#Cyberbullying in the digital age: Exploring people's opinions with text mining

Tahamtan, Iman; Li-min, Huang

doi:10.1002/pra2.172

Cited by 4 publications

(7 citation statements)

References 6 publications

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“…The proportion of negative and positive emotions was 24.4% and 10.8%, respectively. Similarly, Tahamtan and Huang found that for English Twitter users, negative emotion words were more common than positive ones in posts related to cyberbullying [39]. Nevertheless, another cyberbullying study that analyzed English Twitter posts collected in 2016 showed that the English users' attitude toward cyberbullying was largely neutral (43%, and "neutral" means not expressing any emotion), positive and negative attitudes toward cyberbullying were comparable (21%), and 16% had both positive and negative attitudes [32].…”

Section: Emotional Aspect Of Attitude Towards Cyberbullyingmentioning

confidence: 95%

“…However, another study shows that Twitter users mainly have a negative attitude toward cyberbullying. Tahamtan and Huang used correlation network analysis and Bing's lexicon approach to explore topics and emotions in the discussion about cyberbullying, and found that people mentioned more negative words and discussed more cyberbullying prevention [39].…”

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

confidence: 99%

“…The platform supports advanced search, which allows users to search for specific keywords, define a range of dates, and send requests for obtaining posts that contain qualified characters. Text analysis studies of public attitudes often collect posts posted over a period of several days [39] or even years [24]. Following the approach in McHugh et al [32], we selected Weibo posts posted over a single month to analyze attitude.…”

Section: Data Collectionmentioning

confidence: 99%

See 2 more Smart Citations

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: Emotional Aspect Of Attitude Towards Cyberbullyingmentioning

confidence: 95%

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

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

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

Zhao

Lai

et al. 2022

IJERPH

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“…Informasi yang cukup memberikan bukti bahwa cyberbullying dapat muncul akibat dari latar belakang dan sudut pandang seseorang untuk berperilaku serta mengeksplorasi di sosial media (Rifauddin, 2016). Teks atau ucapan di media social berubah menjadi sesuatu yang menarik seseorang supaya mengejudge korban disosial media (Tahamtan & Huang, 2019).…”

Section: Pendahuluanunclassified

Sistematik Reviu Tentang Kecenderungan Perilaku Cyberbullying Di Kalangan Remaja (Systematic Review of the Trends of Cyberbullying Behavior in Adolescents)

Fasya¹,

Na’imah²

2021

PSIMPHONI

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Cyberbullying is a behavior that can disturb others, this behavior almost occurs in adolescents aged 14-17 years The purpose of this systematic review is to synthesize trends in cyberbullying behavior among adolescent systematic reviews. This review was conducted by reviewing 26 articles from the Research Gate database source, SINTA, Sematic Scholar, DOAJ, Academia, CiterSeerX Google Scholar, Dergi Park, Springer. The author uses PICOSS (Population, Intervention, Comparators, Outcome Variables, Study Design and Setting) tables that are used to determine the inclusion, exclusion, detailed, clear and relevant criteria related to key components of the systematic review question. The findings of this study are that most of the trends in cyberbullying behavior from each journal can be synthesized into several cyberbullying behavioral tendencies such as spreading lies, sending messages or threats, imitating or acting on behalf of someone.Keywords : Behavior, Cyberbullying Tendencies, Teenagers ABSTRAKCyberbullying merupakan perilaku yang dapat menganggu orang lain, perilaku tersebut hampir terjadi pada remaja umur 14-17 tahun. Tujuan dari sistematik review ini adalah mensintesakan kecenderungan perilaku cyberbullying di kalangan remaja sistematik review ini dilakukan dengan cara mereview 26 artikel yang berasal dari sumber database Research Gate, SINTA, Sematic Scholar, DOAJ, Academia, CiterSeerX Google Scholar, Dergi Park, Springer. Penulis menggunakan tabel PICOSS (Population, Intervention, Comparators, Outcome Variables, Study Design and Setting) yang digunakan untuk menentukan kriteria inklusi, eksklusi yang terperinci, jelas dan relevan berhubungan dengan komponen kunci dari pertanyaan peninjauan sistematis. Temuan dari penelitian ini adalah sebagian besar kecenderungan perilaku cyberbullying dari masing-masing jurnal dapat di sintesakan menjadi beberapa kecenderungan perilaku cyberbullying seperti menyebar kebohongan, mengirim pesan atau ancaman, meniru atau mengatasnamakan seseorang.Kata Kunci : Perilaku, Kecenderungan Cyberbullying, Remaja

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“…This approach is also reflected in the work done by [21] where the authors looked at tweets in Indonesia and discovered the terms and patterns used by bullies. [22] used text mining methods for English language and showed that "people", "kids", "students", "schools", and "stop" were most commonly used words -results that showed that many people were concerned with stopping the bullying behavior especially among the kids. [23] contended that adolescents tend to fall back on the trust between then and other individuals online and bullies tended to target the highly trusted relationship.…”

Section: Problem Descriptionmentioning

confidence: 99%

<strong>Characterizing Female Workplace Bullying via Social Media</strong>

Ahmed¹,

Ae²,

Sarirete³

et al. 2020

Preprint

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Motivated by the #Metoo movement, we explore in this paper people’s perception of female bullying at workplace. We looked at #workplacebullying and found that 1) people were split between identifying the prevalence of workplace bullying against female and the view that such bullying simply does not exist and is a nuisance, 2) The tweets also showed the existence of psychological effects of cyberbullying, and 3) the tweets showed many intervention techniques that can minimize the effects of such bullying. We further explored the top three recurring hashtags mentioned under the #workplacebullying and found that the three top hashtags were #sexism, #feminism and #equality. Our results showed that the above hashtags represent the positive and negative approach to workplace bullying i.e. #feminism hashtag was mostly used by people who denied that workplace bullying against females exist while # sexism was mentioned as the prime cause by people who agree that such bullying exist. #equality overwhelmingly comprises of techniques to minimize workplace bullying against females.

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#Cyberbullying in the digital age: Exploring people's opinions with text mining

Cited by 4 publications

References 6 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

Sistematik Reviu Tentang Kecenderungan Perilaku Cyberbullying Di Kalangan Remaja (Systematic Review of the Trends of Cyberbullying Behavior in Adolescents)

<strong>Characterizing Female Workplace Bullying via Social Media</strong>

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