Evidence map›Paper›PMID 36177235›Full record

ArticleHeliyon2022

YouTube as an information source of floating agriculture: analysis of Bengali language contents quality and viewers' interaction.

Kakon Chakma, Umama Begum Ruba, Susmita Das Riya

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kakon ChakmaDepartment of Genetics and Plant Breeding, Faculty of Agriculture, Sylhet Agricultural University, Sylhet, Bangladesh.
Umama Begum RubaDepartment of Agroforestry and Environmental Science, Faculty of Agriculture, Sylhet Agricultural University, Sylhet, Bangladesh.
Susmita Das RiyaFaculty of Agriculture, Sylhet Agricultural University, Sylhet, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bangladesh is physically low-lying and prone to flooding, making floating agriculture an appropriate method for dealing with floods and assisting farmers in coping. This YouTube content study was conducted to investigate the quality of information found on YouTube regarding floating agriculture in Bengali language, as well as viewers' interactions to such videos. The inquiry began with a search on https://www.youtube.com for the keyword ", ভাসমান কৃষি (Floating Agriculture)," which obtained 302 results. Following that, a total of 245 contents were discarded due to their inability to fulfill the inclusion criteria. Data on likes, dislikes, views, duration, comments, publisher type, and publishing year were retrieved from videos. The quality of contents was measured by a grading methodology that took into account two aspects: i) Comprehensive aspect; and ii) Floating agriculture aspect. The Kruskal-Wallis test was used to investigate multiple comparisons (P < 0.05 considered as statistically significant). Viewers' Sentiments, emotion, and intention towards the videos were analyzed from comments. A total of 26.32% contents were of high quality, with the majority of videos released by independent publishers and the quantity of videos on an upward trend. According to floating agriculture video demographics, mean view (70816.60 ± 177319.129), mean like (818.56 ± 1992.700), mean duration (07:47 ± 06:48 min), and mean comment (18.40 ± 38.537). The amount of views, likes, and duration varied statistically significantly in relation to different content quality categories. Comments analysis revealed that the majority of the viewers' possessed positive sentiments and happy responses, whereas most of the comment was for feedback purposes. In conclusion, despite the fact that the number of high-quality videos on YouTube regarding floating agriculture was limited, viewers seem to be satisfied with those videos. This is the first paper that critically assessed the quality of floating agriculture -related YouTube videos as well as identified viewers' interaction towards those videos. This report highlights the present scenario of YouTube content regarding floating agriculture which will help content creators to produce quality videos. Understanding the viewers' interaction would set new dimensions in policy implications regarding effective information dissemination.

Indexed as

Content analysisInformation sourceSentiment analysisSocial mediaYouTube videos

Identifiers

PMID36177235
PMCPMC9513773

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.