scholarly journals Conversations and Misconceptions About Chemotherapy in Arabic Tweets: Content Analysis (Preprint)

2019 ◽  
Author(s):  
Abdulrahman Alghamdi ◽  
Khalid Abumelha ◽  
Jawad Allarakia ◽  
Ahmed Al-Shehri
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Final Analysis ◽  
Well Being ◽  
Public Understanding ◽  
Sample Population ◽  
Chi Square ◽  
Support Mechanism ◽  
Supportive Messages ◽  
Arabic Speaking

BACKGROUND Although chemotherapy was first introduced for the treatment of cancer more than 60 years ago, the public understanding and acceptance of chemotherapy is still debatable. To the best of our knowledge, no study has assessed the conversations and misconceptions about chemotherapy as a treatment for cancer on social media platforms among the Arabic-speaking populations. OBJECTIVE The aim of this study was to assess the types of conversations and misconceptions that were shared on Twitter regarding chemotherapy as a treatment for cancer among the Arabic-speaking populations. METHODS All Arabic tweets containing any of the representative set of keywords related to chemotherapy and written between May 1, 2017 and October 31, 2017 were retrieved. A manual content analysis was performed to identify the categories of the users, general themes of the tweets, and the common misconceptions about chemotherapy. A chi-square test for independence with adjusted residuals was used to assess the significant associations between the categories of the users and the themes of the tweets. RESULTS A total of 402,157 tweets were retrieved, of which, we excluded 309,602 retweets and 62,651 irrelevant tweets. Therefore, 29,904 tweets were included in the final analysis. The majority of the tweets were posted by general users (25,774/29,904, 86.2%), followed by the relatives and friends of patients with cancer (1913/29,904, 6.4%). The tweets were classified into 9 themes; prayers and wishes for the well-being of patients undergoing chemotherapy was the most common theme (20,288/29,904, 67.8%), followed by misconceptions about chemotherapy (2084/29,904, 7.0%). There was a highly significant association between the category of the users and the themes of the tweets (χ<sup>2</sup><sub>40</sub>= 16904.4, <i>P</i>&lt;.001). CONCLUSIONS Our findings support those of the previous infodemiology studies that Twitter is a valuable social media platform for assessing public conversations, discussions, and misconceptions about various health-related topics. The most prevalent theme of the tweets in our sample population was supportive messages for the patients undergoing chemotherapy, thereby suggesting that Twitter could play a role as a support mechanism for such patients. The second most prevalent theme of the tweets in our study was the various misconceptions about chemotherapy. The findings of our exploratory analysis can help physicians and health care organizations tailor educational efforts in the future to address different misconceptions about chemotherapy, thereby leading to increased public acceptance of chemotherapy as a suitable mode of treatment for cancer.

scholarly journals Conversations and Misconceptions About Chemotherapy in Arabic Tweets: Content Analysis

10.2196/13979 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e13979
Author(s):  
Abdulrahman Alghamdi ◽  
Khalid Abumelha ◽  
Jawad Allarakia ◽  
Ahmed Al-Shehri
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Final Analysis ◽  
Well Being ◽  
Public Understanding ◽  
Sample Population ◽  
Chi Square ◽  
Support Mechanism ◽  
Supportive Messages ◽  
Arabic Speaking

Background Although chemotherapy was first introduced for the treatment of cancer more than 60 years ago, the public understanding and acceptance of chemotherapy is still debatable. To the best of our knowledge, no study has assessed the conversations and misconceptions about chemotherapy as a treatment for cancer on social media platforms among the Arabic-speaking populations. Objective The aim of this study was to assess the types of conversations and misconceptions that were shared on Twitter regarding chemotherapy as a treatment for cancer among the Arabic-speaking populations. Methods All Arabic tweets containing any of the representative set of keywords related to chemotherapy and written between May 1, 2017 and October 31, 2017 were retrieved. A manual content analysis was performed to identify the categories of the users, general themes of the tweets, and the common misconceptions about chemotherapy. A chi-square test for independence with adjusted residuals was used to assess the significant associations between the categories of the users and the themes of the tweets. Results A total of 402,157 tweets were retrieved, of which, we excluded 309,602 retweets and 62,651 irrelevant tweets. Therefore, 29,904 tweets were included in the final analysis. The majority of the tweets were posted by general users (25,774/29,904, 86.2%), followed by the relatives and friends of patients with cancer (1913/29,904, 6.4%). The tweets were classified into 9 themes; prayers and wishes for the well-being of patients undergoing chemotherapy was the most common theme (20,288/29,904, 67.8%), followed by misconceptions about chemotherapy (2084/29,904, 7.0%). There was a highly significant association between the category of the users and the themes of the tweets (χ240= 16904.4, P<.001). Conclusions Our findings support those of the previous infodemiology studies that Twitter is a valuable social media platform for assessing public conversations, discussions, and misconceptions about various health-related topics. The most prevalent theme of the tweets in our sample population was supportive messages for the patients undergoing chemotherapy, thereby suggesting that Twitter could play a role as a support mechanism for such patients. The second most prevalent theme of the tweets in our study was the various misconceptions about chemotherapy. The findings of our exploratory analysis can help physicians and health care organizations tailor educational efforts in the future to address different misconceptions about chemotherapy, thereby leading to increased public acceptance of chemotherapy as a suitable mode of treatment for cancer.

scholarly journals “At Least until the Second Wave Comes…”: A Twitter Analysis of the NHS and COVID-19 between March and June 2020

2021 ◽  
Vol 18 (8) ◽  
pp. 3943
Author(s):  
Kathy McKay ◽  
Sarah Wayland ◽  
David Ferguson ◽  
Jane Petty ◽  
Eilis Kennedy
Keyword(s):  
Health Care ◽  
Social Media ◽  
Content Analysis ◽  
Well Being ◽  
Profound Impact ◽  
Time Period ◽  
Twitter Analysis ◽  
The Uk ◽  
Media Narratives ◽  
Second Wave

In the UK, tweets around COVID-19 and health care have primarily focused on the NHS. Recent research has identified that the psychological well-being of NHS staff has been adversely impacted as a result of the COVID-19 pandemic. The aim of this study was to investigate narratives relating to the NHS and COVID-19 during the first lockdown (26 March–4 July 2020). A total of 123,880 tweets were collated and downloaded bound to the time period of the first lockdown in order to analyse the real-time discourse around COVID-19 and the NHS. Content analysis was undertaken and tweets were coded to positive and negative sentiments. Five main themes were identified: (1) the dichotomies of ‘clap for carers’; (2) problems with PPE and testing; (3) peaks of anger; (4) issues around hero worship; and (5) hints of a normality. Further research exploring and documenting social media narratives around COVID-19 and the NHS, in this and subsequent lockdowns, should help in tailoring suitable support for staff in the future and acknowledging the profound impact that the pandemic has had.

scholarly journals #familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labor

2017 ◽  
Vol 3 (2) ◽  
pp. 205630511770719 ◽  
Author(s):  
Crystal Abidin
Keyword(s):  
Social Capital ◽  
Social Media ◽  
Content Analysis ◽  
Filler Content ◽  
Well Being ◽  
Reality Tv ◽  
Domestic Life ◽  
Digital Labor ◽  
Attention Economy ◽  
Or Practice

Following in the celebrity trajectory of mommy bloggers, global micro-microcelebrities, and reality TV families, family Influencers on social media are one genre of microcelebrity for whom the “anchor” content in which they demonstrate their creative talents, such as producing musical covers or comedy sketches, is a highly profitable endeavor. Yet, this commerce is sustained by an undercurrent of “filler” content wherein everyday routines of domestic life are shared with followers as a form of “calibrated amateurism.” Calibrated amateurism is a practice and aesthetic in which actors in an attention economy labor specifically over crafting contrived authenticity that portrays the raw aesthetic of an amateur, whether or not they really are amateurs by status or practice, by relying on the performance ecology of appropriate platforms, affordances, tools, cultural vernacular, and social capital. In this article, I consider the anatomy of calibrated amateurism, and how this practice relates to follower engagement and responses. While some follower responses have highlighted concerns over the children’s well-being, a vast majority overtly signal their love, support, and even envy toward such parenting. I draw on ethnographically informed content analysis of two group of family Influencers on social media to illustrate the enactment and value of calibrated amateurism in an increasingly saturated ecology and, investigate how such parents justify the digital labor in which their children partake to produce viable narratives of domestic life.

Data-Driven Content Analysis of Social Media

2015 ◽  
Vol 659 (1) ◽  
pp. 78-94 ◽  
Author(s):  
H. Andrew Schwartz ◽  
Lyle H. Ungar
Keyword(s):  
Gender Differences ◽  
Social Media ◽  
Content Analysis ◽  
Statistical Power ◽  
Well Being ◽  
Exploratory Analysis ◽  
Data Driven ◽  
Subjective Well Being ◽  
Analysis Techniques ◽  
Alternative Measurement

Researchers have long measured people’s thoughts, feelings, and personalities using carefully designed survey questions, which are often given to a relatively small number of volunteers. The proliferation of social media, such as Twitter and Facebook, offers alternative measurement approaches: automatic content coding at unprecedented scales and the statistical power to do open-vocabulary exploratory analysis. We describe a range of automatic and partially automatic content analysis techniques and illustrate how their use on social media generates insights into subjective well-being, health, gender differences, and personality.

scholarly journals Linguistic Humor in Memes to Mitigate Post Covid-19 Severity

2020 ◽  
Vol 6 (2) ◽  
pp. 11-23
Author(s):  
Asma Zahoor
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Research Method ◽  
Well Being ◽  
Human Interaction ◽  
The Face ◽  
Creative Spirit

This paper aims at exploring how the use of humor in memes can serve as a relief therapy in the face of the grave situation of the post-COVID-19 world. The conceptual frameworkor this study is drawn from Sultanoff (1994) theory of humor. He believes in the relieving effect of humor on humans’ psyche. Content analysis was used as a research method to analyze twelve memes shared at WhatsApp, an electronic, social media app for swift human interaction. The study demonstrates that humor is essentially the creative spirit of life that carries on despite hardships. It enables humanity to laugh in order not to cry. The linguistic humor in memes created in the context of the Pandemic Covid-19 serves as a tool to release stress, provide relief and create a sense of well-being.

Age Knows No Bounds: A Latent Content Analysis of Social Media Comments Toward Older Adults’ Engagement in Sports Activities

2021 ◽  
pp. 073346482110046
Author(s):  
Allan B. de Guzman ◽  
John Christopher B. Mesana ◽  
Jonas Airon M. Roman
Keyword(s):  
Older Adults ◽  
Social Media ◽  
Content Analysis ◽  
Application Programming Interface ◽  
Well Being ◽  
Future Directions ◽  
Playing Field ◽  
Data Application ◽  
Application Programming ◽  
Latent Content

With the growing statistics of older adults across societies, sustaining their health and well-being through active participation in sports cannot be neglected nor overlooked. This qualitative study purports to characterize the ontology of social media comments relative to older person’s engagement in sports via latent content analysis. Specifically, a set of YouTube comments ( n = 7,546), extracted from select videos featuring older adults in sports ( n = 62), through YouTube Data Application Programming Interface (API) Version 3, was subjected to inductive analytic procedures of content analysis. Interestingly, this study afforded the emergence of a playing field model emanating from the dualistic perspectives of aging as engagement and aged as engaged that represent how YouTube users view older adult’s continual involvement in sports. Limitations and future directions of this study are also discussed in this article.

Determinants of Self-Rated Health Among Middle-Aged and Elderly Patients with COPD: The China Health and Retirement Longitudinal Study

2021 ◽  
pp. 105477382110188
Author(s):  
Cui Wang ◽  
Limin Wang ◽  
Luoya Hou ◽  
Han Lu ◽  
Shaomei Shang
Keyword(s):  
Logistic Models ◽  
Final Analysis ◽  
Female Gender ◽  
Patient Characteristics ◽  
Well Being ◽  
Chronic Obstructive ◽  
Chi Square ◽  
Obstructive Pulmonary Disease ◽  
Self Rated Health ◽  
Nationally Representative

This study aimed to assess self-rated health (SRH) status and its determinants in patients with chronic obstructive pulmonary disease (COPD). Participants aged at least 45 years were included from a nationally representative investigation in 2015. The SRH assessment was divided into two groups: “good” and “not good.” Independent samples t-tests, chi-square tests, and Fisher’s exact tests were used to determine differences in patient characteristics between the two groups. Multiple logistic models were used to determine factors influencing SRH. A total of 1,215 patients with COPD were included in the final analysis, of whom 21.2% reported favorable SRH status. The results indicated that female gender, non-smoking, and elevated peak expiratory flow correlated with better SRH, while nighttime sleep duration less than 7 hours, asthma, and disability, negatively impacted SRH. Our findings provide new evidence for the development of effective health promotion programs for the well-being of patients with COPD.

scholarly journals Using Content Analysis to Probe the Cognitive Image of Intangible Cultural Heritage Tourism: An Exploration of Chinese Social Media

2021 ◽  
Vol 10 (4) ◽  
pp. 240
Author(s):  
Qihang Qiu ◽  
Mu Zhang
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Cultural Heritage ◽  
Semantic Network ◽  
Well Being ◽  
Intangible Cultural Heritage ◽  
Chinese Speakers ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
Restricted Use

The industry of intangible cultural heritage (ICH) tourism continues to grow, and social media can serve as an essential tool to promote this trend. Although ICH tourism development is outstanding in China, the language structure and restricted use of social media render ICH difficult for non-Chinese speakers to understand. Using content analysis, this study investigates the structure and relationships among cognitive elements of ICH tourism based on 9074 blogs posted between 2011 and 2020 on Weibo.com, one of the most popular social media platforms in China. The main analysis process consisted of matrix construction, dimension classification, and semantic network analysis. Findings indicated that the cognitive image of ICH tourism on social media can be divided into seven dimensions: institutions, ICH and inheritors, tourism products, traditional festivals and seasons, tourism facilities and services, visitors, and regions. This network vividly illustrates ICH tourism and depicts the roles of organizers, residents, inheritors, and tourists. Among these elements, institutions hold the greatest power to regulate and control ICH tourism activities, and folklore appears to be the most common type of ICH resource that can be developed into tourism activities. Practically, the results offer insight for policymakers regarding ways to better balance the relationships among heritage protection, the business economy, and people’s well-being. Such strategies can promote the industrialization of ICH tourism. In addition, through content analysis, this paper confirms the effectiveness of social media in providing a richer understanding of ICH tourism.

Characteristics of Cheyenne Little Filtered Cigar Instagram Ads, 2019-2020 (Preprint)

2021 ◽  
Author(s):  
Erin L Mead-Morse ◽  
Cristine D Delnevo ◽  
Binu Singh ◽  
Olivia A Wackowski
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Health Effects ◽  
Descriptive Statistics ◽  
Warning Labels ◽  
Exact Tests ◽  
Chi Square ◽  
Safe Alternative ◽  
Cigarette Packs

BACKGROUND Little filtered cigar (LFC) marketing has often blurred the line between cigar and cigarette, and little is known about LFC marketing on social media. OBJECTIVE This study examined the characteristics of Instagram posts by Cheyenne—a popular LFC brand—from 2019-2020. METHODS A content analysis of 323 images posted in 2019 and 2020 on Cheyenne’s official Instagram account was conducted. Descriptive statistics were examined, and Chi-square and Fisher’s exact tests were used to test differences by year. RESULTS Most posts (76.0%) showed 1 pack and/or LFC stick, which look highly similar to cigarette packs and sticks, and the pack was often flavored (62.2%). Images of lit LFC sticks increased from 2019 (12.2%) to 2020 (26.7%, P=.005). Warning labels were present on the ad in 79.9% of posts, but were always presented at the bottom, and used the same single warning statement that they are not a safe alternative to cigarettes. The depiction of people nearly doubled from 2019 (18.1%) to 2020 (34.8%, P=.001), and women (51%) were more commonly depicted than men (32%). Popular depictions and themes included the outdoors (57.6%) and seasonal imagery (36.2%) among others. CONCLUSIONS Cheyenne actively used Instagram to market its product and grow its brand. Posts seemed designed to promote the similarity of their LFC to cigarettes, through depictions of cig-a-like packs/sticks. Although warning labels were highly prevalent on Cheyenne Instagram posts, the warnings were not compliant with FDA warning guidelines and might have been counterproductive by emphasizing their viability as cigarette alternatives rather than their dangerous health effects. Future surveillance is needed, and regulation of LFC advertising on social media may be warranted.

Twitter and Food Well-Being: Analysis of #SlowFood Postings Reflecting the Food Well-Being of Consumers

2019 ◽  
Vol 16 (30) ◽  
Author(s):  
Ruth Areli García-León
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Food Consumption ◽  
Positive Emotions ◽  
English Language ◽  
Well Being ◽  
Slow Food ◽  
Social Media Site ◽  
Food Content

This study examines how hashtag #SlowFood postings on social media site Twitter reflect the food well-being of consumers. 4102 tweets containing the hashtag #SlowFood were identified. Using interpretive content analysis, only 210 food-content messages in English language, from consumers were selected coded and interpreted. Displays of positive emotions and activities related with the slow food consumption on social media were found. By studying how consumers share their food well-being on social media, this research contributes to the understanding of food well-being and how it is practiced online.

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