Time-dependent association between mass protests and psychological distress on social media: A text mining study during the 2019 anti-government social unrest in Hong Kong

Author(s):  
Calvin Lam ◽  
Christian S. Chan
2021 ◽  
Author(s):  
Christian Shaunlyn Chan ◽  
Takeshi Hamamura

PurposeSocial media are increasingly pivotal as the platform where activists and observers plan, promote, and respond to collective actions. To examine how mental health discourse might be impacted by mass protests, this study analyzed their time-dependent association during the 2019 anti-government social unrest in Hong Kong.MethodsConsecutive day-by-day user-generated content on online forums and social network sites (SNS) from June to November 2019 was obtained. A Cantonese term-list was created to identify terms related to mass protests and mental health discourse. The frequency of comments containing such terms was analyzed using time series models.ResultsThere were 3,572,665 social media comments in the investigation period. As hypothesized, the frequency of comments with mass protest terms was higher on days with mass protests than on days without. Frequency of comments with both mass protest- and mental health-terms was also higher on days with protests than days without. A time-lagged effect of protest-terms was found on online forums but not on SNS. Our results suggest a positive association between offline protest activities and online psychological reactions.ConclusionsSocial media content reveals discussion of mental health concerns stemming from, or exacerbated by, social unrest. The potential mutual influences between mass protests and online reactions, as well as the functional differences between online forums and SNS in this regard, are discussed. Street protests and their associated mental health discourse can be readily detected on popular online forums. Mental health services should consider such dynamic relationships between on- and offline activities.


2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110197
Author(s):  
Chesca Ka Po Wong ◽  
Runping Zhu ◽  
Richard Krever ◽  
Alfred Siu Choi

While the impact of fake news on viewers, particularly marginalized media users, has been a cause of growing concern, there has been little attention paid to the phenomenon of deliberately “manipulated” news published on social media by mainstream news publishers. Using qualitative content analysis and quantitative survey research, this study showed that consciously biased animated news videos released in the midst of the Umbrella Movement protests in Hong Kong impacted on both the attitudes of students and their participation in the protests. The findings raise concerns over potential use of the format by media owners to promote their preferred ideologies.


2015 ◽  
Vol 52 (5) ◽  
pp. 594-615 ◽  
Author(s):  
Sing Lee ◽  
Candi MC Leung ◽  
Kathleen PS Kwok ◽  
King Lam Ng

2021 ◽  
pp. 1476718X2110627
Author(s):  
Caroline Cohrssen ◽  
Nirmala Rao ◽  
Puja Kapai ◽  
Priya Goel La Londe

Hong Kong experienced a period of significant social unrest, marked by protests, from June 2019 to February 2020. Media coverage was pervasive. In July 2020, children aged from 5 to 6 years attending kindergartens in areas both directly and less directly impacted by the protests were asked to draw and talk about what had taken place during the social unrest. Thematic analysis of children’s drawings demonstrates the extent of their awareness and understanding and suggests that children perceived both protestors and police as angry and demonstrating aggression. Many children were critical of police conduct and saw protestors as needing protection from the police. Children around the world have been exposed to protest movements in recent times. The implications for parents, teachers and schools are discussed.


Author(s):  
Nourah F. Bin Hathlian ◽  
Alaaeldin M. Hafez

The need for designing Arabic text mining systems for the use on social media posts is increasingly becoming a significant and attractive research area. It serves and enhances the knowledge needed in various domains. The main focus of this paper is to propose a novel framework combining sentiment analysis with subjective analysis on Arabic social media posts to determine whether people are interested or not interested in a defined subject. For those purposes, text classification methods—including preprocessing and machine learning mechanisms—are applied. Essentially, the performance of the framework is tested using Twitter as a data source, where possible volunteers on a certain subject are identified based on their posted tweets along with their subject-related information. Twitter is considered because of its popularity and its rich content from online microblogging services. The results obtained are very promising with an accuracy of 89%, thereby encouraging further research.


2019 ◽  
Vol 10 (3) ◽  
pp. 341-366 ◽  
Author(s):  
Jacomine Nortier

AbstractStraattaal (‘street language’) used by members of various ethnic groups contains linguistic material from English and several heritage languages with relatively many Sranan words. Moroccan Flavored Dutch (MFD) is Dutch with elements from Moroccan languages on the level of pronunciation, lexicon and/or grammar. Both Straattaal and MFD can be used by young Moroccan-Dutch. The basic question is: How is the use of MFD and Straattaal by Moroccan-Dutch females perceived within the Moroccan community in CMC? Data were collected by searching posts on social media. Male and female young Moroccan-Dutch comment negatively on Moroccan girls using Straattaal. However, MFD is used too, even by the same participants, receiving little overt attention. The use of and attitudes towards youth languages by females elsewhere sometimes differ from the Moroccan-Dutch context. Examples from Algeria, Indonesia and Hong Kong show that they are used by both females and men without overt negative connotations compared to Western Europe where they seem to be used predominantly by males. A possible explanation could be that there seems to be a gender restriction for varieties used as anti-languages (Halliday 1976), while youth varieties that mark socially upward mobility can be used by both males and females.


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