Influencer marketing

About: Influencer marketing is a research topic. Over the lifetime, 2921 publications have been published within this topic receiving 62877 citations. The topic is also known as: influence marketing.

Sentiment Analysis and Opinion Mining

Abstract: Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online.

Everyone's an influencer: quantifying influence on twitter

Abstract: In this paper we investigate the attributes and relative influence of 1.6M Twitter users by tracking 74 million diffusion events that took place on the Twitter follower graph over a two month interval in 2009. Unsurprisingly, we find that the largest cascades tend to be generated by users who have been influential in the past and who have a large number of followers. We also find that URLs that were rated more interesting and/or elicited more positive feelings by workers on Mechanical Turk were more likely to spread. In spite of these intuitive results, however, we find that predictions of which particular user or URL will generate large cascades are relatively unreliable. We conclude, therefore, that word-of-mouth diffusion can only be harnessed reliably by targeting large numbers of potential influencers, thereby capturing average effects. Finally, we consider a family of hypothetical marketing strategies, defined by the relative cost of identifying versus compensating potential "influencers." We find that although under some circumstances, the most influential users are also the most cost-effective, under a wide range of plausible assumptions the most cost-effective performance can be realized using "ordinary influencers"---individuals who exert average or even less-than-average influence.

Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities

Abstract: Word of mouth marketing — the intentional influencing of consumer-to-consumer communications — is an increasingly important technique. The authors overview and synthesize extant word of mouth theory and present a study of a marketing campaign in which mobile phones were seeded with prominent bloggers. Eighty-three blogs were followed for six months. Findings reveal the complex cultural conditions through which marketing “hype” is transformed by consumers into the “honey” of relevant, shared communications. Four word of mouth communication strategies are identified — evaluation, embracing, endorsement and explanation. Each is influenced by communicator narrative, communications forum, communal norms and the nature of the marketing promotion. An intrinsic tension between commercial and communal interests plays a prominent, normative role in message formation and reception. This “hype-to-honey” theory shows that communal word of mouth does not simply increase or amplify marketing messages. Rather, marketing messages and meanings are systematically altered in the process of embedding them. The theory has implications for how marketers should plan, target and benefit from word of mouth and how scholars should understand word of mouth in a networked world.

Social marketing in public health.

Abstract: Social marketing, the use of marketing to design and implement programs to promote socially beneficial behavior change, has grown in popularity and usage within the public health community. Despite this growth, many public health professionals have an incomplete understanding of the field. To advance current knowledge, we provide a practical definition and discuss the conceptual underpinnings of social marketing. We then describe several case studies to illustrate social marketing's application in public health and discuss challenges that inhibit the effective and efficient use of social marketing in public health. Finally, we reflect on future developments in the field. Our aim is practical: to enhance public health professionals' knowledge of the key elements of social marketing and how social marketing may be used to plan public health interventions.

Marketing through Instagram influencers : the impact of number of followers and product divergence on brand attitude

Abstract: Findings of two experimental studies show that Instagram influencers with high numbers of followers are found more likeable, partly because they are considered more popular. Important, only in limited cases, perceptions of popularity induced by the influencer's number of followers increase the influencer's perceived opinion leadership. However, if the influencer follows very few accounts him-/herself, this can negatively impact popular influencers’ likeability. Also, cooperating with influencers with high numbers of followers might not be the best marketing choice for promoting divergent products, as this decreases the brand's perceived uniqueness and consequently brand attitudes.