Content Analysis Of Twitter Posts Research Articles

Manifestations of Depression on Social Media: a Content Analysis of Twitter Posts

Manifestations of Depression on Social Media: a Content Analysis of Twitter Posts

The Use of Twitter by Government: Engaging the Secure Based Feeling on Economic Investment

Indonesia witnessed a very rapid growth of 12.58 per cent in the tourism sector in 2018, compared with an average world growth of only 5.6 per cent, as well as an ASEAN growth of 7 per cent. To make tourism become one of the most important sectors for Indonesia in terms of increasing government revenue and improving the efficiency and competitiveness of citizens on international markets. Of course, a lot needs to be prepared to achieve this goal. One of them is a safe community-based feeling. Because Indonesia is currently developing and requires significant domestic investment, security in Indonesia is a focus that needs to be improved. And in order to be able to understand a sense of community security, the government must have a relationship between the government and the community. This study aims to know e-government service quality implementation by the Ministry of Agrarian Affairs and Spatial Planning via twitter. The method used in this study is a content analysis of Twitter posts from the Ministry of Agrarian Affairs and Spatial Planning of the Republic of Indonesia for a period of 1 year, from 1 January 2019 to 31 December 2019. Based on the findings and discussion, it is concluded that secure based feeling towards investment can be achieved through social media, one of which is Twitter by providing a more understanding related to land rights or land that will be used in investment.

Social media discussions about long-term care and the COVID-19 pandemic

With the proliferation of social media networks, online discussions can serve as a microcosm of the greater public opinion about key issues that affect society as a whole. Online discussions have been catalyzed by the COVID-19 pandemic and have magnified challenges experienced by older adults, health care professionals, and caregivers of long-term care (LTC) residents. Our main goal was to examine how online discussions and public perceptions about LTC practices have been impacted by the COVID-19 pandemic. We conducted a content analysis of Twitter posts about LTC to understand the nature of social media discussions regarding LTC practices prior to (March to June 2019) and following the declaration of the COVID-19 pandemic (March to June 2020). We found that a much greater number of Twitter posts about LTC was shared during the COVID-19 period than in the year prior. Multiple themes emerged from the data including highlighting concerns about LTC, providing information about LTC, and interventions and ideas for improving LTC conditions. The proportion of posts linked to several of these themes changed as a function of the pandemic. Unsurprisingly, one major new issue that emerged in 2020 is that users began discussing the shortcomings of infection control during the pandemic. Our findings suggest that increased public concern offers momentum for embarking on necessary changes to improve conditions in LTC.

Sex Workers' Lived Experiences With COVID-19 on Social Media: Content Analysis of Twitter Posts.

BackgroundThe COVID-19 pandemic has drawn attention to various inequalities in global societies, highlighting discrepancies in terms of safety, accessibility, and overall health. In particular, sex workers are disproportionately at risk due to the nature of their work and the social stigma that comes alongside it.ObjectiveThis study examines how public social media can be used as a tool of professional and personal expression by sex workers during the COVID-19 pandemic. We aimed to explore an underresearched topic by focusing on sex workers’ experiences with the ongoing COVID-19 pandemic on the social media platform Twitter. In particular, we aimed to find the main issues that sex workers discuss on social media in relation to the COVID-19 pandemic.MethodsA literature review followed by a qualitative analysis of 1458 (re)tweets from 22 sex worker Twitter accounts was used for this study. The tweets were qualitatively coded by theme through the use of intercoder reliability. Empirical, experimental, and observational studies were included in this review to provide context and support for our findings.ResultsIn total, 5 major categories were identified as a result of the content analysis used for this study: concerns (n=542, 37.2%), solicitation (n=336, 23.0%), herd mentality (n=231, 15.8%), humor (n=190, 13.0%), and blame (n=146, 10.0%). The concerns category was the most prominent category, which could be due to its multifaceted nature of including individual concerns, health issues, concerns for essential workers and businesses, as well as concerns about inequalities or intersectionality. When using gender as a control factor, the majority of the results were not noteworthy, save for the blame category, in which sexual and gender minorities (SGMs) were more likely to post content.ConclusionsThough there has been an increase in the literature related to the experiences of sex workers, this paper recommends that future studies could benefit from further examining these 5 major categories through mixed methods research. Examining this phenomenon could recognize the challenges unique to this working community during the COVID-19 pandemic and potentially reduce the widespread stigma associated with sex work in general.

A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic.

The COVID-19 pandemic has deeply impacted all aspects of social, professional, and financial life, with concerns and responses being readily published in online social media worldwide. This study employs probabilistic text mining techniques for a large-scale, high-resolution, temporal, and geospatial content analysis of Twitter related discussions. Analysis considered 20,230,833 English language original COVID-19-related tweets with global origin retrieved between January 25, 2020 and April 30, 2020. Fine grain topic analysis identified 91 meaningful topics. Most of the topics showed a temporal evolution with local maxima, underlining the short-lived character of discussions in Twitter. When compared to real-world events, temporal popularity curves showed a good correlation with and quick response to real-world triggers. Geospatial analysis of topics showed that approximately 30% of original English language tweets were contributed by USA-based users, while overall more than 60% of the English language tweets were contributed by users from countries with an official language other than English. High-resolution temporal and geospatial analysis of Twitter content shows potential for political, economic, and social monitoring on a global and national level.

Perspectives Toward Seeking Treatment Among Patients With Psoriasis: Protocol for a Twitter Content Analysis.

BackgroundPsoriasis is an autoimmune disease estimated to affect more than 6 million adults in the United States. It poses a significant public health problem and contributes to rising health care costs, affecting people’s quality of life and ability to work. Previous research showed that nontreatment and undertreatment of patients with psoriasis remain a significant problem. Perspectives of patients toward seeking psoriasis treatment are understudied. Social media offers a new data source of user-generated content. Researchers suggested that the social network Twitter may serve as a rich avenue for exploring how patients communicate about their health issues.ObjectiveThe objective of this study is to conduct a content analysis of Twitter posts (in English) published by users in the United States between February 1, 2016, and October 31, 2018, to examine perspectives that potentially influence the treatment decision among patients with psoriasis.MethodsUser-generated Twitter posts that include keywords related to psoriasis will be analyzed using text classifiers to identify themes related to the research questions. We will use Symplur Signals, a health care social media analytics platform, to access the Twitter data. We will use descriptive statistics to analyze the data and identify the most prevalent topics in the Twitter content among people with psoriasis.ResultsThis study is supported by the National Center for Advancing Translational Science through a Clinical and Translational Science Award award. Study approval was obtained from the institutional review board at the University of Southern California. Data extraction and cleaning are complete. For the time period from February 1, 2016, to October 31, 2018, we obtained 95,040 Twitter posts containing terms related to “psoriasis” from users in the United States published in English. After removing duplicates, retweets, and non-English tweets, we found that 75.51% (52,301/69,264) of the psoriasis-related posts were sent by commercial or bot-like accounts, while 16,963 posts were noncommercial and will be included in the analysis to assess the patient perspective. Analysis was completed in Summer 2020.ConclusionsThis protocol paper provides a detailed description of a social media research project including the process of data extraction, cleaning, and analysis. It is our goal to contribute to the development of more transparent social media research efforts. Our findings will shed light on whether Twitter provides a promising data source for garnering patient perspective data about psoriasis treatment decisions. The data will also help to determine whether Twitter might serve as a potential outreach platform for raising awareness of psoriasis and treatment options among patients and implementing related health interventions.International Registered Report Identifier (IRRID)DERR1-10.2196/13731

Assessment of Beliefs and Attitudes About Statins Posted on Twitter

Statins are prescribed to help lower cholesterol levels but have poor adherence rates. Attitudes or beliefs toward medications are important to ascertain because they may be associated with patient behavior. To identify health-related discussion in Twitter posts mentioning a statin and analyze the content within these posts. This qualitative study included 11 852 posts related to 1 of 8 statins (7 licensed for use in the United States and 5 licensed in the United Kingdom) collected from May 10, 2013, to August 28, 2018. Twitter posts were identified as health related or not, and if health related, whether they were posted by a statin user, someone who knows a statin user, a health care professional, or undetermined. The health-related tweets were classified by the type of information posted, such as a belief about the medication, an adverse event, a question, or a reference to the cost of the medication. Data were analyzed from January 22 to November 19, 2019. The number of posts by each user type identified and the categories identified by analyzing the content. Of the 11 852 Twitter posts about statins, 5201 (43.9%) were health related. The most frequent posts provided resource information, such as a link to a journal article (1824 of 5201 [35.1%]). The second most frequent type of health-related posts included personal beliefs or attitudes toward statins (1097 of 5201 [21.1%]). Personal experiences of adverse events (353 of 5201 [6.8%]), discussions about dosage (320 of 5201 [6.2%]), and questions about statins (191 of 5201 [3.7%]) followed. Posts indicated polarized beliefs and attitudes to statins from saving lives to causing death. Some beliefs, such as the direct confirmation that the use of statins mitigates the effects of an unhealthy diet, have not been extensively highlighted as common practice in the literature. This qualitative content analysis of Twitter posts about statins provides insights into beliefs about statins. Patient perspectives gathered from social media may help to inform research and improve public health messages and communication between health care professionals and patients.

Science Communication Meets Consumer Relations: An Analysis of Twitter Use by 23andMe

For-profit organizations play a considerable role in the dissemination of scientific research and information. In the case of direct-to-consumer genetic testing, this is important because how consumers learn about genetic science can influence health decisions and support for science. Through a content analysis of Twitter posts ( N = 1,000), this study examined how 23andMe balances traditional promotion, communicating product benefits, and sharing scientific research. Results indicated that about half of all posts share science news but sharing science has declined over time. Far fewer posts communicate about the products or their benefits, but these posts garner more retweets and replies.

Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis.

BackgroundThree major US tobacco companies were recently ordered to publish corrective statements intended to prevent and restrain further fraud about the health effects of smoking. The court-ordered statements began appearing in newspapers and on television (TV) in late 2017.ObjectiveThe objective of this study was to examine the social media dissemination of the tobacco corrective statements during the first 6 months of the implementation of the statements.MethodsWe conducted a descriptive content analysis of Twitter posts using an iterative search strategy through Crimson Hexagon and randomly selected 19.74% (456/2309) of original posts occurring between November 1, 2017, and March 27, 2018, for coding and analysis. We assessed post volume over time, source or author, valence, linked content, and reference to the industry (eg, big tobacco, tobacco industry, and Philip Morris) and media outlet (TV or newspaper). Retweeted content was coded for source/author and prevalence.ResultsMost posts were published in November 2017, surrounding the initial release of the corrective statements. Content was generally neutral (58.7%, 268/456) or positive (33.3%, 152/456) in valence, included links to additional information about the statements (94.9%, 433/456), referred to the industry (87.7%, 400/456), and did not mention a specific media channel on which the statements were aired or published (15%). The majority of original posts were created by individual users (55.2%, 252/456), whereas the majority of retweeted posts were posted by public health organizations (51%). Differences by source are reported, for example, organization posts are more likely to include a link to additional information compared with individual users (P=.03).ConclusionsConversations about the court-ordered corrective statements are taking place on Twitter and are generally neutral or positive in nature. Public health organizations may be increasing the prevalence of these conversations through social media engagement.

Luxury and Twitter: an issue of the right words

Purpose This paper aims to provide scholars and practitioners with an innovative method of analyzing luxury brand associations in social media (i.e. Twitter). To do so, authors investigated the alignment between luxury brand identity and luxury brand image in online communication, taking into consideration firm- and user-generated content (UGC) in the form of bloggers’ contents. This paper introduces new tools that luxury brand managers could use to manage and adapt the way they communicate and interact with their customers. Design/methodology/approach The study adopts a qualitative approach based on a content analysis of Twitter posts of six luxury fashion brands (1,334 posts) and the related Twitter electronic word-of-mouth of fashion bloggers (329 tweets). Findings The results show a match between luxury brand identity and luxury brand image on Twitter. Specifically, the findings indicate that both brands and bloggers stress the same dimensions of luxury (aesthetic, desirable, symbolic, restricted accessibility and hedonistic experience) confirming that the ways they communicate luxury brands to consumers are aligned. Moreover, the results suggest that luxury brands could reinforce their brand value by making more use of words that are semantically related to luxury. Originality/value This study approaches the relationship between social media and luxury brands in a novel way and provides scholars and managers with a tool for monitoring the gap between desired and perceived brand associations.

Representations of stem cell clinics on Twitter.

The practice of travelling abroad to receive unproven and unregulated stem cell treatments has become an increasingly problematic global phenomenon known as 'stem cell tourism'. In this paper, we examine representations of nine major clinics and providers of such treatments on the microblogging network Twitter. We collected and conducted a content analysis of Twitter posts (n = 363) by these establishments and by other users mentioning them, focusing specifically on marketing claims about treatment procedures and outcomes, discussions of safety and efficacy of stem cell transplants, and specific representations of patients' experiences. Our analysis has shown that there were explicit claims or suggestions of benefits associated with unproven stem cell treatments in approximately one third of the tweets and that patients' experiences, whenever referenced, were presented as invariably positive and as testimonials about the efficacy of stem cell transplants. Furthermore, the results indicated that the tone of most tweets (60.2 %) was overwhelmingly positive and there were rarely critical discussions about significant health risks associated with unproven stem cell therapies. When placed in the context of past research on the problems associated with the marketing of unproven stem cell therapies, this analysis of representations on Twitter suggests that discussions in social media have also remained largely uncritical of the stem cell tourism phenomenon, with inaccurate representations of risks and benefits for patients.

Crisis leadership styles—Bligh versus Gillard: a content analysis of Twitter posts on the Queensland floods

This paper presents a quantitative and qualitative content analysis of Twitter posts mentioning Queensland Premier Anna Bligh and Australian Prime Minister Julia Gillard during the 2011 Queensland flood crisis. The contrast in the perceived styles of the two leaders is analysed using the theory of transformational leadership as a framework. The implications for effective leadership communication in a crisis are discussed, notably, strategies for instilling pride and gaining respect and trust. The study also highlights the emerging role of Twitter in setting the media agenda at times of fast‐breaking news. Copyright © 2012 John Wiley & Sons, Ltd.