Selling brands while staying “Authentic”: The professionalization of Instagram influencers

While Instagram influencers may have started out as ordinary people documenting their everyday life through a stream of photographs, they are increasingly emerging as an intermediary between advertisers and consumers. This study examines the professionalization of Instagram influencers, combining data from 11 interviews with travel influencers with a visual and textual content analysis of their 12 most recent Instagram posts (N = 132). We show how the increasing professionalization of the influencer steers their relationship with their audience, the advertisers they work with, and the platform Instagram. We argue that, for the Instagram influencer to be perceived as successful, they need to negotiate a tension: they need to appear authentic, yet also approach their followers in a strategic way to remain appealing to advertisers. Although Instagram influencers are seen as more trustworthy than traditional forms of advertising, this tension ultimately leads to a standardization of the content shared by influencers

Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages

Since the introduction of social media platforms, researchers have investigated how the use of such media affects adolescents’ well-being. Thus far, findings have been inconsistent. The aim of our interdisciplinary project is to provide a more thorough understanding of these inconsistencies by investigating who benefits from social media use, who does not and why it is beneficial for one yet harmful for another. In this presentation, we explain our approach to combining social scientific self-report data with the use of deep learning to analyze personal Instagram archive

Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages

Since the introduction of social media platforms, researchers have investigated how the use of such media affects adolescents’ well-being. Thus far, findings have been inconsistent. The aim of our interdisciplinary project is to provide a more thorough understanding of these inconsistencies by investigating who benefits from social media use, who does not and why it is beneficial for one yet harmful for another. In this presentation, we explain our approach to combining social scientific self-report data with the use of deep learning to analyze personal Instagram archive