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Dataset on usage and engagement patterns for Facebook Live sellers in Thailand
This article describes a Comma Separated Values (CSV) dataset consisting of 7050 Facebook posts of various types (text, deferred and live videos, images). These posts were extracted from the Facebook pages of 10 Thai fashion and cosmetics retail sellers from March 2012, to June 2018. The dataset was...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218155/ https://www.ncbi.nlm.nih.gov/pubmed/32420434 http://dx.doi.org/10.1016/j.dib.2020.105661 |
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author | Dehouche, Nassim |
author_facet | Dehouche, Nassim |
author_sort | Dehouche, Nassim |
collection | PubMed |
description | This article describes a Comma Separated Values (CSV) dataset consisting of 7050 Facebook posts of various types (text, deferred and live videos, images). These posts were extracted from the Facebook pages of 10 Thai fashion and cosmetics retail sellers from March 2012, to June 2018. The dataset was collected via the Facebook API, and anonymized in compliance with the Facebook Platform Policy for Developers [1]. For each Facebook post, the dataset records the resulting engagement metrics comprising shares, comments, and emoji reactions within which we distinguish traditional “likes” from recently introduced emoji reactions, that are “love”, “wow”, “haha”, “sad” and “angry”. This dataset could serve as a basis for research on customer engagement with the novel sales channel that is Facebook Live, through comparative studies with other forms of content (text, deferred videos, and images), as well as the statistical analysis of the seasonality of engagement and outlier posts. |
format | Online Article Text |
id | pubmed-7218155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72181552020-05-15 Dataset on usage and engagement patterns for Facebook Live sellers in Thailand Dehouche, Nassim Data Brief Business, Management and Accounting This article describes a Comma Separated Values (CSV) dataset consisting of 7050 Facebook posts of various types (text, deferred and live videos, images). These posts were extracted from the Facebook pages of 10 Thai fashion and cosmetics retail sellers from March 2012, to June 2018. The dataset was collected via the Facebook API, and anonymized in compliance with the Facebook Platform Policy for Developers [1]. For each Facebook post, the dataset records the resulting engagement metrics comprising shares, comments, and emoji reactions within which we distinguish traditional “likes” from recently introduced emoji reactions, that are “love”, “wow”, “haha”, “sad” and “angry”. This dataset could serve as a basis for research on customer engagement with the novel sales channel that is Facebook Live, through comparative studies with other forms of content (text, deferred videos, and images), as well as the statistical analysis of the seasonality of engagement and outlier posts. Elsevier 2020-05-06 /pmc/articles/PMC7218155/ /pubmed/32420434 http://dx.doi.org/10.1016/j.dib.2020.105661 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Business, Management and Accounting Dehouche, Nassim Dataset on usage and engagement patterns for Facebook Live sellers in Thailand |
title | Dataset on usage and engagement patterns for Facebook Live sellers in Thailand |
title_full | Dataset on usage and engagement patterns for Facebook Live sellers in Thailand |
title_fullStr | Dataset on usage and engagement patterns for Facebook Live sellers in Thailand |
title_full_unstemmed | Dataset on usage and engagement patterns for Facebook Live sellers in Thailand |
title_short | Dataset on usage and engagement patterns for Facebook Live sellers in Thailand |
title_sort | dataset on usage and engagement patterns for facebook live sellers in thailand |
topic | Business, Management and Accounting |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218155/ https://www.ncbi.nlm.nih.gov/pubmed/32420434 http://dx.doi.org/10.1016/j.dib.2020.105661 |
work_keys_str_mv | AT dehouchenassim datasetonusageandengagementpatternsforfacebooklivesellersinthailand |