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Understanding Mobile Money Grievances from Tweets
Access to financial services through a mobile phone, known as Mobile Financial Services (MFS), creates an opportunity to expand the reach of financial services to the 1.7 billion unbanked adults worldwide. Nevertheless, MFS adoption has been inconsistent, which motivates a need to identify the chall...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
ACM Digital Library
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020815/ http://dx.doi.org/10.1145/3287098.3287123 |
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author | Shah, Kushal Mare, Shrirang Anderson, Richard |
author_facet | Shah, Kushal Mare, Shrirang Anderson, Richard |
author_sort | Shah, Kushal |
collection | PubMed |
description | Access to financial services through a mobile phone, known as Mobile Financial Services (MFS), creates an opportunity to expand the reach of financial services to the 1.7 billion unbanked adults worldwide. Nevertheless, MFS adoption has been inconsistent, which motivates a need to identify the challenges that MFS users confront in different countries. In this work, we explore the Twitter as a potential data source to understand such challenges. More broadly, we assess whether (and how) publicly available Twitter data can augment the findings of expensive, large-scale research studies on MFS barriers. Our Qualitative Content Analysis of 9,000 mobile money grievance tweets that were extracted from 54 MFS customer care twitter feeds across six countries reveals service and access issues, incorrect transactions, and fraud as three main challenges MFS users report on Twitter. We discuss the nuances around these challenges and the substantial differences between the common issues reported in different countries. Ultimately, we conclude that Twitter data can elucidate the challenges of MFS adoption and also that it can augment the results of other types of MFS studies. CCS CONCEPTS: • Human-centered computing Human computer interaction (HCI); Social media; • Applied computing Sociology; |
format | Online Article Text |
id | pubmed-8020815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | ACM Digital Library |
record_format | MEDLINE/PubMed |
spelling | pubmed-80208152021-04-05 Understanding Mobile Money Grievances from Tweets Shah, Kushal Mare, Shrirang Anderson, Richard ICTD Articles Access to financial services through a mobile phone, known as Mobile Financial Services (MFS), creates an opportunity to expand the reach of financial services to the 1.7 billion unbanked adults worldwide. Nevertheless, MFS adoption has been inconsistent, which motivates a need to identify the challenges that MFS users confront in different countries. In this work, we explore the Twitter as a potential data source to understand such challenges. More broadly, we assess whether (and how) publicly available Twitter data can augment the findings of expensive, large-scale research studies on MFS barriers. Our Qualitative Content Analysis of 9,000 mobile money grievance tweets that were extracted from 54 MFS customer care twitter feeds across six countries reveals service and access issues, incorrect transactions, and fraud as three main challenges MFS users report on Twitter. We discuss the nuances around these challenges and the substantial differences between the common issues reported in different countries. Ultimately, we conclude that Twitter data can elucidate the challenges of MFS adoption and also that it can augment the results of other types of MFS studies. CCS CONCEPTS: • Human-centered computing Human computer interaction (HCI); Social media; • Applied computing Sociology; ACM Digital Library 2019-01-04 2019-01 /pmc/articles/PMC8020815/ http://dx.doi.org/10.1145/3287098.3287123 Text en © 2019 Copyright held by the owner/author(s). http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution International 4.0 License. |
spellingShingle | Articles Shah, Kushal Mare, Shrirang Anderson, Richard Understanding Mobile Money Grievances from Tweets |
title | Understanding Mobile Money Grievances from Tweets |
title_full | Understanding Mobile Money Grievances from Tweets |
title_fullStr | Understanding Mobile Money Grievances from Tweets |
title_full_unstemmed | Understanding Mobile Money Grievances from Tweets |
title_short | Understanding Mobile Money Grievances from Tweets |
title_sort | understanding mobile money grievances from tweets |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020815/ http://dx.doi.org/10.1145/3287098.3287123 |
work_keys_str_mv | AT shahkushal understandingmobilemoneygrievancesfromtweets AT mareshrirang understandingmobilemoneygrievancesfromtweets AT andersonrichard understandingmobilemoneygrievancesfromtweets |