Use Of Twitter Research Articles

#Menopause: Examining the frequency of communications about menopause on twitter between 2014 and 2022.

This study explored the use of Twitter to communicate about menopause. Tweets in English posted between January 2014 and December 2022 with the hashtag "menopause" were extracted. Total global tweets and those from the UK, USA, Australia and Canada were examined. Globally, there were 314,974 tweets about menopause over this period, with an annual average of 34,997. There were notable differences between countries, with a large increase in use in the UK in 2018 and 2019, a reducing trend in use in the USA with a smaller increase in 2018 and 2019, and low stable usage in Australia and Canada.

Engaging with the claim of Roma people through twitter: who is behind the hashtags?

Grassroots Roma communities play a pivotal role in organizing at the grassroots level, advocating for their rights, and challenging anti-Roma sentiment across Europe. Nevertheless, there remains a need for a deeper understanding of how these efforts manifest within the digital landscape. Within the overarching framework of the Narratives4Change project (EU Marie Curie Action, Nr. 841,355), this study seeks to examine the use of Twitter as a platform for advocating Roma-related issues. Specifically, it investigates the types of actors engaged in tweeting about Roma-related content and explores potential variations in profiles (organizations vs. individuals) based on the content being tweeted. The analysis encompasses six Roma-related hashtags spanning the years 2017 to 2020: #RomaLivesMatter, #InternationalRomaDay, #OpreRoma, #OpreRomnia, #MujerGitana, and #RomaWomen. The findings reveal that organizations are most active when employing the hashtags #InternationalRomaDay and #MujerGitana, whereas for the other hashtags studied, individual users dominate. Our data underscore the untapped potential of social media spaces and their ecosystems as strategic tools for advocacy and mobilization in support of Roma rights throughout Europe.

Which candidates benefit from social media? An analysis of the 2021 German federal election

The 2021 German federal election was marked by the social restrictions to combat COVID-19, making social media an important component of constituency candidates’ communication strategy. This study examines which constituency candidates used Facebook, Twitter and Instagram in the 2021 federal election and tests whether this usage paid off on election day. Analyses of a unique dataset of all constituency candidates indicate that about half of the candidates used Facebook and Instagram, but only a third used Twitter. Moreover, candidates who used social media won more votes than those who did not. The results vary significantly between candidates from different parties and different social media platforms. The use of Instagram has been particularly beneficial for SPD candidates, while Green candidates have benefited from Twitter use. The results suggest that the potential of social media campaigning is far from being fully exploited by constituency candidates in Germany.

The Communication Repertoire of the Wits #FMF Movement

This article looks at the communication repertoire of the Wits Fees Must Fall (#FMF) movement of 2015–2016. It documents and discusses the different ways in which the students communicated during their movement activities. With many scholars often praising the use of Twitter in social movements, this article speaks to the importance of looking at more than one form of communication practice and technology to make sense of the different roles played by different practices in the life of a movement. There is no doubt that social media has changed the communication environment of movement activists. Social media has many benefits for activists, which are also mentioned in this article. However, even in this new digital world, one cannot dismiss the importance of interactions that take place through other means. By discussing these various communication practices and their roles in the Wits #FMF movement, the article highlights the key role of face-to-face interactions. It shows that movement activists use different platforms to perform various communication practices at the same time for different purposes. This article consults two frameworks that encourage such a holistic understanding: Emiliano Treré and Alice Mattoni's “repertoires of communication” and Marshall McLuhan's “media ecologies”.

Microvascular Decompression and Trigeminal Neuralgia: Patient Sentiment Analysis Using Natural Language Processing

Microvascular decompression (MVD) as a treatment for trigeminal neuralgia (TGN) has high success rate but is associated with risks of complication. This study analyzes Twitter to provide insights into discussions surrounding MVD for patients with TGN. A Twitter search performed in April 2022 yielded 491 tweets from 426 accounts. Tweets and accounts were classified thematically, and descriptive statistics were used for various social media metrics. Using a natural language processing machine learning algorithm, sentiment analysis (SA) was performed to evaluate patient perspectives before and after surgery, and a multivariate regression model was used to identify predictors of higher engagement metrics (likes, retweets, quote tweets, replies). Most accounts were patients, caregivers, and other members of the public (70%). The most encountered themes were research (47%) and personal experiences (33.4%). SA of tweets about patient experiences showed that 40.2% of tweets were positive, 31.1% were neutral and 28.7% were negative. Negative tweets decreased significantly in postoperative tweets and mostly discussed complications or failure of surgery (63%). On multivariate analysis, only inclusion of media (photo or video) in a Tweet was associated with higher engagement metrics. This study provides a comprehensive review of Twitter use discussing MVD in TGN and is the first to assess patient satisfaction after treatment using SA. The data presented on patient perspectives on social media could help physicians establish direct lines of communication with patients, fostering a more patient-focused care.

Investigating the Relationship between Timing of Tweets and Mental Health, Well-being and Sleep Quality in a UK birth cohort

Introduction & BackgroundSocial media use has been proposed as a cause of worsening mental health and wellbeing over the last decade, but its role in mitigating some of the effects of social distancing during the pandemic showed that it also has the potential to improve these outcomes. Whilst existing research disagrees on the degree to which social media use harms or helps, there is growing consensus around the need to move from global measures of social media use to specific measures of types of social media use. These new measures can enable an exploration of proposed mechanisms and causal pathways linking social media use and mental health and wellbeing. A commonly proposed mechanism is nighttime social media use reducing sleep quality, and consequently harming mental health and wellbeing.
 Objectives & ApproachWe aimed to investigate the relationships between the time Twitter users post content and their mental health, wellbeing and sleep quality using direct measurements of Twitter use linked to standardised mental health measures in a well-characterized cohort.
 This study uses approximately 1.5 million Tweets harvested between January 2008 and March 2023 from 622 participants in the Avon Longitudinal Study of Parents and Children (ALSPAC). These Tweets have been linked to questionnaire data collected on six occasions spanning April 2019 to May 2021. These questionnaires included standard measures of depressive symptoms, anxiety symptoms, mental wellbeing and difficulty sleeping.We have taken two approaches to explore these relationships, using circular statistical methods novel to social media data analysis to account for day/night cycles. The first approach used mixed effect models to investigate the association between the time a Tweet was posted and the mental health, mental wellbeing and sleep quality of the poster. The second approach explored the relationships between the mean hour participants post Tweets in a given time period, and their mental health, mental wellbeing and sleep quality.
 Relevance to Digital FootprintsThis research is highly relevant to Digital Footprints, due to its use of data directly extracted from a social media site. The methodologies employed in analysing this alongside more traditional epidemiological survey data provides an example of how digital footprint data can complemented by high quality ground truths.
 ResultsThere was evidence that the timing of Twitter activity was predictive of the mental wellbeing and sleep quality of participants, even after adjustment for demographic, educational and socio-economic covariates. However, the hour a Tweet was posted at explained very little of the variation in the mental wellbeing or sleep quality of the participant who posted it (0.1% and less than 0.1% respectively). There was weak to no evidence that the timing of Twitter activity was predictive of the depressive and anxiety symptoms of participants.
 Conclusions & ImplicationsWhilst this study found evidence that the hour participants post on Twitter is predictive of their mental wellbeing and sleep quality, the amount of variation explained by these models suggests that this is not a clinically relevant risk factor. This study supports arguments in the literature that the use of social media has a very small and insignificant effect on mental health, wellbeing and sleep quality.

Challenging the legacy of the past and present intimate colonialization – a study of Ugandan LGBT+ activism in times of shrinking communicative space

ABSTRACT Through a mixed-methods approach consisting of a directed content analysis of five established LGBT+ organizations’ use of Twitter and Facebook during a month in 2022, and semi-structured qualitative interviews with social media content producers, the study attempts to understand the role of self-controlled social media spaces in challenging the Uganda society’s logics of oppression. The results indicate that self-controlled spaces are not used for disrupting the basis for repression – the local logic of oppression – or its cocoon of collective post-colonial amnesia. Nor were spaces used for re-constructive engaging with transnational and development partners’ unwitting impact on global south actors’ agency and legitimacy. Instead, with a few exceptions, spaces displayed a conspicuous uniform human rights advocacy rhetoric, and Western identity labels summarized in the LGBT+ acronym. The interviews with social media content producers suggest that the LGBT+ community’s dependency on international support may sway actors into what we call performative visibility, in self-controlled spaces. The study concludes that future analysis of Global South based activist’s use of social media spaces’ affordances including its potential for supporting de-colonialization efforts, must approach use as relational to actors’ dependency on key resources such as funding and protection through affiliation.

“Speak[ing] My Mind”

Abstract: Black emerging adults in the United States make up a significant proportion of Twitter users and social media is an important developmental context. Media research has examined Black populations’ Twitter use and developmental research has considered social media writ large, but less research exists on Black emerging adults’ developmental uses of Twitter. This mixed methods study (1) traced reasons for Black emerging adults’ Twitter use to developmental aspects of emerging adulthood, and (2) explored whether these reasons differ by online and developmental characteristics. Data were collected from 203 Black emerging adults. Both qualitative (i.e., open-ended response) and quantitative (i.e., self-report questionnaire) data were collected via an online survey. Six qualitative categories described participants’ motivation for using Twitter: relationships, identity exploration, independence, financial possibilities, recreation, and coping and wellness. Participants who used Twitter for independence had higher critical media literacy. Participants who used Twitter for recreation and for identity explorations felt more positively about being Black and differed in other aspects of their racial identity. Findings suggest that Twitter is used by Black emerging adults to achieve developmental goals and that the Twitter empowers Black users to explore their racial identity in meaningful ways.

Twitter Diplomacy and China's Strategic Narrative during the Early COVID-19 Crisis

Abstract: This article examines Chinese diplomats' use of Twitter during the COVID-19 pandemic in 2020. Although Twitter is blocked in China, Chinese officials use the platform to experiment with new public diplomacy channels and directly communicate with foreign audiences. We argue that China's utilization of Twitter in 2020 functioned as a crisis management and public relations tool and as a mechanism for disseminating a strategic narrative (SN) that articulated foreign policy priorities. To illustrate this, we apply a qualitative content analysis to a selection of tweets from two China's Ministry of Foreign Affairs (MFA) spokespersons and divided into three stages. In each stage, distinct narrative themes emerge and construct a cohesive SN across three dimensions: issues, role identity, and the international system. This study reveals that China's public diplomacy apparatus effectively reaches global audiences with well-structured narratives but also that this effectiveness remains very limited.

Twitter and surgery: how social media can impact surgical education.

Social media is now a ubiquitous form of communication. It has allowed individuals to connect and share ideas across the country and across the globe. Twitter allows user to share thoughts in 280-character "tweets," while also connecting these messages to community posts with hashtags. While the surgical community utilizes many social media platforms; the use of Twitter has been particularly unique. The aim of this review was to focus on several areas of Twitter utilization in surgery including: surgical education, residency training, and utilization by surgical societies. The following databases were searched for studies meeting our inclusion criteria: MEDLINE, Embase, Cochraine library, ScieLO, LILACS. Selected papers discussed the use of Twitter for surgical education, social media use by residency programs, and social media use by surgical societies. Twitter has allowed for growth of the surgical community both locally and nationally. It allows for promotion and connectivity for surgical departments and individual surgeons. Furthermore, it is an important communication tool for surgical societies to reach members and disseminate guidelines and recommendations.

Political participation and the social media network of young Nigerians

Social media have expanded the opportunities for a more inclusive youth political participation (YPP) across the world. Previous studies on YPP have focused on how social media have influenced participation in elections, with scant attention given to the impact of the networked capacity of online political discourse on offline youth political participation. The generative capacity of Benkler’s Networked Public Square served as the framework, while mixed methods of QUAN + qual triangulation design was employed. The Lagos metropolis was stratified into Mainland and Island, with 505 copies of a questionnaire purposively administered to digitally competent Nigerian youth across the areas. In-depth interviews were conducted with twelve young political social media influencers. Results were thematically analysed, expressed in frequency counts and/or correlation analysis at p ≤ 0.05. The positive and significant relationship between Twitter use and offline YPP (r = 0.1) has great conceptual implications on the generative capacity of the networked public sphere.

Digital Communication of BMKG Non-Departmental Government Institutions

BMKG is aware exists urgent information related to earthquakes needed fast movement and accurate messages to society. Besides that, BMKG as an institution non- departmental government has not quite enough answers for open information to the public like disaster earthquakes according to Law No. 14 of 2008 concerning Openness Public Information (KIP). BMKG did digital communication with Twitter platforms to convey information related to the earthquake. So, the problem for this study is how BMKG did digital communication to deliver their information about natural disaster earthquakes through social media Twitter. The study uses a qualitative method. The result of the study This shows that digital communication carried out by BMKG utilizes feature hashtag (#) and keywords earthquake every tweet as a storyteller for convenience user Twitter For the following topic. The topic brings up citizen journalism Because there are two positions users on Twitter as the recipient of messages and sources of the messages alone. So, there is engagement among the public that makes information earthquake the develop in accordance condition latest this makes the image institution government as an information validator earthquake through increasing use of Twitter confirmed.

Detection of offensive terms in resource-poor language using machine learning algorithms.

The use of offensive terms in user-generated content on different social media platforms is one of the major concerns for these platforms. The offensive terms have a negative impact on individuals, which may lead towards the degradation of societal and civilized manners. The immense amount of content generated at a higher speed makes it humanly impossible to categorise and detect offensive terms. Besides, it is an open challenge for natural language processing (NLP) to detect such terminologies automatically. Substantial efforts are made for high-resource languages such as English. However, it becomes more challenging when dealing with resource-poor languages such as Urdu. Because of the lack of standard datasets and pre-processing tools for automatic offensive terms detection. This paper introduces a combinatorial pre-processing approach in developing a classification model for cross-platform (Twitter and YouTube) use. The approach uses datasets from two different platforms (Twitter and YouTube) the training and testing the model, which is trained to apply decision tree, random forest and naive Bayes algorithms. The proposed combinatorial pre-processing approach is applied to check how machine learning models behave with different combinations of standard pre-processing techniques for low-resource language in the cross-platform setting. The experimental results represent the effectiveness of the machine learning model over different subsets of traditional pre-processing approaches in building a classification model for automatic offensive terms detection for a low resource language, i.e., Urdu, in the cross-platform scenario. In the experiments, when dataset D1 is used for training and D2 is applied for testing, the pre-processing approach named Stopword removal produced better results with an accuracy of 83.27%. Whilst, in this case, when dataset D2 is used for training and D1 is applied for testing, stopword removal and punctuation removal were observed as a better preprocessing approach with an accuracy of 74.54%. The combinatorial approach proposed in this paper outperformed the benchmark for the considered datasets using classical as well as ensemble machine learning with an accuracy of 82.9% and 97.2% for dataset D1 and D2, respectively.

Reciprocity and asymmetry in digital diplomacy: Geopolitics of national identity in South Korea–Japan and South Korea–US relations

AbstractAn emerging line of research has drawn attention to the significance of national identity in shaping digital diplomatic practices. In this study, we look at the reciprocal construction of national identity on Twitter by corresponding foreign missions. Specifically, we examine one year of Twitter posts from the South Korean missions in Japan and the United States as well as the reciprocal missions of Japan and the United States in South Korea. Our study indicates that tweets from the Korea–US dyad reproduce the two nations as allies, even as the United States is constructed as the “big brother” to Korea's “little brother,” while the Korea–Japan dyad enacts and reinforces an adversarial relationship. Tweets from all four embassies reflect deep‐rooted national aspirations: Japan's hope to be accepted as morally superior to Korea, the US interest in maintaining its position as a global leader, and Korea's desire for international ascendance through economic and cultural export. We find that reciprocal identity construction is most evident in the text of the tweets but not so much in the use of Twitter's visual and interactional features. Going beyond reciprocity, our analysis sheds light on to how tweeting practices reproduce asymmetries of power in the international order.

Exploring How Healthcare Organizations Use Twitter: A Discourse Analysis

The use of Twitter by healthcare organizations is an effective means of disseminating medical information to the public. However, the content of tweets can be influenced by various factors, such as health emergencies and medical breakthroughs. In this study, we conducted a discourse analysis to better understand how public and private healthcare organizations use Twitter and the factors that influence the content of their tweets. Data were collected from the Twitter accounts of five private pharmaceutical companies, two US and two Canadian public health agencies, and the World Health Organization from 1 January 2020, to 31 December 2022. The study applied topic modeling and association rule mining to identify text patterns that influence the content of tweets across different Twitter accounts. The findings revealed that building a reputation on Twitter goes beyond just evaluating the popularity of a tweet in the online sphere. Topic modeling, when applied synchronously with hashtag and tagging analysis can provide an increase in tweet popularity. Additionally, the study showed differences in language use and style across the Twitter accounts’ categories and discussed how the impact of popular association rules could translate to significantly more user engagement. Overall, the results of this study provide insights into natural language processing for health literacy and present a way for organizations to structure their future content to ensure maximum public engagement.

Museums, COVID‐19 and the pivot to social media

AbstractThis paper examines social media activity by UK museums during the COVID‐19 pandemic. There is a general perception that as museums closed their doors for extended periods, their digital presence increased to maintain connections with their audiences. However, much of the research conducted in this area is based on small‐scale studies and examples of best practice from large, well‐resourced museums. By contrast, this study utilizes a comprehensive database of over 3300 active UK museums to understand the use of Facebook and Twitter across the sector. Specifically, the paper examines the frequency with which museums posted to these digital platforms as they attempted to engage with their audiences. Our findings indicate that there was no substantial increase in social media use and activity across the UK museum sector during the COVID‐19 pandemic. This research has implications for museologists studying the impact of the pandemic on museums' digital activity, for museum social media professionals, and policymakers responsible for museum digital transformation strategies.

Use of Twitter as a Tool for Political Parties’ Election Campaigns

Twitter is an excellent social medium for following election events and participating in public debate. Twitter allows individuals to express themselves on crucial national problems in various ways. All political parties used Twitter to interact with voters during the general election campaign in 2019. In such a case, it is critical to understand the impact of the election campaign on Twitter on shaping young people's votes. Qualitative content analysis has been conducted to evaluate the quality of national political parties' tweets during the 2019 general election. For this, tweets from the official Twitter handles of the BJP and the INC during the 2019 general elections were selected using a checklist. A serious attempt was made to understand all units of analysis in the tweets. The present study contributes to understanding the quality of the NPPs' messages. This study also evaluated Twitter's influence on the upcoming Lok Sabha elections.

Neither Words nor Images: Health Departments' and Hospitals' Use of Twitter During COVID-19 Had Limited Racial Representation and Content on Disparities Decreased Over Time.

To determine the degree to which hospitals and state health departments used written content or visual representation on social media to draw attention to racial disparities during the COVID-19 pandemic. A retrospective analysis, using Twitter content (words and images) between May-June 2020 and May-June 2021 from organizations in the 5 states with the largest documented racial disparities in COVID-19-related mortality. All tweets and retweets (n = 6790) were coded along several lines. For May-June 2020 and May-June 2021, posts were coded as pandemic related (yes/no) and disparities related (yes/no). Open-coding methods categorized pandemic-related content into content areas, including COVID-19 education, hospital or public policy, and addressing misinformation. After self-identifying their own race/ethnicity, survey respondents (n = 100) coded pandemic-related Twitter images (n = 198) as including individuals of a similar race/ethnicity (yes/no). In May-June 2020, health departments posted more pandemic-related content than hospitals (μ = 204 and 71 tweets, respectively; P = .03), including more about health disparities (μ = 14.3% and 2.11% of tweets, respectively; P = .03). Between May-June 2020 and May-June 2021, content addressing health disparities decreased for both groups (47% decrease for health departments and 69% decrease for hospitals). Black respondents were more likely to feel represented in images from health departments than in those from hospitals (44.3% and 23.7% of images, respectively; P = .05). Both hospitals and health departments were more likely to use images where White respondents felt represented (hospitals = 76.1% of images; health departments = 59.7%) than images where respondents from racial/ethnic minorities felt represented (hospitals = 19.3% of images; health departments = 21.4%) ( P ≤ .001 for hospitals; P = .004 for health departments). Health education ideally comes in a variety of ways. Hospitals used social media for this purpose less than health departments, and neither group increased such content during the COVID-19 pandemic even as evidence of racial disparities grew.

Trends in Twitter Utilization Among Academic Otolaryngologists.

To characterize Twitter utilization among academic otolaryngologists and evaluate the relationship between Twitter utilization and research productivity. Data were collected manually from accredited US otolaryngology residency programs from July-November 2021. Program and faculty demographics were documented, including citations and H-index for faculty and Doximity reputation and US News and World Report ranking for programs. Twitter metrics were also recorded. Descriptive analyses and multivariable logistic regression models were used to identify predictors of Twitter utilization. Currently, 333 (16%) faculty and 70 (62%) programs have a Twitter account. Of these, 36 (11%) and 27 (39%), respectively, were created in 2020. The regression model indicates that for each 5 unit increase in H-index, the odds of having a Twitter account increase 22% (OR 1.22, 95% CI 1.10-1.34, p = 0.0009). The number of faculty with a Twitter account predicts the existence of program Twitter accounts (OR:1.49, 95% CI 1.01-2.19, p = 0.04). Finally, of the 323 faculty with a Twitter account and available Scopus profile, we found that the number of individuals with Twitter use out of proportion to their academic productivity was low (n = 8/323). The H-index is a significant predictor of faculty Twitter accounts, whereas the number of faculty with Twitter is a significant predictor of program Twitter utilization. Although Twitter utilization is increasing, especially during the coronavirus pandemic, the findings indicate that there is ample room for growth, particularly amongst faculty with strong academic portfolios. NA Laryngoscope, 134:1190-1196, 2024.

Diological and Symmetrical Principles in the Use of Twitter by the Ahbap Organization

Ekonomi, politika, sosyoloji, pazarlama, iletişim gibi beşeri disiplinler teknoloji alanında yaşanan gelişmelere kayıtsız kalmamış, kendi içlerinde bir dönüşüm yaşamış ve yaşamaya da devam etmektedir. Özellikle, bu çalışmanın da genel bağlamını oluşturan iletişim konusundaki yenilikler, yeni araçlar, yeni sistemler alan yazında birçok çalışmanın konusunu oluşturmuştur. İletişim alanında sözü edilen bu yenilikler şüphesiz yeni medya ortamlarıdır. Günümüzde hem kişiler arası iletişim hem de kurumsal iletişimde yaygın bir biçimde yeni medya temelli teknolojiler ile aracılanan bir süreç gözlemlenmektedir. Özellikle sivil toplum kuruluşları açısından potansiyel pek çok avantajı olan yeni medya kullanımı konusunda sivil toplum kuruluşlarının farkındalıklarının ve kullanım becerilerinin artırılması bir gerekliliktir. Bu noktadan hareketle sivil toplum kuruluşlarının yeni medyadaki rolleri diyalogsal iletişim ve halkla ilişkiler modelleri etrafında merak edilmiştir. Bu araştırmada bir aktivist grup olan ve kendisini iyilik aktivisti olarak tanımlayan AHBAP oluşumunun Twitter kullanımı diyalogsal prensipler ve halkla ilişkiler modelleri (basın ajansı, kamuoyu bilgilendirme modeli, iki yönlü asimetrik ve iki yönlü simetri model) bağlamında ele alınmaktadır. Çalışmada içerik analizi tekniği kullanılmış olup, 01 Ocak 2022- 01 Mart 2022 tarih aralığında yapılan paylaşımlar incelenmiştir.