Detecting changes in attitudes toward depression on Chinese social media: A text analysis

Lei, Yu; Jiang, Wanyue; Ren, Zhihong; Xu, Sheng; Zhang, Lin; Hu, Xiangen

doi:10.1016/j.jad.2020.11.040

Cited by 37 publications

(25 citation statements)

References 42 publications

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“…Public statements on social media convey information about public attitudes and make a difference in influencing others [23]. Therefore, analyzing people's discourse using NLP techniques, combined with the analysis of linguistic features and semantic structure, may be a better way to explore the cognitive, emotional, and behavioral aspects of attitudes [24].…”

Section: Exploring Attitude With Natural Language Processing (Nlp) Te...mentioning

confidence: 99%

How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media

Zhao

Lai

et al. 2022

IJERPH

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The rise of cyberbullying has been of great concern for the general public. This study aims to explore public attitudes towards cyberbullying on Chinese social media. Cognition and emotion are important components of attitude, and this study innovatively used text analysis to extract the cognition and emotion of the posts. We used a web crawler to collect 53,526 posts related to cyberbullying in Chinese on Sina Weibo in a month, where emotions were detected using the software “Text Mind”, a Chinese linguistic psychological text analysis system, and the content analysis was performed using the Latent Dirichlet Allocation topic model. Sentiment analysis showed the frequency of negative emotion words was the highest in the posts; the frequency of anger, anxiety, and sadness words decreased in turn. The topic model analysis identified three common topics about cyberbullying: critiques on cyberbullying and support for its victims, rational expressions of anger and celebrity worship, and calls for further control. In summary, this study quantitatively reveals the negative attitudes of the Chinese public toward cyberbullying and conveys specific public concerns via three common topics. This will help us to better understand the demands of the Chinese public so that targeted support can be proposed to curb cyberbullying.

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Section: Exploring Attitude With Natural Language Processing (Nlp) Te...mentioning

confidence: 99%

How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media

Zhao

Lai

et al. 2022

IJERPH

Self Cite

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“…A data source is where data used to run a report or gain information is originating from. Here, for Sentiment Analysis, the data source or data collected from various social media, say Twitter [2,4,6,8,, Facebook [5,22], Wechat [9], Weibo [13,37,69], Amazon, Reddit [18,54],…”

Section: Data Sourcementioning

confidence: 99%

“…MokhlesurRahman [100], Shivam Behl [101] Twitter Xingwei Yang [5], Lichen Chang [11],Kanthinee Katchapakiren [22], Md. Rafiqul Islma [24], Renata L. Rosa [34],Hay Mar Su Aung [74], Masum Billah [94], Rinki Chatterjee [95] Facebook Micheal M. Tadasse [16], Subhan Tariq [17], Hameed Jelodhar [54] Reddit Yuwen Lyu [13], Lixia Yu [69], Tianyi Wang [83] Weibo Li Chen Chang Youtube Badr Ait Hammou [15], Marija Stanojevic [81] Yelp Fazeel Abid [14] IMDB Anirban Mukherjee [73], Marija Stanojevic [81] Amazon…”

Section: Data Sourcementioning

confidence: 99%

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Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review

2021

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“…For example, Luo & Lu (2019) took the tourist evaluation of seven scenic spots in Changsha city as the research material to study the causes of disappointment, the evaluation of disappointment and the reaction of disappointment behavior in tourism. And Yu et al (2021) started from the field of psychology by crawling on popular posts on Sina Weibo, where the keyword is "Depression", using topic models for semantic content analysis, and using language feature analysis to reveal public attitudes and trends towards social media depression. This paper uses Houyi collector to collect the bullet-screens and comments of the video works of "Summer Travel Manifesto", and uses ROST CM software to analyze the content.…”

Section: Text Analysismentioning

confidence: 99%

An Empirical Study on the Effect of Tourism Marketing and Communication: Taking OCT Cultural Tourism Festival as an Example

Li¹,

Chen²,

Zhang³

2021

JSSM

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As one of the components of the cultural tourism festival, the new media marketing activities of enterprises play a significant role in promoting the expansion of the tourism market. Taking the OCT Cultural Tourism Festival as an example, this paper uses the AHP-Fuzzy Comprehensive Evaluation method and the ROST CM text analysis method from the perspective of audience perception to evaluate the marketing effect and existing problems of the "Summer Travel Manifesto" held on Bilibili, and puts forward the corresponding theoretical suggestions. The results show that poor track matching, unclear perception image and poor video quality are the problems of the videos, which may affect the whole quality of this activity. In the future, the new media marketing activities should improve the effect of new media marketing activities by further improving the activity planning, increasing interaction with participants and strengthening the perception and guidance of participants, and finally form a complete set of closed-loop feedback system of the whole activity.

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Detecting changes in attitudes toward depression on Chinese social media: A text analysis

Cited by 37 publications

References 42 publications

How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media

How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media

Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review

An Empirical Study on the Effect of Tourism Marketing and Communication: Taking OCT Cultural Tourism Festival as an Example

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