Investigating the Relationship Between Trust and Sentiment Agreement in Arab Twitter Users

2017 ◽  
pp. 236-245
Author(s):  
Areeb Alowisheq ◽  
Nora Alrajebah ◽  
Asma Alrumikhani ◽  
Ghadeer Al-Shamrani ◽  
Maha Shaabi ◽  
...  
Keyword(s):  
Twitter Users ◽  
The Relationship

He Will Never Walk Outside of a Prison Again: An Examination of Twitter Users’ Responses to the Larry Nassar Case

2019 ◽  
Vol 8 (2) ◽  
pp. 188-214
Author(s):  
Cui Zhang Meadows ◽  
Charles W. Meadows
Keyword(s):  
Michigan State University ◽  
State University ◽  
Responsibility Attribution ◽  
The Public ◽  
Sports Communication ◽  
Twitter Users ◽  
Emotion Coping ◽  
Relationship Of ◽  
The Relationship ◽  
Practical Level

To successfully manage a crisis in sports, it is necessary to examine the public’s emotions and other emotion-related responses. Without this knowledge, an organization will likely be disconnected from the needs of the public. Inspired by the key constructs in the integrated crisis mapping model, this study examined emotion, coping, and responsibility attribution through a content analysis of tweets during the Larry Nassar scandal involving Michigan State University and USA Gymnastics. This study analyzed a sample of 3,088 tweets generated by the public several days following the sentencing of Larry Nassar. The findings had both theoretical and practical implications. Theoretically, the findings provided an extension of emotions examined and suggested ways in which the model could be expanded to accommodate varied crisis situations. Furthermore, the study revealed important findings regarding levels of attributions and the relationship of the public’s emotions and attribution of responsibilities. On a practical level, the findings offered tangible suggestions for sports communication managers when developing appropriate strategies and tactics considering public sentiments such as emotions, coping strategies, and attributions on social media.

scholarly journals In the mood: the dynamics of collective sentiments on Twitter

2016 ◽  
Vol 3 (6) ◽  
pp. 160162 ◽  
Author(s):  
Nathaniel Charlton ◽  
Colin Singleton ◽  
Danica Vukadinović Greetham
Keyword(s):  
Large Dataset ◽  
Agent Based ◽  
Positive Sentiment ◽  
External Events ◽  
Twitter Users ◽  
Negative Sentiment ◽  
Scoring Algorithms ◽  
The Relationship ◽  
Structurally Stable ◽  
Average User

We study the relationship between the sentiment levels of Twitter users and the evolving network structure that the users created by @-mentioning each other. We use a large dataset of tweets to which we apply three sentiment scoring algorithms, including the open source S enti S trength program. Specifically we make three contributions. Firstly, we find that people who have potentially the largest communication reach (according to a dynamic centrality measure) use sentiment differently than the average user: for example, they use positive sentiment more often and negative sentiment less often. Secondly, we find that when we follow structurally stable Twitter communities over a period of months, their sentiment levels are also stable, and sudden changes in community sentiment from one day to the next can in most cases be traced to external events affecting the community. Thirdly, based on our findings, we create and calibrate a simple agent-based model that is capable of reproducing measures of emotive response comparable with those obtained from our empirical dataset.

scholarly journals HUBUNGAN KEMATANGAN EMOSI DENGAN KECENDERUNGAN PERILAKU CYBERBULLYING PADA PENGGUNA TWITTER DI UNIVERSITAS SARJANAWIYATA TAMANSISWA YOGYAKARTA

2017 ◽  
Vol 4 (1) ◽  
pp. 64
Author(s):  
Sri Gustiningsih ◽  
Hartosujono Hartosujono
Keyword(s):  
Negative Relationship ◽  
Emotional Maturity ◽  
Twitter User ◽  
Twitter Account ◽  
Statistical Program ◽  
Behavior Scale ◽  
Twitter Users ◽  
The University ◽  
The Relationship ◽  
Scale Data

ABSTRACTThis research aims to determine the relationship between emotional maturity and tendencies of cyberbullying behavior on twitter user. The hypothesis, there is a negative relationship between emotional maturity and cyberbullying behavior tendencies on twitter user. The subjects are students at the University Sarjanawiyata Tamansiswa Under graduated program, 18-24 years old, male and female, and have a twitter account, amounting to 82 people. The measures used tendencies of cyberbullying behavior scale and emotional maturity scale. Data processed using the Product Moment of Pearson technique with the help of statistical program SPSS version 20 for Mac. The results of relationship values obtained relationship between emotional maturity and tendencies of cyberbullying behavior of (r)= -0283 with p = 0.005 (p < 0.05). This shows that the hypothesis shows there is a negative relationship between emotional maturity and tendencies of cyberbullying behavior are acceptable. It means that the higher the emotional maturity of students twitter users then the lower the tendencies of cyberbullying behavior. Conversely the lower the emotional maturity of twitter users, the higher the tendencies of cyberbullying behavior. Key words: Cyberbullying, emotional maturity, twitter users

scholarly journals Political Expression and Action on Social Media: Exploring the Relationship Between Lower- and Higher-Threshold Political Activities Among Twitter Users in Italy

2015 ◽  
Vol 20 (2) ◽  
pp. 221-239 ◽  
Author(s):  
Cristian Vaccari ◽  
Augusto Valeriani ◽  
Pablo Barberá ◽  
Rich Bonneau ◽  
John T. Jost ◽  
...  
Keyword(s):  
Social Media ◽  
Political Expression ◽  
Political Activities ◽  
Twitter Users ◽  
The Relationship

scholarly journals Brands with personalities – good for businesses, but bad for public health? A content analysis of how food and beverage brands personify themselves on Twitter

2021 ◽  
pp. 1-23
Author(s):  
Tenay Greene ◽  
Carla Seet ◽  
Andrea Rodríguez Barrio ◽  
Dana McIntyre ◽  
Bridget Kelly ◽  
...  
Keyword(s):  
Public Health ◽  
Inverse Relationship ◽  
Food Product ◽  
Food And Beverage ◽  
Current Events ◽  
Advertising Spending ◽  
Trending Topics ◽  
Twitter Users ◽  
Personality Features ◽  
The Relationship

ABSTRACT Objective: To examine the extent to which food and beverage brands exhibit personalities on Twitter, quantify Twitter users’ engagement with posts displaying personality features, and quantify advertising spending across these brands on Twitter. Design: We identified 100 tweets from 10 food and beverage brands that displayed “personality,” and 100 “control” tweets (i.e., a post by that brand on the same day). Our codebook quantified the following personification strategies: 1) humor; 2) trendy language; and 3) absence of food product mentions. We used media articles to quantify other personification strategies: 4) referencing trending topics; 5) referencing current events; 6) referencing internet memes; and 7) targeting niche audiences. We calculated the brands’ number of tweets, re-tweets, “likes,” and comments and report the relationship between advertising spending and retweets per follower. Setting: Twitter posts. Participants: 10 food and beverage brands that were described in media articles (e.g., Forbes) as having distinct personalities. Results: Personality tweets earned 123,013 retweets, 732,076 “likes,” and 14,806 comments whereas control tweets earned 61,044 retweets, 256,105 “likes,” and 14,572 comments. The strategies used most included: humor (n;81), trendy language (n;80), and trending topics (n;47). The three brands that spent the most on advertising had similar or fewer retweets per follower than the four that spent relatively little on advertising. Conclusions: Some food and beverage brands have distinct “personalities” on Twitter that generate millions of “likes” and retweets. Some retweets have an inverse relationship with advertising spending, suggesting “personalities” may be a uniquely powerful advertising tool for targeting young adults.

scholarly journals Using Social Media to Determine the Affective and Cognitive Components of Tweets about Sunburn

Dermatology ◽  
2020 ◽  
Vol 236 (2) ◽  
pp. 75-80
Author(s):  
Naomi Stekelenburg ◽  
Caitlin Horsham ◽  
Montana O’Hara ◽  
Monika Janda
Keyword(s):  
Social Media ◽  
Health Promotion ◽  
Content Analysis ◽  
Qualitative Content Analysis ◽  
Common Theme ◽  
Media Usage ◽  
Cognitive Components ◽  
Perceptions And Attitudes ◽  
Twitter Users ◽  
The Relationship

Background: The relationship between social media usage and the public’s expressions of sunburn remains unexplored. This study is a content analysis of Twitter that was performed to identify the public’s expressions, perceptions, and attitudes towards sunburn. Methods: Qualitative content analysis was conducted on tweets by Australian Twitter users during January 2007 and January 2016. Out of 2,000 tweets available, in-depth content analysis of 200 random tweets was performed. Results: Tweets in this study were categorised into 10 distinct themes, three of which were cognitive (fact based) and seven affective (emotional), while one was miscellaneous. Results reveal that tweets about sunburn overwhelmingly contained affective as opposed to cognitive components. In addition, the sentiments contained in the affective tweets were frequently positively (68.9%) rather than negatively valanced (31.1%). While humour was the most common theme (n = 68 tweets), many tweets also expressed a link between Australian national identity and sunburn (n = 25 tweets). Conclusion: Many of the tweets analysed contained positive affective sentiments such as joy, rather than worry or concern, suggesting an avenue for further health promotion research.

scholarly journals Twitter Privacy Concern: The Effect of Twitter Profile

2020 ◽  
Vol 20 ◽  
pp. 22-37 ◽  
Author(s):  
Jehad Al Amri
Keyword(s):  
Online Communication ◽  
Sensitive Information ◽  
Private Communication ◽  
Privacy Concern ◽  
Chi Square ◽  
Privacy Concerns ◽  
Private And Public ◽  
Twitter Account ◽  
Twitter Users ◽  
The Relationship

Privacy concern vary from one to another. Sensitive information related to finance and health are most of the concern. The vast spread of using social media/ micro-blogging platforms, i.e. Twitter, as a desirable channel of online communication, has changed the peoples' understanding of what is private communication and whether they should or should not be concerned about their privacy. This paper examines the relationship between the level of privacy concern of Twitter users and their gender, experience on Twitter, type of their Twitter account and type of their username. A survey in the form of a questionnaire has been conducted in Saudi Arabia. The research compares privacy concern from the perspective of male and female, old and new Twitter users, private and public account holders and nickname and real name username holders. Determining the Chi square and using T-test and ANOVA, this research shows that the individual’s privacy concerns are affected by the Twitter users’ profile; gender, number of the years on Twitter, the type of Twitter account and username.

scholarly journals Analisis Kesiapan Masyarakat Pada Penerapan Smart City di Sosial Media Menggunakan SNA

2021 ◽  
Vol 5 (1) ◽  
pp. 69-81
Author(s):  
M. Khairul Anam ◽  
Tri Putri Lestari ◽  
Latifah ◽  
Muhammad Bambang Firdaus ◽  
Sofiansyah Fadli
Keyword(s):  
Social Media ◽  
Social Network ◽  
Network Analysis ◽  
Social Interactions ◽  
Smart City ◽  
The People ◽  
Twitter Users ◽  
The Government ◽  
The Relationship

Smart People, which means smart city residents or people, not only refers to one's education but also the quality of social interactions that are formed. This Social Network Analysis (SNA) emphasizes the relationship between actors / users rather than the attributes of these actors. This analysis aims to see whether the people of Pekanbaru are ready to face changes to a Smart City. Pekanbaru is a civil city that will build a Smart City, with a concept that adopts 6 pillars, one of which is Smart People. There are 720,000 Twitter users in Pekanbaru City, while the people who actively interact are only 227 users or around 0.031%. Meanwhile, a city that can be said to be ready should be around 60-80% of active users who provide opinions or comments to the government of Pekanbaru City. From this research, it can be concluded that the people of Pekanbaru City are not ready to face Smart City Madani as seen from the interaction of the community on social media Twitter.

scholarly journals The ideology of media. Measuring the political leaning of Spanish news media through Twitter users’ interactions

2022 ◽  
Vol 35 (1) ◽  
pp. 29-43
Author(s):  
Frederic Guerrero-Solé
Keyword(s):  
News Media ◽  
Right Wing ◽  
Left Wing ◽  
Political Organizations ◽  
Far Right ◽  
Critical Question ◽  
Media Organizations ◽  
Twitter Users ◽  
The Right ◽  
The Relationship

The news media have a strong influence on people’s perception of reality. But despite claims to objectivity, media organizations are, in general, politically biased (Patterson & Donsbach, 1996; Gaebler, 2017). The link between news media outlets and political organizations has been a critical question in political science and communication studies. To assess the closeness between the news media and particular political organizations, scholars have used different methods such as content analysis, undertaking surveys or adopting a political economy view. With the advent of social networks, new sources of data are now available to measure the relationship between media organizations and parties. Assuming that users coherently retweet political and news information (Wong, Tan, Sen & Chiang, 2016), and drawing on the retweet overlap network (RON) method (Guerrero-Solé, 2017), this research uses people’s perceived ideology of Spanish political parties (CIS, 2020) to propose a measure of the ideology of news media in Spain. Results show that scores align with the result of previous research on the ideology of the news media (Ceia, 2020). We also find that media outlets are, in general, politically polarized with two groups or clusters of news media being close to the left-wing parties UP and PSOE, and the other to the right-wing and far-right parties Cs, PP, and Vox. This research also underlines the media’s ideological stability over time.

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