This work‐in‐progress study investigates the information sharing behavior of different levels of Twitter influencers within the context of the #BlackLivesMatter social movement and its related discussions #AlllivesMatter and #BlueLivesMatter during the 2‐week period around Derek Chauvin’s trial. Using qualitative content analysis and quantitative machine learning methods, we analyzed over one million retweets to test if different levels of influencers tend to spread different kinds of information in the discussions around #All/Black/BlueLivesMatter on Twitter. We found out that different levels of influencers tend to spread different information within and between the #All/Black/BlueLivesMatter, and we offer some explanations through the lens of curation logics. We suggest that different levels of influencers may be exposed to different incentives, and be facing different social norms, which leads to different information behaviors. This work‐in‐progress study contributes to updating the theory of curated logics, virality, and influencers, as well as provides empirical data for the discussions of the #BlackLivesMatter social movement and its related discussions of #AllLivesMatter and #BlueLivesMatter.

As social media continues to integrate into people’s everyday lives, it provides a space for people to present their work and connect with others. This study seeks to understand how Dribbble.com, a site created in 2009 for visual designers to showcase their work, plays a role in the transformation of the visual design industry and design education. We use sociotechnical transitions theory to interpret 30 semi‐structured interviews with active Dribbble users. We find that the niche site Dribbble, along with the constellation of sites around it, are changing design regimes (the ways work gets done). Our Dribbble users report that the site changes how they develop and maintain their skills, find inspiration to solve design problems, keep up with trends, network with peers, produce and promote their portfolios and find jobs. However, the site also presents some challenges. For example, our interviewees indicate that they no longer receive constructive feedback on the platform. These emerging regimes are competing with, and coexisting with, existing design regimes. Our work contributes to social media studies by looking at under‐studied niche sites, like Dribbble, and how sites in the design space may be impacting the wider society.

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This study investigates the information sharing behavior of different levels of Twitter influencers within the context of the #BlackLivesMatter social movement and its related discussions #AlllivesMatter and #BlueLivesMatter during the 2-week period around Derek Chauvin’s trial. Using qualitative content analysis and quantitative machine learning methods, we analyzed over one million retweets to test if different levels of influencers tend to spread different kinds of information in the discussions around #All/Black/BlueLivesMatter on Twitter. We found out that different levels of influencers tend to spread different information within and between the #All/Black/BlueLivesMatter, and we offer some explanations through the lens of curation logics. We suggest that different levels of influencers may be exposed to different incentives, and be facing different social norms, which leads to different information behaviors. This research contributes to updating the theory of curated logics, virality, and influencers, as well as provides empirical data for the discussions of the #BlackLivesMatter social movement and its related discussions of #AllLivesMatter and #BlueLivesMatter.