Mapping the Twitterverse in the Developing World: An Analysis of Social Media Use in Nigeria

Fink, Clayton; Kopecky, Jonathon; Bos, Nathan; THOMAS, M

doi:10.1007/978-3-642-29047-3_20

Cited by 10 publications

(5 citation statements)

References 1 publication

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“…Availability of Twitter data has contributed to the growth of research in the use of the platform for brand communications (Ananda et al, 2015; Arora et al, 2015; Case & King, 2011; Fink et al, 2012; Li et al, 2013; Page, 2014; Rasool et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Twitter-Mediated Enterprise–Customer Communication: Case of Electricity Distribution Services in a Developing Country

Opesade

2021

Social Science Computer Review

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Studies have shown that electric power supply failures can induce customers’ use of media for electric power–related communications. Nigeria is a country with considerably active users of social media but also with incessant electric power outages. However, no known study has been carried out on Nigeria’s electric power–related communications based on social media data. The present study investigated comparatively, the behaviors of companies and customers, in their use of Twitter for enterprise–customer communication on electric power distribution services in Nigeria. Using the data-driven science methods, the study revealed that both companies and customers use Twitter to disseminate information on electric power distribution in Nigeria. Companies’ corpora feature higher percentages of retweets while customers’ corpora feature higher percentages of direct public responses (@replies). The study also revealed a disjoint in the expectations of the companies and customers in their use of Twitter for communicating electric power distribution matters. While companies appear to leverage on the information sharing ability of the medium, customers appear to perceive it as a tool for accessing improved service delivery. The study recommends that Nigeria’s electric power distribution companies should incorporate Twitter into the customer service operation of their companies. This will enable information to get to the set of people who will process customers’ complaints as soon as possible.

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Section: Literature Reviewmentioning

confidence: 99%

Twitter-Mediated Enterprise–Customer Communication: Case of Electricity Distribution Services in a Developing Country

Opesade

2021

Social Science Computer Review

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“…As our dataset does not come with tribal affiliations to start with, we first create a classifier to identify affiliations on the basis of name. Due to cultural norms in Nigeria, individual's names often reveal their tribal affiliation (Rao et al, 2011;Fink et al, 2012), which lends itself to developing computational methods for distinguishing between the affiliations. Here, we develop a classifier for distinguishing between the three largest tribal affiliations: Hausa-Falani (29%), Yoruba (21%), and Igbo (21%), which together account for over 71% of the population thereby providing solid coverage of online users.…”

Section: A a Classifier For Tribal Affiliationmentioning

confidence: 99%

“…Article Author Commenter Our method 0.81 0.68 majority class 0.12 0.17 random 0.24 0.21 Table 3. While absolute performance on article authors is on par with similar approaches to classifying tribal affiliation (Rao et al, 2011;Fink et al, 2012), which applied their classifiers to clean name data. Performance on commenter names is slightly lower due noise from lexical variation, misspellings, and web extraction.…”

Section: Modelmentioning

confidence: 99%

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Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions

Ndubuisi-Obi¹,

Ghosh

Jurgens

2019

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

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Multilingual individuals code switch between languages as a part of a complex communication process. However, most computational studies have examined only one or a handful of contextual factors predictive of switching. Here, we examine Naijá-English code switching in a rich contextual environment to understand the social and topical factors eliciting a switch. We introduce a new corpus of 330K articles and accompanying 389K comments labeled for code switching behavior. In modeling whether a comment will switch, we show that topic-driven variation, tribal affiliation, emotional valence, and audience design all play complementary roles in behavior.

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“…Another limitation was that the sample represents general merchants retailing, specialty retailing and agency retailing and only 33 of the mobile commerce retailers were available for this study. According to Fink et al (2012), social media is a viable means of getting enriching social and cultural data for studying the developing nations. Future studies should endeavour to examine online reviews of social media such as Twitter, Instagram, Google+ and Pinterest regarding mobile commerce as a comparative study.…”

Section: Conclusion and Implicationmentioning

confidence: 99%

Designing and Implementing Common Market for Cross-Game Purchases between Mobile Games

Siira¹,

Annanperä²,

Simola³

et al. 2017

Digital Transformation – From Connecting Things to Transforming Our Lives

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This paper focuses on the design and development of a noninvasive smart and pervasive mobile solution to measure blood glucose without the need for drawing blood or pricking fingers. Specifically, it examines the possibility of sensors using Terahertz (THz) technology to measure blood glucose. This paper reports on a research in progress looking at identifying and then designing superior strategies for measuring blood glucose. It presents the central role that measuring blood glucose plays in diabetes care management. It then highlights the current methods and problems and concerns with finger pricking. From there, the paper proffers a non-invasive solution using THz technology to measure blood glucose and outlines the approach to design and develop such a solution using a decision science methodology.

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Mapping the Twitterverse in the Developing World: An Analysis of Social Media Use in Nigeria

Cited by 10 publications

References 1 publication

Twitter-Mediated Enterprise–Customer Communication: Case of Electricity Distribution Services in a Developing Country

Twitter-Mediated Enterprise–Customer Communication: Case of Electricity Distribution Services in a Developing Country

Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions

Designing and Implementing Common Market for Cross-Game Purchases between Mobile Games

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