18 November 2024 to 20 November 2024 The HIVI project is coming to an end after three exciting years. Its final conference on the history of online virality will take place from 18 to 20 November 2024 at the Black Box (Maison des Sciences humaines, Belval). The theme for the conference is: Past, present and future of online virality. Thanks to our … Continued
Discover some of the most silly and impactful challenges, memes, Internet phenomena through this timeline created by Emily Griffin.
“Authenticity.” If one keyword should summarize the roundtable «Les Influenceurs. Une plongée dans les pratiques et cultures numériques» taking place on 13 October at the University of Luxembourg, “authenticity” would be it. The event gathered some of the more renowned influencers in Luxembourg: the model and family lifestyle influencer Natascha Bintz, the make-up artist Luca de … Continued
The book Online Virality, edited by Valérie Schafer and Fred Pailler within the frame of the HIVI Project (https://hivi.uni.lu), aims to focus on the many ways we may think about online virality, historicise it and analyse the circulation, reception, evolution of viral born-digital content. Virality, information circulation and content sharing always intertwine a heterogeneous arrangement of material, … Continued
Søren Vigild Poulsen, “Becoming a semiotic technology – a historical study of Instagram’s tools for making and sharing photos and videos”, Internet Histories, 2018, 2: 1-2, pp. 121-139, DOI: 10.1080/24701475.2018.1459350 Abstract: (…) Drawing on a social semiotic multimodal framework, this article presents an analysis of selected tools in the Instagram mobile user interface from 2010 until 2017. It reports on the findings of … Continued
Yuheng Hu, Lydia Manikonda and Subbarao Kambhampati, “What We Instagram: A First Analysis of Instagram Photo Content and User Types”, Proceedings of the International AAAI Conference on Web and Social Media, 2014, 8(1). Abstract: (…) In this paper, we present both qualitative and quantitative analysis on Instagram. We use computer vision techniques to examine the photo content. … Continued