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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Facebook posts for analyzing Content Strategies for Digital Consumer Engagement: a curated dataset

Authors: Gustavo N. de Sousa; Antonio F. L. Jacob Junior; Fábio M. F. Lobato;

Facebook posts for analyzing Content Strategies for Digital Consumer Engagement: a curated dataset

Abstract

This database contains public data from publications made on Facebook by small and medium companies in the tourism sector operating in the Amazon region in Brazil. The collection was carried out from January to June 2018 using the public API provided by the platform. These data were processed and classified by different evaluators according to the content categories proposed by Gavilanes. Thus, there is a column in the dataset called "category", which contains the classification of each publication, with each number is associated with a category, as described below: “0” - No category “1” - New product announcement “2” - Sweepstakes and contest “3” - Sales “4” - Consumer Feedback “5” - Infotainment “6” - Organization Branding “N\A” - Non-agreement between evaluators Therefore, the columns with data present in the CSV file are: “status_id” - Identification of each publication in the social network. String Textual content of each publication; “status_message” - The textual content of each publication; “link_name” - Which part of the profile the post are related; “status_type” - The type of the publication is a ’photo’, ’video’, ’status’ and/or ’link’; “status_link” - URL to the publications on the platform; “status_published” - Publication date in the social network; “num_comments” - Numbers of comments made by users; Reactions - Numbers of emoticons reactions from users on post – these numbers are presents in the columns: "num_reactions", "num_shares", "num_likes", "num_loves", "num_wows", "num_hahas", "num_sads", "num_angrys", "num_special"; “category” - The category of content that we mentioned before.

Keywords

digital consumer, tourism, amazon region, facebook

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
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33
7