6,339 research outputs found

    Network-based ranking in social systems: three challenges

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    Ranking algorithms are pervasive in our increasingly digitized societies, with important real-world applications including recommender systems, search engines, and influencer marketing practices. From a network science perspective, network-based ranking algorithms solve fundamental problems related to the identification of vital nodes for the stability and dynamics of a complex system. Despite the ubiquitous and successful applications of these algorithms, we argue that our understanding of their performance and their applications to real-world problems face three fundamental challenges: (i) Rankings might be biased by various factors; (2) their effectiveness might be limited to specific problems; and (3) agents' decisions driven by rankings might result in potentially vicious feedback mechanisms and unhealthy systemic consequences. Methods rooted in network science and agent-based modeling can help us to understand and overcome these challenges.Comment: Perspective article. 9 pages, 3 figure

    The impact of influencers in the consumer's purchase intention: The cosmetic industry

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    Social media is now part of people’s everyday lives. The digital era brought many opportunities, but also many challenges and queries as to what the best way to promote brands and products on social media is. Several businesses are now investing on influencer marketing, even though it is an intensely debated marketing strategy that is still lacking investigation regarding its application. In order to contribute towards this field of research, this study aims to evaluate the impact of social media influencers in the purchase intention of a cosmetic product and further understand which characteristics have a higher influence in the purchase intention. The literature review gives a comprehensive overview of social media marketing. A framework was developed based on the literature review which revealed the social media influencer’s characteristics that might impact the purchase intention of a cosmetic product. In order to test the framework hypothesis, an online survey was conducted which had 338 respondents. The results revealed that homophily and argument quality have a higher impact on the consumer’s purchase intention than popularity, expertise and interactivity. Additionally, it was also evidenced that the social media influencer’s trustworthiness and likability do not have an influence in the consumer’s purchase intention when considering a cosmetic product. Other relevant conclusions were established, suggesting that this them could bring several managerial, academic and marketing implications. With these contributes, managers can make conscious decisions when determining which characteristics to look for when deciding to collaborate with social media influencers.As pessoas passam muito do seu tempo nas redes sociais e a era digital trouxe muitos desafios e questões relativamente a qual a melhor forma de promover marcas e produtos nas redes sociais. Muitas empresas estão agora a investir em marketing de influência, apesar de ainda ser uma estratégia de marketing muito debatida e que ainda não tem muita investigação quanto à melhor forma de aplicação. Com o objetivo de prestar um contributo, este estudo pretende avaliar o impacto dos influenciadores digitais na intenção de compra de um produto de cosmética e investigar quais as características que têm mais impacto na intenção de compra. A revisão de literatura expõe uma visão geral sobre social media marketing. Foi desenvolvido um modelo com base na revisão de literatura, ilustrando as características dos influenciadores digitais que podem ter impacto na intenção de compra de um produto de cosmética. Para testar as hipóteses do modelo, foi desenvolvido um questionário online que obteve 338 respostas. Os resultados revelaram que a homofilia e a qualidade do argumente têm um impacto mais elevado na intenção de compra do consumidor que a popularidade, expertise e a interação. Adicionalmente, também foi possível retirar que a fidedignidade e simpatia do influenciador digital não têm impacto na intenção de compra de um produto de cosmética. Outras conclusões relevantes foram retiradas, sugerindo várias implicações a nível da gestão, investigação e do marketing. Contribuindo para que managers possam melhor selecionar as características que devem analisar quando decidirem colaborar com influenciadores digitais

    A Review of the Literature on the Effects of Social Media on Buying Fashion Apparel Intention and Decision

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    The fashion apparel industry has radically changed over the period with the impact of technology and the complex integration of business procedures in the contemporary business environment. The initiation of the internet and digital disruption have resulted in extreme changes in fashion clothing that have impacted consumer buying decisions. The review paper aims to evaluate the effect of social media on the buying decisions of Thai consumers in the fashion apparel industry with an assessment of all social media factors impacting the buying decision. The information was gathered from fifty secondary sources, like articles and journals, written about the research topic in the last 5 years. The paper evaluates how the digital environment has a long-term impact on the growth and capability development of the concerned sector

    Under(neath) the Influence: A Study of Micro-Influencers & Content Creators and the Dynamics of Digital Labor

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    Senior Project submitted to The Division of Social Studies of Bard College

    Tweeting your Destiny: Profiling Users in the Twitter Landscape around an Online Game

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    Social media has become a major communication channel for communities centered around video games. Consequently, social media offers a rich data source to study online communities and the discussions evolving around games. Towards this end, we explore a large-scale dataset consisting of over 1 million tweets related to the online multiplayer shooter Destiny and spanning a time period of about 14 months using unsupervised clustering and topic modelling. Furthermore, we correlate Twitter activity of over 3,000 players with their playtime. Our results contribute to the understanding of online player communities by identifying distinct player groups with respect to their Twitter characteristics, describing subgroups within the Destiny community, and uncovering broad topics of community interest.Comment: Accepted at IEEE Conference on Games 201

    Spillover Effects of Management Companies in the Vtuber Market

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    학위논문(석사) -- 서울대학교대학원 : 경영대학 경영학과, 2021.8. 윤혜리.Increasing usage of social media has given subsequent birth to micro-celebrities, or social media influencers (SMIs). Despite the fact that SMIs function as key opinion-leaders in society and the market, little is known about what traits make an SMI popular in the first place. While SMIs are generally considered to gain popularity from rock-bottom through individual endeavors alone, we find an exceptional media sector consisting of virtual YouTubers (vtubers). A vtuber, unlike the usual human YouTuber, is an artificially created figure strictly managed by sponsoring companies from the beginning of his/her debut. Finding a similarity between sponsor-vtuber relationships and parent-child relationships within brand extensions, we ran a random effects model against 560 company-owned vtubers to check whether similar spillover effects can be observed in a social media context as well. Our research yielded positive results, suggesting the existence of persistent spillover effects based on parent-brand popularity. An additional time series analysis was conducted against the weekly changes in the size of management agency influence on their affiliated vtubers. An ARIMA(1,2,0) model demonstrates a high fit with our data, and we find that the model confirms a constantly decreasing size of influence along with the passage of time.소셜미디어의 확산은 마이크로셀레브리티와 소셜미디어 인플루언서(SMI)의 등장을 초래했다. 이미 사회적, 경제적으로 SMI들이 오피니언 리더로서 큰 영향력을 행사하고 있음에도 불구하고 이들이 정확히 어떤 근본적 요인으로 인해 대중적 인기를 얻게 되었는지에 대해 알려진 바는 많지 않다. 많은 경우에 SMI들이 순수하게 자력으로만 팬덤을 구축하는 것으로 간주되는 것에 반해, 필자들은 버츄얼 유튜버(vtuber) 업계로부터 예외적인 상황을 목격했다. 일반적인 인간 유튜버와 달리, vtuber는 데뷔 이전부터 소속사로부터 엄격하게 관리당하고 통제 받는 가상의 디지털 캐릭터들이다. 본 연구에서는 소속사 대 vtuber의 관계가 브랜드 확장 상태의 모브랜드 대 신규 브랜드의 관계와 유사하다는 점에 착안하여, 후자의 경우에 관찰되는 스필오버 효과가 전자에서도 발현되는지 검증하기 위해 소속사와 계약을 맺고 있는 총 560 명의 vtuber에 대해 임의효과 모형을 적용시킨다. 그 결과, 소속사의 영향력이 vtuber의 인기에 대해 긍정적 스필오버 효과가 있음이 확인되었다. 또, 주차별 스필오버 효과 크기의 변화에 대한 시계열 분석을 통해 추세를 예측하는 데 적합한 모형으로 ARIMA(1,2,0) 모델을 특정해내어 시간이 지남에 따라 스필오버 효과가 감소하는 경향성을 지님을 검증했다.Chapter 1. Introduction 1 Chapter 2. Literature Review 3 Chapter 3. Research Model and Hypotheses 14 Chapter 4. Data Analysis and Methodology 18 Chapter 5. Results 21 Chapter 6. Discussion and Conclusion 29 Bibliography 32 Abstract in Korean 41 Appendices 42석

    Importance of Social Network Structures in Influencer Marketing

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    As collaborations between brands and influencers become increasingly popular, predicting the capacity of an influencer to generate engagement has garnered increasing attention from researchers. Traditionally, managers have been relying on follower-based statistics to identify individuals with potential to reach a vast number of users on social-media. However, this approach may often direct managers to accounts with millions of followers accompanied with high recruiting costs. In this paper, we argue that the network structure of influencers is a useful measure for capturing an influencer’s ability to generate engagement. Using Instagram data, we perform a deep-learning analysis on the social network of influencers and show that the network structure explains a large share of the variations in user engagement, even outperforming traditionally used variables such as the number of followers in the case of comments. This study contributes to the emergent literature on the importance of social ties in the digital environmen
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