Public Social Media Research Articles

Tourism Village Development through Media Extension and Marketing Promotion Communication

Tourism villages are community-based and sustainable development, aiming to improve people's welfare, environmental and cultural sustainability, and improve the quality of human resources. Efforts to increase tourist visits to tourist villages by conducting marketing promotions. The key to marketing promotion is proper communication with potential tourists using the right media. The purpose of this study was to analyze the application of integrated marketing communication for tourism village marketing promotions. The theory used is Robyn Blakeman's integrated marketing communication theory. This study uses a mixed method with data collection through questionnaires, observation, in-depth interviews, and Focus Group Discussion (FGD). Data were analyzed using quantitative descriptive analysis and qualitative analysis. The research informants came from elements of the village government, tourism village managers, women's groups, and business groups. The research location was in Cikakak Village, Wangon District, Banyumas Regency, Central Java Province, Indonesia. The research results show: (1) Media have been implemented, with different application intensities. (2) Promotional media that are often or always used include public relations, social media, the internet, telephone and SMS, alternative media, and personal selling. (3) Promotional media that are rarely used include advertising, billboards, direct marketing, and sales promotion media that are rarely used include advertising, billboards, direct marketing, and sales promotion.

Taming The Wilds: tactical urbanism and creative placemaking in the revitalisation of a nature reserve in Johannesburg, South Africa

Th e use of tactical urbanism and creative placemaking in the revitalisation of public space has received growing research interest. In Johannesburg, there is evidence of these approaches in the revitalisation of Th e Wilds, a nature reserve located near the inner-city. Th e Wilds experienced neglect and decline due to increased crime. By the mid-2010s, an artist championed the bottom-up revitalisation of Th e Wilds through routine maintenance, the introduction of public art, and events to encourage engagement with the space. Th is study draws on personal communication and semi-structured interviews with key informants and utilises netnography. It was found that the use of public art and social media resulted in an increase in visitor numbers and volunteers who assisted in the maintenance, restoration and engagement with the space. Th e use of tactical urbanism and creative placemaking, however, has brought volunteers into conflict with the city over the usage and co-management of The Wilds.

Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data

Opioid poisoning mortality is a substantial public health crisis in the United States, with opioids involved in approximately 75% of the nearly 1 million drug related deaths since 1999. Research suggests that the epidemic is driven by both over-prescribing and social and psychological determinants such as economic stability, hopelessness, and isolation. Hindering this research is a lack of measurements of these social and psychological constructs at fine-grained spatial and temporal resolutions. To address this issue, we use a multi-modal data set consisting of natural language from Twitter, psychometric self-reports of depression and well-being, and traditional area-based measures of socio-demographics and health-related risk factors. Unlike previous work using social media data, we do not rely on opioid or substance related keywords to track community poisonings. Instead, we leverage a large, open vocabulary of thousands of words in order to fully characterize communities suffering from opioid poisoning, using a sample of 1.5 billion tweets from 6 million U.S. county mapped Twitter users. Results show that Twitter language predicted opioid poisoning mortality better than factors relating to socio-demographics, access to healthcare, physical pain, and psychological well-being. Additionally, risk factors revealed by the Twitter language analysis included negative emotions, discussions of long work hours, and boredom, whereas protective factors included resilience, travel/leisure, and positive emotions, dovetailing with results from the psychometric self-report data. The results show that natural language from public social media can be used as a surveillance tool for both predicting community opioid poisonings and understanding the dynamic social and psychological nature of the epidemic.

Social Capital from Online Social Media is Associated with Visiting a Healthcare Practitioner at Least Once a Year Among College Students.

: Social capital is positively associated with healthcare access such as healthcare practitioner visits. There does not appear to be any literature on social capital through online social media and its association with healthcare access such as healthcare practitioner visits. This paper studies the relationship between social capital through online social media use and healthcare practitioner visits. Methods: Data were analyzed from 663 participants in New York City in 2017 with exposure to social media prescription medication advertisements from social media (e.g., Facebook, Twitter, LinkedIn, Instagram, YouTube). The main predictor variable was visiting a healthcare practitioner at least once a year. Outcome variables were bonding social capital and bridging social capital from online social media. Results: Those who visited a healthcare practitioner at least once a year had greater mean bonding social capital and bridging social capital from online social media than those who did not visit a healthcare practitioner at least once a year. Multivariate linear regression analyses showed a similar pattern for not visiting a healthcare practitioner at least once a year (bonding social capital: b=-5.31, SE=1.68, p=0.002; bridging social capital: b=-3.27, SE=1.55, p=0.04). Conclusions: Government organizations, healthcare practitioners, and healthcare organizations should continue marketing and disseminating health education for young adults through online social media. This public health online social media health education is likely to be considered bonding social capital and/or bridging social capital by young adults and this may be associated with more young adults visiting healthcare practitioners at least once a year.

Practices and Challenges of Government Public Accountability During the COVID-19 Pandemic: The Response of the British Government

Since the COVID-19 pandemic, government response and accountability have been widely discussed by researchers. This research explores and evaluates the government’s response to the crisis and the impact of the COVID-19 pandemic on accountability. This is achieved by discussing the concept of accountability from the perspective of institutional theory. This study uses unstructured literature review methods and a single case study designed with qualitative research methods. The data comes from secondary data (such as British public sector social media, websites, and published reports). It analyses the dynamics of public accountability in the UK during the pandemic. This research shows that during the COVID-19 pandemic, the traditional public accountability system will be challenged, and the government has made some failed responses. At the same time, national audit institutions and researchers should consider exploring a new accountability system to improve accountability efficiency, which will help increase public participation and government transparency, and combat corruption in prolonged crises. Through the reflection on the crisis period, this study strengthens the understanding of accountability in the crisis period, and puts forward some suggestions to improve accountability, which can enlighten decision-makers on how to arrange public accountability in the future.

Understanding the impact of social stigma on the patient journey in Alzheimer’s disease through social media narratives

AbstractBackgroundPatients living with Alzheimer’s disease (AD) and their caregivers/health care providers (HCP) recognize the importance of social stigma; however, traditional surveys do not capture nuances of experienced stigma. We sought to systematically study stigma in AD using social media narratives.MethodOnline narratives posted by patients with AD, caregivers, and HCPs (ie, stakeholders) were collected from 84 public social media sites from 1998‐2021. Using RLS Reveal’s Natural Language Processing (NLP) platform, we identified stakeholder narratives containing ‘stigma’‐related terms. NLP algorithms and manual curation, alongside subject matter expert review, were used to analyze the narratives. Data were examined by stages of the patient journey: pre‐diagnosis, diagnosis, and post‐diagnosis.ResultA total of 112,464 online narratives from AD stakeholders were screened; 4,392 (4%) that specifically mentioned stigma‐related terms were identified and are the focus of this analysis. Most narratives were by caregivers (n = 1917), followed by patients (n = 342) and HCP (n = 306). The majority of narratives (n = 3968; 90.3%) were in the post‐diagnosis phase of the patient journey, followed by diagnosis (n = 304; 6.9%), and pre‐diagnosis (n = 120; 2.7%). In the pre‐diagnosis phase, 78% of the narratives were posted by caregivers, 11% by HCPs, and 11% by patients. Lack of support was the most common theme identified in 73/120 (60.8%) of pre‐diagnosis narratives – mostly by caregivers (38/73; 52.1%). During the diagnosis phase, 47% of the narratives were posted by caregivers, 28% by HCPs, and 25% by patients. A feeling that support/advocacy is lacking was a common theme, and identified in 128/304 (42.1%) of the diagnosis phase narratives. In the post‐diagnosis phase, 78% of the narratives were posted by caregivers, 10% by HCPs, and 12% by patients; the fear/worry caused by stigma was the most common theme and identified in 2467/3968 (62.2%) of these narratives. In addition, stakeholders discussed the feeling of shame related to the AD diagnosis – a theme identified in 1,017/3,968 (25.6%) of post‐diagnosis narratives.ConclusionWe found that social media narratives by various AD stakeholders identified a negative impact of stigma throughout the patient journey.

0662 Digital sleep-health surveillance: Population nightmare frequency is observable in social media

Abstract Introduction Nightmares are a critical component of multidimensional sleep health. Frequent nightmare recallers suffer reduced sleep length, depressed mood, and are more likely to be diagnosed with a psychiatric disorder in the future. Reliable population estimates of nightmare frequency are difficult to obtain and often restricted to rigid timepoints (e.g., once per year). Thus, there is a need for low-cost methods to track population levels of nightmare frequency and their dynamic changes over time. In the current study, we tracked dream content and nightmare frequency using a popular new approach – digital health surveillance – that analyzes language of public and freely-accessible social media posts to track population characteristics. Methods To evaluate whether social media could detect known changes in population sleep health, we extracted posts from r/Dreaming, a popular subreddit dedicated to dream sharing. Prior survey studies have shown a reliable increase in nightmare frequency during the first wave of the COVID-19 pandemic. Thus, we quantified the amount of nightmares posted on Reddit surrounding the World Health Organization’s (WHO) declaration of a COVID-19 as a global pandemic. Nightmares were identified using a word-search algorithm that identified nightmare-related words in a post title. Nightmare frequency was compared before and after the WHO declaration using a chi-squared analysis. Results The percentage of dreams posted on Reddit that were identified as nightmares was higher after the WHO declaration than before (p < .05). Additionally, the amount of anxiety in all dreams posted on Reddit was higher after the WHO declaration than before (p < .05). Weekly change in dream anxiety was positively correlated with the percentage of COVID-19 news headlines (p < .05). Conclusion We observed an increase in nightmares shared on Reddit immediately following the WHO’s declaration of COVID-19 as a global pandemic. This novel approach to tracking nightmares might offer the field of sleep medicine a low-cost and real-time system for monitoring population sleep health. Other recent work suggests this method might be viable for tracking other components of sleep health. Support (if any)

Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study.

Antivaccination views pervade online social media, fueling distrust in scientific expertise and increasing the number of vaccine-hesitant individuals. Although previous studies focused on specific countries, the COVID-19 pandemic has brought the vaccination discourse worldwide, underpinning the need to tackle low-credible information flows on a global scale to design effective countermeasures. This study aimed to quantify cross-border misinformation flows among users exposed to antivaccination (no-vax) content and the effects of content moderation on vaccine-related misinformation. We collected 316 million vaccine-related Twitter (Twitter, Inc) messages in 18 languages from October 2019 to March 2021. We geolocated users in 28 different countries and reconstructed a retweet network and cosharing network for each country. We identified communities of users exposed to no-vax content by detecting communities in the retweet network via hierarchical clustering and manual annotation. We collected a list of low-credibility domains and quantified the interactions and misinformation flows among no-vax communities of different countries. The findings showed that during the pandemic, no-vax communities became more central in the country-specific debates and their cross-border connections strengthened, revealing a global Twitter antivaccination network. US users are central in this network, whereas Russian users also became net exporters of misinformation during vaccination rollout. Interestingly, we found that Twitter's content moderation efforts, in particular the suspension of users following the January 6 US Capitol attack, had a worldwide impact in reducing the spread of misinformation about vaccines. These findings may help public health institutions and social media platforms mitigate the spread of health-related, low-credibility information by revealing vulnerable web-based communities.

Capitalizing on social media: An evaluation of the public’s preferences for plastic surgery social media content

The effectiveness of utilizing social media platforms to promote clinical practices and attract patients has been well established. This study aimed to assess what plastic surgery social media content and educational material the public is most responsive to.An anonymous 25-question survey was distributed using REDCap and Amazon's Mechanical Turk to ascertain demographic information, patterns of social media use, levels of interest in plastic surgery, and preferences for plastic surgery content.Of 401 participants, the typical respondent was between 25 and 34 years old and on social media daily. Almost half of the respondents (46.1%) have intentionally viewed plastic surgery content on social media, of which most used Instagram (71.1%) and Facebook (55.4%). Participants grouped as either younger or older than 35 years old were equally likely to have viewed plastic surgery content (p = 0.33). Content categories with the highest interest were before and after results (mean Likert weight 4.00 ± 1.10), patient testimonials (3.73 ± 1.15), and recovery process (3.67 ± 1.14). Content on celebrities (2.89 ± 1.17), comedic videos (2.79 ± 1.19), and surgeons' private lives (2.51 ± 1.08) received negative interest. Photo posts (51.4%) were preferred more than video posts (27.2%). Before and after results on social media were the most influential factor in the selection of a plastic surgeon (45.9%).The importance of social media for plastic surgeons to be able to interact with patients is at unprecedented heights. Understanding patterns of the public's social media content preferences will help plastic surgeons optimize their social media reach and influence their target audience.

Sociopragmatic Analysis of Filipino Celebrities’ Posts and Fans’ Comments

The phenomenon of hate speech occurring in one's nation and the relationship between social media celebrities and their audience is very interesting to draw. Social media has changed how people interact, comprehend, and respond to online discourse. This paper looks at the topics posted by celebrities as sources of information through the lens of the dimensions of online persona and hostile fan comments through impoliteness theory and Crystal's theory of language and technology, respectively. The data were collected from the leading social media platforms in the Philippines, namely, Facebook, Instagram, and Twitter. The study shows that toxic online discourse was pervasive during the entire election period. Most celebrities use the public dimension (41%) and social media fans frequently on graphology (88%), bald-on record (33%), and sarcasm or mock politeness strategy (33%). The study also found two primary trigger mechanisms: the surrounding context of the social media celebrity's post and the social media fans' behavior in their use of language.

Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum

The rapid expansion of virtual health care has caused a surge in patient messages concomitant with more work and burnout among health care professionals. Artificial intelligence (AI) assistants could potentially aid in creating answers to patient questions by drafting responses that could be reviewed by clinicians. To evaluate the ability of an AI chatbot assistant (ChatGPT), released in November 2022, to provide quality and empathetic responses to patient questions. In this cross-sectional study, a public and nonidentifiable database of questions from a public social media forum (Reddit's r/AskDocs) was used to randomly draw 195 exchanges from October 2022 where a verified physician responded to a public question. Chatbot responses were generated by entering the original question into a fresh session (without prior questions having been asked in the session) on December 22 and 23, 2022. The original question along with anonymized and randomly ordered physician and chatbot responses were evaluated in triplicate by a team of licensed health care professionals. Evaluators chose "which response was better" and judged both "the quality of information provided" (very poor, poor, acceptable, good, or very good) and "the empathy or bedside manner provided" (not empathetic, slightly empathetic, moderately empathetic, empathetic, and very empathetic). Mean outcomes were ordered on a 1 to 5 scale and compared between chatbot and physicians. Of the 195 questions and responses, evaluators preferred chatbot responses to physician responses in 78.6% (95% CI, 75.0%-81.8%) of the 585 evaluations. Mean (IQR) physician responses were significantly shorter than chatbot responses (52 [17-62] words vs 211 [168-245] words; t = 25.4; P < .001). Chatbot responses were rated of significantly higher quality than physician responses (t = 13.3; P < .001). The proportion of responses rated as good or very good quality (≥ 4), for instance, was higher for chatbot than physicians (chatbot: 78.5%, 95% CI, 72.3%-84.1%; physicians: 22.1%, 95% CI, 16.4%-28.2%;). This amounted to 3.6 times higher prevalence of good or very good quality responses for the chatbot. Chatbot responses were also rated significantly more empathetic than physician responses (t = 18.9; P < .001). The proportion of responses rated empathetic or very empathetic (≥4) was higher for chatbot than for physicians (physicians: 4.6%, 95% CI, 2.1%-7.7%; chatbot: 45.1%, 95% CI, 38.5%-51.8%; physicians: 4.6%, 95% CI, 2.1%-7.7%). This amounted to 9.8 times higher prevalence of empathetic or very empathetic responses for the chatbot. In this cross-sectional study, a chatbot generated quality and empathetic responses to patient questions posed in an online forum. Further exploration of this technology is warranted in clinical settings, such as using chatbot to draft responses that physicians could then edit. Randomized trials could assess further if using AI assistants might improve responses, lower clinician burnout, and improve patient outcomes.

A Survey on the Significance of Artificial intelligence (AI) in Network cybersecurity

Virtual environments providing public services, private businesses, and social media platforms occupy a large portion of our time. Cybercriminals should refrain from stealing data or compromising systems in these settings. Cybersecurity refers to the actions taken at the executive, organisational, and technological levels to protect data, communication networks, and electronic information from unauthorised access, use, or disclosure. Additionally, it must manage all necessary criteria to safeguard customers from dangers and intrusions while simultaneously improving the security, privacy, and secrecy of personal data. The literature reviewed here focuses on artificial intelligence (AI) as it relates to cybersecurity, protecting computer systems from assault, hacking, and data theft. An overview of seminal works on the topic of deep learning and machine learning as they pertain to cybersecurity is provided in this study. Machine learning and deep learning algorithms also regulate computer system infiltration by predicting and understanding harmful software behavior and traffic, which protects against illegal admission

Generational effects of culture and digital media in former Soviet Republics

In public opinion, social and digital media provide means for influence as well as sorting according to pre-existing values. Here we consider types of media usage versus opinion using new polling results in the former Soviet republics (FSRs) of Belarus, Ukraine, and Georgia. Over 1000 individuals in each country were asked about a news event (the January 6 riot at the U.S. Capitol) and about the long-term future of their country. We find that year of birth and country of residence, rather than self-reported media reliance, consistently predicted the respondents’ views, particularly on the future of their country. The timing of these differences suggests a cultural difference between generations growing up in the Soviet Union (likely more pro-Russian) versus afterward, in an FSR (more pro-Western). Whereas digital media choice is somewhat correlated with perceptions of a recent, international news event, the more predictive factors are longer-term cultural values and age cohorts within each nation.

Predicting the results of the 16-factor R. Cattell test based on the analysis of text posts of social network users

We investigated the possibility of automating the prediction of the 16-factor personality traits by R. Cattell from text posts of social media users. The proposed new method of automating the evaluation of R. Kettell’s 16-factor personality test traits includes language models and neural networks. Implementation of the method involves several steps. At the first step text posts are extracted from user accounts of social media, pre-processed with language model RuBERT and previously trained over a full-connected neural network. The result of this step is a normalized empirical distribution of the posts by the previously introduced classes for each user. Subsequently, based on the distribution of user posts the evaluation of the expression of psychological features of the user is made with the help of support vector machine, random forest and Naive Bayesian classifier. The final data set for model building and further testing their performance was made up of 183 respondents who took the R. Cattell test, with links to their public social media accounts. Classifiers predicting results for six factors (A, B, F, I, N, Q1) of R. Cattells 16-factor personality test were constructed. The results can be used to create a prototype of automated system for predicting the severity of psychological features of social media users. Results of work are useful in the applied and research systems connected with marketing, psychology and sociology, and also in the field of protection of users from social engineering attacks.

Awareness and salience in language contact The case of Asturian Spanish

Awareness of a sociolinguistic variable and linguistic behavior are intricately connected, such that the former can influence speakers’ use of particular linguistic variants. As a result, exploring awareness and salience as part of linguistic variation is crucial to fully understanding the linguistic choices that speakers make in interaction and the social meaning of the variants they employ. In this article, I investigate how patterns in the production and perception of Asturian features might be explained by examining their cognitive and social salience, and the different levels of sociolinguistic awareness observed in the communities in which Spanish and Asturian are in contact. After an analysis of metalinguistic discourse on public social media, the article explores the effect of cognitive salience and explicit awareness on the perceptions of the Asturian gender morphemes /-u/ and /-es/, as well as how the availability of Asturian “ye” to index interactional stances relates to the speakers’ awareness of this sociolinguistic variant, its symbolism, and their control over its use. I show that different dimensions of salience and awareness affect the indexical fields of these contact variants, allowing some features to become markers of Asturian identity and social status, to adopt particular styles, and to be employed as stance-marking units based on the speakers’ interactional needs.

A Case Study on Wadas Community Social Movement: Community Resistance Movement Against Mining Development

This study aims to analyze the social movements of the Wadas community related to mining development in Wadas Village. Data sources were obtained by capturing news related to hashtags and at-signs, which Twitter social media users widely use to support resistance and rejection by Wadas people. This study uses a qualitative research method with a case study approach. Data analysis used the NVivo12 software application to visualize the data in graphs, images, and word frequency. The research findings show that the plan to build the Bener Dam in Purworejo District and Wonosobo Regency has experienced a very significant rejection with the circulation of two social movements on social media, Twitter, in the form of hashtags and at-signs as evidence of resistance to the mining project located in Wadas village. #Wadasmelawan is the most popular hashtag often echoed on Twitter social media with a percentage of 3.38%. The Wadas community social movement subsequently used at-sign @Ganjarpranowo, who is also highlighted in the public sphere and social media, is required to resolve mining conflicts due to permits Location Determination (IPL) for andesite mining from the Governor of Central Java Province. Two Wadas social movements using hashtags and at-signs invite a reasonably high response on Twitter users with as many as 89.34% tweets. This means that the community's resistance to mining in Wadas is very significant in getting support from the public.

Advocacy of violence against women through the implementation of cyber public relations at the Rifka Annisa women's Crisis Center

This research examines the implementation of Cyber Public Relations at the Rifka Annisa Women's Crisis Center (Rifka Annisa WCC) in advocating public awareness of violence against women. This study aims to identify the obstacles Rifka Annisa WCC faces in managing Cyber Public Relations activities, analyze how they address those obstacles, and examine the impact of Cyber Public Relations implementation on advocacy of violence against women.. This research employs a qualitative case study method through observation and in-depth interviews with Rifka Annisa WCC's media officer. The study objectives are presented using the concepts of Cyber Public Relations and Social Media. The study results found that the lack of human resources in managing social media hindered Rifka Annisa WCC in optimizing Cyber Public Relations activities to advocates public awareness. To address this obstacle, Rifka Annisa WCC focuses on using Instagram as an online advocacy tool. Furthermore, the application of Cyber Public Relations in Rifka Annisa WCC's advocacy activities had a significant impact on aspects of community literacy regarding the discourse on violence against women, as well as changes in the behavior of victims of violence and the larger community in responding to violence against women.

ADAM MOSSERI: CONSTRUCTING INSTAGRAM’S TOP DAD

Using a detailed content analysis of his public commentary, public social media posts, and captured ephemeral social media, this paper argues that Head of Instagram Adam Mosseri has strategically constructed a public persona as an active, engaged and concerned parent. While this parenting persona emerges from a relatively typical combination of professional and personal/parenting content, I argue this persona has been strategically developed to be leveraged as Meta pursues ‘Instagram Kids’ or other apps aimed at under13s which ostensibly empower parents as initial moderators of the children’s online experiences but are simultaneously rich sources of children’s personal data and activity, something of great monetizable value to Instagram and parent company, Meta.

Patient and Caregiver Perceptions of Advanced Bladder Cancer Systemic Treatments: Infodemiology Study Based on Social Media Data.

In 2022, it was estimated that more than 80,000 new cases of bladder cancer (BC) were diagnosed in the United States, 12% of which were locally advanced or metastatic BC (advanced BC). These forms of cancer are aggressive and have a poor prognosis, with a 5-year survival rate of 7.7% for metastatic BC. Despite recent therapeutic advances for advanced BC, little is known about patient and caregiver perceptions of different systemic treatments. To further explore this topic, social media can be used to collect the perceptions of patients and caregivers when they discuss their experiences on forums and online communities. The aim of this study was to assess patient and caregiver perceptions of chemotherapy and immunotherapy for treating advanced BC from social media-posted data. Public posts on social media in the United States between January 2015 and April 2021 from patients with advanced BC and their caregivers were collected. The posts included in this analysis were geolocalized to the United States; collected from publicly available domains and sites, including social media sites such as Twitter and forums such as patient association forums; and were written in English. Posts mentioning any line of chemotherapy or immunotherapy were qualitatively analyzed by two researchers to classify perceptions of treatments (positive, negative, mixed, or without perception). A total of 80 posts by 69 patients and 142 posts by 127 caregivers mentioning chemotherapy, and 42 posts by 31 patients and 35 posts by 32 caregivers mentioning immunotherapy were included for analysis. These posts were retrieved from 39 public social media sites. Among patients with advanced BC and their caregivers, treatment perceptions of chemotherapy were more negative (36%) than positive (7%). Most of the patients' posts (71%) mentioned chemotherapy factually without expressing a perception of the treatment. The caregivers' perceptions of treatment were negative in 44%, mixed in 8%, and positive in 7% of posts. In combined patient and caregiver posts, immunotherapy was perceived positively in 47% of posts and negatively in 22% of posts. Caregivers also posted more negative perceptions (37%) of immunotherapy than patients (9%). Negative perceptions of both chemotherapy and immunotherapy were mainly due to side effects and perceived lack of effectiveness. Despite chemotherapy being standard first-line therapy for advanced BC, negative perceptions were identified on social media, particularly among caregivers. Addressing these negative perceptions of treatment may improve treatment adoption. Strengthening support for patients receiving chemotherapy and their caregivers to help them manage side effects and understand the role of chemotherapy in the treatment of advanced BC would potentially enable a more positive experience.

DETERMINANTS AFFECTING THE INTENTION TO USE E-WALLET DURING COVID-19 IN MANADO

Currently, the international economic sentiment has been influenced greatly with the Covid-19 pandemic and are still in the process of adjusting and conforming to the changes in societal and market lifestyle. E-wallet as Cashless payment methods have become a trend everywhere especially with the Covid-19 pandemic that caused people to limit physical contact with other people. This study aims to analyze the effect of Perceived Ease of Use, Perceived Risk and Social Influence as determinants towards the Intention to Use E-wallet during Covid-19 in Manado. This study employs casual research in quantitative approach. The population studied in this study is the people in Manado. Survey data were collected and collated from 100 respondents through google form, ranging from student to working employees and entrepreneurs. This study uses Multiple Regression Analysis to process the data. The findings confirm that Perceived Ease of Use, Perceived Risk, and Social Influence positively affects the Intention to Use E-wallet during Covid-19 in Manado. Based on the outcome of this study, it is recommended for E-wallet industry companies to increase public awareness of the use of e-wallet by informing it through public mass communication or social media and therefore, more people become aware and easier to have intention to use.&#x0D; &#x0D; Keyword: e-wallet, perceived ease of use, perceived risk, social influence, intention to use