Book Review: Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A          Revolution That Will Transform How We Live, Work and Think

Jacob, Wallace

doi:10.1177/0972262914528606

Cited by 2 publications

(1 citation statement)

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“…This potential for community restructuring has also been recognized by the mainstream media and has been widely discussed. The New York Times, for example, published "The Age of Big Data" [25] and published books on how big data transforms our way of life, work, and thinking [26].…”

Section: Big Datamentioning

confidence: 99%

Big Data-aware News Recommendation System According to Regional Twitter Users’ Interests

Bagheri¹,

Jamali²,

Fotohi³

2021

Preprint

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Nowadays with the development of technology and access to the Internet everywhere for everyone, the interest to get the news from newspapers and other traditional media is decreasing. Therefore, the popularity of news websites is ascending as the newspapers are changing into electronic versions. News websites can be accessed from anywhere, i.e., any country, city, region, etc. So, the need to present the news depends on where the reader is from can be a research area, as with facing with variety of news topics on websites readers prefer to choose those which more often show the news, they are interested in on their home pages. Based on this idea we represent the technique to find favorite topics of Twitter users of certain geographical districts to provide news websites a way of increasing popularity. In this work we processed tweets. It seems that tweets are some small data, but we found out that processing this small data needs a lot of time, due to the repetition of the algorithm a lot and many searches to be done. Therefore, we categorized our work as big data. To help this problem we developed our work in the Spark framework. Our technique includes 2 phases; Feature Extraction Phase and Topic Discovery Phase. Our analysis shows that with this technique we can get the accuracy between 68% and 76%, in 3 developments 3-fold, 5-fold, and 10-fold.

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Section: Big Datamentioning

confidence: 99%

Big Data-aware News Recommendation System According to Regional Twitter Users’ Interests

Bagheri¹,

Jamali²,

Fotohi³

2021

Preprint

View full text Add to dashboard Cite

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Information is Power, Technology is Apropos and Food Security is a Must in Africa in the Post COVID-19 African States

Agunyai,

Amusan,

Phago

2024

EHASS

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This paper examines the impact of new media information technology on food security. It specifically determines the extent to which new media technologies such as Instagram, Twitter/X, LinkedIn, WhatsApp, and many more, are agents of development and underdevelopment in food security in Africa. Drawing on systematic qualitative method, thus study assesses how new media technologies have posed positive and negative threats to food security in Africa. The findings showed that while new media technologies have aided food productivity, availability, and accessibility, the same cannot be said about food quality and utilization. The findings indicated that technology has enabled farmers to detect, adapt, and navigate dangerous climate change. However, it showed that the same new media technologies, through advertisement have been used to make huge profits at the expense of the good health of consumers, who are deceptively forced to consume unhealthy food produced through the means of Genetic Modified Organisms (GMOs). The paper recommends more organic food production through the use of new media technologies with more humane initiatives in Africa. It also recommends that food standardization and regulation agencies in African countries should create nationwide awareness, through new media technologies against the consumption of GMO foods that could impair their general well-being. This paper contributes and deepens knowledge on how farmers can detect and adapt to climate change for food security, using digitalized new media technologies in Africa. Keywords: Food security, Africa, New media, CSR, Agenda setting, Agroecology

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Book Review: Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work and Think

Abstract: Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work and Think. New Delhi: John Murray (Publishers), An Hachette UK Company, 2013, 242 pp. , ₹499. ISBN: 9781848547902 (Hardback).

Cited by 2 publications

References 0 publications

Big Data-aware News Recommendation System According to Regional Twitter Users’ Interests

Big Data-aware News Recommendation System According to Regional Twitter Users’ Interests

Information is Power, Technology is Apropos and Food Security is a Must in Africa in the Post COVID-19 African States

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