it has unpredictable flow, it is fast because
it is collected in real time. This qualifies the data to be Big Data
and requires big data analytics to process.
References
Ivanov I. (2018) What is Big Data Analytics on Social Media?
Iocowise. Retrieved from https://locowise.com/blog/what-
is-big-data-analytics-on-social-media
Nicora R. (2019) How is big data impacting social media?
Medium. Retrieved from https://medium.com/dative-io/how-is-
big-data-impacting-social-media-df31aa3f66f6
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GEN103: Information Literacy
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Running Head: BIG DATA 1
BIG DATA 5
Annotated Bibliography on Big Data
Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016). Social big

6. data: Recent achievements and new challenges. Information
Fusion, 28, 45-59.
https://www.sciencedirect.com/science/article/pii/S1566253515
000780
The authors and the researchers of this article focus on various
areas through which big data is used. Some of the fields that are
discussed by the author include extraction of data, machine
learning, artificial intelligence, data integration, semantic web
and the social networks. However, they narrow it down to the
challenges that big data is experiencing as a result data in social
media and social networks. The authors present new
methodologies which are designed to allow data mining and the
integration of information in social media in various
applications. Through the article, authors illustrates the
challenges drawn in data processing, storage, presentation, and
how the data can be utilized in various fields to analyse
behaviours, visualize as well as track data.
Ghani, N. A., Hamid, S., Hashem, I. A. T., & Ahmed, E. (2019).
Social media big data analytics: A survey. Computers in Human
Behavior, 101, 417-428.
https://www.sciencedirect.com/science/article/pii/S0747563218
30414X
This article discusses how big data analytics has developed to
be a research arena that has been increased by the development
of the internet and advent of the web 2.0 tech. There is massive
data generation by social media users as a result of
incorporation of their back ground facts and their regular deeds.
The purpose of the study based on the authors was to equate
conceivable big data analytics practises and their quality traits.
The authors discuss how application of big data in social media.
They illustrate the methods and qualities of various studies
conducted through social media big data. The authors also
described the big data analytics challenges.
Felt, M. (2016). Social media and the social sciences: How
researchers employ Big Data analytics. Big Data &
Society, 3(1), 2053951716645828.

7. https://journals.sagepub.com/doi/abs/10.1177/205395171664582
8
The authors of this article start by discussing how the social
media columns are rich for prospective data mining and data
scrutiny. The podium provides issue open access to the
platform data which makes it easy to carry out the research. The
author and the researcher of this article focused on how big data
can be used by other researchers to carry out different kinds of
studies through the social media platforms. The article
discusses acute social media info analysis which is joined with
traditional, quantitative techniques in addressing the evolving
data gold rush. The article uses data from twitter where it
compares three free use twitter platforms in capturing the tweets
and enabling analysis.
He, W., Wang, F. K., & Akula, V. (2017). Managing extracted
knowledge from big social media data for business decision
making. Journal of Knowledge Management.
https://www.emerald.com/insight/content/doi/10.1108/JKM-07-
2015-
0296/full/html?casa_token=pJyouucalIoAAAAA:acDKKDLT33a
s9r6skOk1Cn_ZYHe-f-
Ez11gCKXiLVGX1EPnNie52BH1yfWjzot_WSgvcnsYEoekhJazl
u_0wpJW-tPQtPySTC4qS1i4kPzlIutbBhyiv3A
The authors and the researchers focus on info administration
framework for leveraging the social media thus helping
organizations through the decision making process. The
researchers focus on how big data is used by organization
through various social media platforms. The research of this
study was conducted through case study by analysing one
million twitter communications across five firms. The
researchers found the sense and the purpose of assimilating big
data tech and social media to a KM system and its process. The
article illustrates how the companies can use the big data
technologies to extract valuable information on social media
through comparing the social media info to the rivals.
Moessner, M., Feldhege, J., Wolf, M., & Bauer, S. (2018).

8. Analyzing big data in social media: Text and network analyses
of an eating disorder forum. International Journal of Eating
Disorders, 51(7), 656-667.
https://onlinelibrary.wiley.com/doi/abs/10.1002/eat.22878?casa
_token=o5YxvuoEhA4AAAAA:RQPUfgTIKI-
i2x3c2E3GfTvSadV49DimnXc6K_txD4BmsU9pZOhrLtjNTpZ-
ibdE8mwotqVurHhRr4jOVg
This article focuses on big data in social media. They also focus
on the negative impacts it has on the main users of the social
media who are the young people. Researchers conducted a
research on the adverse consequences of social media in relation
to the negative impacts of eating disorders. According of the
authors they used data mining methods, computer content study
and network examination to carry out the research. The network
analysis described the overall communication patters
identifying community organizations involving the influential
users in the communities. The research was conducted based on
4,247 posts and 34,118 remarks that were made by 3,029 users.
This article is an illustration of a research on social big data.
Through this article I can base my discussion in the research on
how big data can be used to carry out studies.
Sivarajah, U., Irani, Z., Gupta, S., & Mahroof, K. (2019). Role
of big data and social media analytics for business to business
sustainability: A participatory web context. Industrial
Marketing Management.
https://www.sciencedirect.com/science/article/pii/S0019850118
305236
This article has been used to demonstrate the role that big data
and social media plays in business analysis thus contributing to
the sustainability of the business. The article exhibits the
aptitude of big data and the social media analytics with involves
web setting. It permit the B2B organization to increase its
revenues and creates business sustainability in the firms. This
research is useful for both academic and management of
companies to create deeper understanding of how the web tools
led to business sustainability.