Investigation of Social Approaches in Different Countries towards Suicide of the Blue Whale Game through Newspaper News

The aim of this study is to examine the negative attitude and prejudice of the media reflected in news articles about the relationship between ‘online games and suicidal youth’. This study analyzed the content of the news and the language of the media used for young people who committed suicide related to playing Blue Whale Challenge in different social settings. In this study, news articles in three different countries were examined with the content analysis method, using the content descriptors of Entertainment Software Rating Board (ESRB). In the news concerning young people who committed suicide and used this game, it was clearly observed that sources of influence involved attitudes towards online games, developed in part through the messages of the media, and that social conditions, including generational experiences, were influential in creating the media messages. Keywords: media panic, violence, online games, Blue Whale Challenge

Relationship Cultivation via Social Media During the COVID-19 Pandemic: Evidence From China and the U.S

This study explored the relationship cultivation and social media strategies companies used to cultivate relationships with their publics in two culturally distinct markets of China and the U.S. during the COVID-19 pandemic. A quantitative content analysis of Weibo ( n = 756) and Twitter ( n = 645) posts from Fortune 500 companies in China ( n = 30) and the U.S. ( n = 30) respectively was conducted to examine the effects of their relational efforts on public engagement. Results showed that certain relationship cultivation strategies and use of social media functions effectively increased public engagement in both China and the U.S., although on different levels. Both Chinese and U.S. companies most frequently adopted the strategy of openness. While the openness strategy was most effective at raising engagement levels in the U.S., publics of Chinese companies became more engaged when companies used the access strategy. Also, publics of Chinese companies showed higher levels of engagement and more positive emotions toward companies’ social media messages than their U.S. counterparts. The findings advance our understanding of organization-public relationships in a worldwide disaster setting, with insights informing the global public relations theory and practices.

Clubhouse Experience

Clubhouse is an invitation-only social networking application that differs from the usual social media platforms in that it is “audio only.” In this chapter, the sentiments in the social media messages about Clubhouse in the classic SMPs are examined by supervised learning (by using Hugging Face Transformer Library), and the user feelings are analyzed. Because Turkey is in the first ranks among European countries in terms of both the number of social media users and the number of messages, the analysis is conducted using the Turkish users. Mentions of Clubhouse have begun on Twitter and Sourtimes platforms in Turkey in early 2021. In this study, the aim is to demonstrate how Clubhouse, a new and different SMP, is evaluated by Twitter and Sourtimes users and to reveal user thoughts about this SMP along the timeline by using sentiment analysis.

Hashtag Black Lives Matter’s Tweets as Education Media Messages

TThe objectives of this study are to discover the various types of and the most frequently presuppositions used in the hashtag black lives matter's tweets as the education media messages on Twitter anchoring in Yule's theory of presupposition. This research employs a descriptive qualitative approach to elucidate and comprehend the meaning of utterance words in individuals or groups associated with a social or human problem. The analysis of the data used both qualitative and quantitative methods. The researcher discovered that existential presuppositions are the most frequently used type of presupposition in hashtag black lives matter's tweets, accounting for 41%. The factive presupposition is the second most frequently used type, accounting for 26 %. The lexical presupposition is the third most frequently used type of presupposition, accounting for 24%. The fourth position is occupied by the structural presupposition, which contains 11 data points out of 100 (8%), and the final position is occupied by the counterfactual presupposition, which contains one data 0,75%. This hashtag teaches law enforcement officers to investigate legal cases before imposing punishment.