Relevant Data on the Impact of Visual Elements on Click Behavior When Bilibili (a Chinese social media platform) Users Proactively Search for Popular Science Videos.
DOI:10.4121/9ffffc40-9eb6-4eda-a9f0-ad7ebacbd937.v1
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DOI: 10.4121/9ffffc40-9eb6-4eda-a9f0-ad7ebacbd937
DOI: 10.4121/9ffffc40-9eb6-4eda-a9f0-ad7ebacbd937
Datacite citation style
Zhang, Weifeng (2023): Relevant Data on the Impact of Visual Elements on Click Behavior When Bilibili (a Chinese social media platform) Users Proactively Search for Popular Science Videos. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9ffffc40-9eb6-4eda-a9f0-ad7ebacbd937.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Usage statistics
299
views
468
downloads
Categories
Geolocation
Huxi street, Shapingba District, Chongqing, China
lat (N): 29.612265
lon (E): 106.3013
view on openstreetmap
Time coverage 2010-2022
Licence CC BY 4.0
Interoperability
The data in the EXCEL file consists of statistics and integration of 41,224 video records, including parameters such as blogger name, blogger homepage, number of followers, video links, thumbnail image links, view count, danmaku count, repost count, thumbnail brightness, image quality, color, and other relevant data.
The py file contains the code used in this paper, including data scraping, data cleaning, data visualization, and other processes.
The Brisque algorithm is an image quality assessment algorithm that needs to be implemented using MATLAB software.
History
- 2023-07-25 first online, published, posted
Publisher
4TU.ResearchDataFormat
*.xlsx or pyLanguage
zh-hansOrganizations
School of Journalism and Media, Chongqing Normal UniversityDATA
Files (3)
- 115,103 bytesMD5:
aaaa72736ca50efb0eed0809384620d4README.pdf - 15,449,922 bytesMD5:
864fd1a654a1ed929b73f0f2cba2024ddata list.xlsx - 1,759,688 bytesMD5:
c2a709ddfb136dee859c94437db8917bThe relevant code of the paper.zip -
download all files (zip)
17,324,713 bytes unzipped




