Social Media Trends Research Articles

Эвристический потенциал искусственного интеллекта в анализе социальных сетей

Artificial intelligence is an important part of modern life. AI exists to improve lives and free up time and resources for the tasks that require thoughtful human action. The advent of artificial intelligence (AI) created new data analyzing the capabilities of the modern phenomenon of social networking, accurately analyzing and understanding the dynamics of online communities and users` sentiments. AI succeeds in such area as social media. Internet users use social media to communicate, search for information, buy things and even work. Social networks also have a high amount of data that can be used to analyze social processes and people's behavior. However, the amount of data is so large that so its processing and analysis can be a time-consuming process. Artificial intelligence can help to solve this problem. The article is devoted to the study of the role of artificial intelligence in the analysis of social networks, highlights the possibilities of AI and problems, considers various methods of analysis and data collection, such as social listening, natural language processing, as well as an automatic content classification system. The use of a heuristic approach to this issue based on AI helps to significantly speed up the process of data processing and reduce the cost of analysis that would be performed by manual labor. As a result, it was established that artificial intelligence has a great heuristic potential in the analysis of social networks. Its ability to analyze large amount of data, recognize patterns and identify data trends and also automate management tasks makes it a valuable tool for understanding social media trends and users` behavior.

Hashtag War in Gaza: An Analysis of the Role of Indonesian Citizens in #JulidFisabilillah from the Transnational Conflict Dimension

Abstract: The Israeli-Palestinian conflict not only has an impact on land but also extends to cyberspace. This research investigates the digital landscape of the Israeli-Palestinian conflict, specifically focusing on online activism surrounding the Gaza conflict. This research investigates the hashtag #JulidFisabilillah, a leading online movement originating from Indonesian citizens. Through comprehensive analysis, this research aims to uncover the motivations, narratives, and impacts of #JulidFisabilillah in the broader context of the Israeli-Palestinian War. By examining digital discourse, social media trends, and the role of Indonesian society in shaping online narratives, this research provides insight into the transnational dimensions of the conflict and the influence of digital activism on public opinion. These findings contribute to a deeper understanding of the role played by Indonesian netizens on online platforms in mobilizing global support and shaping perceptions during geopolitical conflicts.

Thinking Through Targeting: Social Media an Effective Tool for Influencing People and Society

Every day, a wide range of stakeholders target us on social media platforms in an attempt to influence our decisions and behaviour. These stakeholders might be politicians hoping to win over support from the public and secure votes, organizations trying to convey the benefits of their decisions and actions to us as citizens, or commercials trying to sell us something. We absorb new media content, and it can be difficult to distinguish between fake and real news in this redundant environment with widespread data invasion. Beginning with the INSCOP opinion survey from 2023, which investigates Romania's exposure to propaganda and disinformation, our goals are to analyse how audiences were affected by the disinformation narratives in Ukrainian war context, and look at the current social media trends related to this topic using the analytical techniques made available by new media instruments. We want to highlight how social media is the main channel used in Romania for disseminating false information, and we also want to draw attention to the connections that can be made between those who spread false information and the traits of the individuals they are trying to reach. The present paper is part of a larger PhD research program that focuses on consolidating a society’s security culture through better institutional strategic communication; therefore, all the findings will be used to this end.

Social Media Use and Impact on Voters and Candidates in Kerala

This article presents a comprehensive survey of social media usage among Kerala voters across three parliamentary constituencies ( N = 1500). It explores the socio-economic factors influencing both online and offline political engagement and sheds light on how social media empowers younger voters by reducing their reliance on traditional influencers. Kerala’s social media trends align with those of developed nations like the USA, in contrast to broader Indian digital and gender divide indicators. The study also delves into the social media strategies of 280 successful candidates in the April 2019 Kerala Legislative Assembly elections, identifying the key factors influencing their electoral success. Notably, Facebook engagement metrics, such as shares and followers, emerge as more significant predictors of candidate winnability than Twitter metrics. The research highlights the profound impact of social media on political communication, perception, youth participation and candidate strategies, ultimately shaping electoral outcomes in Kerala. This study addresses a critical research gap regarding social media use among Kerala voters and the reciprocal strategies adopted by candidates, including the predictive impact on candidates’ performance.

The influence of social media marketing on consumer behavior in the retail industry: A comprehensive review

The pervasive impact of social media marketing on consumer behavior within the retail industry serves as the focal point of this comprehensive review. This paper aims to dissect the intricate relationship between social media marketing initiatives and their effects on consumer purchasing patterns, brand loyalty, and engagement. By collating and examining a broad spectrum of literature, including empirical studies, theoretical frameworks, and case analyses, this review endeavors to provide a holistic understanding of how social media platforms are reshaping consumer interactions with retail brands. Without adopting a primary research methodology, this review critically analyzes existing research findings to identify prevailing trends, effective strategies, and the resultant consumer responses to social media marketing in the retail context. The analysis delves into the mechanisms through which social media influences consumer perceptions, engagement practices, and ultimately, purchasing decisions. It highlights the transformative power of social media in marketing, emphasizing the shift towards more interactive, personalized, and consumer-driven communication strategies. Key insights reveal that social media marketing exerts a profound influence on consumer behavior, mediated by factors such as content authenticity, the extent of consumer engagement, and the strategic use of influencers and user-generated content. These elements are shown to enhance brand visibility, strengthen consumer-brand relationships, and influence purchasing behavior. The paper posits that social media marketing represents a critical element in the contemporary retail marketing mix, with significant implications for consumer behaviour. Retailers must leverage innovative social media strategies to engage consumers effectively. The review also suggests avenues for future research, particularly in the context of evolving social media trends and their impact on consumer behavior. This synthesis aims to equip practitioners and scholars with a nuanced understanding of the role of social media marketing in shaping consumer dynamics within the retail sector. Keywords: Social Media Marketing, Consumer Engagement, Brand Awareness, Content Marketing, Influencer Marketing, Personalization, Customer Relationship Management (CRM).

Tides of change: employee training strategies for promoting risk-taking tourism in the North Sea

PurposeThis study critically examines the transformative impact of the “North Sea TikTok” phenomenon on the marine tourism sector, emphasizing the role of employee training in fostering resilience and adaptability within marine economics and integrated marine systems. It delves into how viral social media trends influence marine tourism destinations, particularly the North Sea, affecting local economies, marine resource management and tourism strategies. By analyzing this trend, the paper seeks to uncover how marine tourism destinations can effectively respond to the challenges and opportunities presented by digital media-driven tourism.Design/methodology/approachEmploying a multidisciplinary framework that merges insights from digital marketing, risk perception in tourism and human resource management, this paper provides a comprehensive qualitative analysis of the “North Sea TikTok” trend. Through a meticulous content analysis of viral videos and an examination of user engagement metrics, alongside a thorough review of contemporary literature in marine tourism and sustainability, the study unpacks the far-reaching implications of social media on marine tourism ecosystems.FindingsThe analysis reveals that the “North Sea TikTok” trend has markedly altered public perceptions of the North Sea, catalyzing a shift toward adventure and risk-taking tourism. This pivot promises economic rejuvenation for local tourism sectors and necessitates agile marine management strategies to accommodate the evolving demands. Implementing innovative employee training programs focusing on safety protocols, environmental conservation and digital engagement is central to managing these dynamics. The paper emphasizes integrating sustainable practices to ensure the equitable growth of marine tourism economies and environmental preservation.Originality/valueThis paper pioneers exploring the nexus between social media trends and their operational and strategic impacts on marine tourism management and economics. Synthesizing social media's viral dynamics with marine tourism development introduces groundbreaking insights into adapting marine tourism strategies in the digital age. It emphasizes the critical need for a skilled workforce capable of navigating the complexities of digital trend-driven tourism markets, proposing a novel model for employee training that aligns with the shifting paradigms of marine tourism engagement. This unique contribution advances academic discourse in marine economics and provides practical frameworks for stakeholders aiming to harness social media trends for sustainable tourism development.

Navigating the Digital Landscape: Unveiling Language Dynamics and Digital Identity among Indonesia’s Contemporary Generation

This research article investigates the impact of the Internet on language development and digital linguistics in Indonesia. It explores the search frequency and familiarity trends of Indonesian words and phrases, examining their connection to social change and identity. The study utilizes the Google Trend platform to collect data from 2018 to 2023, capturing the prevalence of the Indonesian language in Google searches. The research incorporates a comparative analysis of online data from social media, incorporating ethnographic interviews with 30 participants, and conducting a comprehensive lexicon survey. 77 Indonesian words and phrases are collected and analyzed, providing insights into familiarity patterns. Additionally, interviews and surveys are conducted with Indonesian university students to understand their attitudes towards language, its role in shaping identities, internet usage, and societal norms. The analysis focuses on 40 selected words, investigating their correlation with language patterns, identity formation, emotions, and societal conventions. The findings reveal how neologisms within Indonesia’s digital linguistic landscape reflect societal shifts, including contemporary events, social media trends, and societal pressures. The proliferation of trending words aligned with themes of identity, societal norms, and emotional well-being highlights the influence of social media and the Internet on language dissemination. These changes are deeply embedded in Indonesia’s digital linguistic milieu and are further elucidated through interviews, offering insights into internet users’ linguistic practices. The study emphasizes the importance of tracking language and societal trends for self-expression and integration into diverse communities. It also highlights the reciprocal relationship between self-identity and communal influence on language development. This research contributes to understanding language dynamics and digital identity in the Indonesian context, revealing the complex interplay between language, society, and individual perspectives.

First public dataset to study 2023 Turkish general election.

In the context of Turkiye's most recent parliamentary and presidential elections ("seçim" in Turkish), social media has played an important role in shaping public debate. It is of utmost importance to capture social media trends during the 2023 Turkish elections, since it uncovers a great deal of information of election propaganda, political debates, smear campaigns, and election manipulation by domestic and international actors. We provide a comprehensive dataset for social media researchers to study Turkish elections, develop tools to prevent online manipulation, and gather novel information to inform the public. We are committed to continually improving the data collection and updating it regularly leading up to the election. Using the #Secim2023 dataset, researchers can examine the social and communication networks between political actors, track current trends, and investigate emerging threats to election integrity. Our dataset and analysis code available through Harvard Dataverse and Github, respectively.

Interview with Matthias Müller-Prove

Matthias Müller-Prove (Dipl.-Inform., U Hamburg, Germany) is an independent innovation and interaction designer. His experience is based on 25 years of designing software for international operating companies such as Adobe, Sun, and Oracle. Matthias shares his insights as a lecturer at design academies on e.g. Information Architecture, Branded Interactions, or Social Media Trends. Matthias thesis "Vision and Reality of Hypertext and Graphical User Interfaces" was honored with the Wolfgang von Kempelen Prize for Computer Science History. His Chronoscope World was a selected project of the European Cultural Heritage Year 2018. Since 2009, Matthias is a Senior Member of the ACM. Online: https://mprove.de | @mprove@hci.social | @chronohh@norden.social

Social Media Trends By Program Type and Geographic Region in Emergency Medicine Residencies

Social Media Trends By Program Type and Geographic Region in Emergency Medicine Residencies

Inspiration or infringement? Social media ‘viral’ trends: a case study on TikTok

Abstract Short-form videos have recently gained popularity thanks to social media platforms like TikTok. Some of the videos created by users go ‘viral’ and are ‘reproduced’ by others as they become trends on this platform. This article examines whether viral social media trends can warrant copyright protection and whether, by recreating such trends without permission, a potential infringement takes place. The idea–expression dichotomy will form the basis of the analysis so that the question is whether the infringer merely borrows an unprotected idea or rather copies a protectable expression. Additionally, as hinted in the pending referral in Mio (C-580/23), the Court of Justice of the European Union (CJEU) is yet to determine how the assessment of similarity, when examining an alleged infringement, must be conducted—is this one of recognizability or rather overall impression? Exceptions and limitations—most pertinently, pastiche—also form part of the discussion as questions are raised on the application of this undefined concept, pending the judgment in Pelham II (C-590/23). A balancing approach shall be taken between the interests of the different stakeholders at hand, including having regard to freedom of expression and protection of IP.

Insightsphere: Social Analytics Command Center

The Social Media Command Center is a complex program designed to monitor and analyze user activity on various social media platforms. The innovative tool includes sentiment analysis to measure user sentiment and sentiment. One of its main features is the ability to disable unwanted features, allowing you to access content and communications. The system uses sentiment analysis to identify and correct harmful or counterproductive user behavior to create a better and more manageable online environment. This allows the system to distinguish between positive, negative, and neutral emotions. The plug-in feature is a special feature of the Command Center that allows administrators to disable or block user actions based on arbitrary diagnostic results. For example, if the analysis finds that there is no offensive or harmful content, the system can automatically take steps to reduce the impact by removing or reducing the scope of that content. Command Center also offers dashboards and reports that provide deep insights into social media trends, user behavior, and sentiment patterns. This helps organizations make decisions, improve community management, and maintain a better online environment.

Engage to co-create! The drivers of brand co-creation on social commerce

PurposeConsumers nowadays are no longer bystanders in the process of production but are proactive collaborators with the power to co-create value with brands. This study aims to explore the impact of social commerce on the co-creation process of brand value in a social commerce setting.Design/methodology/approachA questionnaire survey was conducted online to gather 300 eligible responses. The data were empirically validated using the partial least squares structural equation modelling (PLS-SEM) method.FindingsThe results indicated that brand engagement (BEN) is vital to brand co-creation (BCC) in social commerce, which could be driven by social-hedonic value (SHV) and social information sharing (SIS).Research limitations/implicationsThis study stresses the influence of consumer autonomy in the process of BCC by probing the role of SIS. Moreover, by considering the prevailing trend in social media, this study offers a nuanced perspective on the values of social commerce from the viewpoint of SHV.Practical implicationsThis study may serve as a useful guide for practitioners to improve their digital outreach strategy on social commerce to forge stronger relationships, encourage further engagements and promote value co-creation within their brand community.Originality/valueThis examines the effect of relationship quality (RQU) and BEN on BCC through a relational viewpoint.

Revealing the Charm of Exploring Tourism Destinations That Are Going Viral Lately

This research aims to reveal the phenomenon of the charm of tourism destination exploration which has become viral in the recent period. By analyzing social media trends, traveler reviews and recent news developments, this research explores the factors that have led to the rapid popularity of certain tourism destinations. Through a qualitative approach, data is analyzed to understand how extensive exposure on social media and intense promotions influence tourist interest and visits. The results show that visual factors, cultural uniqueness, and influencer recommendations play a big role in building public interest in viral tourist destinations. The implications of these findings can help in tourism marketing strategies to increase the attractiveness and popularity of tourist destinations in the future.

Digital Empowerment: Unveiling Motivations and Overcoming Challenges in Content Creation for Women Entrepreneurs

In the rapidly evolving digital landscape, where brand visibility is paramount for business success, women entrepreneurs find themselves navigating the intersection of content creation and branding. Despite the increasing significance of digital content, a critical gap exists in understanding how women entrepreneurs leverage this realm, exacerbated by the limited availability of structured training and technical barriers, notably in video shooting and editing. This study, encompassing forty participants from a Women Entrepreneurship Technical and Vocational Education and Training (TVET) program, aims to unveil the motivations propelling women entrepreneurs into content creation and the challenges they face, with a specific focus on technical aspects. By scrutinizing these nuances, the research seeks to provide tailored solutions and recommendations, addressing the dearth of targeted support hindering effective content creation for personal branding and product/service visibility. The study aligns with the broader literature emphasizing the transformative role of women entrepreneurs, the strategic importance of social media content creation, and the challenges and motivations elucidated in previous research. Recommendations encompass tailored training programs, leveraging government-prepared initiatives, mentorship, strategic integration of social media trends, flexible learning formats, collaborative content creation, and continuous evaluation and adaptation. These suggestions, rooted in the study's findings and aligned with broader trends, serve as a catalyst for empowering women entrepreneurs in the competitive digital landscape, addressing their unique needs and aspirations. As women continue to play a vital role in shaping the entrepreneurial landscape, this research endeavours to bridge knowledge gaps and foster a more inclusive and innovative business ecosystem.

Movie Review Sentiment Analysis: Supervised Learning versus Large Language Model

Sentiment analysis is frequently used to derive insights from natural language. Examples include analysis of textual data to measure brand perception, social media trends, or customer opinion about products. This paper evaluates the performance of three supervised machine learning methods and compares them with the next-generation large language model (LLM), which recently gained popularity with the release of OpenAI ChatGPT. Specifically, we explore the application of Decision Tree, Random Forest, and Support Vector Machine classifiers to a representative sample of 100K movie reviews collected by a well-known website, IMDb.com. Reviews are tagged with numeric ratings, allowing the formulation of a supervised learning problem and exploring the ability to differentiate sentiment between strongly opinionated positive and negative reviews and also, a more challenging problem of differentiating between weakly opinionated positive and negative reviews. Models are tuned to optimize recall and precision in this application, achieving an accuracy score of 0.89 for strong reviews and 0.63 for weak reviews. We then compare the results with ChatGPT, without specialized training, which reaches a perfect accuracy score of 1.00 for strongly opinionated reviews and 0.75 for weakly opinionated reviews, concluding that it outperforms supervised learning approaches but is also imperfect in distinguishing more subtle sentiment in weakly opinionated reviews.

Emerging trends in social media marketing: a retrospective review using data mining and bibliometric analysis

The study conducts a comprehensive retrospective analysis of the social media marketing literature along with text mining and bibliometric analysis using data obtained from the Scopus database. The analysis is conducted for the literature published during 2007–2022 using VOSviewer application and Biblioshiny. The analysis revealed the publication trend and emerging themes in the research landscape of social media marketing. This study has pointed towards important theoretical and practical implications pertaining to the social media marketing. It contributes to the understanding of social media marketing research by identifying and listing the best journal, authors, country, documents, most occurred words, social and intellectual structure, and emerging research trends. The results revealed that social media marketing research is at the focal point of the researchers throughout the word. This study found that there are lack of studies from firm perspective especially small retailers; adoption of disruptive technologies such as AI, ML and block chain and its impact need more exploration.

Investigating The Upward Trend of Social Media and Assistive Technology Usage Among Persons with Visual Impairment

Investigating The Upward Trend of Social Media and Assistive Technology Usage Among Persons with Visual Impairment

Media Discourse on the Kashmir Conflict after Abrogation of Article 370

The study tries to unfold how the Kashmir conflict is constructed in the Pakistani media after the abrogation of Article 370 of the Indian Constitution. To understand the media discourse a Critical discourse analysis of the news stories published about Indian held Kashmir (i.e. that part of the former princely state of Jammu and Kashmir occupied by India post the 1947 partition, notably the valley of Kashmir) in the e-paper of Dawn was carried out. The findings reveal a distinctive narrative strategy employed by Pakistani media in response to the abrogation of Article 370. This strategy accentuates the negative aspects of the Indian government's actions in Kashmir while simultaneously highlighting the voices of Kashmiris advocating for their right of self-determination. The findings also indicated that media discourse revolved around challenging the legitimacy of the Indian Parliament’s act of abrogating Article 370 and also focused on the casualties and losses which took place as a result of clashes between the Indian security forces and the Kashmiri separatist fighters. The media also gave significance to social media trends about Indian held Kashmir and also to posts of Kashmiri and Pakistani politicians. Negative actor description was used to highlight Bharatiya Janata Party (BJP)’s propaganda regarding the return of normalcy in the Indian held Kashmir whereas positive actor description was used for the Kashmiri separatist fighters.

The Phenomenon of Jilboobs Clothing on Social Media TikTok in PTR Account @OKLINFIA

This study investigates the persisting Jilboobs phenomenon within social and cyberspace, specifically focusing on its manifestation through the TikTok account @Oklinfia. Grounded in qualitative research, data was collected through netnography, utilizing Culture, Online/Digital Traces, Participants/Interactions, and Immersive Engagement as analytical dimensions. The findings reveal that while Jilboobs has become an annual cultural occurrence, @Oklinfia's PTR content imbues this phenomenon with a visual significance leaning towards a sexualized narrative. This intentional direction aims to capture male attention, resulting in increased views and virality on the TikTok platform. The implications of these findings shed light on the evolving nature of cultural trends within digital spaces and the potential impact on societal perceptions of modesty and religious adherence. Highlights : Cultural Evolution: Examining the annual recurrence of the Jilboobs phenomenon highlights its cultural persistence in social and digital spheres. Visual Significance: @Oklinfia's PTR content demonstrates a deliberate visual orientation, incorporating sexualized elements to capture and sustain male attention on TikTok. Netnographic Insight: Utilizing netnography with a focus on Culture, Online/Digital Traces, Participants/Interactions, and Immersive Engagement provides valuable insights into the evolving landscape of digital cultural trends. Keywords: Jilboobs Phenomenon, TikTok, Netnography, Visual Culture, Social Media Trends