Social Media Activity Research Articles

Identification of Expected Growth in Crypto Currency

Identifying the expected growth in cryptocurrency involves analyzing a combination of market trends, technological advancements, regulatory developments, and economic indicators. Historical performance and adoption rates of major cryptocurrencies provide insight into market trends, while innovations in blockchain technology, such as Ethereum 2.0 and Layer 2 solutions, along with the rise of decentralized finance (DeFi) and non-fungible tokens (NFTs), highlight significant technological advancements. Regulatory developments, including supportive legislation and the involvement of institutional investors through financial products like Bitcoin ETFs, play a crucial role in shaping market confidence and investment. Economic indicators, such as inflation, monetary policies, and global events, also influence interest in cryptocurrencies as alternative assets. Investor sentiment, driven by public perception, media coverage, and social media activity, impacts market dynamics. Additionally, research from financial analysts, market research firms, and academic studies, along with corporate partnerships and the integration of crypto solutions with traditional systems, contribute to growth predictions. Monitoring market capitalization and trading volumes further helps gauge market interest and liquidity. By considering these multifaceted factors, a more comprehensive understanding of the potential growth in the cryptocurrency market can be achieved.

Social Media Activities and Affective Well-being in the Daily Life of Emerging Adults

Social Media Activities and Affective Well-being in the Daily Life of Emerging Adults

Social Media Activation Strategy pada Produk Olahan Kelapa Kopyor “Kosudu”

Coconut is a prospective plantation commodity. Many coconuts are further processed into various processed products, one of which is frozen coconut kopyor. This research aims to determine the implementation of brand activation and determine which social media activation strategy to be implemented in "Kosudu" frozen kopyor coconut. This research was designed with a case study approach in the Unit Usaha Kopyor Bogor. The informants and respondents were chosen through purposive sampling with criteria. The informants were 7 employees who provided information regarding “Kosudu”, while the respondents were 10 consumers who purchased the product. The analysis used in this research is SWOT and QSPM analysis. The research results show the implementation of the "Kosudu" social media activation, there are 8 activities in social media. The brand activation strategy for the Kopyor Bogor Business Unit is (1) Video advertisement (2) User Generated Content (3) Live dan post feed (4) Podcast.

Promoting financial inclusion for SMEs: Leveraging AI and data analytics in the banking sector

Financial inclusion is crucial for the growth and sustainability of small and medium-sized enterprises (SMEs), which are significant contributors to economic development and job creation. However, traditional banking models often fall short in serving the unique needs of SMEs due to perceived high risks and insufficient credit history. Leveraging artificial intelligence (AI) and data analytics, the banking sector can transform its approach to financial inclusion, offering tailored financial products and services that cater specifically to SMEs. AI and data analytics enable banks to analyze vast amounts of data from diverse sources, including transactional histories, social media activity, and market trends. This holistic view of an SME's financial health and business potential allows for more accurate risk assessment and credit scoring. Machine learning algorithms can identify patterns and predict creditworthiness, enabling banks to extend credit to SMEs that may have been overlooked by traditional models. Additionally, AI-driven insights facilitate the development of customized financial products, such as flexible loan terms and dynamic interest rates, that align with the cash flow cycles and operational realities of SMEs. Automated processes and AI-powered chatbots enhance customer service, providing SMEs with timely support and financial advice, thereby improving their banking experience. Data analytics also play a critical role in fraud detection and prevention, ensuring the security of transactions and building trust among SME clients. By continuously monitoring and analyzing transaction data, banks can quickly identify and mitigate fraudulent activities, protecting SMEs from financial losses. Moreover, AI and data analytics support the creation of financial literacy programs tailored to the specific needs of SMEs, empowering business owners with the knowledge and tools to make informed financial decisions. This educational aspect is vital in fostering a sustainable financial ecosystem for SMEs. In conclusion, the integration of AI and data analytics in the banking sector holds significant promise for promoting financial inclusion among SMEs. By providing more accessible, customized, and secure financial services, banks can support the growth and success of SMEs, ultimately contributing to broader economic development and financial stability.

How Crises Shape Interest in Elected Officials of Color: Social Media Activity, Race and Responsiveness to Members of Congress on Twitter

ABSTRACT This study aims to understand public reactions to statements about racial discrimination made by elected officials of color on Twitter. We argue that statements about race made by elected officials of color will be overlooked in most political contexts. However, during events when race is made a salient issue, the public will look to elected officials of the afflicted group for guidance and, through this, the public will be more likely to interact with these leaders on Twitter. In this way, periods of crises create a window of opportunity when statements against racism made by elected officials of color receive greater public attention. To assess this hypothesis, we use the case study of Asian American members of Congress and their discussion of anti-Asian racism on Twitter. We examine the pattern of Twitter interactions to their posts in 2021. We find that Asian American members of Congress receive more social media attention (likes and retweets) relative to other members of Congress when condemning anti-Asian violence, but only in the immediate wake of the March 2021 mass shooting of Asian Americans in Atlanta, Georgia. This study offers important new insight into when elected officials of color can draw public attention to the communities that they descriptively represent.

Dynamics between Bitcoin Market Trends and Social Media Activity

Dynamics between Bitcoin Market Trends and Social Media Activity

Analysis of Sarcasm Language Use on Instagram Social Media (Case Study of Students from the Faculty of Social Sciences UINSU)

This article aims to examine the dynamics of sarcasm language use by students of the Faculty of Social Sciences at the State Islamic University of North Sumatra (UINSU) in their interactions on Instagram social media. The urgency of this research arises from the observation that sarcasm, although often used as a communication tool, frequently leads to misinterpretations and interpersonal conflicts in the digital context that lacks non-verbal cues. This study adopts a qualitative case study approach with a constructivist paradigm, using thematic analysis techniques to interpret data obtained through in-depth interviews and observation of social media activities. Data validity testing was conducted through source triangulation to ensure the reliability of the findings. The research results indicate that students have significantly varied understandings of sarcasm, which is often misinterpreted as serious communication, leading to undesired emotional reactions. In the segment "Social Cognition: Student Poll on Sarcastic Comments on Instagram," it was found that although students could identify sarcasm, emotional reactions to sarcasm varied, indicating a need for higher digital literacy to effectively manage and process information in social interactions. The discussion in this article emphasizes that sarcasm on social media, while being a dynamic expression tool, requires deep contextual understanding to avoid misinterpretation. Therefore, enhancing media literacy is crucial to help students understand communication nuances and reduce the risk of misunderstandings in digital interactions. This study highlights the importance of effective digital literacy education, which not only enhances students' communication skills but also prepares them to navigate the complex and often ambiguous digital ecosystem.

New graduate nurses’ readiness for practice, transition and integration into the workplace: A longitudinal study with mixed methods research

AimTo examine the readiness of new graduate nurses for practice and evaluate factors influencing their transition into the workplace. BackgroundThis is new research in Bahrain. Understanding readiness for practice is important during a time when there is a national initiative to promote nursing as a career among the indigenous Bahraini population. The worldwide nursing shortages and aging workforce require new and innovative recruitment and retention measures. There is change, increased demand and complexity, in nursing and healthcare needs with accompanying healthcare specialization. In such a health care environment, the transitioning and readiness of newly qualified nurses is an increasing challenge. DesignA longitudinal design, with a triangulated, mixed methods, research approach was used. MethodsThe study population consisted of 50 newly graduated nurses. Data were collected over one year through self-administered questionnaires, reflective diaries and focus groups. Quantitative data were analysed using SPSS and qualitative data using thematic analysis with adherence to GRAMMS reporting guidelines. ResultsIn Bahrain, there are actions to recruit young Arabic students to nursing including schools and community presentations by trained nurse ambassadors, social media activities and career exhibitions, however there is a lack of objective information on the perspective of cohorts of nurses who have successfully completed graduate nursing registration programmes and transitioned into practice. International literature suggests that the transition of newly graduated nurses can be stressful and challenging. On entry to practice, the respondents positively perceived their characteristics and attributes; however, their confidence was affected by challenges in the workplace. The transitioning of the new graduate nurses was affected by the availability of support and leadership, induction programmes and the new complex work environment. ConclusionUnderstanding work readiness and the emotional needs of new graduate nurses, accompanied by improved support, will enhance the transition of newly qualified nurses into the workplace and reduce attrition. Study RegistrationKHUH/Research/No.279/2019

A multi-model attention based CNN-BiLSTM model for personality traits prediction based on user behavior on social media

The prediction of an individual’s personality traits through the analysis of their online social media activities is an area of research that has gained considerable attention in the digital era. The statistical data derived from people’s thoughts that are conveyed through their status updates on social media serves as an essential resource for understanding the various aspects of human behavior and personality. The present study is motivated by the various applications associated with personality prediction, such as targeted advertising, personalized entertainment, and customized recommendations. A multi-model attention-based convolutional neural network-bidirectional long short-term memory (CNN+BiLSTM) is proposed in the present work for personality traits prediction. The proposed model utilizes pre-trained language models, such as Global Vectors for Word Representation (GloVe) and Bidirectional Encoder Representations from Transformers (BERT), to create vector representations of words, which effectively captures word semantics. Additionally, network features such as size, betweenness, transitivity, and density are integrated with text features to enhance personality traits prediction. The results highlight the contextual understanding of the BERT model and emphasize the effectiveness of the proposed model, particularly the fusion of the attention layer with the CNN+BiLSTM architecture, which significantly improves information extraction and prediction capabilities. The integration of social network features strengthens the classifier’s ability to predict personality traits, resulting in improved overall performance.

Influencer storefronts: impact of social media advertising disclosures on purchases

PurposeThe purpose of this study is to address the surging reliance on influencer marketing in evolving business models, focusing on a novel approach – the influencer e-commerce storefront. This study investigates various influencer advertising disclosures, social media activities and their impact on consumer engagement and sales within the influencer e-commerce storefront.Design/methodology/approachSecondary data was collected on 734 influencers from an e-commerce website based on “influencer” storefronts, and the influencer’s social media activity and content were collected from Instagram. Two-stage seemingly unrelated regression model was used to examine the research model.FindingsInfluencer social media use, encompassing daily posts, story posts and average comments, positively influences consumer engagement and sales on influencer e-commerce storefronts. Notably, the study reveals that different advertising disclosure languages yield varying effects. Unclear disclosures (e.g. branded Highlights) positively impact engagement and sales, while obvious disclosures (e.g. “Sponsored Ad”) negatively affect both.Originality/valueThe study contributes to Persuasion Knowledge Theory, examining influencer e-commerce storefronts and revealing the persuasive impact of undisclosed language in advertising. This study innovatively explores the effects of obvious and undisclosed sponsorship on coping mechanisms, offering insights into consumer reactions. The recommended use of undisclosed language suggests that ambiguity can enhance ad persuasion, guiding practitioners in crafting more effective messages. Moreover, the study extends co-creation theory and service-dominant logic by underscoring the significance of influencers’ social media engagement in co-creating value for consumers. Influencers’ active engagement on social media fosters co-creation, strengthening connections and boosting consumer loyalty.

Peningkatan Partisipasi Politik Pemilih Pemula melalui Preferensi Politik Media Sosial pada Pemilu 2024

This article focuses on social media activities by beginning voters at SMAN 12 Semarang City for forming their political preferences of the 2024 election. Social media activities are one way to fulfill information needs, including political information, especially ahead of the 2024 election. The purpose of the article is to report the benefits of social media in providing political preferences to beginning voters to determine their choice in the 2024 election. The method of implementing this activity is carried out socialization to class XII students. The output of this activity is in increasing beginning voters' knowledge of political actors participating in the election through the use of social media.

Role Of Electronic Word Of Mouth In Improving Product Purchase Decisions Which Social Media Activities, Easy Transactions, Product Quality, And Giveaway Promotions At The Kerinci Chic Shoes Store influence

Role Of Electronic Word Of Mouth In Improving Product Purchase Decisions Which Social Media Activities, Easy Transactions, Product Quality, And Giveaway Promotions At The Kerinci Chic Shoes Store influence

Social Media Programs for Outreach and Recruitment Supporting Aging and Alzheimer Disease and Related Dementias Research: Longitudinal Descriptive Study.

Social media may be a useful method for research centers to deliver health messages, increase their visibility in the local community, and recruit study participants. Sharing examples of social media-based community outreach and educational programs, and evaluating their outcomes in this setting, is important for understanding whether these efforts have a measurable impact. The aim of this study is to describe one center's social media activities for community education on topics related to aging, memory loss, and Alzheimer disease and related dementias, and provide metrics related to recruitment into clinical research studies. Several social media platforms were used, including Facebook, X (formerly Twitter), and YouTube. Objective assessments quantified monthly, based on each platform's native dashboard, included the number of followers, number of posts, post reach and engagement, post impressions, and video views. The number of participants volunteering for research during this period was additionally tracked using a secure database. Educational material posted to social media most frequently included content developed by center staff, content from partner organizations, and news articles or resources featuring center researchers. Multiple educational programs were developed, including social media series, web-based talks, Twitter chats, and webinars. In more recent years, Facebook content was occasionally boosted to increase visibility in the local geographical region. Up to 4 years of page metrics demonstrated continuing growth in reaching social media audiences, as indicated by increases over time in the numbers of likes or followers on Facebook and X/Twitter and views of YouTube videos (growth trajectories). While Facebook reach and X/Twitter impression rates were reasonable, Facebook engagement rates were more modest. Months that included boosted Facebook posts resulted in a greater change in page followers and page likes, and higher reach and engagement rates (all P≤.002). Recruitment of participants into center-affiliated research studies increased during this time frame, particularly in response to boosted Facebook posts. These data demonstrate that social media activities can provide meaningful community educational opportunities focused on Alzheimer disease and related dementias and have a measurable impact on the recruitment of participants into research studies. Additionally, this study highlights the importance of tracking outreach program outcomes for evaluating return on investment.

Social Media as a Lens for Citizen Science: Investigating Visitor Contributions in a Forest Recreational Area

The primary challenge in collecting biodiversity information using citizen science is to encourage a diverse range of people to participate. This is crucial in fostering a Nature Positive society. Social media approaches have the potential to engage not only nature lovers but also a wider range of citizens, including those indifferent to nature. However, current understanding of the traits of individuals who contribute to widely prevalent social media platforms is limited and insufficient. This study focuses on individuals who contribute to a forest recreational area and the photos they share on a popular social media platform; it sheds light on the untapped potential of social media as a source of citizen science data and contributor sources. We developed a taxonomy of 22 classifications for 1066 photographs that illustrate human–ecosystem interactions and identified the relationship between these subjects and the history of social media activities of the 136 photo contributors. Our findings indicate that different behavioral styles exist among different types of visitors regarding their posting behavior and associated forest recreation types. This can encourage future contributions to the recruitment of citizen scientists and the collection of biodiversity information at small spatial scales.

Social media discourse on ageism, sexism, and racism: Analysis of 150 million tweets over 15 years.

Ageism is a major but oft-overlooked social determinant of health. In fact, it is widely accepted among scholars that ageism is one of the least acknowledged forms of inequality, although few empirical attempts have been made to substantiate this claim. This is the first study that quantifies the amount of discourse dedicated to ageism, sexism, and racism on Twitter. Specifically, we rely on the usage of hashtags as a proxy for the frequency of discussions surrounding each form of inequality over a 15-year period from 2007 to 2022. We also identify key events that triggered spikes in Twitter activity for each form of inequality. Hashtags related to racism and sexism were extracted from past scholarship. We also employed a snowball sampling method whereby we queried the hashtags using Twitter's search function to identify other hashtags. As limited research has been conducted on ageism-related hashtags, we queried hashtags utilized by advocacy groups and adopted a snowball sampling method to compile other relevant hashtags. Tweets collected (N = 154,353,047) spanned 15 years, from August 23, 2007 to December 31, 2022. From 2007 to 2022, racism-related hashtags were used the most, followed by sexism-related hashtags and ageism-related hashtags. Racism-related hashtags (N = 99,250,348) were mentioned about 60 times more than ageism-related hashtags (N = 1,648,926). Sexism-related hashtags (N = 38,933,113) were mentioned 24 times more than ageism-related hashtags. The increasing linear trend of tweets associated with ageism (p < 0.001), sexism (p < 0.05), and racism (p < 0.05) reached significance. Incidents of racism and sexism often generated widespread public outrage. Conversely, instances of ageism rarely caused spikes in social media activity. Rather, these spikes were mainly observed during events such as the release of a report on ageism, a conference related to aging, or observances such as International Day of Older Persons. There is a need to hasten moves to raise awareness of ageism. To ensure that discussions on ageism are not confined to academic and policy circles, advocacy campaigns could be held to educate the public on the issue and its negative concomitants.

Towards a feminist praxis and pedagogy in higher education: knowledge-building and social action in Pakistan

ABSTRACT The fourth wave of feminism in Pakistan represents a significant departure from earlier movements, evolving into an intersectional force with widespread participation from younger women. Recent scholarship notes this shift, highlighting how activists are not only demanding equal rights but also critiquing the private/public dichotomy by centreing the intimate spaces where patriarchy is most entrenched. In light of this new phase in the feminist landscape, this article examines the overlooked narratives and experiences of women activists at the Feminist Students Collective (FSC), a student-led collective based in Lahore, Pakistan. It is argued that FSC activists employ a feminist praxis to analyse coloniality and neoliberalism’s entanglement with patriarchy in higher education and beyond. Through mediums such as writing, dance, poetry, theatre, and social media activism, they counter Eurocentrism in institutional spaces of learning and forge epistemic connections across class, religion, ethnicity, and social location in activist spaces.

The triadic influence of brand personality, culture and social media usage on consumer attachment to iconic brands

While iconic brands are influential in practice, marketing research on iconic brands has been scarce. To understand better how consumers favour certain iconic brands, this paper identifies three groups of factors influencing consumer’s iconic brand attachment. First, it is hypothesised that strong brand personality dimensions (composed of sincerity, excitement, competence, sophistication and ruggedness) perceived by consumers explain why consumers are attracted to iconic brands. Secondly, the paper hypothesises that consumers with increased social media activity tend to hold decreased preferences for particular iconic brands because of their diversified interests in various brands. Thirdly, the paper hypothesises how cultural dimensions (individualism, power-distance, masculinity, uncertainty avoidance, and long-term orientation) influence consumers’ iconic brand preferences. Further, the paper theorises three interaction effects of these stated factors: (1) brand personality × masculinity; (2) social media activity × uncertainty avoidance; and (3) brand personality × age. Using the survey method, the paper provides empirical support for our hypotheses.

Navigating identity through social media: Twitter use of Muslim-American nonprofits

Social media enables nonprofits to communicate with stakeholders. Literature has primarily focused on the social media communication of mostly large and secular nonprofit organisations. This study contributes to this literature by looking at nonprofits’ social media activity belonging to religious minorities, specifically the Muslim-American nonprofit sector. Using Lovejoy and Saxton’s (2012) Hierarchy of Engagement framework, we find that Muslim-American nonprofits conventionally use social media for information, community, and action messaging. However, these nonprofits also utilise social media to encourage religious practices and strongly advocate for Muslim rights. We also find that organisational identity affects social media framing as organisational type affects the type of topics these organisations pick to advocate on social media. Moreover, organisational size also affects social media activity, as smaller organisations are more likely to use social media for fundraising purposes.

Military Organization’s Use of Social Media and Its Relationship with Politics: Evidence from Pakistan

The literature on social media (SM) use in government organizations primarily focuses on service delivery, publicity, and public relations. But, how a public sector security organization’s use of social media is related to electoral politics in a country is least understood. This paper conceptualizes the Pakistani military’s use of digital media, drawing on the theory of organizational impression management (IM). It further explores the impact of military-related social media activists (SMAs) on electoral politics in Pakistan. Structural equation modeling was used to test the conceptual model, demonstrating that the citizens’ connectedness with military-related SMAs is significant and positively associated with their voting realignments during the 2018 elections in Pakistan. The results revealed that the citizens’ greater online political participation increases their likelihood of connecting with military-related SMAs. On the contrary, their engagement with the offline political process reduces the chances of consuming the military’s impression management content over social media.

Impact of Demographic Factors, Economic Factors, and Social Media Usage on Political Preferences

The current study exploredthe impact of demographicfactors, economic factors, and social media usage on political preferences. The study incorporated demographic variables including age, gender, and education level.Regression analysis was used to conduct the current study. Race/ethnicity, income level/employment status, and social media activity were examined as independent variables. Data was collected from150 respondents,which wasinterpreted using SPSS. Thus, analyzing the data collected from a diverse sample, significant effortwas madeto extend the knowledge of constructs used in the current study. Vivid correlation with demographic and/or economical characteristics, frequency of social media platforms usage,and political affiliations would be used to gain important information.