When Does the Influencer Matter?

The purpose of this research is to identify what factors contribute to the effectiveness of social media influencers’ posts. The first phase of this project studied people’s initial feelings towards social media influencers using a focus group. The results indicated that social media influencers are in fact effective and influential. The second phase of this study tested what factors increase and decrease the effectiveness of a social media influencers post, and what factors will get them the most engagement. This was tested through sixteen experimental conditions with different variations of a fake social media influencer post. Five dependent variables were tested, willingness to share the post, willingness to buy, attitude toward the brand, attitude towards the ad, and attitude towards the influencer. Four independent variables were also measured, size of the influencer (micro or macro), picture (present or not), discount (present or not), and level of purchase involvement (high or low), as well as several contributing variables about personality. The results contended that the presence of a picture in a social media influencers ad was had a positive effect on willingness to share the post, willingness to buy, attitude toward the brand, and attitude towards the ad. Discount also was significant to consumers’ attitudes towards the brand and the ad. Level of involvement and size of the influencer only proved to be statistically significant towards the effectiveness of the post when interaction effects were found between one or more of those variables. The research and analysis conducted will provide valuable information regarding the effectiveness of social media influencers and the relevance of them pertaining to technological shifts and advancements in the marketing field

A Picture Is Worth a Thousand Material-Connection Disclosures: Endorsers, Instagram, and the Federal Trade Commission’s Endorsement Guides

With the spread of social-media advertising, the Federal Trade Commission (FTC) has made many attempts to regulate the burgeoning field. However, the complexity of social media makes it difficult to regulate without violating the First Amendment. This difficulty is especially true for Instagram, a social-media platform where pictures—a form of speech protected by the First Amendment—are the primary focal point. This Note argues that the FTC’s material-connection disclosure requirement potentially violates the First Amendment as it applies to Instagram advertisements. Instead of focusing on audience perception when determining whether an endorser must include a material-connection disclosure, the FTC should instead consider the poster’s intent in sharing an Instagram post to prevent any chilling of speech or violations of posters’ First Amendment rights

The Role of Country of Origin in Brand Following on Social Media Among U.S. Consumers

An understanding of how consumers interact with brands online is still in its infancy. This study will attempt to explain what motivates consumers to follow brands on social media, looking specifically at the role country and region of origin of products plays in explaining the relationship. Given the personal nature that attracts people to social media to build relationships, it is believed that the personal nature of brands originating from the social media users’ home country will heighten the likelihood that consumers track certain brands and may enhance the relationship that evolves between the brand and the consumer. A model is proposed to explain the relationship, with survey data from U.S. consumers used to begin to establish any links between product origins and brand tracking behavior through social media

Fashion Conversation Data on Instagram

The fashion industry is establishing its presence on a number of visual-centric social media like Instagram. This creates an interesting clash as fashion brands that have traditionally practiced highly creative and editorialized image marketing now have to engage with people on the platform that epitomizes impromptu, realtime conversation. What kinds of fashion images do brands and individuals share and what are the types of visual features that attract likes and comments? In this research, we take both quantitative and qualitative approaches to answer these questions. We analyze visual features of fashion posts first via manual tagging and then via training on convolutional neural networks. The classified images were examined across four types of fashion brands: mega couture, small couture, designers, and high street. We find that while product-only images make up the majority of fashion conversation in terms of volume, body snaps and face images that portray fashion items more naturally tend to receive a larger number of likes and comments by the audience. Our findings bring insights into building an automated tool for classifying or generating influential fashion information. We make our novel dataset of {24,752} labeled images on fashion conversations, containing visual and textual cues, available for the research community.Comment: 10 pages, 6 figures, This paper will be presented at ICWSM'1

An Exploratory Analysis of a Hybrid OSS Company’s Forum in Search of Sales Leads

—Background:Onlineforumsareinstrumentsthrough which information or problems are shared and discussed, including expressions of interests and intentions. Objective: In this paper, we present ongoing work aimed at analyzing the content of forum posts of a hybrid open source company that offers both free and commercial licenses, in order to help its community manager gain improved understanding of the forum discussions and sentiments and automatically discover new opportunities such as sales leads, i.e., people who are interested in buying a license. These leads can then be forwarded to the sales team for follow-up and can result in them potentially making a sale, thus increasing company revenue. Method: For the analysis of the forums, an untapped channel for sales leads by the company, text analysis techniques are utilized to identify potential sales leads and the discussion topics and sentiments in those leads. Results: Results of our preliminary work make a positive contribution in lessening the community manager’s work in understanding the sentiment and discussion topics in the hybrid open source forum community, as well as make it easier and faster to identify potential future customers. Conclusion: We believe that the results will positively contribute to improving the sales of licenses for the hybrid open source companyPeer reviewe

Conferring resistance to digital disinformation: the innoculating influence of procedural news knowledge

Despite the pervasiveness of digital disinformation in society, little is known about the individual characteristics that make some users more susceptible to erroneous information uptake than others, effectively dividing the media audience into prone and resistant groups. This study identifies and tests procedural news knowledge as a consequential civic resource with the capacity to inoculate audiences from disinformation and close this “resistance gap.” Engaging the persuasion knowledge model, the study utilizes data from two national surveys to demonstrate that possessing working knowledge of how the news media operate aids in the identification and effects of fabricated news and native advertising.Accepted manuscrip

Intent Detection through Text Mining and Analysis

The article is about the work investigated using n-grams, parts-Of-Speech and Support Vector machines for detecting the customer intents in the user generated contents. The work demonstrated a system of categorization of customer intents that is concise and useful for business purposes. We examined possible sources of text posts to be analyzed using three text mining algorithms. We presented the three algorithms and the results of testing them in detecting different six intents. This work established that intent detection can be performed on text posts with approximately 61% accuracy

Online consumer engagement: understanding the antecedents and outcomes

2012 Summer.Includes bibliographical references.Given the adoption rates of social media and specifically social networking sites among consumers and companies alike, practitioners and academics need to understand the role of social media within a company's marketing efforts. Specifically, understanding the consumer behavior process of how consumers perceive features on a company's social media page and how these features may lead to loyalty and ultimately consumers' repurchase intentions is critical to justify marketing efforts to upper management. This study focused on this process by situating online consumer engagement between consumers' perceptions about features on a company's social media page and loyalty and (re)purchase intent. Because online consumer engagement is an emerging construct within the marketing literature, the purpose of this study was not only to test the framework of online consumer engagement but also to explore the concept of online consumer engagement within a marketing context. The study refined the definition of online consumer engagement as an attempt to align the industry and academic definitions of the construct. The social networking site, Facebook, was utilized to test the online consumer engagement framework. Specifically, the study examined whether and how perceived Facebook company page features (i.e., perceived information quality, perceived enjoyment, and perceived interactivity) predicted online consumer engagement, and further investigated whether and how online consumer engagement with companies on Facebook related to loyalty and ultimately (re)purchase intent. First, focus groups were conducted to get a better understanding of the "liking" behavior on Facebook and to refine the survey questionnaire. Next, 233 online surveys were collected from U.S. adult Facebook users who "like" companies on Facebook to test the online consumer engagement framework. Hypotheses were tested through structural equation modeling. Findings suggest that perceived Facebook characteristics (i.e., perceived information quality, perceived enjoyment, and perceived interactivity) influence online consumer engagement, which influences loyalty and ultimately (re)purchase intent. Results also revealed that online consumer engagement is a multidimensional construct that encompasses both cognitive/affective and participative dimensions. This study provides the first steps in understanding the role that online consumer engagement plays within a mediated environment that includes both consumers and companies. Implications both academically and for the industry are discussed, and directions for future research endeavors are presented