An Empirical Analysis of Blockchain User-Generated Content Platforms and Content Provisioning

Abstract The tourism destination image is an intangible value that enhances the internal and external spiritual value of the region. To improve tourist experiences and provide reference for relevant departments, we applied the GooSeeker web data crawler tool and Python data mining kit to crawl and analyze the representative online tourism community data. We conduct an empirical analysis through data from the online tourist community ‘mafengwo’. The result, based on the user-generated content data analysis of online travel community, shows that the tourists' perception of the destination image, cognitive theme and emotional experience has different effects on the tourist experience. This research offers insights into destination image cognitive theme and traveler behavior habits, which can provide guidance for platform and destination managers.

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Video Diffusion in User-generated Content Website: An empirical analysis of Bilibili

2019 21st International Conference on Advanced Communication Technology (ICACT) ◽

10.23919/icact.2019.8701897 ◽

2019 ◽

Author(s):

Li Yan ◽

Namjun Cha ◽

Hosoo Cho ◽

Junseok Hwang

Keyword(s):

Empirical Analysis ◽

User Generated Content

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An Empirical Analysis of the Obtrusiveness of and Participants' Compliance with the Electronically Activated Recorder (EAR)

European Journal of Psychological Assessment ◽

10.1027/1015-5759.23.4.248 ◽

2007 ◽

Vol 23 (4) ◽

pp. 248-257 ◽

Cited By ~ 58

Author(s):

Matthias R. Mehl ◽

Shannon E. Holleran

Keyword(s):

Empirical Analysis ◽

Sampling Method ◽

Daily Life ◽

Assessment Method ◽

Data Confidentiality ◽

Short Term ◽

Naturally Occurring ◽

Two Samples ◽

Audio Recorder ◽

Term Monitoring

Abstract. In this article, the authors provide an empirical analysis of the obtrusiveness of and participants' compliance with a relatively new psychological ambulatory assessment method, called the electronically activated recorder or EAR. The EAR is a modified portable audio-recorder that periodically records snippets of ambient sounds from participants' daily environments. In tracking moment-to-moment ambient sounds, the EAR yields an acoustic log of a person's day as it unfolds. As a naturalistic observation sampling method, it provides an observer's account of daily life and is optimized for the assessment of audible aspects of participants' naturally-occurring social behaviors and interactions. Measures of self-reported and behaviorally-assessed EAR obtrusiveness and compliance were analyzed in two samples. After an initial 2-h period of relative obtrusiveness, participants habituated to wearing the EAR and perceived it as fairly unobtrusive both in a short-term (2 days, N = 96) and a longer-term (10-11 days, N = 11) monitoring. Compliance with the method was high both during the short-term and longer-term monitoring. Somewhat reduced compliance was identified over the weekend; this effect appears to be specific to student populations. Important privacy and data confidentiality considerations around the EAR method are discussed.

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