scholarly journals Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content (Preprint)

2018 ◽  
Author(s):  
Jan-Are K Johnsen ◽  
Trude B Eggesvik ◽  
Thea H Rørvik ◽  
Miriam W Hanssen ◽  
Rolf Wynn ◽  
...  

BACKGROUND Social media provides people with easy ways to communicate their attitudes and feelings to a wide audience. Many people, unfortunately, have negative associations and feelings about dental treatment due to former painful experiences. Previous research indicates that there might be a pervasive and negative occupational stereotype related to dentists and that this stereotype is expressed in many different venues, including movies and literature. OBJECTIVE This study investigates the language used in relation to dentists and medical doctors on the social media platform Twitter. The purpose is to compare the professions in terms of the use of emotional and pain-related words, which might underlie and reflect the pervasive negative stereotype identified in relation to dentists. We hypothesized that (A) tweets about dentists will have more negative emotion-related words than those about medical doctors and (B) pain-related words occur more frequently in tweets about dentists than in those about medical doctors. METHODS Twitter content (“tweets”) about dentists and medical doctors was collected using the Twitter application program interface 140Dev over a 4-week period in 2015, scanning the search terms “dentist” and “doctor”. Word content of the selected tweets was analyzed using Linguistic Inquiry and Word Count software. The research hypotheses were investigated using nonparametric Wilcoxon-Mann-Whitney tests. RESULTS Over 2.3 million tweets were collected in total, of which about one-third contained the word “dentist” and about two-thirds contained the word “doctor.” Hypothesis A was supported since a higher proportion of negative words was used in tweets about dentists than in those about medical doctors (z=−10.47; P<.001). Similarly, tests showed a difference in the proportions of anger words (z=−12.54; P<.001), anxiety words (z=−6.96; P<.001), and sadness words (z=−9.58; P<.001), with higher proportions of these words in tweets about dentists than in those about doctors. Also, Hypothesis B was supported since a higher proportion of pain-related words was used in tweets about dentists than in those about doctors (z=−8.02; P<.001). CONCLUSIONS The results from this study suggest that stereotypes regarding dentists and dental treatment are spread through social media such as Twitter and that social media also might represent an avenue for improving messaging and disseminating more positive attitudes toward dentists and dental treatment.

Author(s):  
Elizabeth M Seabrook ◽  
Margaret L Kern ◽  
Ben D Fulcher ◽  
Nikki S Rickard

BACKGROUND Frequent expression of negative emotion words on social media has been linked to depression. However, metrics have relied on average values, not dynamic measures of emotional volatility. OBJECTIVE The aim of this study was to report on the associations between depression severity and the variability (time-unstructured) and instability (time-structured) in emotion word expression on Facebook and Twitter across status updates. METHODS Status updates and depression severity ratings of 29 Facebook users and 49 Twitter users were collected through the app MoodPrism. The average proportion of positive and negative emotion words used, within-person variability, and instability were computed. RESULTS Negative emotion word instability was a significant predictor of greater depression severity on Facebook (rs(29)=.44, P=.02, 95% CI 0.09-0.69), even after controlling for the average proportion of negative emotion words used (partial rs(26)=.51, P=.006) and within-person variability (partial rs(26)=.49, P=.009). A different pattern emerged on Twitter where greater negative emotion word variability indicated lower depression severity (rs(49)=−.34, P=.01, 95% CI −0.58 to 0.09). Differences between Facebook and Twitter users in their emotion word patterns and psychological characteristics were also explored. CONCLUSIONS The findings suggest that negative emotion word instability may be a simple yet sensitive measure of time-structured variability, useful when screening for depression through social media, though its usefulness may depend on the social media platform.


2016 ◽  
Vol 12 (5) ◽  
pp. 221
Author(s):  
Wafa Abu Hatab

<p>Social media has become an integral part of our daily life encapsulating time and place, creating new relations and fostering old ones not only on an individual level but also on social and global ones. This revolution in human interaction was led by the introduction of Facebook in 2004 that was followed by other social media platforms such as Twitter and Instegram. This electronic revolution swept over to reach mobile phones and to introduce new platforms such as WhatsApp and Viber. The present study investigated attitudes and views towards the use of social media in promoting Islam. A random sample of Facebook users was asked to fill in a questionnaire that tackled questions related to their attitudes towards the role of social media in promoting Islam, the linguistic influence of the social media on their English language skills when talking about Islam and the most preferred social media platform. . Respondents were then classified according to education and gender. The study revealed that the social media have affected the way the other is addressed when discussing Islamic topics. Despite some negative stands, the positive attitudes towards social media in promoting Islam prevailed. The views were influenced by the respondents’ age, gender and education. The linguistic influence of the social media on developing English skills was viewed positively. The Facebook was the most preferred social media platform. Further research is recommended on the interrelationships between social factors and views of social media. Code-switching among social media users and the effect on Arabic might be also investigated.</p>


2020 ◽  
Vol 12 (17) ◽  
pp. 7081 ◽  
Author(s):  
Athapol Ruangkanjanases ◽  
Shu-Ling Hsu ◽  
Yenchun Jim Wu ◽  
Shih-Chih Chen ◽  
Jo-Yu Chang

With the growth of social media communities, people now use this new media to engage in many interrelated activities. As a result, social media communities have grown into popular and interactive platforms among users, consumers and enterprises. In the social media era of high competition, increasing continuance intention towards a specific social media platform could transfer extra benefits to such virtual groups. Based on the expectation-confirmation model (ECM), this research proposed a conceptual framework incorporating social influence and social identity as key determinants of social media continuous usage intention. The research findings of this study highlight that: (1) the social influence view of the group norms and image significantly affects social identity; (2) social identity significantly affects perceived usefulness and confirmation; (3) confirmation has a significant impact on perceived usefulness and satisfaction; (4) perceived usefulness and satisfaction have positive effects on usage continuance intention. The results of this study can serve as a guide to better understand the reasons for and implications of social media usage and adoption.


Author(s):  
Giandomenico Di Domenico ◽  
Annamaria Tuan ◽  
Marco Visentin

AbstractIn the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.


Modern Italy ◽  
2015 ◽  
Vol 20 (4) ◽  
pp. 335-349 ◽  
Author(s):  
Pierluigi Erbaggio

Based on Roberto Saviano's book Gomorra (2006), production of the TV series Gomorra – La serie (2014) was met with scepticism as many feared it would glamorise organised crime and, consequently, attract young people toward Camorra affiliation. The series' bleak portrayal of criminals and criminality was offered as a response to such concerns. Despite the preoccupations, Gomorra – La serie was hugely successful and, because of its quality, was sold to other countries. In Italy, the series' success can be measured by the popularity of its Twitter hashtag #GomorraLaSerie. Engaged with Henry Jenkins' theories of media convergence and based on a corpus of tweets bearing this official hashtag, this article proposes a quantitative analysis and advances conclusions regarding the Italian TV audience and second-screen viewing practices. Additionally, through a qualitative study of Saviano's tweets about the series, it examines the writer's use of the social media platform as a tool of narrative continuity. Finally, the article highlights a few examples of fan-generated media and concludes with remarks regarding Saviano's problematic position at the centre of a transmedia object.


2021 ◽  
Vol 11 (2) ◽  
pp. 32-51
Author(s):  
Simran Kaur Madan ◽  
Payal S. Kapoor

The research, based on uses and gratifications theory, identifies consumer motivation and factors that influence consumers' intention to follow brands on the social media platform of Instagram. Accordingly, this study empirically examines the role of need for self-enhancement, the need for entertainment, and deal-seeking behaviour on the intention to follow brands on Instagram. Further, the study investigates the mediation of social media usage behaviour for consumption decisions on eliciting brand following behaviour. Moderation of consumer skepticism on the relationship of deal-seeking behaviour, and intention to follow brands is also investigated. Findings reveal a significant direct effect of need for self-enhancement, need for entertainment, and deal-seeking behaviour on intention to follow brands. Indirect effect of social media usage behaviour for consumption decisions was also significant; however, moderation of consumer skepticism was not found to be significant. The study will help marketers create engaging content that enables consumer-brand interactions.


2021 ◽  
pp. 146144482110594
Author(s):  
Yiyi Yin ◽  
Zhuoxiao Xie

This study discusses the shifting dynamics of fan participatory cultures on social media platforms by introducing the concept of “platformized language games.” We conceive of a fan community as a “speech community” and propose that the language and discourses of fan participatory cultures are technological practices that only make sense in use and interactions as “games” on social media platform. Based on an ethnography of communication on fan communities on Weibo, we analyze the technological-communicative acts of fan speech communities, including the platformized setting, participants, topics, norms, and key purposes. We argue that the social media logic (programmability, connectivity, popularity, and datafication) articulates with fans’ language games, thus shifting the “form of life” of celebrity fans on social media. Empirically, fan participatory cultures continue to mutate in China, as fan communities create idiosyncratic platformized language games based on the selective appropriation of the social media logics of connectivity and data-driven metrics.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Katie Elson Anderson

Purpose This paper aims to provide information and promote discussion around the social media platform TikTok. Design/methodology/approach Research, literature review. Findings Libraries and library and information professionals should be aware of the potential of TikTok for engagement and information sharing. Originality/value Adds to the research on the social media platform TikTok.


2016 ◽  
Vol 44 (3) ◽  
pp. 20-26 ◽  
Author(s):  
Kenneth Alan Grossberg

Purpose Delineate the strategic implications for three new marketing trends based on digital technology. Design/methodology/approach The author looks at how strategy is being affected by: Marketing automation, where artificial intelligence is used to help win a customer and optimize the search for such potential prospects. Social media, which blends the personal and the businesslike and provides opportunities for engagement with the client on an almost real-time, personalized basis. The manipulation of huge quantities of “Big Data” to increase the efficiency and effectiveness of marketing automation and of deriving value from social media. Findings Under all emerging digital technology scenarios, the marketer’s job becomes more complex and more central to the interaction between the customers and the corporation. Practical implications Social marketing will increasingly involve co-creation of product and brand story with customers, experienced-based marketing and more sophisticated management of the interface between the social media platform and automated marketing. Originality/value This article identifies the integral relationship between advances in marketing technology and strategic opportunities for marketing innovation.


2021 ◽  
Vol 15 (1) ◽  
pp. 1-11
Author(s):  
Akhmad Roja Badrus Zaman ◽  
Mahin Muqaddam Assarwani

Advances in technology and information provide new opportunities for preachers to be able to take part in spreading Islamic teachings through various social media platforms. One of the preachers who took the role to preach through social media was Habib Husein Jafar al-Hadar. This article examines Habib Husein Jafar’s missionary activities on the social media platform he uses, Youtube. The researcher analyzes the data by observing virtually and visually (virtual ethnography) on the da’wa content displayed by Habib Husein Jafar through Youtube. The study shows that: 1) the attention to the spiritual enlightenment efforts of the younger generation is the basis of the selection of the social media platform Youtube - because based on previous research, the users of this social media platform are 18-29 years of age; 2) starting from the da’wa consumers who are primarily young people, the content they present is suitable to their needs and lifestyle and 3) by using the concept of the circuit of culture analysis, Habib Husein Jafar in various ranges can reconstruct people’s perception of one’s definition of holiness. It is not limited based on normative appearance - cloaked and sacrificed, for example - but more on the substantive side, namely by behaving and having knowledgeable skills. With the variety of content, he could visualize himself as a pious young man by not abandoning his social status as a young person.


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