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Investigating transportation research based on social media analysis: a systematic mapping review

Social media is a pool of users’ thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation n...

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Autores principales: Zayet, Tasnim M. A., Ismail, Maizatul Akmar, Varathan, Kasturi Dewi, Noor, Rafidah M. D., Chua, Hui Na, Lee, Angela, Low, Yeh Ching, Singh, Sheena Kaur Jaswant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222706/
https://www.ncbi.nlm.nih.gov/pubmed/34188335
http://dx.doi.org/10.1007/s11192-021-04046-2
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author Zayet, Tasnim M. A.
Ismail, Maizatul Akmar
Varathan, Kasturi Dewi
Noor, Rafidah M. D.
Chua, Hui Na
Lee, Angela
Low, Yeh Ching
Singh, Sheena Kaur Jaswant
author_facet Zayet, Tasnim M. A.
Ismail, Maizatul Akmar
Varathan, Kasturi Dewi
Noor, Rafidah M. D.
Chua, Hui Na
Lee, Angela
Low, Yeh Ching
Singh, Sheena Kaur Jaswant
author_sort Zayet, Tasnim M. A.
collection PubMed
description Social media is a pool of users’ thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation network and their complaints, in addition to the traffic situation, road conditions, events detection and many others. The problem is in how to utilize social media data to achieve one or more of these targets. A systematic review was conducted in the field of transportation-related research based on social media analysis (TRR-SMA) from the years between 2008 and 2018; 74 papers were identified from an initial set of 703 papers extracted from 4 digital libraries. This review will structure the field and give an overview based on the following grounds: activity, keywords, approaches, social media data and platforms and focus of the researches. It will show the trend in the research subjects by countries, in addition to the activity trends, platforms usage trend and others. Further analysis of the most employed approach (Lexicons) and data (text) will be also shown. Finally, challenges and future works are drawn and proposed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11192-021-04046-2.
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spelling pubmed-82227062021-06-25 Investigating transportation research based on social media analysis: a systematic mapping review Zayet, Tasnim M. A. Ismail, Maizatul Akmar Varathan, Kasturi Dewi Noor, Rafidah M. D. Chua, Hui Na Lee, Angela Low, Yeh Ching Singh, Sheena Kaur Jaswant Scientometrics Article Social media is a pool of users’ thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation network and their complaints, in addition to the traffic situation, road conditions, events detection and many others. The problem is in how to utilize social media data to achieve one or more of these targets. A systematic review was conducted in the field of transportation-related research based on social media analysis (TRR-SMA) from the years between 2008 and 2018; 74 papers were identified from an initial set of 703 papers extracted from 4 digital libraries. This review will structure the field and give an overview based on the following grounds: activity, keywords, approaches, social media data and platforms and focus of the researches. It will show the trend in the research subjects by countries, in addition to the activity trends, platforms usage trend and others. Further analysis of the most employed approach (Lexicons) and data (text) will be also shown. Finally, challenges and future works are drawn and proposed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11192-021-04046-2. Springer International Publishing 2021-06-24 2021 /pmc/articles/PMC8222706/ /pubmed/34188335 http://dx.doi.org/10.1007/s11192-021-04046-2 Text en © Akadémiai Kiadó, Budapest, Hungary 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Zayet, Tasnim M. A.
Ismail, Maizatul Akmar
Varathan, Kasturi Dewi
Noor, Rafidah M. D.
Chua, Hui Na
Lee, Angela
Low, Yeh Ching
Singh, Sheena Kaur Jaswant
Investigating transportation research based on social media analysis: a systematic mapping review
title Investigating transportation research based on social media analysis: a systematic mapping review
title_full Investigating transportation research based on social media analysis: a systematic mapping review
title_fullStr Investigating transportation research based on social media analysis: a systematic mapping review
title_full_unstemmed Investigating transportation research based on social media analysis: a systematic mapping review
title_short Investigating transportation research based on social media analysis: a systematic mapping review
title_sort investigating transportation research based on social media analysis: a systematic mapping review
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222706/
https://www.ncbi.nlm.nih.gov/pubmed/34188335
http://dx.doi.org/10.1007/s11192-021-04046-2
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