Twitter Research Articles

POETIC STYLE TWEETS FROM PT KERETA API INDONESIA'S X ACCOUNT @Kai121 AS A SOCIAL MEDIA BRANDING STRATEGY IN THE DIGITAL ERA

In an effort to reach a wider audience in the digital era, PT KAI Indonesia uses several social media with a different focus and style. Meanwhile, PT KAI's X (Twitter) account uses poetic style posts that are not related to railways. This difference in style seems to have an influence on the number of followers that each platform has managed to gather, where the PT. KAI’s X account has the highes followers than other social media accounts with 1,238,637 followers. Poetic sentences from the PT. KAI’s account always gets a higher response from netizens compared to informative posts with a stiff and standard language style. In fact, the posts are often re-uploaded by netizens on other personal social media platforms such as TikTok and Instagram, and receive reactions in the form of likes, shares and comments in quite significant numbers. For this reason, this research discusses PT KAI's social media branding strategy in the digital era with a focus on the poetic style tweets of PT KAI's X account @kai121. The method used is a qualitative-descriptive approach with content analysis techniques assisted by the Nvivo 12 application for analyzing computer-based qualitative data. This research analyzes content uploaded by the @kai121 account, during the period 1 December - 31 December 2023. The results show that poetic content related to love, sadness and life motivation received a high response from users. @kai121's tweet expresses feelings of sadness, hope and support in facing separation and life's journey. The tweet received a good response and shows consistency in the content uploaded.

A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators

This study explores the global problem of misinformation dissemination on social media, particularly Twitter, due to the COVID-19 pandemic. It identifies prominent disseminators, investigates the spread of false information and the ecosystem of disinformation spreaders, and assesses their online personalities. We track the interaction among fake news spreaders using the User-User Interaction Graph. The study reveals a rapidly growing population of disseminators, including professional spreaders, with over 3% dominating the others. The collaboration among fake news spreaders is high, highlighting the need for further research using publicly available online data to understand the community spreading malicious misinformation about COVID-19.

Celebritizing Dr. Fauci: Risk, Public Affection, and the “Total Package” of Scientific Expertise

ABSTRACT In the earliest days of COVID-19, Dr. Anthony Fauci earned a reputation that transcended the typical boundaries of public trust. Among progressive science advocates—particularly in social media spaces—Fauci developed an admiring fandom who saw him as a symbol and distillation of official scientific knowledge. In this essay, I combine insights from scholarship on ethos, public feeling, and risk to unpack the implications of Fauci’s “celebritization” on rhetorical understandings of expert-public relationships and the construction of risk and expertise. Specifically, I examine tweets from one viral X (formerly Twitter) account, the Anthony Fauci Fan Club (@FauciFan), to show how fans augment Fauci’s expertise through affection and moral praise, while carefully reiterating his (and science’s) reluctant, apolitical orientation and empirical commitments. These emotional engagements, I argue, constitute a potent form of tactical risk communication whereby publics claim a voice in larger discourses, and which acknowledges the entangled relationship between facts and feelings.

Arguing with numbers in social media based COVID-19 debates: A study of the argumentative functions of visual graphs

This study engages with a growing body of literature on numerical communication in COVID-19, which suggests that numbers and numerical measurements can be manipulated to shape governmental policy and public health measures. It uniquely focuses on numerical graphs generated through professional open-resource visualization tools but used by laypersons in social media debates. By combining theories of multimodality and linguistic theories of argumentativity, we analyzed Twitter interactions on COVID-19 policy that occurred on the Twitter account of a leading public health figure in Scotland. Our fine-grained qualitative analysis shows that while language choices are essential for establishing the argumentative context for graphs, choices about how to encode visual information, such as the placement of elements in the composition, can also provide information about the communicator’s intention. To understand the argumentative purpose of the graphs, the interlocutor needs to grasp not only how information is packaged in the multimodal message but also the argumentative agenda of the speaker/writer, which is encoded in their multimodal message and other contextual information.

Social media adoption and utilization by Physical Medicine & Rehabilitation residency programs and implications for remote resident recruitment.

We aim to investigate the association of Instagram and Twitter (rebranded X) adoption by Physical Medicine & Rehabilitation (PM&R) residencies with the number of National Resident Matching Program (NRMP) applications received in the 2020-2021 application cycle. Among 88 PM&R residency programs, 67 (77%) had Instagram accounts, 45 (51%) had Twitter accounts, and 41 (47%) had both. Forty (60%) Instagram accounts and 19 (42%) Twitter accounts were opened during the 2020-2021 application cycle, correlating with the introduction of virtual interviews and the COVID-19 pandemic. Residency programs with active Instagram or Twitter accounts had more NRMP applications (F(2,85) = 7.49, P = 0.001). Simple main effects analysis showed that programs with an Instagram account (P = 0.03) or a Twitter account (P = 0.03) received more residency applications. In multivariate linear regression analysis including presence of an Instagram account, program size, program setting, and program region, the presence of a Twitter account (coefficient 37.3, P = 0.04, 95% CI 1.71-72.96) and ≥ 16 residents in the residency program (coefficient 77.9, P < 0.001, 95% CI 44.43-111.31) were positively correlated with the number of residency applications. In conclusion, residency programs that were larger and adopted Twitter had more applicants in 2020-2021. Future research is needed to determine how social media activity impacts residency applicant decision-making.

Impoliteness Strategies of the Hate Comments on Twitter

This study aims to determine the Impoliteness Strategies of the Hate Comments on Twitter. This study was compiled using a qualitative descriptive research method. Data from hate comments made by netizens in response to the post of the son of the Indonesian president in the comments column of the official Twitter account belonging to Gibran Rakabuming Raka and data Sources from the official Twitter account of the vice presidential candidate. The number of data in this study is 50 data. The Instrument of Collecting Data uses Observation and Documentation and the method of collecting data uses searching, reading, choosing, capturing, and printing. The data was analyzed using the Formula P=F/N x100. From the research that has been done, it was found that there is a difference in the percentage between the five types of impoliteness strategies. In the bald on record, type 4 hate comment data were found with a percentage of 8%, positive impoliteness is 6 hate comment data with a percentage of 12%, negative impoliteness is 6 hate comment data with a percentage of 12%, sarcasm or mock impoliteness is 34 hate comment data with a percentage of 68%, and withhold impoliteness is 0 hate comment data with a percentage of 0%. So, it can be concluded that the most dominant type the impoliteness strategies in the results is sarcasm or mock impoliteness with a percentage of 68% in the thesis title Impoliteness Strategies of the Hate Comments on Twitter.

Twitter as Knowledge Commons: What Twitter Users Think and Do About Managing Misinformation Issues

ABSTRACTBased on the Governing Knowledge Commons framework, this study examines what users do and think about managing misinformation issues in the Twitter community, and how these are affected by user characteristics. Undergraduates from a public university in the US participated in the study (n = 464) by completing an online survey. Findings shed light on how Twitter community members tackle misinformation issues and inform policies and system designs to support the members' actions and preferences.

THE INFLUENCE OF MESSAGES IN SOCIAL MEDIA ON TAXPAYER COMPLIANCE

This study integrates the Theory of Planned Behavior (TPB) and the Elaboration Likelihood Model (ELM) to assess and explain taxpayers' compliance with the Twitter account @DitjenPajakRI. This is a quantitative study with an explanatory approach. A purposive sample strategy was used with a questionnaire to collect data for this research. A total of 200 people filled out the research questionnaire. According to the study’s findings, Source Credibility influences Attitudes, and the two TPB components, Attitudes and Perceived Behavioral Control, influence Taxpayer Compliance. As for the relationship between Argument Quality and Source Credibility on Attitudes, there is no moderating effect of Involvement; instead, the relationship between Source Credibility and Taxpayer Compliance through Attitudes is a full mediation relationship. The findings of this study can assist the tax authority in developing strategies and policies for efficiently and effectively communicating tax information to taxpayers as they make decisions about how to fulfill their tax rights and obligations through messages from central route, peripheral route, normative, and non-volitional processes.

Political elite social listening: How Portuguese MPs perceive their own motivations to join and use Twitter/X

Most studies on political actors’ use of Twitter focus on content and social network analysis, but not on their motivations and passive usage. We applied a questionnaire to a significant sample of 94 Members of Parliament (MPs), with a quota sample sized by political party representation in Parliament, to survey their motivations to have or not a Twitter account and their uses. We concluded that MPs see Twitter mostly as a political tool unlike other social media platforms. The most common motivation to join and use Twitter is to read other politicians’ opinions which helps explain why the small Twitter adoption in Portugal does not deter its use as their peers and political elite is on the platform. That twitter elite can even be a motivator to join as their peer social capital is key to re-election in closed list-elections countries such as Portugal.

The politics of platform folklore: Emotion, identity, and sense-making in far-right populist Twitter communities

Platforms are increasingly part of everyday life, but they remain opaque and impenetrable spaces for most users. To manage life on platforms, users thus need to engage with sense-making practices that help them understand and navigate online spaces. This paper studies how far-right populist activists interpret and navigate their presence on Twitter, using the concept of platform folklore, that is, unofficial and collective narratives aimed at relieving feelings of uncertainty associated with the opacity of platforms. The data consists of 20 life-history interviews with Swedish and American Twitter activists from right-wing populist communities, who all participated in populist Twitter debates. The analysis shows how platform folklore is constructed not only based on observations of content moderation, as emphasized in previous research, but also in correspondence with the political ideology and identities of the activists. This led them to interpret Twitter as a leftist organization that disfavored them, which stopped them from developing strategies to reach the goals they held as central to their Twitter activism. The paper concludes by discussing the role of emotions and ideology in platform folklore within political communities and suggesting directions for future research.

PUBLIC RESPONSES TO THE CUSTOMS OFFICIAL TWITTER ACCOUNT'S POSTS: PRAGMATIC APPROACH

The article explores the public's response to Indonesia’s Customs official Twitter account. The research uses a qualitative approach, focusing on content analysis methods. This research also utilizing the speech act theory, with a focus on illocutionary acts. The research data was collected by screenshots of 25 responses on Twitter. The analysis revealed that the responses were predominantly directive acts (8 responses), followed by expressive acts (6), declarative acts (5), representative acts (4), and commissive acts (2). The predominance of directive acts indicates that many responses aimed to influence others to boycott the customs agency, reflecting a strong public sentiment against the institution. This study also highlights the critical nature of social media interactions with government agencies and underlines the need for improved public engagement strategies. We hoping the results of this research can provide deeper understanding into the dynamics of communication between government institutions and the public via social media and its implications for public acceptance and perception.

Strategies for Identifying and Recruiting Women at High Risk for Breast Cancer for Research Outside of Clinical Settings: Observational Study.

Research is needed to understand and address barriers to risk management for women at high (≥20% lifetime) risk for breast cancer, but recruiting this population for research studies is challenging. This paper compares a variety of recruitment strategies used for a cross-sectional, observational study of high-risk women. Eligible participants were assigned female at birth, aged 25-85 years, English-speaking, living in the United States, and at high risk for breast cancer as defined by the American College of Radiology. Individuals were excluded if they had a personal history of breast cancer, prior bilateral mastectomy, medical contraindications for magnetic resonance imaging, or were not up-to-date on screening mammography per American College of Radiology guidelines. Participants were recruited from August 2020 to January 2021 using the following mechanisms: targeted Facebook advertisements, Twitter posts, ResearchMatch (a web-based research recruitment database), community partner promotions, paper flyers, and community outreach events. Interested individuals were directed to a secure website with eligibility screening questions. Participants self-reported method of recruitment during the eligibility screening. For each recruitment strategy, we calculated the rate of eligible respondents and completed surveys, costs per eligible participant, and participant demographics. We received 1566 unique responses to the eligibility screener. Participants most often reported recruitment via Facebook advertisements (724/1566, 46%) and ResearchMatch (646/1566, 41%). Community partner promotions resulted in the highest proportion of eligible respondents (24/46, 52%), while ResearchMatch had the lowest proportion of eligible respondents (73/646, 11%). Word of mouth was the most cost-effective recruitment strategy (US $4.66 per completed survey response) and paper flyers were the least cost-effective (US $1448.13 per completed survey response). The demographic characteristics of eligible respondents varied by recruitment strategy: Twitter posts and community outreach events resulted in the highest proportion of Hispanic or Latina women (1/4, 25% and 2/6, 33%, respectively), and community partner promotions resulted in the highest proportion of non-Hispanic Black women (4/24, 17%). Although recruitment strategies varied in their yield of study participants, results overall support the feasibility of identifying and recruiting women at high risk for breast cancer outside of clinical settings. Researchers must balance the associated costs and participant yield of various recruitment strategies in planning future studies focused on high-risk women.

Academic productivity and content from social media influencers in vascular surgery compared to complementary specialties

ObjectiveSocial media (SoMe) plays a growing role in disseminating scientific information to health care professionals, patients, and the public. This study analyzes the influence of vascular care providers on Twitter (now X), comparing top influencers across specialties and exploring the connection between social media impact and academic productivity. MethodsA text search of Twitter bios in 2022 identified all United States-based users who self-identify as vascular surgeons (VSs), cardiothoracic surgeons (CTSs), interventional cardiologists (ICs), or interventional radiologists (IRs). The top 100 influencers in each specialty were selected based on number of followers. Social Authority (SA) was also used to evaluate Twitter influence. Standardized internet searches and publicly available data were used to obtain H-index, publication number, university affiliation, and professorship. The Twitter API was used to generate a tweet archive of each user’s last 3200 tweets, and specialty-related hashtags and mentions were compared. ResultsWe identified 8321 Twitter handles of users across four specialties, of which 1489 were included for analysis: VS (n = 310), CTS (n = 152), IC (n = 672), and IR (n = 355). Of the top 100 influencers ranked by follower count, most CTS (72%) and VS (67%) users were academically affiliated. Top VS influencers had a higher SA compared with CTS influencers (48 ± 6.0 vs 38 ± 11.4; P < .001) but lower SA than IC influencers (55 ± 6.4; P < .001). VSs also had fewer followers per user than ICs (1606 ± 1338 vs 4420 ± 7415; P < .001), but not CTSs or IRs. Among academically affiliated Twitter users, VSs had similar H-indices (19 ± 16), publications per user (88 ± 106), and citations per user (2547 ± 5182) as ICs, CTSs, and IRs (P > .050 for all). Academic rank was similar across specialties (P = .99), with most users representing assistant professors (30%-44%). A total of 1,063,419 of the most recent tweets from all users were analyzed. Forty-seven of the top 100 most tweeted handles belonged to individual IC accounts, and included international physicians and those who did not self-identify as ICs based on their bio text. Only six of the top 100 most tweeted handles were VSs. Over 20,000 unique hash tags were identified in the tweet archive. Of the top 100 most tweeted hashtags, 21 contained general cardiology subject matter, 16 related to IC-specific subject matter, eight pertained to VS-specific subject matter, and 12 were disease-specific hashtags that are treated by multiple specialties. ConclusionsWhen compared with complimentary specialists, VSs have lower SoMe influence than ICs, but similar influence as CTSs and IRs. VSs should engage with complimentary specialists to increase their SoMe reach and enhance the dissemination of vascular surgery-related content.

Komunikasi Tanpa Nama yang Jujur dan Terbuka : Studi Kasus pada Akun @Komunitasmaunangisaja di Twitter (X)

This study analyzes the phenomenon of anonymous communication on the Twitter account (X) @komunitasmaunangisaja and its impact on users' mental health using a transcendental phenomenology approach. Data collection methods include direct observation, content analysis of tweets, and in-depth interviews with account users. Findings indicate that anonymous communication on this account positively impacts mental health by reducing feelings of isolation and enhancing emotional well-being. Users feel more free to express their feelings without fear of judgment, helping to alleviate emotional burdens and gain community support. However, there are also negative impacts, such as dissatisfaction with received responses and the risk of anonymity abuse for negative behavior. The study also reveals that users frequently turn to anonymous communication to cope with stress, anxiety, and depression. This platform provides a space for sharing deep emotions and experiences, facilitating a sense of togetherness and emotional release. Community support helps users feel validated and understood, contributing to overall mental health improvement. This study highlights the importance of such platforms in creating a safe environment for emotional expression, ultimately contributing to better mental well-being, and emphasizes the need for more supportive online communities

Understanding the current backlash against LGBTIQ+ rights through the lens of heteroactivism: A case study of the International Organization for the Family’s transnational norm diffusion on Twitter

Abstract A new generation of transnational anti-gender actors are framing themselves as human rights champions and protectors of the rights of the “natural family”. To better understand these actors’ norm diffusion, including their re-styling of anti-gender narratives in contemporary iterations of heteroactivism and its potential threat to LGBTIQ+ rights, in this article we analyse the social media tactics of a key transnational anti-gender actor: the International Organization for the Family (IOF). The analysis is focused on the organisation’s Twitter (now X) account and we draw on theories of network media logic, connective action, and connective emotions. Two periods of activism – the first a low-intensity period in 2021 and the second a high-intensity period in 2022 – were purposefully selected for the analysis. In this article, we identify differences between the two periods, noting that the period covering the flagship event, the World Congress of Families (WCF) in 2022, was markedly less LGBTIQ-hostile and adversarial than the first period. IOF thus appears to be inspired by heteroactivist frames during the WCF and abides by logic that should trigger user interaction and content spreading. The lack of interactions and engagement with IOF Twitter content in either period indicates the need for more research on which logics apply to anti-gender audiences. We discuss the findings and what they may imply in a context like Sweden, a country whose self-image as a global champion for women’s and LGBTIQ+ rights may make it ill-equipped to counter the onslaught of transnational actors’ norm entrepreneurial activities.

The Analysis of President Biden's Twitter Account's Representative Illocutionary Act

Representative illocutionary acts are speech acts that convey truth values based on the actual meaning of the spoken or written utterances. This research aims to identify the types and purposes of representative illocutionary acts contained in President Biden's Twitter account. The present research is grounded in John R. Searle's theory, which posits that a representative illocutionary act refers to a statement made by a speaker that is believed to be either true or untrue, depending on a prior event witnessed by the speaker. This study employs a qualitative research methodology. The subject of investigation in this research consists of President Biden's tweets, which are utilized as the primary data source. The statements are classified and examined based on the categories of representative illocutionary acts and their roles. The research findings identify various types of representative illocutionary acts that serve distinct roles based on their respective types. The act of recommending, as a typical illocutionary act, holds a significant impact due to Joe Biden's position as the president of a mighty nation. As the leader of a country with substantial capital, advanced industry, and a formidable military, Biden wields considerable global influence. Hence, the tweets of President Biden are not only monitored by American citizens but also by global citizens. Furthermore, President Biden's statements are currently a prominent global concern. President Biden frequently offers recommendations to the citizenry, who are an audience impacted by various issues or challenges, to resolve them.Keywords: Illocutionary Act; President Biden; Representative Act; Twitter Account.

Tindak Tutur Ilokusi Dalam Cuitan Twitter Cawapres Gibran Rakabuming Raka Dalam Masa Kampanye Kontestasi Pilpres 2024

This article discusses the use of language in communication, specifically focusing on the concept of pragmatics and expanding it to understanding the meaning behind words. This highlights the importance of considering the context in which language is used, as well as the intention of the speaker, to fully understand the message conveyed. This article aims to describe illocutionary speech acts in tweets on the Twitter account of vice presidential candidate Gibran Rakabuming Raka during the 2024 presidential election contestation campaign. This research is a type of qualitative descriptive research, with data in the form of tweets. This research shows the existence of illocutionary speech acts in several tweets on the Twitter account @gibran_tweet. The data collection technique in this research uses the note-taking technique. The research results found that there were 26 illocutionary speech acts with details of 7 assertive speech acts, 5 directive speech acts, 4 expressive speech acts, 6 commissive speech acts, and 4 expressive speech acts. The benefits of this research can be used as a reference for further relevant research.

Sustainability Strategic Framing in Corporate Communication: Contextual Semantics of Twitter in the Energy Sector

Sustainability has become the prevailing paradigm, a model of conduct, and a central theme in social and media discourses within the past decade. However, it is still a marginal development concept in the interdisciplinary research field dealing with sustainability communication, especially with meaning-making processes in relevant communicative, for example, in corporate and industry contexts. This paper focuses on how the idea of sustainability is framed, anchored, and disseminated in energy companies' communication via social media channels and how the linguistic methods used by energy corporations concerning sustainability co -create theirsymbolic value. Specifically, this study has aimed to understand how the sustainability topic was discussed in the Twitter sphere of the most prominent energy companies in 2020. This study makes a three -fold contribution to sustainable research and practice. First, the study identifies the framing structure of sustainability content in social media communication in the energy sector. Secondly, the study identifies social media data as a viable source of sustainability conceptualization and its understanding through communication. Finally, this study illustrates how text mining and natural language processing (NLP) can be used as a research method for managing big text data and a tool for discovering latent communication structures. Sustainability is present and visible in the communication of the energy industry identified by (1) the semantic construction of phrases in communication that show a future, green, and clean orientation, but it is also strongly declarative, referring to what will be and can be done, and with positive emotions related to the communicated messages; and (2) decoupling from climate change and thus avoiding the industry's responsibility for the impact of global warming but promising clean, sustainable energy transformation and to avoid negative emotional connotation. However, one gets the impression that it takes on the character of a rhetorical art form related to the concept of decorum. In this view, the idea of sustainability is interpreted and shaped through the needs of the industry and as a rhetorical tool in building a positive narrative about companies and is used to gain legitimacy.

Valuing Trans Lives After Suicide: Rituals of Commemoration in Digital Social Media Culture

In 2014, a trans teenager named Leelah Alcorn posted a suicide letter to her public Tumblr account. Almost a decade later, in 2023, Eden Knight, another young trans woman, posted a suicide letter to her public Twitter account. Both suicide letters went viral and inspired memorial hashtags on the platforms where they initially circulated. In this article, I identify similarities between the cases, conceptualizing both as rituals of commemoration aimed toward restoring value to trans lives lost too soon. My analysis shows how ordinary users leverage the connective affordances embedded within popular social media platforms to sustain structured, value-laden acts of remembrance and mourning. In doing so, I elucidate four stages of the ritual process: (1) sharing suicide letters, (2) enshrining selfies, (3) modulating memories, and (4) casting blame. Ultimately, I argue that trans-led rituals of commemoration can function as justice-oriented tactics of resistance against engrained systems of oppression that perpetuate disproportionally high rates of early death within trans communities.

Stakeholder Perspectives on the Role of Social Media in Urban Green Space, Land Management, and Resilience in Gilgit-Baltistan

The primary focus of this study is to explore stakeholders’ perspectives on how social media platforms like Facebook, WhatsApp, and Twitter influence land management practices and community engagement. Employing a qualitative methodology, this research delves into the complex interactions facilitated by social media, using thematic analysis to identify key themes related to communication, collaboration, empowerment, and awareness-raising among stakeholders such as local authorities, community members, environmental activists, and urban planners. The findings reveal that social media significantly enhances transparent communication channels, fosters collaboration among stakeholders, empowers local communities, and raises awareness about the importance of urban green spaces. However, challenges such as connectivity and literacy barriers persist, alongside opportunities for greater involvement and innovation. This study emphasizes the critical role of digital platforms in advancing sustainable land management practices, offering valuable insights for policymakers, urban planners, and community stakeholders. Future research should explore specific communication strategies, the impact of social influencers, and the integration of emerging technologies in urban planning. Ultimately, this research contributes to the understanding of how social media can support the development of environmentally friendly and resilient communities.