A data-driven analysis to question epidemic models for citation cascades on the blogosphere

Citation cascades in blog networks are often considered as traces of information spreading on this social medium. In this work, we question this point of view using both a structural and semantic analysis of five months activity of the most representative blogs of the french-speaking community.Statistical measures reveal that our dataset shares many features with those that can be found in the literature, suggesting the existence of an identical underlying process. However, a closer analysis of the post content indicates that the popular epidemic-like descriptions of cascades are misleading in this context.A basic model, taking only into account the behavior of bloggers and their restricted social network, accounts for several important statistical features of the data.These arguments support the idea that citations primary goal may not be information spreading on the blogosphere.Comment: 18 pages, 9 figures, to be published in ICWSM-13 proceeding

Investigating the Impact of the Blogsphere: Using PageRank to Determine the Distribution of Attention

Much has been written in recent years about the blogosphere and its impact on political, educational and scientific debates. Lately the issue has received significant attention from the industry. As the blogosphere continues to grow, even doubling its size every six months, this paper investigates its apparent impact on the overall Web itself. We use the popular Google PageRank algorithm which employs a model of Web used to measure the distribution of user attention across sites in the blogosphere. The paper is based on an analysis of the PageRank distribution for 8.8 million blogs in 2005 and 2006. This paper addresses the following key questions: How is PageRank distributed across the blogosphere? Does it indicate the existence of measurable, visible effects of blogs on the overall mediasphere? Can we compare the distribution of attention to blogs as characterised by the PageRank with the situation for other forms of Web content? Has there been a growth in the impact of the blogosphere on the Web over the two years analysed here? Finally, it will also be necessary to examine the limitations of a PageRank-centred approach

FINDING HER MASTER’S VOICE: THE POWER OF COLLECTIVE ACTION AMONG FEMALE MUSLIM BLOGGERS

Emerging cyber-collective movements have frequently made headlines in the news. Despite the exponential growth of bloggers in Muslim countries, there is a lack of empirical study of cyber-collective actions in these countries. We analyzed the female Muslim blogosphere because very little research attempts to understand socio-political roles of female bloggers in the system where women are frequently denied freedom of expression. We collected 150 blogs from 17 countries ranging between April 2003 and July 2010 with a special focus on Al-Huwaider’s campaigns for our analysis. Bearing the analysis upon three central tenets of individual, community, and transnational perspectives, we develop novel algorithms modeling cyber-collective movements by utilizing existing social theories on collective action and computational social network analysis. This paper contributes a methodology to study the diffusion of issues in social networks and examines roles of influential community members. We also observe the transcending nature of cyber-collective movements with future possibilities for modeling transnational outreach. Using the global female Muslim blogosphere, we provide understanding of the complexity and dynamics of cyber-collective action. To the best of our knowledge, our research is the first to address the lacking fundamental research shedding light on re-framing collective action theory in online environments

The state-of-the-art in personalized recommender systems for social networking

With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of information overload. It is critical to use intelligent agent software systems to assist users in finding the right information from an abundance of Web data. Recommender systems can help users deal with information overload problem efficiently by suggesting items (e.g., information and products) that match users’ personal interests. The recommender technology has been successfully employed in many applications such as recommending films, music, books, etc. The purpose of this report is to give an overview of existing technologies for building personalized recommender systems in social networking environment, to propose a research direction for addressing user profiling and cold start problems by exploiting user-generated content newly available in Web 2.0

New Actors and New Media in Technology Discourse: An Investigation of Tech Blogging

Discourse plays an important role in innovation and the diffusion of technology. Various types of actors act as knowledge entrepreneurs to collectively build this discourse. This paper examines the emergence of a new type of actor, tech bloggers, within technology discourse communities. Tech bloggers are authors of web logs focused on developments with new technologies. We examine tech bloggers’ entries collected by a technology news aggregator website, Techmeme. Our analysis demonstrates how tech bloggers through specific discursive practices position themselves as knowledge entrepreneurs within the blogging discourse community and within the wider discourse on technology and innovation. As they attempt to establish claims to legitimacy and influence in this discourse, individual bloggers contribute to the construction of tech bloggers as a collective actor and challenge the positions of established actors. We consider implications for field-level changes and outline areas for further research on technology discourse, new media, and knowledge entrepreneurship

Social software: facilitating information-, identity- and relationship-management

During the last years, a growing number of online-based applications has been developed that facilitate the creation, articulation and maintenance of social networks. They are often referred to as "social software", but up to now there is neither an accepted definition of this rather vague term, nor is there a comprehensive analytical framework to describe and explain the social dynamics that come with the institutionalization of these tools. This paper starts with a proposal for a definition and its analytical elements, concentrating on the affordances social software allows. It will then sketch an analytical model of "social software practices" based on the three key concepts of rules, relations, and code, briefly discussing these elements and their interdependencies. The paper will conclude with an outlook how the definition and the analytical model might aid and inform future academic research as well as software development

A META-ANALYTIC REVIEW OF SOCIAL MEDIA STUDIES

Social media such as social networking sites, blogs, micro-blogs, Wikis, are increasingly and widely used in our daily lives. In the information system (IS) discipline, social media have become a hot research area and draw the attention of many scholars. The paper systematically reviewed social media studies published in Association for Information Systems (AIS) listed top 20 journals from 2009 to 2013. The publication time, journal preferences, research objects and research topics are discussed. Generally, the current social media studies including four areas, namely user, management, technology and information. Each area has distinct focuses and topics. By thoroughly analyzing the research topics, the authors formulate our projections and recommendations for future social media studies

Good Friends, Bad News - Affect and Virality in Twitter

The link between affect, defined as the capacity for sentimental arousal on the part of a message, and virality, defined as the probability that it be sent along, is of significant theoretical and practical importance, e.g. for viral marketing. A quantitative study of emailing of articles from the NY Times finds a strong link between positive affect and virality, and, based on psychological theories it is concluded that this relation is universally valid. The conclusion appears to be in contrast with classic theory of diffusion in news media emphasizing negative affect as promoting propagation. In this paper we explore the apparent paradox in a quantitative analysis of information diffusion on Twitter. Twitter is interesting in this context as it has been shown to present both the characteristics social and news media. The basic measure of virality in Twitter is the probability of retweet. Twitter is different from email in that retweeting does not depend on pre-existing social relations, but often occur among strangers, thus in this respect Twitter may be more similar to traditional news media. We therefore hypothesize that negative news content is more likely to be retweeted, while for non-news tweets positive sentiments support virality. To test the hypothesis we analyze three corpora: A complete sample of tweets about the COP15 climate summit, a random sample of tweets, and a general text corpus including news. The latter allows us to train a classifier that can distinguish tweets that carry news and non-news information. We present evidence that negative sentiment enhances virality in the news segment, but not in the non-news segment. We conclude that the relation between affect and virality is more complex than expected based on the findings of Berger and Milkman (2010), in short 'if you want to be cited: Sweet talk your friends or serve bad news to the public'.Comment: 14 pages, 1 table. Submitted to The 2011 International Workshop on Social Computing, Network, and Services (SocialComNet 2011

Opinion mining: Reviewed from word to document level

International audienceOpinion mining is one of the most challenging tasks of the field of information retrieval. Research community has been publishing a number of articles on this topic but a significant increase in interest has been observed during the past decade especially after the launch of several online social networks. In this paper, we provide a very detailed overview of the related work of opinion mining. Following features of our review make it stand unique among the works of similar kind: (1) it presents a very different perspective of the opinion mining field by discussing the work on different granularity levels (like word, sentences, and document levels) which is very unique and much required, (2) discussion of the related work in terms of challenges of the field of opinion mining, (3) document level discussion of the related work gives an overview of opinion mining task in blogosphere, one of most popular online social network, and (4) highlights the importance of online social networks for opinion mining task and other related sub-tasks

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

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